changeset 11532:c0bf85c65b80 octave-forge

maint: remove control-devel (it's been using the hg repo)
author carandraug
date Sun, 10 Mar 2013 13:02:11 +0000
parents 92d416c19bea
children 761eecba969d
files extra/control-devel/COPYING extra/control-devel/DESCRIPTION extra/control-devel/INDEX extra/control-devel/INFO extra/control-devel/Makefile extra/control-devel/devel/CD_player_arm-1.dat extra/control-devel/devel/CDplayer.m extra/control-devel/devel/CDplayerARX.m extra/control-devel/devel/CDplayerVS.m extra/control-devel/devel/CDplayer_a.m extra/control-devel/devel/Destillation.m extra/control-devel/devel/DestillationME.m extra/control-devel/devel/DestillationMEarx.m extra/control-devel/devel/Destillation_a.m extra/control-devel/devel/Destillation_combinations.m extra/control-devel/devel/Evaporator.m extra/control-devel/devel/GlassFurnace.m extra/control-devel/devel/GlassFurnaceARX.m extra/control-devel/devel/HeatingSystem.m extra/control-devel/devel/HeatingSystemKP.m extra/control-devel/devel/HeatingSystemRLS.m extra/control-devel/devel/Ident_results.zip extra/control-devel/devel/LakeErie.m extra/control-devel/devel/LakeErieARX.m extra/control-devel/devel/LakeErieMultiplot.m extra/control-devel/devel/MLexp/mln4sid.m extra/control-devel/devel/MLexp/mlpplant.m extra/control-devel/devel/MLexp/powerplant.dat extra/control-devel/devel/MLexp/pplant.mat extra/control-devel/devel/PowerPlant.m extra/control-devel/devel/PowerPlantFFT.m extra/control-devel/devel/PowerPlantKP.m extra/control-devel/devel/PowerPlantVS.m extra/control-devel/devel/PowerPlant_a.m extra/control-devel/devel/PowerPlant_combinations.m extra/control-devel/devel/REDUCTION_METHODS extra/control-devel/devel/armax.m extra/control-devel/devel/arx_siso.m extra/control-devel/devel/compare_results_hnamodred.m extra/control-devel/devel/destill.dat extra/control-devel/devel/dksyn/AB04MD.f extra/control-devel/devel/dksyn/AB05MD.f extra/control-devel/devel/dksyn/AB07MD.f extra/control-devel/devel/dksyn/AB07ND.f extra/control-devel/devel/dksyn/AB13MD.f extra/control-devel/devel/dksyn/DG01MD.f extra/control-devel/devel/dksyn/MA02AD.f extra/control-devel/devel/dksyn/MA02ED.f extra/control-devel/devel/dksyn/MB01PD.f extra/control-devel/devel/dksyn/MB01QD.f extra/control-devel/devel/dksyn/MB01RU.f extra/control-devel/devel/dksyn/MB01RX.f extra/control-devel/devel/dksyn/MB01RY.f extra/control-devel/devel/dksyn/MB01SD.f extra/control-devel/devel/dksyn/MB01UD.f extra/control-devel/devel/dksyn/MB02PD.f extra/control-devel/devel/dksyn/MB02RZ.f extra/control-devel/devel/dksyn/MB02SZ.f extra/control-devel/devel/dksyn/MB02TZ.f extra/control-devel/devel/dksyn/MB03OY.f extra/control-devel/devel/dksyn/MC01PD.f extra/control-devel/devel/dksyn/SB02MR.f extra/control-devel/devel/dksyn/SB02MS.f extra/control-devel/devel/dksyn/SB02MV.f extra/control-devel/devel/dksyn/SB02MW.f extra/control-devel/devel/dksyn/SB02QD.f extra/control-devel/devel/dksyn/SB02RD.f extra/control-devel/devel/dksyn/SB02RU.f extra/control-devel/devel/dksyn/SB02SD.f extra/control-devel/devel/dksyn/SB03MV.f extra/control-devel/devel/dksyn/SB03MW.f extra/control-devel/devel/dksyn/SB03MX.f extra/control-devel/devel/dksyn/SB03MY.f extra/control-devel/devel/dksyn/SB03QX.f extra/control-devel/devel/dksyn/SB03QY.f extra/control-devel/devel/dksyn/SB03SX.f extra/control-devel/devel/dksyn/SB03SY.f extra/control-devel/devel/dksyn/SB04PX.f extra/control-devel/devel/dksyn/SB10AD.f extra/control-devel/devel/dksyn/SB10LD.f extra/control-devel/devel/dksyn/SB10MD.f extra/control-devel/devel/dksyn/SB10PD.f extra/control-devel/devel/dksyn/SB10QD.f extra/control-devel/devel/dksyn/SB10RD.f extra/control-devel/devel/dksyn/SB10YD.f extra/control-devel/devel/dksyn/SB10ZP.f extra/control-devel/devel/dksyn/TB01ID.f extra/control-devel/devel/dksyn/TB01PD.f extra/control-devel/devel/dksyn/TB01UD.f extra/control-devel/devel/dksyn/TB01XD.f extra/control-devel/devel/dksyn/TB05AD.f extra/control-devel/devel/dksyn/TD03AY.f extra/control-devel/devel/dksyn/TD04AD.f extra/control-devel/devel/dksyn/makefile_dksyn.m extra/control-devel/devel/dksyn/muHopt.f extra/control-devel/devel/dksyn/select.f extra/control-devel/devel/erie.dat extra/control-devel/devel/evaporator.dat extra/control-devel/devel/fixtest.m extra/control-devel/devel/generate_devel_pdf.m extra/control-devel/devel/glassfurnace.dat extra/control-devel/devel/heating_system.dat extra/control-devel/devel/iddata_merge.m extra/control-devel/devel/identVS.m extra/control-devel/devel/ident_combinations.m extra/control-devel/devel/makefile_devel.m extra/control-devel/devel/pH.m extra/control-devel/devel/pH2.m extra/control-devel/devel/pHarx.m extra/control-devel/devel/pHdata.dat extra/control-devel/devel/pdfdoc/collect_texinfo_strings.m extra/control-devel/devel/pdfdoc/control-devel.tex extra/control-devel/devel/pdfdoc/info_generate_manual.txt extra/control-devel/devel/powerplant.dat extra/control-devel/devel/rarx.m extra/control-devel/devel/subsref_problem.m extra/control-devel/devel/test_arx.m extra/control-devel/devel/test_fitfrd.m extra/control-devel/devel/test_frd2iddata.m extra/control-devel/devel/test_iddata.m extra/control-devel/inst/test_devel.m extra/control-devel/src/Makefile extra/control-devel/src/common.cc extra/control-devel/src/common.h extra/control-devel/src/devel_slicot_functions.cc extra/control-devel/src/readme extra/control-devel/src/slicot.tar.gz extra/control-devel/src/slident_a.cc extra/control-devel/src/slident_b.cc extra/control-devel/src/slident_c.cc
diffstat 130 files changed, 0 insertions(+), 42673 deletions(-) [+]
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--- a/extra/control-devel/COPYING	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,674 +0,0 @@
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-covered work in a country, or your recipient's use of the covered work
-in a country, would infringe one or more identifiable patents in that
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-specifically granted under this License.  You may not convey a covered
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-  13. Use with the GNU Affero General Public License.
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-                     END OF TERMS AND CONDITIONS
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-    but WITHOUT ANY WARRANTY; without even the implied warranty of
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-    along with this program.  If not, see <http://www.gnu.org/licenses/>.
-
-Also add information on how to contact you by electronic and paper mail.
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-    <program>  Copyright (C) <year>  <name of author>
-    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
-    This is free software, and you are welcome to redistribute it
-    under certain conditions; type `show c' for details.
-
-The hypothetical commands `show w' and `show c' should show the appropriate
-parts of the General Public License.  Of course, your program's commands
-might be different; for a GUI interface, you would use an "about box".
-
-  You should also get your employer (if you work as a programmer) or school,
-if any, to sign a "copyright disclaimer" for the program, if necessary.
-For more information on this, and how to apply and follow the GNU GPL, see
-<http://www.gnu.org/licenses/>.
-
-  The GNU General Public License does not permit incorporating your program
-into proprietary programs.  If your program is a subroutine library, you
-may consider it more useful to permit linking proprietary applications with
-the library.  If this is what you want to do, use the GNU Lesser General
-Public License instead of this License.  But first, please read
-<http://www.gnu.org/philosophy/why-not-lgpl.html>.
--- a/extra/control-devel/DESCRIPTION	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,11 +0,0 @@
-Name: Control-Devel
-Version: 0.3.0
-Date: 2012-08-14
-Author: Lukas Reichlin <lukas.reichlin@gmail.com>
-Maintainer: Lukas Reichlin <lukas.reichlin@gmail.com>
-Title: Control Systems Developer's Playground
-Description: SLICOT system identification plus model and controller reduction
-Depends: octave (>= 3.6.0), control (>= 2.3.49), control (< 2.4.0)
-Autoload: yes
-License: GPL version 3 or later
-Url: http://octave.sf.net, http://www.slicot.org
--- a/extra/control-devel/INDEX	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,31 +0,0 @@
-control-devel >> Control Theory
-Examples
-Experimental Data Handling
-  iddata
-  @iddata/cat
-  @iddata/detrend
-  @iddata/diff
-  @iddata/fft
-  @iddata/filter
-  @iddata/get
-  @iddata/ifft
-  @iddata/merge
-  @iddata/nkshift
-  @iddata/plot
-  @iddata/resample
-  @iddata/set
-  @iddata/size
-System Identification
-  arx
-  fitfrd
-  moen4
-  moesp
-  n4sid
-Overloaded Operators
-  @iddata/horzcat
-  @iddata/subsasgn
-  @iddata/subsref
-  @iddata/vertcat
-Miscellaneous
-  options
-  test_devel
\ No newline at end of file
--- a/extra/control-devel/INFO	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,3 +0,0 @@
-This package is just a playground for the author.
-All its code will be included in the control package
-once it's ready for a release.
\ No newline at end of file
--- a/extra/control-devel/Makefile	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,16 +0,0 @@
-sinclude ../../Makeconf
-
-PKG_FILES = COPYING DESCRIPTION INDEX INFO $(wildcard inst/*)
-SUBDIRS = doc/
-
-.PHONY: $(SUBDIRS)
-
-pre-pkg::
-	@for _dir in $(SUBDIRS); do \
-	  $(MAKE) -C $$_dir all; \
-	done
-
-clean:
-	@for _dir in $(SUBDIRS); do \
-	  $(MAKE) -C $$_dir $(MAKECMDGOALS); \
-	done
--- a/extra/control-devel/devel/CD_player_arm-1.dat	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,2048 +0,0 @@
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-  -4.0570000e-01	   1.8340000e-01	   7.5150000e-01	  -2.9080000e-01	
-  -3.8810000e-01	   1.0130000e-01	   7.2850000e-01	  -1.2830000e-01	
-  -3.6520000e-01	   7.6000000e-03	   6.8650000e-01	  -3.5800000e-02	
-  -3.3410000e-01	  -8.5200000e-02	   6.4550000e-01	  -6.8300000e-02	
-  -2.8410000e-01	  -1.6950000e-01	   5.6850000e-01	  -7.8300000e-02	
-  -2.1570000e-01	  -2.3790000e-01	   4.2450000e-01	   3.1700000e-02	
-  -1.4110000e-01	  -3.2040000e-01	   2.9750000e-01	   1.1670000e-01	
-  -7.0900000e-02	  -4.6220000e-01	   1.9650000e-01	   1.8420000e-01	
-  -9.0000000e-03	  -6.6830000e-01	   6.3500000e-02	   2.9670000e-01	
-   4.7100000e-02	  -8.6510000e-01	  -2.7500000e-02	   2.6170000e-01	
-   9.2300000e-02	  -9.7520000e-01	  -1.4350000e-01	   4.9920000e-01	
-   1.2020000e-01	  -9.7620000e-01	  -1.8350000e-01	   5.5920000e-01	
-   1.4420000e-01	  -9.3240000e-01	  -9.7500000e-02	   1.9670000e-01	
-   1.6750000e-01	  -9.1280000e-01	  -2.0150000e-01	   4.1420000e-01	
-   1.7320000e-01	  -8.4190000e-01	  -3.3050000e-01	   5.3170000e-01	
-   1.6250000e-01	  -6.6950000e-01	  -2.8150000e-01	   1.4420000e-01	
-   1.4410000e-01	  -4.9380000e-01	  -2.3750000e-01	   1.8920000e-01	
--- a/extra/control-devel/devel/CDplayer.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,71 +0,0 @@
-%{
-Contributed by:
-	Favoreel
-	KULeuven
-	Departement Electrotechniek ESAT/SISTA
-Kardinaal Mercierlaan 94
-B-3001 Leuven
-Belgium
-	wouter.favoreel@esat.kuleuven.ac.be
-Description:
-	Data from the mechanical construction of a CD player arm.  
-	The inputs are the forces of the mechanical actuators
-  	while the outputs are related to the tracking accuracy of the arm.
-  	The data was measured in closed loop, and then through a two-step
-  	procedure converted to open loop equivalent data
-    	The inputs are highly colored.
-Sampling:
-Number:
-	2048
-Inputs:
-	u: forces of the mechanical actuators
-Outputs:
-	y: tracking accuracy of the arm
-References:
-  	We are grateful to R. de Callafon of the
-    	Mechanical Engineering Systems and Control group of Delft, who
-    	provided us with these data.
-	
-	- Van Den Hof P., Schrama R.J.P., An Indirect Method for Transfer 
-	  Function Estimation From Closed Loop Data. Automatica, Vol. 29, 
-	  no. 6, pp. 1523-1527, 1993.
-
-Properties: 
-Columns:
-	Column 1: input u1
-	Column 2: input u2
-	Column 1: output y1
-	Column 2: output y2
-Category:
-	mechanical systems
-
-%}
-
-clear all, close all, clc
-
-load CD_player_arm-1.dat
-U=CD_player_arm_1(:,1:2);
-Y=CD_player_arm_1(:,3:4);
-
-
-dat = iddata (Y, U)
-
-% [sys, x0] = moen4 (dat, 8, 's', 15)     % s=15, n=8
-[sys, x0] = moen4 (dat, 8, 's', 15, 'noise', 'k')     % s=15, n=8
-
-
-
-%[y, t] = lsim (sys, U, [], x0);
-[y, t] = lsim (sys, [U, Y], [], x0);
-
-
-err = norm (Y - y, 1) / norm (Y, 1)
-
-figure (1)
-p = columns (Y);
-for k = 1 : p
-  subplot (2, 1, k)
-  plot (t, Y(:,k), 'b', t, y(:,k), 'r')
-endfor
-
-
--- a/extra/control-devel/devel/CDplayerARX.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,82 +0,0 @@
-%{
-Contributed by:
-	Favoreel
-	KULeuven
-	Departement Electrotechniek ESAT/SISTA
-Kardinaal Mercierlaan 94
-B-3001 Leuven
-Belgium
-	wouter.favoreel@esat.kuleuven.ac.be
-Description:
-	Data from the mechanical construction of a CD player arm.  
-	The inputs are the forces of the mechanical actuators
-  	while the outputs are related to the tracking accuracy of the arm.
-  	The data was measured in closed loop, and then through a two-step
-  	procedure converted to open loop equivalent data
-    	The inputs are highly colored.
-Sampling:
-Number:
-	2048
-Inputs:
-	u: forces of the mechanical actuators
-Outputs:
-	y: tracking accuracy of the arm
-References:
-  	We are grateful to R. de Callafon of the
-    	Mechanical Engineering Systems and Control group of Delft, who
-    	provided us with these data.
-	
-	- Van Den Hof P., Schrama R.J.P., An Indirect Method for Transfer 
-	  Function Estimation From Closed Loop Data. Automatica, Vol. 29, 
-	  no. 6, pp. 1523-1527, 1993.
-
-Properties: 
-Columns:
-	Column 1: input u1
-	Column 2: input u2
-	Column 1: output y1
-	Column 2: output y2
-Category:
-	mechanical systems
-
-%}
-
-clear all, close all, clc
-
-load CD_player_arm-1.dat
-U=CD_player_arm_1(:,1:2);
-Y=CD_player_arm_1(:,3:4);
-
-
-dat = iddata (Y, U)
-
-% [sys, x0] = ident (dat, 15, 8)     % s=15, n=8
-[sys, x0] = arx (dat, 'na', 8, 'nb', 8)
-
-[y, t] = lsim (sys, U, [], x0);
-
-%{
-%[y, t] = lsim (sys, U, [], x0);
-%[y, t] = lsim (sys(:,1:2), U);
-
-[A, B] = filtdata (sys);
-%[A, B] = tfdata (sys);
-
-
-y1 = filter (B{1,1}, A{1,1}, U(:,1)) + filter (B{1,2}, A{1,2}, U(:,2));
-y2 = filter (B{2,1}, A{2,1}, U(:,1)) + filter (B{2,2}, A{2,2}, U(:,2));
-y = [y1, y2];
-
-t = 0:length(U)-1;
-%}
-
-err = norm (Y - y, 1) / norm (Y, 1)
-
-figure (1)
-p = columns (Y);
-for k = 1 : p
-  subplot (2, 1, k)
-  plot (t, Y(:,k), 'b', t, y(:,k), 'r')
-endfor
-
-
--- a/extra/control-devel/devel/CDplayerVS.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,67 +0,0 @@
-%{
-Contributed by:
-	Favoreel
-	KULeuven
-	Departement Electrotechniek ESAT/SISTA
-Kardinaal Mercierlaan 94
-B-3001 Leuven
-Belgium
-	wouter.favoreel@esat.kuleuven.ac.be
-Description:
-	Data from the mechanical construction of a CD player arm.  
-	The inputs are the forces of the mechanical actuators
-  	while the outputs are related to the tracking accuracy of the arm.
-  	The data was measured in closed loop, and then through a two-step
-  	procedure converted to open loop equivalent data
-    	The inputs are highly colored.
-Sampling:
-Number:
-	2048
-Inputs:
-	u: forces of the mechanical actuators
-Outputs:
-	y: tracking accuracy of the arm
-References:
-  	We are grateful to R. de Callafon of the
-    	Mechanical Engineering Systems and Control group of Delft, who
-    	provided us with these data.
-	
-	- Van Den Hof P., Schrama R.J.P., An Indirect Method for Transfer 
-	  Function Estimation From Closed Loop Data. Automatica, Vol. 29, 
-	  no. 6, pp. 1523-1527, 1993.
-
-Properties: 
-Columns:
-	Column 1: input u1
-	Column 2: input u2
-	Column 1: output y1
-	Column 2: output y2
-Category:
-	mechanical systems
-
-%}
-
-clear all, close all, clc
-
-load CD_player_arm-1.dat
-U=CD_player_arm_1(:,1:2);
-Y=CD_player_arm_1(:,3:4);
-
-
-dat = iddata (Y, U)
-
-[sys, x0] = identVS (dat, 15, 8)     % s=15, n=8
-
-
-[y, t] = lsim (sys, U, [], x0);
-
-err = norm (Y - y, 1) / norm (Y, 1)
-
-figure (1)
-p = columns (Y);
-for k = 1 : p
-  subplot (2, 1, k)
-  plot (t, Y(:,k), 'b', t, y(:,k), 'r')
-endfor
-
-
--- a/extra/control-devel/devel/CDplayer_a.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,67 +0,0 @@
-%{
-Contributed by:
-	Favoreel
-	KULeuven
-	Departement Electrotechniek ESAT/SISTA
-Kardinaal Mercierlaan 94
-B-3001 Leuven
-Belgium
-	wouter.favoreel@esat.kuleuven.ac.be
-Description:
-	Data from the mechanical construction of a CD player arm.  
-	The inputs are the forces of the mechanical actuators
-  	while the outputs are related to the tracking accuracy of the arm.
-  	The data was measured in closed loop, and then through a two-step
-  	procedure converted to open loop equivalent data
-    	The inputs are highly colored.
-Sampling:
-Number:
-	2048
-Inputs:
-	u: forces of the mechanical actuators
-Outputs:
-	y: tracking accuracy of the arm
-References:
-  	We are grateful to R. de Callafon of the
-    	Mechanical Engineering Systems and Control group of Delft, who
-    	provided us with these data.
-	
-	- Van Den Hof P., Schrama R.J.P., An Indirect Method for Transfer 
-	  Function Estimation From Closed Loop Data. Automatica, Vol. 29, 
-	  no. 6, pp. 1523-1527, 1993.
-
-Properties: 
-Columns:
-	Column 1: input u1
-	Column 2: input u2
-	Column 1: output y1
-	Column 2: output y2
-Category:
-	mechanical systems
-
-%}
-
-close all, clc
-
-load CD_player_arm-1.dat
-U=CD_player_arm_1(:,1:2);
-Y=CD_player_arm_1(:,3:4);
-
-
-dat = iddata (Y, U)
-
-[sys, x0] = ident_a (dat, 15, 8)     % s=15, n=8
-
-
-[y, t] = lsim (sys, U, [], x0);
-
-err = norm (Y - y, 1) / norm (Y, 1)
-
-figure (1)
-p = columns (Y);
-for k = 1 : p
-  subplot (2, 1, k)
-  plot (t, Y(:,k), 'b', t, y(:,k), 'r')
-endfor
-
-
--- a/extra/control-devel/devel/Destillation.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,96 +0,0 @@
-%{
-This file describes the data in the destill.dat file.
-1. Contributed by:
-	Peter Van Overschee
-	K.U.Leuven - ESAT - SISTA
-	K. Mercierlaan 94
-	3001 Heverlee
-	Peter.Vanoverschee@esat.kuleuven.ac.be
-2. Process/Description:
-	Data of a simulation (not real !) related to the identification
-   	of an ethane-ethylene destillationcolumn. The series consists of 4
-	series: 
-		U_dest, Y_dest: 	without noise (original series)
-		U_dest_n10, Y_dest_n10:	10 percent additive white noise
-		U_dest_n20, Y_dest_n20: 20 percent additive white noise
-		U_dest_n30, Y_dest_n30:	30 percent additive white noise
-3. Sampling time 
-	15 min.
-4. Number of samples: 
-	90 samples
-5. Inputs:
-	a. ratio between the reboiler duty and the feed flow
-   	b. ratio between the reflux rate and the feed flow
-   	c. ratio between the distillate and the feed flow
-   	d. input ethane composition
-   	e. top pressure
-6. Outputs:
-	a. top ethane composition
-	b. bottom ethylene composition
-   	c. top-bottom differential pressure.
-7. References:
-	R.P. Guidorzi, M.P. Losito, T. Muratori, The range error test in the
-	structural identification of linear multivariable systems,
-   	IEEE transactions on automatic control, Vol AC-27, pp 1044-1054, oct.
-   	1982.
-8. Known properties/peculiarities
-	
-9. Some MATLAB-code to retrieve the data
-	!gunzip destill.dat.Z
-	load destill.dat
-	U=destill(:,1:20);
-	Y=destill(:,21:32);
-	U_dest=U(:,1:5);
-	U_dest_n10=U(:,6:10);
-	U_dest_n20=U(:,11:15);	
-	U_dest_n30=U(:,16:20);
-	Y_dest=Y(:,1:3);
-	Y_dest_n10=Y(:,4:6);
-	Y_dest_n20=Y(:,7:9);
-	Y_dest_n30=Y(:,10:12);
-%}
-
-clear all, close all, clc
-
-% DaISy code is wrong,
-% first column is sample number
-load destill.dat
-U=destill(:,2:21);
-Y=destill(:,22:33);
-U_dest=U(:,1:5);
-U_dest_n10=U(:,6:10);
-U_dest_n20=U(:,11:15);	
-U_dest_n30=U(:,16:20);
-Y_dest=Y(:,1:3);
-Y_dest_n10=Y(:,4:6);
-Y_dest_n20=Y(:,7:9);
-Y_dest_n30=Y(:,10:12);
-
-Y = {Y_dest; Y_dest_n10; Y_dest_n20; Y_dest_n30};
-U = {U_dest; U_dest_n10; U_dest_n20; U_dest_n30};
-
-dat = iddata (Y, U)
-
-[sys, x0] = moen4 (dat, 's', 5, 'n', 4, 'noise', 'k')    % s=5, n=4
-
-x0=x0{1};
-
-[y, t] = lsim (sys, [U_dest, Y_dest], [], x0);
-%[y, t] = lsim (sys, U_dest);
-
-err = norm (Y_dest - y, 1) / norm (Y_dest, 1)
-
-figure (1)
-%plot (t, Y_dest, 'b')
-plot (t, Y_dest, 'b', t, y, 'r')
-legend ('y measured', 'y simulated', 'location', 'southeast')
-
-figure (2)
-p = columns (Y_dest);
-for k = 1 : 3
-  subplot (3, 1, k)
-  plot (t, Y_dest(:,k), 'b', t, y(:,k), 'r')
-  xlim ([0, 90])
-endfor
-legend ('y measured', 'y simulated', 'location', 'southeast')
-
--- a/extra/control-devel/devel/DestillationME.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,88 +0,0 @@
-%{
-This file describes the data in the destill.dat file.
-1. Contributed by:
-	Peter Van Overschee
-	K.U.Leuven - ESAT - SISTA
-	K. Mercierlaan 94
-	3001 Heverlee
-	Peter.Vanoverschee@esat.kuleuven.ac.be
-2. Process/Description:
-	Data of a simulation (not real !) related to the identification
-   	of an ethane-ethylene destillationcolumn. The series consists of 4
-	series: 
-		U_dest, Y_dest: 	without noise (original series)
-		U_dest_n10, Y_dest_n10:	10 percent additive white noise
-		U_dest_n20, Y_dest_n20: 20 percent additive white noise
-		U_dest_n30, Y_dest_n30:	30 percent additive white noise
-3. Sampling time 
-	15 min.
-4. Number of samples: 
-	90 samples
-5. Inputs:
-	a. ratio between the reboiler duty and the feed flow
-   	b. ratio between the reflux rate and the feed flow
-   	c. ratio between the distillate and the feed flow
-   	d. input ethane composition
-   	e. top pressure
-6. Outputs:
-	a. top ethane composition
-	b. bottom ethylene composition
-   	c. top-bottom differential pressure.
-7. References:
-	R.P. Guidorzi, M.P. Losito, T. Muratori, The range error test in the
-	structural identification of linear multivariable systems,
-   	IEEE transactions on automatic control, Vol AC-27, pp 1044-1054, oct.
-   	1982.
-8. Known properties/peculiarities
-	
-9. Some MATLAB-code to retrieve the data
-	!gunzip destill.dat.Z
-	load destill.dat
-	U=destill(:,1:20);
-	Y=destill(:,21:32);
-	U_dest=U(:,1:5);
-	U_dest_n10=U(:,6:10);
-	U_dest_n20=U(:,11:15);	
-	U_dest_n30=U(:,16:20);
-	Y_dest=Y(:,1:3);
-	Y_dest_n10=Y(:,4:6);
-	Y_dest_n20=Y(:,7:9);
-	Y_dest_n30=Y(:,10:12);
-%}
-
-clear all, close all, clc
-
-% DaISy code is wrong,
-% first column is sample number
-load destill.dat
-U=destill(:,2:21);
-Y=destill(:,22:33);
-U_dest=U(:,1:5);
-U_dest_n10=U(:,6:10);
-U_dest_n20=U(:,11:15);	
-U_dest_n30=U(:,16:20);
-Y_dest=Y(:,1:3);
-Y_dest_n10=Y(:,4:6);
-Y_dest_n20=Y(:,7:9);
-Y_dest_n30=Y(:,10:12);
-
-Y = {Y_dest; Y_dest_n10; Y_dest_n20; Y_dest_n30};
-U = {U_dest; U_dest_n10; U_dest_n20; U_dest_n30};
-
-dat = iddata (Y, U)
-
-[sys, x0] = moen4 (dat, 's', 5, 'n', 4)    % s=5, n=4
-
-x0=x0{1};
-
-[y, t] = lsim (sys, U_dest, [], x0);
-%[y, t] = lsim (sys, U_dest);
-
-err = norm (Y_dest - y, 1) / norm (Y_dest, 1)
-
-figure (1)
-%plot (t, Y_dest, 'b')
-plot (t, Y_dest, 'b', t, y, 'r')
-legend ('y measured', 'y simulated', 'location', 'southeast')
-
-
--- a/extra/control-devel/devel/DestillationMEarx.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,96 +0,0 @@
-%{
-This file describes the data in the destill.dat file.
-1. Contributed by:
-	Peter Van Overschee
-	K.U.Leuven - ESAT - SISTA
-	K. Mercierlaan 94
-	3001 Heverlee
-	Peter.Vanoverschee@esat.kuleuven.ac.be
-2. Process/Description:
-	Data of a simulation (not real !) related to the identification
-   	of an ethane-ethylene destillationcolumn. The series consists of 4
-	series: 
-		U_dest, Y_dest: 	without noise (original series)
-		U_dest_n10, Y_dest_n10:	10 percent additive white noise
-		U_dest_n20, Y_dest_n20: 20 percent additive white noise
-		U_dest_n30, Y_dest_n30:	30 percent additive white noise
-3. Sampling time 
-	15 min.
-4. Number of samples: 
-	90 samples
-5. Inputs:
-	a. ratio between the reboiler duty and the feed flow
-   	b. ratio between the reflux rate and the feed flow
-   	c. ratio between the distillate and the feed flow
-   	d. input ethane composition
-   	e. top pressure
-6. Outputs:
-	a. top ethane composition
-	b. bottom ethylene composition
-   	c. top-bottom differential pressure.
-7. References:
-	R.P. Guidorzi, M.P. Losito, T. Muratori, The range error test in the
-	structural identification of linear multivariable systems,
-   	IEEE transactions on automatic control, Vol AC-27, pp 1044-1054, oct.
-   	1982.
-8. Known properties/peculiarities
-	
-9. Some MATLAB-code to retrieve the data
-	!gunzip destill.dat.Z
-	load destill.dat
-	U=destill(:,1:20);
-	Y=destill(:,21:32);
-	U_dest=U(:,1:5);
-	U_dest_n10=U(:,6:10);
-	U_dest_n20=U(:,11:15);	
-	U_dest_n30=U(:,16:20);
-	Y_dest=Y(:,1:3);
-	Y_dest_n10=Y(:,4:6);
-	Y_dest_n20=Y(:,7:9);
-	Y_dest_n30=Y(:,10:12);
-%}
-
-clear all, close all, clc
-
-% DaISy code is wrong,
-% first column is sample number
-load destill.dat
-U=destill(:,2:21);
-Y=destill(:,22:33);
-U_dest=U(:,1:5);
-U_dest_n10=U(:,6:10);
-U_dest_n20=U(:,11:15);	
-U_dest_n30=U(:,16:20);
-Y_dest=Y(:,1:3);
-Y_dest_n10=Y(:,4:6);
-Y_dest_n20=Y(:,7:9);
-Y_dest_n30=Y(:,10:12);
-
-Y = {Y_dest; Y_dest_n10; Y_dest_n20; Y_dest_n30};
-U = {U_dest; U_dest_n10; U_dest_n20; U_dest_n30};
-
-dat = iddata (Y, U)
-
-[sys, x0] = moen4 (dat, 's', 5, 'n', 4)    % s=5, n=4
-sys2 = arx (dat, 'na', 4, 'nb', 4);
-[sys2, x02] = arx (dat, 'na', 4, 'nb', 4);
-
-x0=x0{1};
-x02=x02{1};
-
-[y, t] = lsim (sys, U_dest, [], x0);
-%[y2, t2] = lsim (sys2(:, 1:5), U_dest);
-[y2, t2] = lsim (sys2, U_dest, [], x02);
-
-
-% ARX has no initial conditions, therefore the bad results
-
-err = norm (Y_dest - y, 1) / norm (Y_dest, 1)
-err2 = norm (Y_dest - y2, 1) / norm (Y_dest, 1)
-
-figure (1)
-%plot (t, Y_dest, 'b')
-plot (t, Y_dest, t, y, t, y2)
-legend ('y measured', 'y MOEN4', 'y ARX', 'location', 'southeast')
-
-
--- a/extra/control-devel/devel/Destillation_a.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,83 +0,0 @@
-%{
-This file describes the data in the destill.dat file.
-1. Contributed by:
-	Peter Van Overschee
-	K.U.Leuven - ESAT - SISTA
-	K. Mercierlaan 94
-	3001 Heverlee
-	Peter.Vanoverschee@esat.kuleuven.ac.be
-2. Process/Description:
-	Data of a simulation (not real !) related to the identification
-   	of an ethane-ethylene destillationcolumn. The series consists of 4
-	series: 
-		U_dest, Y_dest: 	without noise (original series)
-		U_dest_n10, Y_dest_n10:	10 percent additive white noise
-		U_dest_n20, Y_dest_n20: 20 percent additive white noise
-		U_dest_n30, Y_dest_n30:	30 percent additive white noise
-3. Sampling time 
-	15 min.
-4. Number of samples: 
-	90 samples
-5. Inputs:
-	a. ratio between the reboiler duty and the feed flow
-   	b. ratio between the reflux rate and the feed flow
-   	c. ratio between the distillate and the feed flow
-   	d. input ethane composition
-   	e. top pressure
-6. Outputs:
-	a. top ethane composition
-	b. bottom ethylene composition
-   	c. top-bottom differential pressure.
-7. References:
-	R.P. Guidorzi, M.P. Losito, T. Muratori, The range error test in the
-	structural identification of linear multivariable systems,
-   	IEEE transactions on automatic control, Vol AC-27, pp 1044-1054, oct.
-   	1982.
-8. Known properties/peculiarities
-	
-9. Some MATLAB-code to retrieve the data
-	!gunzip destill.dat.Z
-	load destill.dat
-	U=destill(:,1:20);
-	Y=destill(:,21:32);
-	U_dest=U(:,1:5);
-	U_dest_n10=U(:,6:10);
-	U_dest_n20=U(:,11:15);	
-	U_dest_n30=U(:,16:20);
-	Y_dest=Y(:,1:3);
-	Y_dest_n10=Y(:,4:6);
-	Y_dest_n20=Y(:,7:9);
-	Y_dest_n30=Y(:,10:12);
-%}
-
- close all, clc
-
-load destill.dat
-U=destill(:,1:20);
-Y=destill(:,21:32);
-U_dest=U(:,1:5);
-U_dest_n10=U(:,6:10);
-U_dest_n20=U(:,11:15);	
-U_dest_n30=U(:,16:20);
-Y_dest=Y(:,1:3);
-Y_dest_n10=Y(:,4:6);
-Y_dest_n20=Y(:,7:9);
-Y_dest_n30=Y(:,10:12);
-
-
-dat = iddata (Y_dest, U_dest)
-
-[sys, x0] = ident_a (dat, 5, 4)    % s=5, n=4
-
-
-[y, t] = lsim (sys, U_dest, [], x0);
-%[y, t] = lsim (sys, U_dest);
-
-err = norm (Y_dest - y, 1) / norm (Y_dest, 1)
-
-figure (1)
-%plot (t, Y_dest, 'b')
-plot (t, Y_dest, 'b', t, y, 'r')
-legend ('y measured', 'y simulated', 'location', 'southeast')
-
-
--- a/extra/control-devel/devel/Destillation_combinations.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,90 +0,0 @@
-%{
-This file describes the data in the destill.dat file.
-1. Contributed by:
-	Peter Van Overschee
-	K.U.Leuven - ESAT - SISTA
-	K. Mercierlaan 94
-	3001 Heverlee
-	Peter.Vanoverschee@esat.kuleuven.ac.be
-2. Process/Description:
-	Data of a simulation (not real !) related to the identification
-   	of an ethane-ethylene destillationcolumn. The series consists of 4
-	series: 
-		U_dest, Y_dest: 	without noise (original series)
-		U_dest_n10, Y_dest_n10:	10 percent additive white noise
-		U_dest_n20, Y_dest_n20: 20 percent additive white noise
-		U_dest_n30, Y_dest_n30:	30 percent additive white noise
-3. Sampling time 
-	15 min.
-4. Number of samples: 
-	90 samples
-5. Inputs:
-	a. ratio between the reboiler duty and the feed flow
-   	b. ratio between the reflux rate and the feed flow
-   	c. ratio between the distillate and the feed flow
-   	d. input ethane composition
-   	e. top pressure
-6. Outputs:
-	a. top ethane composition
-	b. bottom ethylene composition
-   	c. top-bottom differential pressure.
-7. References:
-	R.P. Guidorzi, M.P. Losito, T. Muratori, The range error test in the
-	structural identification of linear multivariable systems,
-   	IEEE transactions on automatic control, Vol AC-27, pp 1044-1054, oct.
-   	1982.
-8. Known properties/peculiarities
-	
-9. Some MATLAB-code to retrieve the data
-	!gunzip destill.dat.Z
-	load destill.dat
-	U=destill(:,1:20);
-	Y=destill(:,21:32);
-	U_dest=U(:,1:5);
-	U_dest_n10=U(:,6:10);
-	U_dest_n20=U(:,11:15);	
-	U_dest_n30=U(:,16:20);
-	Y_dest=Y(:,1:3);
-	Y_dest_n10=Y(:,4:6);
-	Y_dest_n20=Y(:,7:9);
-	Y_dest_n30=Y(:,10:12);
-%}
-
-clear all, close all, clc
-
-% DaISy code is wrong,
-% first column is sample number
-load destill.dat
-U=destill(:,2:21);
-Y=destill(:,22:33);
-U_dest=U(:,1:5);
-U_dest_n10=U(:,6:10);
-U_dest_n20=U(:,11:15);	
-U_dest_n30=U(:,16:20);
-Y_dest=Y(:,1:3);
-Y_dest_n10=Y(:,4:6);
-Y_dest_n20=Y(:,7:9);
-Y_dest_n30=Y(:,10:12);
-
-
-dat = iddata (Y_dest, U_dest);
-
-err = zeros (3, 3);
-
-for meth = 0:2
-  for alg = 0:2
-    [sys, x0] = ident_combinations (dat, 5, 4, meth, alg);    % s=5, n=4
-    [y, t] = lsim (sys, U_dest, [], x0);
-    err(meth+1, alg+1) = norm (Y_dest - y, 1) / norm (Y_dest, 1);
-  endfor
-endfor
-
-err
-
-%{
-figure (1)
-%plot (t, Y_dest, 'b')
-plot (t, Y_dest, 'b', t, y, 'r')
-legend ('y measured', 'y simulated', 'location', 'southeast')
-%}
-
--- a/extra/control-devel/devel/Evaporator.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,68 +0,0 @@
-%{
-Contributed by:
-	Favoreel
-	KULeuven
-	Departement Electrotechniek ESAT/SISTA
-	Kardinaal Mercierlaan 94
-	B-3001 Leuven
-	Belgium
-	wouter.favoreel@esat.kuleuven.ac.be
-Description:
-	A four-stage evaporator to reduce the water content of a product, 
-	for example milk. The 3 inputs are feed flow, vapor flow to the 
-	first evaporator stage and cooling water flow. The three outputs 
-	are the dry matter content, the flow and the temperature of the 
-	outcoming product.
-Sampling:
-Number:
-	6305
-Inputs:
-	u1: feed flow to the first evaporator stage
-	u2: vapor flow to the first evaporator stage
-	u3: cooling water flow
-Outputs:
-	y1: dry matter content
-	y2: flow of the outcoming product
-	y3: temperature of the outcoming product
-References:
-	- Zhu Y., Van Overschee P., De Moor B., Ljung L., Comparison of 
-	  three classes of identification methods. Proc. of SYSID '94, 
-	  Vol. 1, 4-6 July, Copenhagen, Denmark, pp.~175-180, 1994.
-Properties:
-Columns:
-	Column 1: input u1
-	Column 2: input u2
-	Column 3: input u3
-	Column 4: output y1
-	Column 5: output y2
-	Column 6: output y3
-Category:
-	Thermic systems
-Where:
-
-%}
-
-clear all, close all, clc
-
-load evaporator.dat
-U=evaporator(:,1:3);
-Y=evaporator(:,4:6);
-
-
-dat = iddata (Y, U)
-
-[sys, x0] = moen4 (dat, 's', 10, 'n', 4, 'noise', 'k')     % s=10, n=4
-
-
-[y, t] = lsim (sys, [U, Y], [], x0);
-
-err = norm (Y - y, 1) / norm (Y, 1)
-
-figure (1)
-p = columns (Y);
-for k = 1 : p
-  subplot (3, 1, k)
-  plot (t, Y(:,k), 'b', t, y(:,k), 'r')
-endfor
-
-
--- a/extra/control-devel/devel/GlassFurnace.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,67 +0,0 @@
-%{
-This file describes the data in the glassfurnace.dat file.
-1. Contributed by:
-	Peter Van Overschee
-	K.U.Leuven - ESAT - SISTA
-	K. Mercierlaan 94
-	3001 Heverlee
-	Peter.Vanoverschee@esat.kuleuven.ac.be
-2. Process/Description:
-	Data of a glassfurnace (Philips)
-3. Sampling time 
-	
-4. Number of samples: 
-	1247 samples
-5. Inputs:
-	a. heating input
-   	b. cooling input
-   	c. heating input
-6. Outputs:
-	a. 6 outputs from temperature sensors in a cross section of the 
-	furnace
-7. References:
-	a. Van Overschee P., De Moor B., N4SID : Subspace Algorithms for 
-	the Identification of Combined Deterministic-Stochastic Systems, 
-	Automatica, Special Issue on Statistical Signal Processing and Control, 
-	Vol. 30, No. 1, 1994, pp. 75-93
-	b.  Van Overschee P., "Subspace identification : Theory, 
-	Implementation, Application" , Ph.D. Thesis, K.U.Leuven, February 1995. 
-8. Known properties/peculiarities
-	
-9. Some MATLAB-code to retrieve the data
-	!gunzip glassfurnace.dat.Z
-	load glassfurnace.dat
-      T=glassfurnace(:,1);
-	U=glassfurnace(:,2:4);
-	Y=glassfurnace(:,5:10);
-
-%}
-
-
-clear all, close all, clc
-
-load glassfurnace.dat
-T=glassfurnace(:,1);
-U=glassfurnace(:,2:4);
-Y=glassfurnace(:,5:10);
-
-
-dat = iddata (Y, U)
-
-[sys, x0, info] = moen4 (dat, 's', 10, 'n', 5, 'noise', 'k')     % s=10, n=5
-
-
-[y, t] = lsim (sys, [U, Y], [], x0);
-
-err = norm (Y - y, 1) / norm (Y, 1)
-
-figure (1)
-p = columns (Y);
-for k = 1 : p
-  subplot (3, 2, k)
-  plot (t, Y(:,k), 'b', t, y(:,k), 'r')
-endfor
-%title ('DaISy: Glass Furnace')
-%legend ('y measured', 'y simulated', 'location', 'southeast')
-
-
--- a/extra/control-devel/devel/GlassFurnaceARX.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,70 +0,0 @@
-%{
-This file describes the data in the glassfurnace.dat file.
-1. Contributed by:
-	Peter Van Overschee
-	K.U.Leuven - ESAT - SISTA
-	K. Mercierlaan 94
-	3001 Heverlee
-	Peter.Vanoverschee@esat.kuleuven.ac.be
-2. Process/Description:
-	Data of a glassfurnace (Philips)
-3. Sampling time 
-	
-4. Number of samples: 
-	1247 samples
-5. Inputs:
-	a. heating input
-   	b. cooling input
-   	c. heating input
-6. Outputs:
-	a. 6 outputs from temperature sensors in a cross section of the 
-	furnace
-7. References:
-	a. Van Overschee P., De Moor B., N4SID : Subspace Algorithms for 
-	the Identification of Combined Deterministic-Stochastic Systems, 
-	Automatica, Special Issue on Statistical Signal Processing and Control, 
-	Vol. 30, No. 1, 1994, pp. 75-93
-	b.  Van Overschee P., "Subspace identification : Theory, 
-	Implementation, Application" , Ph.D. Thesis, K.U.Leuven, February 1995. 
-8. Known properties/peculiarities
-	
-9. Some MATLAB-code to retrieve the data
-	!gunzip glassfurnace.dat.Z
-	load glassfurnace.dat
-      T=glassfurnace(:,1);
-	U=glassfurnace(:,2:4);
-	Y=glassfurnace(:,5:10);
-
-%}
-
-
-clear all, close all, clc
-
-load glassfurnace.dat
-T=glassfurnace(:,1);
-U=glassfurnace(:,2:4);
-Y=glassfurnace(:,5:10);
-
-
-dat = iddata (Y, U)
-
-%[sys, x0] = ident (dat, 10, 5)     % s=10, n=5
-%sys = arx (dat, 5)
-[sys, x0] = arx (dat, 5)
-
-%[y, t] = lsim (sys, U, [], x0);
-%[y, t] = lsim (sys(:, 1:3), U);
-[y, t] = lsim (sys, U, [], x0);
-
-err = norm (Y - y, 1) / norm (Y, 1)
-
-figure (1)
-p = columns (Y);
-for k = 1 : p
-  subplot (3, 2, k)
-  plot (t, Y(:,k), 'b', t, y(:,k), 'r')
-endfor
-%title ('DaISy: Glass Furnace')
-%legend ('y measured', 'y simulated', 'location', 'southeast')
-
-
--- a/extra/control-devel/devel/HeatingSystem.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,99 +0,0 @@
-%{
-1. Contributed by:
-
-        Roy Smith
-        Dept. of Electrical & Computer Engineering
-        University of California,
-	Santa Barbara, CA 93106
-	U.S.A.
-        roy@ece.ucsb.edu
-
-2. Process/Description:
-
-	The experiment is a simple SISO heating system.
-	The input drives a 300 Watt Halogen lamp, suspended
-	several inches above a thin steel plate.  The output
-	is a thermocouple measurement taken from the back of
-	the plate.
-
-3. Sampling interval: 
-
-	2.0 seconds
-
-4. Number of samples
-
-	801
-
-5. Inputs:
-        
-        u: input drive voltage
-        ...
-6. Outputs:
-
-        y: temperature (deg. C)
-        ...
-7. References:
-
-	The use of this experiment and data for robust
-	control model validation is described in:
-
-        "Sampled Data Model Validation: an Algorithm and
-        Experimental Application," Geir Dullerud & Roy Smith,
-        International Journal of Robust and Nonlinear Control,
-        Vol. 6, No. 9/10, pp. 1065-1078, 1996.
-
-8. Known properties/peculiarities
-
-	The data (and nominal model) is the above paper have the
-	output expressed in 10's deg. C.  This has been rescaled 
-	to the original units of deg. C. in the DaISy data set.
-	There is also a -1 volt offset in u in the data shown plotted
-	in the original paper.  This has been removed in the
-	DaISy dataset.
-
-	The data shows evidence of discrepancies.  One of the
-	issues studied in the above paper is the size of these
-	discrepancies - measured in this case in terms of the norm
-	of the smallest perturbation required to account for the
-	difference between the nominal model and the data.
-	
-	The steady state input (prior to the start of the experiment)
-	is u = 6.0 Volts.
-
-%}
-
-clear all, close all, clc
-
-load heating_system.dat
-U=heating_system(:,2);
-Y=heating_system(:,3);
-
-
-dat = iddata (Y, U, 2.0, 'inname', 'input drive voltage', \
-                         'inunit', 'Volt', \
-                         'outname', 'temperature', \
-                         'outunit', 'Degree Celsius')
-
-% s=15, n=7
-[sys1, x0] = moen4 (dat, 's', 15, 'n', 7)
-%sys2 = arx (dat, 7, 7)       % normally na = nb
-[sys2, x02] = arx (dat, 7);
-
-[y1, t1] = lsim (sys1, U, [], x0);
-%[y2, t] = lsim (sys2(:, 1), U);
-[y2, t] = lsim (sys2, U, [], x02);
-
-
-err1 = norm (Y - y1, 1) / norm (Y, 1)
-err2 = norm (Y - y2, 1) / norm (Y, 1)
-
-figure (1)
-plot (t, Y, t, y1, t, y2)
-title ('DaISy: Heating System [99-001]')
-xlim ([t(1), t(end)])
-xlabel ('Time [s]')
-ylabel ('Temperature [Degree Celsius]')
-legend ('measurement DaISy', 'simulation MOEN4', 'simulation ARX', 'location', 'northeast')
-
-
-
--- a/extra/control-devel/devel/HeatingSystemKP.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,103 +0,0 @@
-%{
-1. Contributed by:
-
-        Roy Smith
-        Dept. of Electrical & Computer Engineering
-        University of California,
-	Santa Barbara, CA 93106
-	U.S.A.
-        roy@ece.ucsb.edu
-
-2. Process/Description:
-
-	The experiment is a simple SISO heating system.
-	The input drives a 300 Watt Halogen lamp, suspended
-	several inches above a thin steel plate.  The output
-	is a thermocouple measurement taken from the back of
-	the plate.
-
-3. Sampling interval: 
-
-	2.0 seconds
-
-4. Number of samples
-
-	801
-
-5. Inputs:
-        
-        u: input drive voltage
-        ...
-6. Outputs:
-
-        y: temperature (deg. C)
-        ...
-7. References:
-
-	The use of this experiment and data for robust
-	control model validation is described in:
-
-        "Sampled Data Model Validation: an Algorithm and
-        Experimental Application," Geir Dullerud & Roy Smith,
-        International Journal of Robust and Nonlinear Control,
-        Vol. 6, No. 9/10, pp. 1065-1078, 1996.
-
-8. Known properties/peculiarities
-
-	The data (and nominal model) is the above paper have the
-	output expressed in 10's deg. C.  This has been rescaled 
-	to the original units of deg. C. in the DaISy data set.
-	There is also a -1 volt offset in u in the data shown plotted
-	in the original paper.  This has been removed in the
-	DaISy dataset.
-
-	The data shows evidence of discrepancies.  One of the
-	issues studied in the above paper is the size of these
-	discrepancies - measured in this case in terms of the norm
-	of the smallest perturbation required to account for the
-	difference between the nominal model and the data.
-	
-	The steady state input (prior to the start of the experiment)
-	is u = 6.0 Volts.
-
-%}
-
-clear all, close all, clc
-
-load heating_system.dat
-U=heating_system(:,2);
-Y=heating_system(:,3);
-
-
-dat = iddata (Y, U, 2.0, 'inname', 'input drive voltage', \
-                         'inunit', 'Volt', \
-                         'outname', 'temperature', \
-                         'outunit', '°C')
-
-% s=15, n=7
-%[sys1, x0] = moen4 (dat, 's', 15, 'n', 7)
-[sys1, x0] = moen4 (dat, 's', 15, 'n', 7, 'noise', 'k')
-
-%sys2 = arx (dat, 7, 7)       % normally na = nb
-[sys2, x02] = arx (dat, 7);
-
-%[y1, t1] = lsim (sys1, U, [], x0);
-[y1, t1] = lsim (sys1, [U, Y], [], x0);
-
-%[y2, t] = lsim (sys2(:, 1), U);
-[y2, t] = lsim (sys2, U, [], x02);
-
-
-err1 = norm (Y - y1, 1) / norm (Y, 1)
-err2 = norm (Y - y2, 1) / norm (Y, 1)
-
-figure (1)
-plot (t, Y, t, y1, t, y2)
-title ('DaISy: Heating System [99-001]')
-xlim ([t(1), t(end)])
-xlabel ('Time [s]')
-ylabel ('Temperature [Degree Celsius]')
-legend ('measured', 'simulated subspace', 'simulated ARX', 'location', 'southeast')
-
-
-
--- a/extra/control-devel/devel/HeatingSystemRLS.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,102 +0,0 @@
-%{
-1. Contributed by:
-
-        Roy Smith
-        Dept. of Electrical & Computer Engineering
-        University of California,
-	Santa Barbara, CA 93106
-	U.S.A.
-        roy@ece.ucsb.edu
-
-2. Process/Description:
-
-	The experiment is a simple SISO heating system.
-	The input drives a 300 Watt Halogen lamp, suspended
-	several inches above a thin steel plate.  The output
-	is a thermocouple measurement taken from the back of
-	the plate.
-
-3. Sampling interval: 
-
-	2.0 seconds
-
-4. Number of samples
-
-	801
-
-5. Inputs:
-        
-        u: input drive voltage
-        ...
-6. Outputs:
-
-        y: temperature (deg. C)
-        ...
-7. References:
-
-	The use of this experiment and data for robust
-	control model validation is described in:
-
-        "Sampled Data Model Validation: an Algorithm and
-        Experimental Application," Geir Dullerud & Roy Smith,
-        International Journal of Robust and Nonlinear Control,
-        Vol. 6, No. 9/10, pp. 1065-1078, 1996.
-
-8. Known properties/peculiarities
-
-	The data (and nominal model) is the above paper have the
-	output expressed in 10's deg. C.  This has been rescaled 
-	to the original units of deg. C. in the DaISy data set.
-	There is also a -1 volt offset in u in the data shown plotted
-	in the original paper.  This has been removed in the
-	DaISy dataset.
-
-	The data shows evidence of discrepancies.  One of the
-	issues studied in the above paper is the size of these
-	discrepancies - measured in this case in terms of the norm
-	of the smallest perturbation required to account for the
-	difference between the nominal model and the data.
-	
-	The steady state input (prior to the start of the experiment)
-	is u = 6.0 Volts.
-
-%}
-
-clear all, close all, clc
-
-load heating_system.dat
-U=heating_system(:,2);
-Y=heating_system(:,3);
-
-
-dat = iddata (Y, U, 2.0, 'inname', 'input drive voltage', \
-                         'inunit', 'Volt', \
-                         'outname', 'temperature', \
-                         'outunit', '°C')
-
-% s=15, n=7
-[sys1, x0] = moen4 (dat, 's', 15, 'n', 7)
-%sys2 = arx (dat, 7, 7)       % normally na = nb
-[sys2, x02] = arx (dat, 7, 7);
-[sys3, x03] = rarx (dat, 7, 7);
-
-[y1, t1] = lsim (sys1, U, [], x0);
-%[y2, t] = lsim (sys2(:, 1), U);
-[y2, t] = lsim (sys2, U, [], x02);
-[y3, t] = lsim (sys3, U, [], x02);
-
-
-err1 = norm (Y - y1, 1) / norm (Y, 1)
-err2 = norm (Y - y2, 1) / norm (Y, 1)
-err2 = norm (Y - y3, 1) / norm (Y, 1)
-
-figure (1)
-plot (t, Y, t, y1, t, y2, t, y3)
-title ('DaISy: Heating System [99-001]')
-xlim ([t(1), t(end)])
-xlabel ('Time [s]')
-ylabel ('Temperature [Degree Celsius]')
-legend ('measured', 'simulated subspace', 'simulated ARX', 'simulated RLS', 'location', 'southeast')
-
-
-
Binary file extra/control-devel/devel/Ident_results.zip has changed
--- a/extra/control-devel/devel/LakeErie.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,100 +0,0 @@
-%{
-This file describes the data in the erie.dat file.
-1. Contributed by:
-	Peter Van Overschee
-	K.U.Leuven - ESAT - SISTA
-	K. Mercierlaan 94
-	3001 Heverlee
-	Peter.Vanoverschee@esat.kuleuven.ac.be
-2. Process/Description:
-	Data of a simulation (not real !) related to the related to the
-	identification of the western basin of Lake Erie. The series consists 
-	of 4 series: 
-		U_erie, Y_erie: 	without noise (original series)
-		U_erie_n10, Y_erie_n10:	10 percent additive white noise
-		U_erie_n20, Y_erie_n20: 20 percent additive white noise
-		U_erie_n30, Y_erie_n30:	30 percent additive white noise
-3. Sampling time 
-	1 month
-4. Number of samples: 
-	57 samples
-5. Inputs:
-	a. water temperature
-   	b. water conductivity
-   	c. water alkalinity
-   	d. NO3
-   	e. total hardness
-6. Outputs:
-	a. dissolved oxigen
-   	b. algae
-7. References:
-	R.P. Guidorzi, M.P. Losito, T. Muratori, On the last eigenvalue
-   	test in the structural identification of linear multivariable
-   	systems, Proceedings of the V European meeting on cybernetics and
-   	systems research, Vienna, april 1980.
-8. Known properties/peculiarities
-	The considered period runs from march 1968 till november 1972.
-9. Some MATLAB-code to retrieve the data
-	!guzip erie.dat.Z
-	load erie.dat
-	U=erie(:,1:20);
-	Y=erie(:,21:28);
-	U_erie=U(:,1:5);
-	U_erie_n10=U(:,6:10);
-	U_erie_n20=U(:,11:15);	
-	U_erie_n30=U(:,16:20);
-	Y_erie=Y(:,1:2);
-	Y_erie_n10=Y(:,3:4);
-	Y_erie_n20=Y(:,5:6);
-	Y_erie_n30=Y(:,7:8);
-%}
-
-clear all, close all, clc
-
-% DaISy code is wrong,
-% first column is sample number
-load erie.dat
-U=erie(:,2:21);
-Y=erie(:,22:29);
-U_erie=U(:,1:5);
-U_erie_n10=U(:,6:10);
-U_erie_n20=U(:,11:15);	
-U_erie_n30=U(:,16:20);
-Y_erie=Y(:,1:2);
-Y_erie_n10=Y(:,3:4);
-Y_erie_n20=Y(:,5:6);
-Y_erie_n30=Y(:,7:8);
-
-Y = {Y_erie; Y_erie_n10; Y_erie_n20; Y_erie_n30};
-U = {U_erie; U_erie_n10; U_erie_n20; U_erie_n30};
-
-dat = iddata (Y, U, [], 'inname', {'a. water temperature';
-   	                               'b. water conductivity';
-   	                               'c. water alkalinity';
-   	                               'd. NO3';
-   	                               'e. total hardness'}, \
-   	                   'outname', {'a. dissolved oxygen';
-   	                               'b. algae'})
-
-% [sys, x0] = moen4 (dat, 's', 5, 'n', 4)    % s=5, n=4
-[sys, x0] = moen4 (dat, 's', 5, 'n', 4, 'noise', 'k')    % s=5, n=4
-
-
-x0=x0{1};
-
-[y, t] = lsim (sys, [U_erie, Y_erie], [], x0);
-%[y, t] = lsim (sys, U_erie, [], x0);
-%[y, t] = lsim (sys, U_erie);
-
-err = norm (Y_erie - y, 1) / norm (Y_erie, 1)
-
-figure (1)
-p = columns (Y_erie);
-for k = 1 : p
-  subplot (2, 1, k)
-  plot (t, Y_erie(:,k), 'b', t, y(:,k), 'r')
-endfor
-
-legend ('y measured', 'y simulated', 'location', 'southeast')
-
-
--- a/extra/control-devel/devel/LakeErieARX.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,155 +0,0 @@
-%{
-This file describes the data in the erie.dat file.
-1. Contributed by:
-	Peter Van Overschee
-	K.U.Leuven - ESAT - SISTA
-	K. Mercierlaan 94
-	3001 Heverlee
-	Peter.Vanoverschee@esat.kuleuven.ac.be
-2. Process/Description:
-	Data of a simulation (not real !) related to the related to the
-	identification of the western basin of Lake Erie. The series consists 
-	of 4 series: 
-		U_erie, Y_erie: 	without noise (original series)
-		U_erie_n10, Y_erie_n10:	10 percent additive white noise
-		U_erie_n20, Y_erie_n20: 20 percent additive white noise
-		U_erie_n30, Y_erie_n30:	30 percent additive white noise
-3. Sampling time 
-	1 month
-4. Number of samples: 
-	57 samples
-5. Inputs:
-	a. water temperature
-   	b. water conductivity
-   	c. water alkalinity
-   	d. NO3
-   	e. total hardness
-6. Outputs:
-	a. dissolved oxygen
-   	b. algae
-7. References:
-	R.P. Guidorzi, M.P. Losito, T. Muratori, On the last eigenvalue
-   	test in the structural identification of linear multivariable
-   	systems, Proceedings of the V European meeting on cybernetics and
-   	systems research, Vienna, april 1980.
-8. Known properties/peculiarities
-	The considered period runs from march 1968 till november 1972.
-9. Some MATLAB-code to retrieve the data
-	!guzip erie.dat.Z
-	load erie.dat
-	U=erie(:,1:20);
-	Y=erie(:,21:28);
-	U_erie=U(:,1:5);
-	U_erie_n10=U(:,6:10);
-	U_erie_n20=U(:,11:15);	
-	U_erie_n30=U(:,16:20);
-	Y_erie=Y(:,1:2);
-	Y_erie_n10=Y(:,3:4);
-	Y_erie_n20=Y(:,5:6);
-	Y_erie_n30=Y(:,7:8);
-%}
-
-clear all, close all, clc
-
-% DaISy code is wrong,
-% first column is sample number
-load erie.dat
-U=erie(:,2:21);
-Y=erie(:,22:29);
-U_erie=U(:,1:5);
-U_erie_n10=U(:,6:10);
-U_erie_n20=U(:,11:15);	
-U_erie_n30=U(:,16:20);
-Y_erie=Y(:,1:2);
-Y_erie_n10=Y(:,3:4);
-Y_erie_n20=Y(:,5:6);
-Y_erie_n30=Y(:,7:8);
-
-Y = {Y_erie; Y_erie_n10; Y_erie_n20; Y_erie_n30};
-U = {U_erie; U_erie_n10; U_erie_n20; U_erie_n30};
-
-dat = iddata (Y, U, [], 'inname', {'a. water temperature';
-   	                               'b. water conductivity';
-   	                               'c. water alkalinity';
-   	                               'd. NO3';
-   	                               'e. total hardness'}, \
-   	                   'outname', {'a. dissolved oxygen';
-   	                               'b. algae'})
-
-[sys, x0, info] = moen4 (dat, 's', 5, 'n', 4)    % s=5, n=4
-% sys2 = arx (dat, 4, 4)
-[sys2, x02] = arx (dat, 4)
-
-x0=x0{1};
-x02=x02{1};
-
-[y, t] = lsim (sys, U_erie, [], x0);
-% [y2, t2] = lsim (sys2(:, 1:5), U_erie);
-[y2, t2] = lsim (sys2, U_erie, [], x02);
-
-
-err = norm (Y_erie - y, 1) / norm (Y_erie, 1)
-err2 = norm (Y_erie - y2, 1) / norm (Y_erie, 1)
-
-
-figure (1)
-p = columns (Y_erie);
-for k = 1 : p
-  subplot (2, 1, k)
-  plot (t, Y_erie(:,k), t, y(:,k), t, y2(:,k))
-  grid on
-endfor
-
-subplot (2, 1, 1)
-title ('DaISy: Lake Erie [96-005]')
-ylabel ('Dissolved Oxygen [n.s.]')
-xlim ([0, 56])
-
-subplot (2, 1, 2)
-ylabel ('Algae [n.s.]')
-xlabel ('Time [months]')
-xlim ([0, 56])
-
-legend ('measurement DaISy', 'simulation MOEN4', 'simulation ARX', 'location', 'northeast')
-
-
-
-
-
-l = lqe (sys, info.Q, 100*info.Ry, info.S)
-
-
-
-[a, b, c, d] = ssdata (sys);
-
-sys2 = ss ([a-l*c], [b-l*d, l], c, [d, zeros(2)], -1)
-
-[sys, ~, info] = moen4 (dat, 's', 5, 'n', 4, 'noise', 'k')
-
-[y, t] = lsim (sys, [U_erie, Y_erie], [], x0);
-[y2, t2] = lsim (sys2, [U_erie, Y_erie], [], x0);
-
-errkp = norm (Y_erie - y, 1) / norm (Y_erie, 1)
-err2kp = norm (Y_erie - y2, 1) / norm (Y_erie, 1)
-
-figure (2)
-p = columns (Y_erie);
-for k = 1 : p
-  subplot (2, 1, k)
-  plot (t, Y_erie(:,k), t, y(:,k), t, y2(:,k))
-  grid on
-endfor
-
-subplot (2, 1, 1)
-title ('DaISy: Lake Erie [96-005]')
-ylabel ('Dissolved Oxygen [n.s.]')
-xlim ([0, 56])
-
-subplot (2, 1, 2)
-ylabel ('Algae [n.s.]')
-xlabel ('Time [months]')
-xlim ([0, 56])
-
-legend ('Measurement DaISy', 'MOEN4 Kalman Predictor', 'MOEN4 Observer', 'location', 'northeast')
-
-
--- a/extra/control-devel/devel/LakeErieMultiplot.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,159 +0,0 @@
-%{
-This file describes the data in the erie.dat file.
-1. Contributed by:
-	Peter Van Overschee
-	K.U.Leuven - ESAT - SISTA
-	K. Mercierlaan 94
-	3001 Heverlee
-	Peter.Vanoverschee@esat.kuleuven.ac.be
-2. Process/Description:
-	Data of a simulation (not real !) related to the related to the
-	identification of the western basin of Lake Erie. The series consists 
-	of 4 series: 
-		U_erie, Y_erie: 	without noise (original series)
-		U_erie_n10, Y_erie_n10:	10 percent additive white noise
-		U_erie_n20, Y_erie_n20: 20 percent additive white noise
-		U_erie_n30, Y_erie_n30:	30 percent additive white noise
-3. Sampling time 
-	1 month
-4. Number of samples: 
-	57 samples
-5. Inputs:
-	a. water temperature
-   	b. water conductivity
-   	c. water alkalinity
-   	d. NO3
-   	e. total hardness
-6. Outputs:
-	a. dissolved oxygen
-   	b. algae
-7. References:
-	R.P. Guidorzi, M.P. Losito, T. Muratori, On the last eigenvalue
-   	test in the structural identification of linear multivariable
-   	systems, Proceedings of the V European meeting on cybernetics and
-   	systems research, Vienna, april 1980.
-8. Known properties/peculiarities
-	The considered period runs from march 1968 till november 1972.
-9. Some MATLAB-code to retrieve the data
-	!guzip erie.dat.Z
-	load erie.dat
-	U=erie(:,1:20);
-	Y=erie(:,21:28);
-	U_erie=U(:,1:5);
-	U_erie_n10=U(:,6:10);
-	U_erie_n20=U(:,11:15);	
-	U_erie_n30=U(:,16:20);
-	Y_erie=Y(:,1:2);
-	Y_erie_n10=Y(:,3:4);
-	Y_erie_n20=Y(:,5:6);
-	Y_erie_n30=Y(:,7:8);
-%}
-
-clear all, close all, clc
-
-% DaISy code is wrong,
-% first column is sample number
-load erie.dat
-U=erie(:,2:21);
-Y=erie(:,22:29);
-U_erie=U(:,1:5);
-U_erie_n10=U(:,6:10);
-U_erie_n20=U(:,11:15);	
-U_erie_n30=U(:,16:20);
-Y_erie=Y(:,1:2);
-Y_erie_n10=Y(:,3:4);
-Y_erie_n20=Y(:,5:6);
-Y_erie_n30=Y(:,7:8);
-
-Y = {Y_erie; Y_erie_n10; Y_erie_n20; Y_erie_n30};
-U = {U_erie; U_erie_n10; U_erie_n20; U_erie_n30};
-
-dat = iddata (Y, U, [], 'inname', {'a. water temperature';
-   	                               'b. water conductivity';
-   	                               'c. water alkalinity';
-   	                               'd. NO3';
-   	                               'e. total hardness'}, \
-   	                   'outname', {'a. dissolved oxygen';
-   	                               'b. algae'})
-
-[sys, x0, info] = moen4 (dat, 's', 5, 'n', 4)    % s=5, n=4
-% sys2 = arx (dat, 4, 4)
-[sys2, x02] = arx (dat, 4)
-
-x0=x0{1};
-x02=x02{1};
-
-lsim (sys, sys2, U_erie)
-
-%{
-[y, t] = lsim (sys, U_erie, [], x0);
-% [y2, t2] = lsim (sys2(:, 1:5), U_erie);
-[y2, t2] = lsim (sys2, U_erie, [], x02);
-
-
-err = norm (Y_erie - y, 1) / norm (Y_erie, 1)
-err2 = norm (Y_erie - y2, 1) / norm (Y_erie, 1)
-
-
-figure (1)
-p = columns (Y_erie);
-for k = 1 : p
-  subplot (2, 1, k)
-  plot (t, Y_erie(:,k), t, y(:,k), t, y2(:,k))
-  grid on
-endfor
-
-subplot (2, 1, 1)
-title ('DaISy: Lake Erie [96-005]')
-ylabel ('Dissolved Oxygen [n.s.]')
-xlim ([0, 56])
-
-subplot (2, 1, 2)
-ylabel ('Algae [n.s.]')
-xlabel ('Time [months]')
-xlim ([0, 56])
-
-legend ('measurement DaISy', 'simulation MOEN4', 'simulation ARX', 'location', 'northeast')
-
-
-
-
-
-l = lqe (sys, info.Q, 100*info.Ry, info.S)
-
-
-
-[a, b, c, d] = ssdata (sys);
-
-sys2 = ss ([a-l*c], [b-l*d, l], c, [d, zeros(2)], -1)
-
-[sys, ~, info] = moen4 (dat, 's', 5, 'n', 4, 'noise', 'k')
-
-[y, t] = lsim (sys, [U_erie, Y_erie], [], x0);
-[y2, t2] = lsim (sys2, [U_erie, Y_erie], [], x0);
-
-errkp = norm (Y_erie - y, 1) / norm (Y_erie, 1)
-err2kp = norm (Y_erie - y2, 1) / norm (Y_erie, 1)
-
-
-figure (2)
-p = columns (Y_erie);
-for k = 1 : p
-  subplot (2, 1, k)
-  plot (t, Y_erie(:,k), t, y(:,k), t, y2(:,k))
-  grid on
-endfor
-
-subplot (2, 1, 1)
-title ('DaISy: Lake Erie [96-005]')
-ylabel ('Dissolved Oxygen [n.s.]')
-xlim ([0, 56])
-
-subplot (2, 1, 2)
-ylabel ('Algae [n.s.]')
-xlabel ('Time [months]')
-xlim ([0, 56])
-
-legend ('Measurement DaISy', 'MOEN4 Kalman Predictor', 'MOEN4 Kalman Predictor (weak)', 'location', 'northeast')
-%}
-
--- a/extra/control-devel/devel/MLexp/mln4sid.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,90 +0,0 @@
-%{
-This file describes the data in the powerplant.dat file.
-1. Contributed by:
-	Peter Van Overschee
-	K.U.Leuven - ESAT - SISTA
-	K. Mercierlaan 94
-	3001 Heverlee
-	Peter.Vanoverschee@esat.kuleuven.ac.be
-2. Process/Description:
-	data of a power plant (Pont-sur-Sambre (France)) of 120 MW
-3. Sampling time 
-	1228.8 sec
-4. Number of samples: 
-	200 samples
-5. Inputs:
-	1. gas flow
-   	2. turbine valves opening
-   	3. super heater spray flow
-   	4. gas dampers
-   	5. air flow
-6. Outputs:
-	1. steam pressure
-   	2. main stem temperature
-   	3. reheat steam temperature
-7. References:
-	a. R.P. Guidorzi, P. Rossi, Identification of a power plant from normal
-   	operating records. Automatic control theory and applications (Canada,
-   	Vol 2, pp 63-67, sept 1974.
-	b. Moonen M., De Moor B., Vandenberghe L., Vandewalle J., On- and
-	off-line identification of linear state-space models, International
-	Journal of Control, Vol. 49, Jan. 1989, pp.219-232
-8. Known properties/peculiarities
-	
-9. Some MATLAB-code to retrieve the data
-	!gunzip powerplant.dat.Z
-	load powerplant.dat
-	U=powerplant(:,1:5);
-	Y=powerplant(:,6:8);
-	Yr=powerplant(:,9:11);
-
-%}
-
-clear all, close all, clc
-
-load powerplant.dat
-U=powerplant(:,1:5);
-Y=powerplant(:,6:8);
-Yr=powerplant(:,9:11);
-
-inname = {'gas flow',
-          'turbine valves opening',
-          'super heater spray flow',
-          'gas dampers',
-          'air flow'};
-
-outname = {'steam pressure',
-           'main steam temperature',
-           'reheat steam temperature'};
-           
-tsam = 1228.8;
-
-dat = iddata (Y, U, tsam, 'outputname', outname, 'inputname', inname)
-
-
-
-[sys, x0] = n4sid (dat, 8);     % s=10, n=8
-
-
-%sys = ss (a, b, c, d, 1);
-
-x0 = sys.x0
-sys = ss (sys);
-sys = sys(:, 'Measured')
-
-[y, t] = lsim (sys, U, [], x0);
-%[y, t] = lsim (sys, U, 1:size(U,1));
-
-
-err = norm (Y - y, 1) / norm (Y, 1)
-
-figure (1)
-p = size (Y, 2);
-for k = 1 : p
-  subplot (3, 1, k)
-  plot (t, Y(:,k), 'b', t, y(:,k), 'r')
-end
-%title ('DaISy: Power Plant')
-%legend ('y measured', 'y simulated', 'location', 'southeast')
-
-
--- a/extra/control-devel/devel/MLexp/mlpplant.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,72 +0,0 @@
-%{
-This file describes the data in the powerplant.dat file.
-1. Contributed by:
-	Peter Van Overschee
-	K.U.Leuven - ESAT - SISTA
-	K. Mercierlaan 94
-	3001 Heverlee
-	Peter.Vanoverschee@esat.kuleuven.ac.be
-2. Process/Description:
-	data of a power plant (Pont-sur-Sambre (France)) of 120 MW
-3. Sampling time 
-	1228.8 sec
-4. Number of samples: 
-	200 samples
-5. Inputs:
-	1. gas flow
-   	2. turbine valves opening
-   	3. super heater spray flow
-   	4. gas dampers
-   	5. air flow
-6. Outputs:
-	1. steam pressure
-   	2. main stem temperature
-   	3. reheat steam temperature
-7. References:
-	a. R.P. Guidorzi, P. Rossi, Identification of a power plant from normal
-   	operating records. Automatic control theory and applications (Canada,
-   	Vol 2, pp 63-67, sept 1974.
-	b. Moonen M., De Moor B., Vandenberghe L., Vandewalle J., On- and
-	off-line identification of linear state-space models, International
-	Journal of Control, Vol. 49, Jan. 1989, pp.219-232
-8. Known properties/peculiarities
-	
-9. Some MATLAB-code to retrieve the data
-	!gunzip powerplant.dat.Z
-	load powerplant.dat
-	U=powerplant(:,1:5);
-	Y=powerplant(:,6:8);
-	Yr=powerplant(:,9:11);
-
-%}
-
-clear all, close all, clc
-
-load powerplant.dat
-U=powerplant(:,1:5);
-Y=powerplant(:,6:8);
-Yr=powerplant(:,9:11);
-
-%{
-dat = iddata (Y, U)
-
-[sys, x0] = ident (dat, 10, 8)     % s=10, n=8
-%}
-load pplant
-
-sys = ss (a, b, c, d, 1);
-
-[y, t] = lsim (sys, U, 1:size(U,1), x0);
-
-err = norm (Y - y, 1) / norm (Y, 1)
-
-figure (1)
-p = size (Y, 2);
-for k = 1 : p
-  subplot (3, 1, k)
-  plot (t, Y(:,k), 'b', t, y(:,k), 'r')
-end
-%title ('DaISy: Power Plant')
-%legend ('y measured', 'y simulated', 'location', 'southeast')
-
-
--- a/extra/control-devel/devel/MLexp/powerplant.dat	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,200 +0,0 @@
-   1.0000000e+00	  -8.1100000e+02	  -5.9200000e+02	   4.2100000e+02	  -6.8000000e+02	  -6.8100000e+02	   1.1700000e+02	   1.2900000e+02	  -4.7000000e+01	   1.2005000e+02	   1.2904000e+02	  -4.8588000e+01	
-   2.0000000e+00	  -8.1200000e+02	  -6.1900000e+02	   4.7700000e+02	  -6.8500000e+02	  -6.5100000e+02	   1.1300000e+02	   1.4100000e+02	  -4.2000000e+01	   1.0881000e+02	   1.3890000e+02	  -4.2329000e+01	
-   3.0000000e+00	  -8.1700000e+02	  -5.6500000e+02	   5.3800000e+02	  -6.7800000e+02	  -6.7700000e+02	   8.3000000e+01	   1.5000000e+02	  -3.7000000e+01	   8.4903000e+01	   1.5790000e+02	  -2.9271000e+01	
-   4.0000000e+00	  -6.9500000e+02	  -7.2500000e+02	   5.3600000e+02	  -6.7400000e+02	  -7.0200000e+02	   1.4400000e+02	   1.7400000e+02	  -3.0000000e+00	   1.4232000e+02	   1.6939000e+02	  -9.7179000e+00	
-   5.0000000e+00	  -6.9700000e+02	  -5.7100000e+02	   5.3100000e+02	  -6.7600000e+02	  -6.8500000e+02	   1.5600000e+02	   1.9600000e+02	   1.9000000e+01	   1.6235000e+02	   1.9724000e+02	   4.0350000e+01	
-   6.0000000e+00	  -6.9700000e+02	  -6.1800000e+02	   5.3300000e+02	  -6.8100000e+02	  -7.2100000e+02	   1.7400000e+02	   1.9200000e+02	   6.0000000e+00	   2.0722000e+02	   2.1180000e+02	   4.7120000e+01	
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-   1.3900000e+02	   1.7600000e+02	   8.3900000e+02	   1.3180000e+03	  -1.4870000e+03	  -3.6600000e+02	  -7.7000000e+01	  -1.1500000e+02	  -3.7400000e+02	   2.8047000e+01	  -6.5137000e+01	  -3.0496000e+02	
-   1.4000000e+02	   1.7600000e+02	   8.7900000e+02	   1.3240000e+03	  -9.0000000e+01	  -3.9400000e+02	  -1.1600000e+02	  -8.8000000e+01	  -3.3000000e+02	  -2.4797000e+01	  -5.7719000e+01	  -2.9579000e+02	
-   1.4100000e+02	   1.7500000e+02	   7.6300000e+02	   1.3020000e+03	  -9.2000000e+01	  -4.3600000e+02	  -1.0600000e+02	  -5.3000000e+01	  -2.2300000e+02	  -3.8838000e+01	  -4.8734000e+01	  -2.1711000e+02	
-   1.4200000e+02	   1.7500000e+02	   7.3900000e+02	   1.3070000e+03	  -9.2000000e+01	  -4.3000000e+02	  -8.2000000e+01	  -4.0000000e+00	  -9.8000000e+01	  -4.8961000e+01	  -2.6414000e+01	  -1.1805000e+02	
-   1.4300000e+02	   1.7600000e+02	   7.9100000e+02	   1.3360000e+03	  -8.6000000e+01	  -4.4600000e+02	  -9.9000000e+01	   5.0000000e+00	  -4.0000000e+01	  -6.7477000e+01	  -1.6152000e+01	  -4.5201000e+01	
-   1.4400000e+02	   1.7500000e+02	   7.7400000e+02	   1.3010000e+03	  -9.1000000e+01	  -4.0500000e+02	  -8.9000000e+01	   2.2000000e+01	   3.0000000e+00	  -6.5975000e+01	  -1.7671000e+00	   7.8503000e+00	
-   1.4500000e+02	   1.7400000e+02	   7.8200000e+02	   1.3040000e+03	  -9.1000000e+01	  -4.1400000e+02	  -7.9000000e+01	   3.4000000e+01	   2.6000000e+01	  -6.8772000e+01	   7.0271000e+00	   4.3450000e+01	
-   1.4600000e+02	   1.8900000e+02	   7.2200000e+02	   1.3350000e+03	  -9.2000000e+01	  -3.6000000e+02	  -7.4000000e+01	   3.4000000e+01	   4.2000000e+01	  -4.6429000e+01	   1.1105000e+01	   6.8121000e+01	
-   1.4700000e+02	   1.7300000e+02	   8.7100000e+02	   1.3410000e+03	  -9.1000000e+01	  -4.1700000e+02	  -1.0100000e+02	   2.8000000e+01	   6.1000000e+01	  -8.4487000e+01	   8.1047000e+00	   8.5300000e+01	
-   1.4800000e+02	   1.7300000e+02	   8.2500000e+02	   1.3370000e+03	  -8.6000000e+01	  -3.8300000e+02	  -1.0200000e+02	   2.8000000e+01	   7.3000000e+01	  -9.8173000e+01	  -3.6908000e+00	   7.6166000e+01	
-   1.4900000e+02	   1.9300000e+02	   8.3600000e+02	   1.3320000e+03	  -8.6000000e+01	  -4.4900000e+02	  -1.2400000e+02	   2.2000000e+01	   7.4000000e+01	  -1.2005000e+02	  -1.1467000e+01	   7.6462000e+01	
-   1.5000000e+02	   1.7400000e+02	   8.3200000e+02	   1.3250000e+03	  -8.7000000e+01	  -4.3200000e+02	  -1.2500000e+02	   1.9000000e+01	   9.0000000e+01	  -1.3460000e+02	  -9.7526000e+00	   7.9281000e+01	
-   1.5100000e+02	   1.7500000e+02	   8.3400000e+02	   1.3260000e+03	  -8.8000000e+01	  -3.8300000e+02	  -1.3200000e+02	   9.0000000e+00	   1.0000000e+02	  -1.4502000e+02	  -9.1438000e+00	   8.1874000e+01	
-   1.5200000e+02	   1.7600000e+02	   8.9900000e+02	   1.3320000e+03	  -8.6000000e+01	  -3.4100000e+02	  -1.6700000e+02	   8.0000000e+00	   1.0200000e+02	  -1.7275000e+02	  -1.2691000e+01	   8.4682000e+01	
-   1.5300000e+02	   1.9500000e+02	   8.2700000e+02	   1.2960000e+03	  -8.4000000e+01	  -3.7100000e+02	  -1.6100000e+02	   7.0000000e+00	   9.0000000e+01	  -1.6926000e+02	  -1.3264000e+01	   8.5342000e+01	
-   1.5400000e+02	   1.7400000e+02	   8.9700000e+02	   1.3110000e+03	  -8.6000000e+01	  -3.6600000e+02	  -1.8500000e+02	   1.9000000e+01	   1.0500000e+02	  -1.9553000e+02	  -1.3720000e+01	   9.3662000e+01	
-   1.5500000e+02	   1.9500000e+02	   8.4800000e+02	   1.3200000e+03	  -8.6000000e+01	  -4.1600000e+02	  -2.0700000e+02	   2.9000000e+01	   1.1000000e+02	  -1.9946000e+02	  -1.8479000e+01	   8.7466000e+01	
-   1.5600000e+02	   1.9200000e+02	   7.7700000e+02	   1.2860000e+03	  -8.3000000e+01	   1.2600000e+02	  -2.9500000e+02	   2.4000000e+01	   1.5900000e+02	  -1.4262000e+02	  -1.2136000e+01	   1.2313000e+02	
-   1.5700000e+02	   1.7100000e+02	   7.8800000e+02	   1.3090000e+03	  -8.4000000e+01	   1.5300000e+02	  -3.6100000e+02	   1.7000000e+01	   2.9300000e+02	  -1.0476000e+02	  -4.2073000e+01	   1.6220000e+02	
-   1.5800000e+02	   1.7100000e+02	   8.1000000e+02	   1.3070000e+03	  -8.4000000e+01	   1.7300000e+02	  -4.1100000e+02	   1.2000000e+01	   4.3600000e+02	  -1.0741000e+02	  -9.5394000e+01	   1.7308000e+02	
-   1.5900000e+02	   1.7400000e+02	   7.5800000e+02	   1.2970000e+03	  -8.5000000e+01	   1.8200000e+02	  -4.0100000e+02	   4.8000000e+01	   5.4000000e+02	  -1.0825000e+02	  -1.6499000e+02	   1.6789000e+02	
-   1.6000000e+02	   1.8800000e+02	   9.1000000e+02	   1.3290000e+03	  -1.0360000e+03	   2.3600000e+02	  -4.4100000e+02	   8.6000000e+01	   6.0100000e+02	  -1.7774000e+02	  -2.4514000e+02	   1.5380000e+02	
-   1.6100000e+02	   1.8900000e+02	   9.4400000e+02	   1.3440000e+03	  -1.6690000e+03	   2.4500000e+02	  -4.7500000e+02	   1.1800000e+02	   5.5300000e+02	  -2.4260000e+02	  -3.2187000e+02	   7.0373000e+01	
-   1.6200000e+02	   1.9600000e+02	   8.5900000e+02	   1.3300000e+03	  -1.6680000e+03	   2.4900000e+02	  -4.4800000e+02	   1.4600000e+02	   4.7200000e+02	  -2.6573000e+02	  -3.7763000e+02	  -4.3409000e+01	
-   1.6300000e+02	   1.9000000e+02	   7.9700000e+02	   1.3200000e+03	  -1.6690000e+03	   2.3100000e+02	  -4.0100000e+02	   1.7200000e+02	   4.2800000e+02	  -2.7365000e+02	  -4.0826000e+02	  -1.3692000e+02	
-   1.6400000e+02	   1.9100000e+02	   7.8400000e+02	   1.3410000e+03	  -1.6650000e+03	   2.4800000e+02	  -3.6600000e+02	   1.9700000e+02	   4.0000000e+02	  -2.8471000e+02	  -4.2695000e+02	  -2.1685000e+02	
-   1.6500000e+02	   1.8400000e+02	   7.3700000e+02	   1.3350000e+03	  -1.6560000e+03	   2.4000000e+02	  -3.0400000e+02	   2.3100000e+02	   3.9100000e+02	  -2.8533000e+02	  -4.4063000e+02	  -2.8394000e+02	
-   1.6600000e+02	   1.8200000e+02	   7.3300000e+02	   1.3420000e+03	  -1.6550000e+03	   2.4500000e+02	  -2.5200000e+02	   2.5300000e+02	   3.8700000e+02	  -2.9337000e+02	  -4.5478000e+02	  -3.3608000e+02	
-   1.6700000e+02	   1.8200000e+02	   6.9600000e+02	   1.3500000e+03	  -1.6530000e+03	   2.5300000e+02	  -1.8300000e+02	   2.6100000e+02	   3.9900000e+02	  -2.9063000e+02	  -4.6898000e+02	  -3.7665000e+02	
-   1.6800000e+02	   1.8500000e+02	   6.1400000e+02	   1.3410000e+03	  -1.6580000e+03	   2.3600000e+02	  -1.2300000e+02	   2.5500000e+02	   4.0500000e+02	  -2.6515000e+02	  -4.7623000e+02	  -4.0169000e+02	
-   1.6900000e+02	   1.8800000e+02	   7.0800000e+02	   1.3700000e+03	  -1.6540000e+03	   2.3800000e+02	  -1.0700000e+02	   2.4700000e+02	   3.9700000e+02	  -2.7894000e+02	  -4.8478000e+02	  -4.2040000e+02	
-   1.7000000e+02	   1.9100000e+02	   7.2900000e+02	   1.3660000e+03	  -1.6550000e+03	   2.3700000e+02	  -7.6000000e+01	   2.2800000e+02	   3.9200000e+02	  -2.9231000e+02	  -4.9574000e+02	  -4.4865000e+02	
-   1.7100000e+02	   1.8300000e+02	   7.1400000e+02	   1.3800000e+03	  -1.6510000e+03	   2.6200000e+02	  -7.1000000e+01	   2.0500000e+02	   3.8900000e+02	  -3.0028000e+02	  -5.0779000e+02	  -4.6987000e+02	
-   1.7200000e+02	   1.8600000e+02	   6.9500000e+02	   1.3780000e+03	  -1.6510000e+03	   2.5700000e+02	  -6.6000000e+01	   1.9200000e+02	   3.8100000e+02	  -3.0339000e+02	  -5.1827000e+02	  -4.8047000e+02	
-   1.7300000e+02	   1.8900000e+02	   7.5800000e+02	   1.3870000e+03	  -1.6490000e+03	   2.7600000e+02	  -9.2000000e+01	   1.7100000e+02	   3.7100000e+02	  -3.2633000e+02	  -5.2843000e+02	  -4.8664000e+02	
-   1.7400000e+02	   1.6400000e+02	   5.7200000e+02	   1.3640000e+03	  -1.6490000e+03	   2.5700000e+02	  -4.0000000e+01	   1.7800000e+02	   3.5600000e+02	  -2.8437000e+02	  -5.3105000e+02	  -4.9061000e+02	
-   1.7500000e+02	   1.6300000e+02	   5.8700000e+02	   1.3430000e+03	  -1.6500000e+03	   2.4600000e+02	  -1.5000000e+01	   1.8500000e+02	   3.5300000e+02	  -2.6933000e+02	  -5.2618000e+02	  -4.7915000e+02	
-   1.7600000e+02	   1.6100000e+02	   6.8300000e+02	   1.3530000e+03	  -1.6580000e+03	   2.6100000e+02	  -2.7000000e+01	   1.7000000e+02	   3.5900000e+02	  -2.8677000e+02	  -5.2909000e+02	  -4.8587000e+02	
-   1.7700000e+02	   1.6000000e+02	   5.7200000e+02	   1.3590000e+03	  -1.6540000e+03	   2.6100000e+02	   1.5000000e+01	   1.7300000e+02	   3.5100000e+02	  -2.6299000e+02	  -5.3393000e+02	  -5.0195000e+02	
-   1.7800000e+02	   1.6000000e+02	   6.0700000e+02	   1.3550000e+03	  -1.6510000e+03	   2.6700000e+02	   2.3000000e+01	   1.7500000e+02	   3.5600000e+02	  -2.6303000e+02	  -5.3557000e+02	  -5.0135000e+02	
-   1.7900000e+02	   1.5800000e+02	   5.8000000e+02	   1.3490000e+03	  -1.6550000e+03	   2.7300000e+02	   4.4000000e+01	   1.7800000e+02	   3.3800000e+02	  -2.5204000e+02	  -5.3960000e+02	  -5.0662000e+02	
-   1.8000000e+02	   1.6100000e+02	   6.3100000e+02	   1.3620000e+03	  -1.6520000e+03	   2.7200000e+02	   4.7000000e+01	   1.7100000e+02	   3.2300000e+02	  -2.6356000e+02	  -5.4610000e+02	  -5.1190000e+02	
-   1.8100000e+02	   1.6000000e+02	   7.0600000e+02	   1.3820000e+03	  -1.6570000e+03	   2.9800000e+02	   4.0000000e+00	   1.5300000e+02	   2.9400000e+02	  -2.9576000e+02	  -5.5968000e+02	  -5.2427000e+02	
-   1.8200000e+02	   1.6100000e+02	   6.0100000e+02	   1.3560000e+03	  -1.6540000e+03	   2.7700000e+02	   2.3000000e+01	   1.4100000e+02	   2.9500000e+02	  -2.8718000e+02	  -5.6851000e+02	  -5.3400000e+02	
-   1.8300000e+02	   1.5900000e+02	   5.7000000e+02	   1.3540000e+03	  -1.6530000e+03	   2.7400000e+02	   3.9000000e+01	   1.4100000e+02	   3.0600000e+02	  -2.7639000e+02	  -5.6855000e+02	  -5.2629000e+02	
-   1.8400000e+02	   1.5800000e+02	   5.4700000e+02	   1.3470000e+03	  -1.6570000e+03	   2.6100000e+02	   5.2000000e+01	   1.3900000e+02	   3.1300000e+02	  -2.5927000e+02	  -5.6399000e+02	  -5.2010000e+02	
-   1.8500000e+02	   1.5800000e+02	   5.8200000e+02	   1.3320000e+03	  -1.6570000e+03	   2.5700000e+02	   5.3000000e+01	   1.4200000e+02	   3.1300000e+02	  -2.5785000e+02	  -5.5747000e+02	  -5.2015000e+02	
-   1.8600000e+02	   1.5700000e+02	   5.7000000e+02	   1.3400000e+03	  -1.6570000e+03	   2.6700000e+02	   6.9000000e+01	   1.4200000e+02	   3.1200000e+02	  -2.5199000e+02	  -5.5578000e+02	  -5.2904000e+02	
-   1.8700000e+02	   1.5400000e+02	   5.5600000e+02	   1.3430000e+03	  -1.6570000e+03	   2.6800000e+02	   7.4000000e+01	   1.3600000e+02	   3.0600000e+02	  -2.4545000e+02	  -5.5582000e+02	  -5.3401000e+02	
-   1.8800000e+02	   1.5700000e+02	   5.3700000e+02	   1.3450000e+03	  -1.6570000e+03	  -4.2500000e+02	   1.9600000e+02	   1.6400000e+02	   2.7700000e+02	  -2.8011000e+02	  -5.4967000e+02	  -5.7073000e+02	
-   1.8900000e+02	   1.5800000e+02	   5.5500000e+02	   1.3310000e+03	  -1.6530000e+03	  -5.8100000e+02	   3.4700000e+02	   2.0800000e+02	   1.3300000e+02	  -3.1995000e+02	  -4.9697000e+02	  -6.1617000e+02	
-   1.9000000e+02	   1.5800000e+02	   5.5100000e+02	   1.3150000e+03	  -1.6540000e+03	  -6.4300000e+02	   4.6100000e+02	   2.3000000e+02	  -5.8000000e+01	  -3.2126000e+02	  -4.1269000e+02	  -6.4590000e+02	
-   1.9100000e+02	   1.5900000e+02	   5.9000000e+02	   1.3220000e+03	  -1.6560000e+03	  -6.8700000e+02	   5.2600000e+02	   2.0400000e+02	  -2.5100000e+02	  -3.1328000e+02	  -3.0600000e+02	  -6.5649000e+02	
-   1.9200000e+02	   1.6000000e+02	   5.6600000e+02	   1.3150000e+03	  -1.6570000e+03	  -7.3700000e+02	   5.8100000e+02	   1.6100000e+02	  -3.8500000e+02	  -2.7765000e+02	  -1.9647000e+02	  -6.5015000e+02	
-   1.9300000e+02	   1.6000000e+02	   5.5300000e+02	   1.3150000e+03	  -1.6530000e+03	  -7.6700000e+02	   5.8800000e+02	   1.1900000e+02	  -4.5800000e+02	  -2.2465000e+02	  -9.2677000e+01	  -6.1837000e+02	
-   1.9400000e+02	   1.6100000e+02	   6.4400000e+02	   1.3270000e+03	  -1.3960000e+03	  -7.3100000e+02	   5.4900000e+02	   6.3000000e+01	  -5.2800000e+02	  -1.8456000e+02	  -2.2277000e+00	  -5.7001000e+02	
-   1.9500000e+02	   1.5900000e+02	   6.4000000e+02	   1.3350000e+03	  -5.7700000e+02	  -6.3900000e+02	   4.9700000e+02	   5.0000000e+00	  -5.5000000e+02	  -1.1778000e+02	   7.2004000e+01	  -5.0293000e+02	
-   1.9600000e+02	   1.6100000e+02	   7.2600000e+02	   1.3340000e+03	  -5.7700000e+02	  -7.3000000e+02	   4.2000000e+02	  -2.0000000e+01	  -4.9800000e+02	  -9.6611000e+01	   1.2077000e+02	  -3.9313000e+02	
-   1.9700000e+02	   1.7500000e+02	   7.2900000e+02	   1.3100000e+03	  -5.7300000e+02	  -7.1100000e+02	   3.2700000e+02	  -4.9000000e+01	  -4.6400000e+02	  -6.9050000e+01	   1.5983000e+02	  -2.8852000e+02	
-   1.9800000e+02	   1.7500000e+02	   8.5400000e+02	   1.3300000e+03	  -5.7600000e+02	  -6.9000000e+02	   1.9800000e+02	  -7.8000000e+01	  -4.3800000e+02	  -7.2970000e+01	   1.8176000e+02	  -1.9352000e+02	
-   1.9900000e+02	   1.6100000e+02	   7.2900000e+02	   1.3130000e+03	  -5.7300000e+02	  -6.3600000e+02	   1.5400000e+02	  -8.0000000e+01	  -4.0900000e+02	  -1.7599000e+01	   2.0261000e+02	  -1.1462000e+02	
-   2.0000000e+02	   1.7600000e+02	   7.0600000e+02	   1.3140000e+03	  -5.8300000e+02	  -7.4500000e+02	   1.3000000e+02	  -6.0000000e+01	  -3.7700000e+02	   2.7441000e+01	   2.2371000e+02	  -4.0925000e+01	
Binary file extra/control-devel/devel/MLexp/pplant.mat has changed
--- a/extra/control-devel/devel/PowerPlant.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,85 +0,0 @@
-%{
-This file describes the data in the powerplant.dat file.
-1. Contributed by:
-	Peter Van Overschee
-	K.U.Leuven - ESAT - SISTA
-	K. Mercierlaan 94
-	3001 Heverlee
-	Peter.Vanoverschee@esat.kuleuven.ac.be
-2. Process/Description:
-	data of a power plant (Pont-sur-Sambre (France)) of 120 MW
-3. Sampling time 
-	1228.8 sec
-4. Number of samples: 
-	200 samples
-5. Inputs:
-	1. gas flow
-   	2. turbine valves opening
-   	3. super heater spray flow
-   	4. gas dampers
-   	5. air flow
-6. Outputs:
-	1. steam pressure
-   	2. main stem temperature
-   	3. reheat steam temperature
-7. References:
-	a. R.P. Guidorzi, P. Rossi, Identification of a power plant from normal
-   	operating records. Automatic control theory and applications (Canada,
-   	Vol 2, pp 63-67, sept 1974.
-	b. Moonen M., De Moor B., Vandenberghe L., Vandewalle J., On- and
-	off-line identification of linear state-space models, International
-	Journal of Control, Vol. 49, Jan. 1989, pp.219-232
-8. Known properties/peculiarities
-	
-9. Some MATLAB-code to retrieve the data
-	!gunzip powerplant.dat.Z
-	load powerplant.dat
-	U=powerplant(:,1:5);
-	Y=powerplant(:,6:8);
-	Yr=powerplant(:,9:11);
-
-%}
-
-clear all, close all, clc
-
-% NB: the code from DaISy is wrong:
-%     powerplant(:,1) is just the sample number
-%     therefore increase indices by one
-%     it took me weeks to find that silly mistake ...
-load powerplant.dat
-U=powerplant(:,2:6);
-Y=powerplant(:,7:9);
-Yr=powerplant(:,10:12);
-
-inname = {'gas flow',
-          'turbine valves opening',
-          'super heater spray flow',
-          'gas dampers',
-          'air flow'};
-
-outname = {'steam pressure',
-           'main steam temperature',
-           'reheat steam temperature'};
-           
-tsam = 1228.8;
-
-dat = iddata (Y, U, tsam, 'outname', outname, 'inname', inname)
-
-[sys, x0] = moen4 (dat, 's', 10, 'n', 8)     % s=10, n=8
-
-
-[y, t] = lsim (sys, U, [], x0);
-
-err = norm (Y - y, 1) / norm (Y, 1)
-
-figure (1)
-p = columns (Y);
-for k = 1 : p
-  subplot (3, 1, k)
-  plot (t, Y(:,k), 'b', t, y(:,k), 'r')
-endfor
-%title ('DaISy: Power Plant')
-%legend ('y measured', 'y simulated', 'location', 'southeast')
-
-st = isstable (sys)
-
--- a/extra/control-devel/devel/PowerPlantFFT.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,68 +0,0 @@
-%{
-This file describes the data in the powerplant.dat file.
-1. Contributed by:
-	Peter Van Overschee
-	K.U.Leuven - ESAT - SISTA
-	K. Mercierlaan 94
-	3001 Heverlee
-	Peter.Vanoverschee@esat.kuleuven.ac.be
-2. Process/Description:
-	data of a power plant (Pont-sur-Sambre (France)) of 120 MW
-3. Sampling time 
-	1228.8 sec
-4. Number of samples: 
-	200 samples
-5. Inputs:
-	1. gas flow
-   	2. turbine valves opening
-   	3. super heater spray flow
-   	4. gas dampers
-   	5. air flow
-6. Outputs:
-	1. steam pressure
-   	2. main stem temperature
-   	3. reheat steam temperature
-7. References:
-	a. R.P. Guidorzi, P. Rossi, Identification of a power plant from normal
-   	operating records. Automatic control theory and applications (Canada,
-   	Vol 2, pp 63-67, sept 1974.
-	b. Moonen M., De Moor B., Vandenberghe L., Vandewalle J., On- and
-	off-line identification of linear state-space models, International
-	Journal of Control, Vol. 49, Jan. 1989, pp.219-232
-8. Known properties/peculiarities
-	
-9. Some MATLAB-code to retrieve the data
-	!gunzip powerplant.dat.Z
-	load powerplant.dat
-	U=powerplant(:,1:5);
-	Y=powerplant(:,6:8);
-	Yr=powerplant(:,9:11);
-
-%}
-
-clear all, close all, clc
-
-load powerplant.dat
-U=powerplant(:,1:5);
-Y=powerplant(:,6:8);
-Yr=powerplant(:,9:11);
-
-inname = {'gas flow',
-          'turbine valves opening',
-          'super heater spray flow',
-          'gas dampers',
-          'air flow'};
-
-outname = {'steam pressure',
-           'main steam temperature',
-           'reheat steam temperature'};
-           
-tsam = 1228.8;
-
-dat = iddata (Y, U, tsam, 'outputname', outname, 'inputname', inname)
-
-
-a = fft (dat)
-
-b = ifft (a)
-
--- a/extra/control-devel/devel/PowerPlantKP.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,84 +0,0 @@
-%{
-This file describes the data in the powerplant.dat file.
-1. Contributed by:
-	Peter Van Overschee
-	K.U.Leuven - ESAT - SISTA
-	K. Mercierlaan 94
-	3001 Heverlee
-	Peter.Vanoverschee@esat.kuleuven.ac.be
-2. Process/Description:
-	data of a power plant (Pont-sur-Sambre (France)) of 120 MW
-3. Sampling time 
-	1228.8 sec
-4. Number of samples: 
-	200 samples
-5. Inputs:
-	1. gas flow
-   	2. turbine valves opening
-   	3. super heater spray flow
-   	4. gas dampers
-   	5. air flow
-6. Outputs:
-	1. steam pressure
-   	2. main stem temperature
-   	3. reheat steam temperature
-7. References:
-	a. R.P. Guidorzi, P. Rossi, Identification of a power plant from normal
-   	operating records. Automatic control theory and applications (Canada,
-   	Vol 2, pp 63-67, sept 1974.
-	b. Moonen M., De Moor B., Vandenberghe L., Vandewalle J., On- and
-	off-line identification of linear state-space models, International
-	Journal of Control, Vol. 49, Jan. 1989, pp.219-232
-8. Known properties/peculiarities
-	
-9. Some MATLAB-code to retrieve the data
-	!gunzip powerplant.dat.Z
-	load powerplant.dat
-	U=powerplant(:,1:5);
-	Y=powerplant(:,6:8);
-	Yr=powerplant(:,9:11);
-
-%}
-
-clear all, close all, clc
-
-% NB: the code from DaISy is wrong:
-%     powerplant(:,1) is just the sample number
-%     therefore increase indices by one
-%     it took me weeks to find that silly mistake ...
-load powerplant.dat
-U=powerplant(:,2:6);
-Y=powerplant(:,7:9);
-Yr=powerplant(:,10:12);
-
-inname = {'gas flow',
-          'turbine valves opening',
-          'super heater spray flow',
-          'gas dampers',
-          'air flow'};
-
-outname = {'steam pressure',
-           'main steam temperature',
-           'reheat steam temperature'};
-           
-tsam = 1228.8;
-
-dat = iddata (Y, U, tsam, 'outname', outname, 'inname', inname)
-
-[sys, x0] = moen4 (dat, 's', 10, 'n', 8, 'noise', 'k')     % s=10, n=8
-
-[y, t] = lsim (sys, [U, Y], [], x0);
-
-err = norm (Y - y, 1) / norm (Y, 1)
-
-figure (1)
-p = columns (Y);
-for k = 1 : p
-  subplot (3, 1, k)
-  plot (t, Y(:,k), 'b', t, y(:,k), 'r')
-endfor
-%title ('DaISy: Power Plant')
-%legend ('y measured', 'y simulated', 'location', 'southeast')
-
-st = isstable (sys)
-
--- a/extra/control-devel/devel/PowerPlantVS.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,85 +0,0 @@
-%{
-This file describes the data in the powerplant.dat file.
-1. Contributed by:
-	Peter Van Overschee
-	K.U.Leuven - ESAT - SISTA
-	K. Mercierlaan 94
-	3001 Heverlee
-	Peter.Vanoverschee@esat.kuleuven.ac.be
-2. Process/Description:
-	data of a power plant (Pont-sur-Sambre (France)) of 120 MW
-3. Sampling time 
-	1228.8 sec
-4. Number of samples: 
-	200 samples
-5. Inputs:
-	1. gas flow
-   	2. turbine valves opening
-   	3. super heater spray flow
-   	4. gas dampers
-   	5. air flow
-6. Outputs:
-	1. steam pressure
-   	2. main stem temperature
-   	3. reheat steam temperature
-7. References:
-	a. R.P. Guidorzi, P. Rossi, Identification of a power plant from normal
-   	operating records. Automatic control theory and applications (Canada,
-   	Vol 2, pp 63-67, sept 1974.
-	b. Moonen M., De Moor B., Vandenberghe L., Vandewalle J., On- and
-	off-line identification of linear state-space models, International
-	Journal of Control, Vol. 49, Jan. 1989, pp.219-232
-8. Known properties/peculiarities
-	
-9. Some MATLAB-code to retrieve the data
-	!gunzip powerplant.dat.Z
-	load powerplant.dat
-	U=powerplant(:,1:5);
-	Y=powerplant(:,6:8);
-	Yr=powerplant(:,9:11);
-
-%}
-
- close all, clc
-
-% NB: the code from DaISy is wrong:
-%     powerplant(:,1) is just the sample number
-%     therefore increase indices by one
-%     it took me weeks to find that silly mistake ...
-load powerplant.dat
-U=powerplant(:,2:6);
-Y=powerplant(:,7:9);
-Yr=powerplant(:,10:12);
-
-inname = {'gas flow',
-          'turbine valves opening',
-          'super heater spray flow',
-          'gas dampers',
-          'air flow'};
-
-outname = {'steam pressure',
-           'main steam temperature',
-           'reheat steam temperature'};
-           
-tsam = 1228.8;
-
-dat = iddata (Y, U, tsam, 'outname', outname, 'inname', inname)
-
-[sys, x0] = identVS (dat, 10, 8)     % s=10, n=8
-
-
-[y, t] = lsim (sys, U, [], x0);
-
-err = norm (Y - y, 1) / norm (Y, 1)
-
-figure (1)
-p = columns (Y);
-for k = 1 : p
-  subplot (3, 1, k)
-  plot (t, Y(:,k), 'b', t, y(:,k), 'r')
-endfor
-%title ('DaISy: Power Plant')
-%legend ('y measured', 'y simulated', 'location', 'southeast')
-
-st = isstable (sys)
-
--- a/extra/control-devel/devel/PowerPlant_a.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,81 +0,0 @@
-%{
-This file describes the data in the powerplant.dat file.
-1. Contributed by:
-	Peter Van Overschee
-	K.U.Leuven - ESAT - SISTA
-	K. Mercierlaan 94
-	3001 Heverlee
-	Peter.Vanoverschee@esat.kuleuven.ac.be
-2. Process/Description:
-	data of a power plant (Pont-sur-Sambre (France)) of 120 MW
-3. Sampling time 
-	1228.8 sec
-4. Number of samples: 
-	200 samples
-5. Inputs:
-	1. gas flow
-   	2. turbine valves opening
-   	3. super heater spray flow
-   	4. gas dampers
-   	5. air flow
-6. Outputs:
-	1. steam pressure
-   	2. main stem temperature
-   	3. reheat steam temperature
-7. References:
-	a. R.P. Guidorzi, P. Rossi, Identification of a power plant from normal
-   	operating records. Automatic control theory and applications (Canada,
-   	Vol 2, pp 63-67, sept 1974.
-	b. Moonen M., De Moor B., Vandenberghe L., Vandewalle J., On- and
-	off-line identification of linear state-space models, International
-	Journal of Control, Vol. 49, Jan. 1989, pp.219-232
-8. Known properties/peculiarities
-	
-9. Some MATLAB-code to retrieve the data
-	!gunzip powerplant.dat.Z
-	load powerplant.dat
-	U=powerplant(:,1:5);
-	Y=powerplant(:,6:8);
-	Yr=powerplant(:,9:11);
-
-%}
-
- close all, clc
-
-load powerplant.dat
-U=powerplant(:,1:5);
-Y=powerplant(:,6:8);
-Yr=powerplant(:,9:11);
-
-inname = {'gas flow',
-          'turbine valves opening',
-          'super heater spray flow',
-          'gas dampers',
-          'air flow'};
-
-outname = {'steam pressure',
-           'main steam temperature',
-           'reheat steam temperature'};
-           
-tsam = 1228.8;
-
-dat = iddata (Y, U, tsam, 'outname', outname, 'inname', inname)
-
-[sys, x0] = ident_a (dat, 10, 8)     % s=10, n=8
-
-
-[y, t] = lsim (sys, U, [], x0);
-
-err = norm (Y - y, 1) / norm (Y, 1)
-
-figure (1)
-p = columns (Y);
-for k = 1 : p
-  subplot (3, 1, k)
-  plot (t, Y(:,k), 'b', t, y(:,k), 'r')
-endfor
-%title ('DaISy: Power Plant')
-%legend ('y measured', 'y simulated', 'location', 'southeast')
-
-st = isstable (sys)
-
--- a/extra/control-devel/devel/PowerPlant_combinations.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,92 +0,0 @@
-%{
-This file describes the data in the powerplant.dat file.
-1. Contributed by:
-	Peter Van Overschee
-	K.U.Leuven - ESAT - SISTA
-	K. Mercierlaan 94
-	3001 Heverlee
-	Peter.Vanoverschee@esat.kuleuven.ac.be
-2. Process/Description:
-	data of a power plant (Pont-sur-Sambre (France)) of 120 MW
-3. Sampling time 
-	1228.8 sec
-4. Number of samples: 
-	200 samples
-5. Inputs:
-	1. gas flow
-   	2. turbine valves opening
-   	3. super heater spray flow
-   	4. gas dampers
-   	5. air flow
-6. Outputs:
-	1. steam pressure
-   	2. main stem temperature
-   	3. reheat steam temperature
-7. References:
-	a. R.P. Guidorzi, P. Rossi, Identification of a power plant from normal
-   	operating records. Automatic control theory and applications (Canada,
-   	Vol 2, pp 63-67, sept 1974.
-	b. Moonen M., De Moor B., Vandenberghe L., Vandewalle J., On- and
-	off-line identification of linear state-space models, International
-	Journal of Control, Vol. 49, Jan. 1989, pp.219-232
-8. Known properties/peculiarities
-	
-9. Some MATLAB-code to retrieve the data
-	!gunzip powerplant.dat.Z
-	load powerplant.dat
-	U=powerplant(:,1:5);
-	Y=powerplant(:,6:8);
-	Yr=powerplant(:,9:11);
-
-%}
-
-clear all, close all, clc
-
-% NB: the code from DaISy is wrong:
-%     powerplant(:,1) is just the sample number
-%     therefore increase indices by one
-%     it took me weeks to find that silly mistake ...
-load powerplant.dat
-U=powerplant(:,2:6);
-Y=powerplant(:,7:9);
-Yr=powerplant(:,10:12);
-
-inname = {'gas flow',
-          'turbine valves opening',
-          'super heater spray flow',
-          'gas dampers',
-          'air flow'};
-
-outname = {'steam pressure',
-           'main steam temperature',
-           'reheat steam temperature'};
-           
-tsam = 1228.8;
-
-dat = iddata (Y, U, tsam, 'outname', outname, 'inname', inname)
-
-
-err = zeros (3, 3);
-
-for meth = 0:2
-  for alg = 0:2
-    [sys, x0] = ident_combinations (dat, 10, 8, meth, alg);     % s=10, n=8
-    [y, t] = lsim (sys, U, [], x0);
-    err(meth+1, alg+1) = norm (Y - y, 1) / norm (Y, 1);
-  endfor
-endfor
-
-err
-
-%{
-figure (1)
-p = columns (Y);
-for k = 1 : p
-  subplot (3, 1, k)
-  plot (t, Y(:,k), 'b', t, y(:,k), 'r')
-endfor
-%title ('DaISy: Power Plant')
-%legend ('y measured', 'y simulated', 'location', 'southeast')
-
-st = isstable (sys)
-%}
--- a/extra/control-devel/devel/REDUCTION_METHODS	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,57 +0,0 @@
-Reduction Methods
-
-absolute/additive error
-    BTA     balanced truncation
-    SPA     singular perturbation approximation
-    HNA     Hankel-norm approximation
-
-relative/multiplicative error
-    BST     balanced stochastic truncation
-
-
-modred      Model Reduction
-
-AB 09 ID    -       BTA SR
-            -       BTA BFSR
-            -       SPA SR
-            -       SPA BFSR
-            FW      BTA SR
-            FW      BTA BFSR
-            FW      SPA SR
-            FW      SPA BFSR
-
-AB 09 JD    -       HNA
-            FW      HNA
-
-AB 09 HD    BST     BTA SR
-            BST     BTA BFSR
-            BST     SPA SR
-            BST     SPA BFSR
-
-
-conred      Controller Reduction
-
-SB 16 AD    -       BTA SR
-            -       BTA BFSR
-            -       SPA SR
-            -       SPA BFSR
-            FW      BTA SR
-            FW      BTA BFSR
-            FW      SPA SR
-            FW      SPA BFSR
-
-SB 16 BD    CF      BTA SR
-            CF      BTA BFSR
-            CF      SPA SR
-            CF      SPA BFSR
-
-SB 16 CD    FWCF    BTA SR
-            FWCF    BTA BFSR
-
-
-
-FW      frequency-weighted
-CF      coprime factorization
-
-SR      square-root
-BFSR    balancing-free square-root
\ No newline at end of file
--- a/extra/control-devel/devel/armax.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,215 +0,0 @@
-## Copyright (C) 2012   Lukas F. Reichlin
-##
-## This file is part of LTI Syncope.
-##
-## LTI Syncope is free software: you can redistribute it and/or modify
-## it under the terms of the GNU General Public License as published by
-## the Free Software Foundation, either version 3 of the License, or
-## (at your option) any later version.
-##
-## LTI Syncope is distributed in the hope that it will be useful,
-## but WITHOUT ANY WARRANTY; without even the implied warranty of
-## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-## GNU General Public License for more details.
-##
-## You should have received a copy of the GNU General Public License
-## along with LTI Syncope.  If not, see <http://www.gnu.org/licenses/>.
-
-## -*- texinfo -*-
-## @deftypefn {Function File} {@var{sys} =} arx (@var{dat}, @var{na}, @var{nb})
-## ARX
-## @end deftypefn
-
-## Author: Lukas Reichlin <lukas.reichlin@gmail.com>
-## Created: April 2012
-## Version: 0.1
-
-function [sys, varargout] = armax (dat, na, nb, nc)
-
-  ## TODO: delays
-
-  if (nargin != 3)
-    print_usage ();
-  endif
-  
-  if (! isa (dat, "iddata"))
-    error ("arx: first argument must be an iddata dataset");
-  endif
-
-  ## p: outputs,  m: inputs,  ex: experiments
-  [~, p, m, ex] = size (dat);
-
-  ## extract data  
-  Y = dat.y;
-  U = dat.u;
-  tsam = dat.tsam;
-
-  ## multi-experiment data requires equal sampling times  
-  if (ex > 1 && ! isequal (tsam{:}))
-    error ("arx: require equally sampled experiments");
-  else
-    tsam = tsam{1};
-  endif
-
-  
-  if (is_real_scalar (na, nb))
-    na = repmat (na, p, 1);                         # na(p-by-1)
-    nb = repmat (nb, p, m);                         # nb(p-by-m)
-  elseif (! (is_real_vector (na) && is_real_matrix (nb) \
-          && rows (na) == p && rows (nb) == p && columns (nb) == m))
-    error ("arx: require na(%dx1) instead of (%dx%d) and nb(%dx%d) instead of (%dx%d)", \
-            p, rows (na), columns (na), p, m, rows (nb), columns (nb));
-  endif
-
-  max_nb = max (nb, [], 2);                         # one maximum for each row/output, max_nb(p-by-1)
-  n = max (na, max_nb);                             # n(p-by-1)
-
-  ## create empty cells for numerator and denominator polynomials
-  num = cell (p, m+p);
-  den = cell (p, m+p);
-
-  ## MIMO (p-by-m) models are identified as p MISO (1-by-m) models
-  ## For multi-experiment data, minimize the trace of the error
-  for i = 1 : p                                     # for every output
-    Phi = cell (ex, 1);                             # one regression matrix per experiment
-    for e = 1 : ex                                  # for every experiment  
-      ## avoid warning: toeplitz: column wins anti-diagonal conflict
-      ## therefore set first row element equal to y(1)
-      PhiY = toeplitz (Y{e}(1:end-1, i), [Y{e}(1, i); zeros(na(i)-1, 1)]);
-      ## create MISO Phi for every experiment
-      PhiU = arrayfun (@(x) toeplitz (U{e}(1:end-1, x), [U{e}(1, x); zeros(nb(i,x)-1, 1)]), 1:m, "uniformoutput", false);
-      Phi{e} = (horzcat (-PhiY, PhiU{:}))(n(i):end, :);
-    endfor
-
-    ## compute parameter vector Theta
-    Theta = __theta__ (Phi, Y, i, n);
-
-    ## extract polynomial matrices A and B from Theta
-    ## A is a scalar polynomial for output i, i=1:p
-    ## B is polynomial row vector (1-by-m) for output i
-    A = [1; Theta(1:na(i))];                                # a0 = 1, a1 = Theta(1), an = Theta(n)
-    ThetaB = Theta(na(i)+1:end);                            # all polynomials from B are in one column vector
-    B = mat2cell (ThetaB, nb(i,:));                         # now separate the polynomials, one for each input
-    B = reshape (B, 1, []);                                 # make B a row cell (1-by-m)
-    B = cellfun (@(x) [0; x], B, "uniformoutput", false);   # b0 = 0 (leading zero required by filt)
-
-    ## add error inputs
-    Be = repmat ({0}, 1, p);                                # there are as many error inputs as system outputs (p)
-    Be(i) = 1;                                              # inputs m+1:m+p are zero, except m+i which is one
-    num(i, :) = [B, Be];                                    # numerator polynomials for output i, individual for each input
-    den(i, :) = repmat ({A}, 1, m+p);                       # in a row (output i), all inputs have the same denominator polynomial
-  endfor
-
-  ## A(q) y(t) = B(q) u(t) + e(t)
-  ## there is only one A per row
-  ## B(z) and A(z) are a Matrix Fraction Description (MFD)
-  ## y = A^-1(q) B(q) u(t) + A^-1(q) e(t)
-  ## since A(q) is a diagonal polynomial matrix, its inverse is trivial:
-  ## the corresponding transfer function has common row denominators.
-
-  sys = filt (num, den, tsam);                              # filt creates a transfer function in z^-1
-
-  ## compute initial state vector x0 if requested
-  ## this makes only sense for state-space models, therefore convert TF to SS
-  if (nargout > 1)
-    sys = prescale (ss (sys(:,1:m)));
-    x0 = slib01cd (Y, U, sys.a, sys.b, sys.c, sys.d, 0.0);
-    ## return x0 as vector for single-experiment data
-    ## instead of a cell containing one vector
-    if (numel (x0) == 1)
-      x0 = x0{1};
-    endif
-    varargout{1} = x0;
-  endif
-
-endfunction
-
-
-%function theta = __theta__ (phi, y, i, n)
-function Theta = __theta__ (Phi, Y, i, n)
-
-    
-  if (numel (Phi) == 1)                             # single-experiment dataset
-    % recursive pseudolinear regression, naive formula
-    gamma = ?
-    Theta = ?
-    R = ?
-    for t = 1 : rows (Phi{1})
-      phi = Phi{1}(t,:);                            # note that my phi is Ljung's phi.'
-      y = Y{1}(t+n(i), :);
-      epsilon = y - phi*Theta;
-      R += gamma * (phi.'*phi - R)
-      Theta += gamma * R \ phi.' * epsilon;
-    endfor
-%{
-    % recursive least-squares with efficient matrix inversion
-    [pr, pc] = size (Phi{1});
-    lambda = 1; % default 1
-    Theta = zeros (pc, 1);
-    P = 10 * eye (pc);
-    for t = 1 : pr
-      phi = Phi{1}(t,:);                            # note that my phi is Ljung's phi.'
-      y = Y{1}(t+n(i), :);
-      den = lambda + phi*P*phi.';
-      L = P * phi.' / den;
-      P = (P - (P * phi.' * phi * P) / den) / lambda;
-      Theta += L * (y - phi*Theta);
-    endfor
-%}
-%{
-    ## use "square-root algorithm"
-    A = horzcat (phi{1}, y{1}(n(i)+1:end, i));      # [Phi, Y]
-    R0 = triu (qr (A, 0));                          # 0 for economy-size R (without zero rows)
-    R1 = R0(1:end-1, 1:end-1);                      # R1 is triangular - can we exploit this in R1\R2?
-    R2 = R0(1:end-1, end);
-    theta = __ls_svd__ (R1, R2);                    # R1 \ R2
-    
-    ## Theta = Phi \ Y(n+1:end, :);                 # naive formula
-    ## theta = __ls_svd__ (phi{1}, y{1}(n(i)+1:end, i));
-%}
-  else                                              # multi-experiment dataset
-    ## TODO: find more sophisticated formula than
-    ## Theta = (Phi1' Phi + Phi2' Phi2 + ...) \ (Phi1' Y1 + Phi2' Y2 + ...)
-    
-    ## covariance matrix C = (Phi1' Phi + Phi2' Phi2 + ...)
-    tmp = cellfun (@(Phi) Phi.' * Phi, phi, "uniformoutput", false);
-    rc = cellfun (@rcond, tmp); # C auch noch testen? QR oder SVD?
-    C = plus (tmp{:});
-
-    ## PhiTY = (Phi1' Y1 + Phi2' Y2 + ...)
-    tmp = cellfun (@(Phi, Y) Phi.' * Y(n(i)+1:end, i), phi, y, "uniformoutput", false);
-    PhiTY = plus (tmp{:});
-    
-    ## pseudoinverse  Theta = C \ Phi'Y
-    theta = __ls_svd__ (C, PhiTY);
-  endif
-  
-endfunction
-
-
-function x = __ls_svd__ (A, b)
-
-  ## solve the problem Ax=b
-  ## x = A\b  would also work,
-  ## but this way we have better control and warnings
-
-  ## solve linear least squares problem by pseudoinverse
-  ## the pseudoinverse is computed by singular value decomposition
-  ## M = U S V*  --->  M+ = V S+ U*
-  ## Th = Ph \ Y = Ph+ Y
-  ## Th = V S+ U* Y,   S+ = 1 ./ diag (S)
-
-  [U, S, V] = svd (A, 0);                           # 0 for "economy size" decomposition
-  S = diag (S);                                     # extract main diagonal
-  r = sum (S > eps*S(1));
-  if (r < length (S))
-    warning ("arx: rank-deficient coefficient matrix");
-    warning ("sampling time too small");
-    warning ("persistence of excitation");
-  endif
-  V = V(:, 1:r);
-  S = S(1:r);
-  U = U(:, 1:r);
-  x = V * (S .\ (U' * b));                          # U' is the conjugate transpose
-
-endfunction
--- a/extra/control-devel/devel/arx_siso.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,229 +0,0 @@
-## Copyright (C) 2012   Lukas F. Reichlin
-##
-## This file is part of LTI Syncope.
-##
-## LTI Syncope is free software: you can redistribute it and/or modify
-## it under the terms of the GNU General Public License as published by
-## the Free Software Foundation, either version 3 of the License, or
-## (at your option) any later version.
-##
-## LTI Syncope is distributed in the hope that it will be useful,
-## but WITHOUT ANY WARRANTY; without even the implied warranty of
-## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-## GNU General Public License for more details.
-##
-## You should have received a copy of the GNU General Public License
-## along with LTI Syncope.  If not, see <http://www.gnu.org/licenses/>.
-
-## -*- texinfo -*-
-## @deftypefn {Function File} {@var{sys} =} arx (@var{dat}, @var{na}, @var{nb})
-## ARX
-## @end deftypefn
-
-## Author: Lukas Reichlin <lukas.reichlin@gmail.com>
-## Created: April 2012
-## Version: 0.1
-
-function [sys, varargout] = arx (dat, varargin)
-
-  ## TODO: delays
-
-  if (nargin < 2)
-    print_usage ();
-  endif
-  
-  if (! isa (dat, "iddata"))
-    error ("arx: first argument must be an iddata dataset");
-  endif
-
-%  if (nargin > 2)                       # arx (dat, ...)
-    if (is_real_scalar (varargin{1}))   # arx (dat, n, ...)
-      varargin = horzcat (varargin(2:end), {"na"}, varargin(1), {"nb"}, varargin(1));
-    endif
-    if (isstruct (varargin{1}))         # arx (dat, opt, ...), arx (dat, n, opt, ...)
-      varargin = horzcat (__opt2cell__ (varargin{1}), varargin(2:end));
-    endif
-%  endif
-
-  nkv = numel (varargin);               # number of keys and values
-  
-  if (rem (nkv, 2))
-    error ("arx: keys and values must come in pairs");
-  endif
-
-
-  ## p: outputs,  m: inputs,  ex: experiments
-  [~, p, m, ex] = size (dat);           # dataset dimensions
-
-  ## extract data  
-  Y = dat.y;
-  U = dat.u;
-  tsam = dat.tsam;
-
-  ## multi-experiment data requires equal sampling times  
-  if (ex > 1 && ! isequal (tsam{:}))
-    error ("arx: require equally sampled experiments");
-  else
-    tsam = tsam{1};
-  endif
-  
-  
-  ## default arguments
-  na = [];
-  nb = [];      % ???
-  nk = [];
-
-  ## handle keys and values
-  for k = 1 : 2 : nkv
-    key = lower (varargin{k});
-    val = varargin{k+1};
-    switch (key)
-      ## TODO: proper argument checking
-      case "na"
-        na = val;
-      case "nb"
-        nb = val;
-      case "nk"
-        error ("nk");
-      otherwise
-        warning ("arx: invalid property name '%s' ignored", key);
-    endswitch
-  endfor
-
-
-  if (is_real_scalar (na, nb))
-    na = repmat (na, p, 1);                         # na(p-by-1)
-    nb = repmat (nb, p, m);                         # nb(p-by-m)
-  elseif (! (is_real_vector (na) && is_real_matrix (nb) \
-          && rows (na) == p && rows (nb) == p && columns (nb) == m))
-    error ("arx: require na(%dx1) instead of (%dx%d) and nb(%dx%d) instead of (%dx%d)", \
-            p, rows (na), columns (na), p, m, rows (nb), columns (nb));
-  endif
-
-  max_nb = max (nb, [], 2);                         # one maximum for each row/output, max_nb(p-by-1)
-  n = max (na, max_nb);                             # n(p-by-1)
-
-  ## create empty cells for numerator and denominator polynomials
-  % num = cell (p, m+p);
-  % den = cell (p, m+p);
-  num = cell (p, m);
-  den = cell (p, m);
-
-  ## MIMO (p-by-m) models are identified as pm SISO models
-  ## For multi-experiment data, minimize the trace of the error
-  for i = 1 : p                                     # for every output
-    for j = 1 : m                                   # for every input
-      Phi = cell (ex, 1);                           # one regression matrix per experiment
-      for e = 1 : ex                                # for every experiment  
-        ## avoid warning: toeplitz: column wins anti-diagonal conflict
-        ## therefore set first row element equal to y(1)
-        PhiY = toeplitz (Y{e}(1:end-1, i), [Y{e}(1, i); zeros(na(i,j)-1, 1)]);
-        PhiU = toeplitz (U{e}(1:end-1, j), [U{e}(1, j); zeros(nb(i,j)-1, 1)]);
-        Phi{e} = [-PhiY, PhiU](n(i):end, :);
-      endfor
-
-      ## compute parameter vector Theta
-      Theta = __theta__ (Phi, Y, i, n);
-
-      ## extract polynomials A and B from Theta
-      A = [1; Theta(1:na(i,j))];                    # a0 = 1, a1 = Theta(1), an = Theta(n)
-      B = [0; Theta(na(i,j)+1:end)];                 # b0 = 0 (leading zero required by filt)
-      
-      num(i,j) = A;
-      den(i,j) = B;
-      
-      %{
-      ## add error inputs
-      Be = repmat ({0}, 1, p);                                # there are as many error inputs as system outputs (p)
-      Be(i) = 1;                                              # inputs m+1:m+p are zero, except m+i which is one
-      num(i, :) = [B, Be];                                    # numerator polynomials for output i, individual for each input
-      den(i, :) = repmat ({A}, 1, m+p);                       # in a row (output i), all inputs have the same denominator polynomial
-      %}
-    endfor
-  endfor
-
-  %{
-  ## A(q) y(t) = B(q) u(t) + e(t)
-  ## there is only one A per row
-  ## B(z) and A(z) are a Matrix Fraction Description (MFD)
-  ## y = A^-1(q) B(q) u(t) + A^-1(q) e(t)
-  ## since A(q) is a diagonal polynomial matrix, its inverse is trivial:
-  ## the corresponding transfer function has common row denominators.
-  %}
-
-  sys = filt (num, den, tsam);                              # filt creates a transfer function in z^-1
-
-  ## compute initial state vector x0 if requested
-  ## this makes only sense for state-space models, therefore convert TF to SS
-  if (nargout > 1)
-    sys = prescale (ss (sys(:,1:m)));
-    x0 = slib01cd (Y, U, sys.a, sys.b, sys.c, sys.d, 0.0);
-    ## return x0 as vector for single-experiment data
-    ## instead of a cell containing one vector
-    if (numel (x0) == 1)
-      x0 = x0{1};
-    endif
-    varargout{1} = x0;
-  endif
-
-endfunction
-
-
-function theta = __theta__ (phi, y, i, n)
-    
-  if (numel (phi) == 1)                             # single-experiment dataset
-    ## use "square-root algorithm"
-    A = horzcat (phi{1}, y{1}(n(i)+1:end, i));      # [Phi, Y]
-    R0 = triu (qr (A, 0));                          # 0 for economy-size R (without zero rows)
-    R1 = R0(1:end-1, 1:end-1);                      # R1 is triangular - can we exploit this in R1\R2?
-    R2 = R0(1:end-1, end);
-    theta = __ls_svd__ (R1, R2);                    # R1 \ R2
-    
-    ## Theta = Phi \ Y(n+1:end, :);                 # naive formula
-    ## theta = __ls_svd__ (phi{1}, y{1}(n(i)+1:end, i));
-  else                                              # multi-experiment dataset
-    ## TODO: find more sophisticated formula than
-    ## Theta = (Phi1' Phi + Phi2' Phi2 + ...) \ (Phi1' Y1 + Phi2' Y2 + ...)
-    
-    ## covariance matrix C = (Phi1' Phi + Phi2' Phi2 + ...)
-    tmp = cellfun (@(Phi) Phi.' * Phi, phi, "uniformoutput", false);
-    % rc = cellfun (@rcond, tmp); # C auch noch testen? QR oder SVD?
-    C = plus (tmp{:});
-
-    ## PhiTY = (Phi1' Y1 + Phi2' Y2 + ...)
-    tmp = cellfun (@(Phi, Y) Phi.' * Y(n(i)+1:end, i), phi, y, "uniformoutput", false);
-    PhiTY = plus (tmp{:});
-    
-    ## pseudoinverse  Theta = C \ Phi'Y
-    theta = __ls_svd__ (C, PhiTY);
-  endif
-  
-endfunction
-
-
-function x = __ls_svd__ (A, b)
-
-  ## solve the problem Ax=b
-  ## x = A\b  would also work,
-  ## but this way we have better control and warnings
-
-  ## solve linear least squares problem by pseudoinverse
-  ## the pseudoinverse is computed by singular value decomposition
-  ## M = U S V*  --->  M+ = V S+ U*
-  ## Th = Ph \ Y = Ph+ Y
-  ## Th = V S+ U* Y,   S+ = 1 ./ diag (S)
-
-  [U, S, V] = svd (A, 0);                           # 0 for "economy size" decomposition
-  S = diag (S);                                     # extract main diagonal
-  r = sum (S > eps*S(1));
-  if (r < length (S))
-    warning ("arx: rank-deficient coefficient matrix");
-    warning ("sampling time too small");
-    warning ("persistence of excitation");
-  endif
-  V = V(:, 1:r);
-  S = S(1:r);
-  U = U(:, 1:r);
-  x = V * (S .\ (U' * b));                          # U' is the conjugate transpose
-
-endfunction
--- a/extra/control-devel/devel/compare_results_hnamodred.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,33 +0,0 @@
-    Mo = [
-
-      -0.23915   0.30723   1.16297  -1.19671   1.04965
-      -2.97091  -0.23915   2.62702  -3.10273   3.70515
-       0.00000   0.00000  -0.51368   1.28421  -0.82227
-       0.00000   0.00000  -0.15189  -0.51368   0.74348
-       0.44660  -0.01427   0.47803  -0.20129   0.02190
-];
-
-    Me = [
-
-      -0.23910   0.30720   1.16300   1.19670  -1.04970
-      -2.97090  -0.23910   2.62700   3.10270  -3.70520
-       0.00000   0.00000  -0.51370  -1.28420   0.82230
-       0.00000   0.00000   0.15190  -0.51370   0.74350
-      -0.44660   0.01430  -0.47800  -0.20130   0.02190
-];
-
-syso = ss (Mo(1:4, 1:4), Mo(1:4, 5), Mo(5, 1:4), Mo(5, 5))
-
-syse = ss (Me(1:4, 1:4), Me(1:4, 5), Me(5, 1:4), Me(5, 5))
-
-figure (1)
-bode (syso)
-
-figure (2)
-bode (syse)
-
-figure (3)
-step (syso)
-
-figure (4)
-step (syse)
\ No newline at end of file
--- a/extra/control-devel/devel/destill.dat	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,90 +0,0 @@
-   1.0000000e+00	  -1.0400000e-02	  -4.3900000e-03	  -2.7200000e-04	  -1.6500000e+00	   2.4000000e+00	  -1.0659000e-02	  -4.6970000e-03	  -2.7005000e-04	  -1.5935000e+00	   2.4129000e+00	  -1.0918000e-02	  -5.0039000e-03	  -2.6810000e-04	  -1.5369000e+00	   2.4258000e+00	  -1.1177000e-02	  -5.3109000e-03	  -2.6615000e-04	  -1.4804000e+00	   2.4387000e+00	   6.0000000e+00	   2.5000000e+00	   1.2500000e-01	   6.0031000e+00	   2.3955000e+00	   1.1933000e-01	   6.0061000e+00	   2.2910000e+00	   1.1366000e-01	   6.0092000e+00	   2.1865000e+00	   1.0799000e-01	
-   2.0000000e+00	  -1.0400000e-02	  -4.3900000e-03	   1.2800000e-03	  -1.6500000e+00	   2.4000000e+00	  -1.0959000e-02	  -4.0849000e-03	   1.1848000e-03	  -1.7391000e+00	   2.3601000e+00	  -1.1518000e-02	  -3.7798000e-03	   1.0895000e-03	  -1.8282000e+00	   2.3203000e+00	  -1.2077000e-02	  -3.4746000e-03	   9.9428000e-04	  -1.9173000e+00	   2.2804000e+00	   6.0000000e+00	   2.2500000e+00	   1.2500000e-01	   6.2421000e+00	   2.1415000e+00	   9.7958000e-02	   6.4843000e+00	   2.0330000e+00	   7.0915000e-02	   6.7264000e+00	   1.9245000e+00	   4.3873000e-02	
-   3.0000000e+00	  -1.0400000e-02	  -4.3900000e-03	   1.2800000e-03	  -1.6500000e+00	   2.4000000e+00	  -1.0285000e-02	  -4.5840000e-03	   1.3689000e-03	  -1.5108000e+00	   2.4502000e+00	  -1.0169000e-02	  -4.7780000e-03	   1.4579000e-03	  -1.3716000e+00	   2.5003000e+00	  -1.0054000e-02	  -4.9719000e-03	   1.5468000e-03	  -1.2324000e+00	   2.5505000e+00	   5.2700000e+00	   2.5000000e+00	   1.2500000e-01	   5.4182000e+00	   2.4821000e+00	   1.2282000e-01	   5.5664000e+00	   2.4642000e+00	   1.2064000e-01	   5.7147000e+00	   2.4462000e+00	   1.1846000e-01	
-   4.0000000e+00	  -1.1400000e-02	  -5.5600000e-03	   2.6800000e-04	  -1.6500000e+00	   2.4000000e+00	  -1.2438000e-02	  -5.1901000e-03	   2.0450000e-04	  -1.5446000e+00	   2.3874000e+00	  -1.3476000e-02	  -4.8203000e-03	   1.4100000e-04	  -1.4393000e+00	   2.3749000e+00	  -1.4514000e-02	  -4.4504000e-03	   7.7507000e-05	  -1.3339000e+00	   2.3623000e+00	   5.3484000e+00	   2.9520000e+00	   1.6353000e-01	   5.1410000e+00	   3.0277000e+00	   1.4610000e-01	   4.9336000e+00	   3.1035000e+00	   1.2866000e-01	   4.7262000e+00	   3.1792000e+00	   1.1123000e-01	
-   5.0000000e+00	  -1.0000000e-02	  -5.5600000e-03	   2.6800000e-04	  -1.6500000e+00	   2.4000000e+00	  -9.2498000e-03	  -5.3846000e-03	   3.9294000e-04	  -1.5390000e+00	   2.3223000e+00	  -8.4995000e-03	  -5.2093000e-03	   5.1788000e-04	  -1.4281000e+00	   2.2447000e+00	  -7.7493000e-03	  -5.0339000e-03	   6.4282000e-04	  -1.3171000e+00	   2.1670000e+00	   4.7848000e+00	   2.6458000e+00	   1.7332000e-01	   4.5651000e+00	   2.8254000e+00	   1.8735000e-01	   4.3453000e+00	   3.0050000e+00	   2.0138000e-01	   4.1256000e+00	   3.1846000e+00	   2.1541000e-01	
-   6.0000000e+00	  -1.0000000e-02	  -5.5600000e-03	   2.6800000e-04	  -1.6500000e+00	   2.4000000e+00	  -1.0352000e-02	  -5.6249000e-03	  -2.2045000e-04	  -1.5728000e+00	   2.3870000e+00	  -1.0704000e-02	  -5.6897000e-03	  -7.0890000e-04	  -1.4956000e+00	   2.3740000e+00	  -1.1056000e-02	  -5.7546000e-03	  -1.1973000e-03	  -1.4184000e+00	   2.3610000e+00	   4.2827000e+00	   2.5501000e+00	   2.0925000e-01	   3.8357000e+00	   2.3967000e+00	   2.1192000e-01	   3.3886000e+00	   2.2433000e+00	   2.1459000e-01	   2.9415000e+00	   2.0900000e+00	   2.1726000e-01	
-   7.0000000e+00	  -1.0000000e-02	  -5.1200000e-03	   2.6800000e-04	  -1.6500000e+00	   2.4000000e+00	  -9.9391000e-03	  -5.2635000e-03	   3.7720000e-04	  -1.6507000e+00	   2.3962000e+00	  -9.8782000e-03	  -5.4069000e-03	   4.8640000e-04	  -1.6514000e+00	   2.3923000e+00	  -9.8173000e-03	  -5.5504000e-03	   5.9559000e-04	  -1.6522000e+00	   2.3885000e+00	   3.9305000e+00	   2.8592000e+00	   2.1557000e-01	   3.8642000e+00	   2.8830000e+00	   2.1155000e-01	   3.7978000e+00	   2.9069000e+00	   2.0753000e-01	   3.7315000e+00	   2.9308000e+00	   2.0351000e-01	
-   8.0000000e+00	  -1.0000000e-02	  -5.1200000e-03	   2.6800000e-04	  -1.6500000e+00	   2.4000000e+00	  -9.7408000e-03	  -5.0490000e-03	   1.1760000e-04	  -1.5532000e+00	   2.4231000e+00	  -9.4817000e-03	  -4.9780000e-03	  -3.2791000e-05	  -1.4564000e+00	   2.4462000e+00	  -9.2225000e-03	  -4.9070000e-03	  -1.8319000e-04	  -1.3596000e+00	   2.4692000e+00	   3.8649000e+00	   2.8845000e+00	   2.2987000e-01	   3.6075000e+00	   3.1259000e+00	   1.9765000e-01	   3.3501000e+00	   3.3672000e+00	   1.6543000e-01	   3.0927000e+00	   3.6086000e+00	   1.3320000e-01	
-   9.0000000e+00	  -1.0000000e-02	  -5.1200000e-03	   2.6800000e-04	  -1.6500000e+00	   2.4000000e+00	  -9.9021000e-03	  -5.0396000e-03	  -4.1025000e-05	  -1.5957000e+00	   2.3928000e+00	  -9.8042000e-03	  -4.9593000e-03	  -3.5005000e-04	  -1.5414000e+00	   2.3855000e+00	  -9.7063000e-03	  -4.8789000e-03	  -6.5908000e-04	  -1.4871000e+00	   2.3783000e+00	   3.7419000e+00	   2.7948000e+00	   2.2801000e-01	   3.3762000e+00	   2.7514000e+00	   2.2010000e-01	   3.0105000e+00	   2.7081000e+00	   2.1218000e-01	   2.6448000e+00	   2.6648000e+00	   2.0427000e-01	
-   1.0000000e+01	  -1.0000000e-02	  -5.1200000e-03	   2.6800000e-04	  -1.6500000e+00	   2.4000000e+00	  -1.0343000e-02	  -5.4106000e-03	   3.1594000e-04	  -1.3950000e+00	   2.3587000e+00	  -1.0686000e-02	  -5.7011000e-03	   3.6388000e-04	  -1.1400000e+00	   2.3173000e+00	  -1.1029000e-02	  -5.9917000e-03	   4.1183000e-04	  -8.8493000e-01	   2.2760000e+00	   3.6718000e+00	   2.8928000e+00	   2.2714000e-01	   3.7848000e+00	   2.9432000e+00	   2.5143000e-01	   3.8978000e+00	   2.9936000e+00	   2.7571000e-01	   4.0108000e+00	   3.0440000e+00	   3.0000000e-01	
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-   7.5000000e+01	  -5.9000000e-03	  -7.2800000e-03	  -3.1100000e-04	   9.9800000e-01	   2.6000000e+00	  -5.9879000e-03	  -7.0767000e-03	  -2.0861000e-04	   1.0435000e+00	   2.5997000e+00	  -6.0758000e-03	  -6.8734000e-03	  -1.0623000e-04	   1.0890000e+00	   2.5994000e+00	  -6.1637000e-03	  -6.6701000e-03	  -3.8375000e-06	   1.1346000e+00	   2.5991000e+00	   3.1685000e+00	   1.9414000e+00	   8.4558000e-01	   3.3794000e+00	   2.0560000e+00	   8.2401000e-01	   3.5903000e+00	   2.1707000e+00	   8.0243000e-01	   3.8012000e+00	   2.2853000e+00	   7.8085000e-01	
-   7.6000000e+01	  -3.6200000e-03	  -4.9100000e-03	   1.7500000e-03	   5.8300000e-01	   2.4000000e+00	  -3.3712000e-03	  -4.9399000e-03	   1.6630000e-03	   3.4507000e-01	   2.4335000e+00	  -3.1225000e-03	  -4.9698000e-03	   1.5760000e-03	   1.0713000e-01	   2.4670000e+00	  -2.8737000e-03	  -4.9997000e-03	   1.4890000e-03	  -1.3080000e-01	   2.5006000e+00	   2.1992000e+00	   1.3923000e+00	   8.8682000e-01	   2.8375000e+00	   1.3132000e+00	   8.8839000e-01	   3.4757000e+00	   1.2342000e+00	   8.8996000e-01	   4.1140000e+00	   1.1551000e+00	   8.9153000e-01	
-   7.7000000e+01	  -2.4500000e-03	  -3.6900000e-03	   2.8100000e-03	   9.3200000e-01	   2.4000000e+00	  -2.2298000e-03	  -3.6668000e-03	   3.0118000e-03	   1.0114000e+00	   2.4791000e+00	  -2.0097000e-03	  -3.6435000e-03	   3.2135000e-03	   1.0907000e+00	   2.5582000e+00	  -1.7895000e-03	  -3.6203000e-03	   3.4153000e-03	   1.1701000e+00	   2.6372000e+00	   1.5927000e+00	   1.3865000e+00	   8.5904000e-01	   1.8201000e+00	   1.3785000e+00	   8.5027000e-01	   2.0475000e+00	   1.3705000e+00	   8.4150000e-01	   2.2749000e+00	   1.3625000e+00	   8.3273000e-01	
-   7.8000000e+01	   1.1700000e-03	  -2.8500000e-03	   6.0900000e-03	   1.3500000e+00	   1.9000000e+00	   1.2980000e-03	  -3.0027000e-03	   6.0397000e-03	   1.2539000e+00	   1.8695000e+00	   1.4260000e-03	  -3.1554000e-03	   5.9894000e-03	   1.1577000e+00	   1.8389000e+00	   1.5540000e-03	  -3.3080000e-03	   5.9391000e-03	   1.0616000e+00	   1.8084000e+00	   1.6102000e+00	   1.8239000e+00	   7.7194000e-01	   1.4605000e+00	   1.7384000e+00	   7.6810000e-01	   1.3107000e+00	   1.6529000e+00	   7.6427000e-01	   1.1609000e+00	   1.5673000e+00	   7.6043000e-01	
-   7.9000000e+01	   1.1700000e-03	  -2.8500000e-03	   6.0900000e-03	   5.7700000e-01	   1.6000000e+00	   1.1128000e-03	  -2.5990000e-03	   6.1361000e-03	   6.0494000e-01	   1.6645000e+00	   1.0557000e-03	  -2.3479000e-03	   6.1821000e-03	   6.3287000e-01	   1.7291000e+00	   9.9850000e-04	  -2.0969000e-03	   6.2282000e-03	   6.6081000e-01	   1.7936000e+00	  -2.1563000e-01	   7.1756000e-01	   7.5264000e-01	  -1.6805000e-01	   8.5327000e-01	   7.3302000e-01	  -1.2047000e-01	   9.8897000e-01	   7.1340000e-01	  -7.2894000e-02	   1.1247000e+00	   6.9378000e-01	
-   8.0000000e+01	   1.1700000e-03	  -2.8500000e-03	   2.7100000e-03	  -1.3300000e-01	   1.6000000e+00	   8.4652000e-04	  -3.1065000e-03	   2.6880000e-03	  -1.9829000e-01	   1.5270000e+00	   5.2304000e-04	  -3.3630000e-03	   2.6660000e-03	  -2.6359000e-01	   1.4541000e+00	   1.9957000e-04	  -3.6195000e-03	   2.6439000e-03	  -3.2888000e-01	   1.3811000e+00	  -3.5930000e+00	   5.3640000e-01	   8.3802000e-01	  -3.4126000e+00	   4.1260000e-01	   8.1437000e-01	  -3.2322000e+00	   2.8881000e-01	   7.9072000e-01	  -3.0517000e+00	   1.6501000e-01	   7.6707000e-01	
-   8.1000000e+01	   2.4200000e-03	  -1.5800000e-03	   3.0800000e-04	   1.2700000e-01	   1.6000000e+00	   2.8871000e-03	  -1.3440000e-03	   2.1626000e-04	  -1.2508000e-02	   1.6377000e+00	   3.3543000e-03	  -1.1080000e-03	   1.2451000e-04	  -1.5202000e-01	   1.6755000e+00	   3.8214000e-03	  -8.7203000e-04	   3.2768000e-05	  -2.9152000e-01	   1.7132000e+00	  -4.9767000e+00	   7.1496000e-01	   7.7592000e-01	  -4.7242000e+00	   6.1539000e-01	   8.3122000e-01	  -4.4716000e+00	   5.1582000e-01	   8.8651000e-01	  -4.2191000e+00	   4.1624000e-01	   9.4181000e-01	
-   8.2000000e+01	   2.4200000e-03	  -1.5800000e-03	   3.0800000e-04	   4.9500000e-01	   1.6000000e+00	   1.8924000e-03	  -1.6632000e-03	   7.2903000e-04	   6.5804000e-01	   1.5868000e+00	   1.3648000e-03	  -1.7464000e-03	   1.1501000e-03	   8.2109000e-01	   1.5737000e+00	   8.3724000e-04	  -1.8296000e-03	   1.5711000e-03	   9.8413000e-01	   1.5605000e+00	  -5.4154000e+00	   5.9923000e-01	   6.7163000e-01	  -5.5082000e+00	   5.4797000e-01	   6.5288000e-01	  -5.6010000e+00	   4.9671000e-01	   6.3414000e-01	  -5.6937000e+00	   4.4545000e-01	   6.1539000e-01	
-   8.3000000e+01	  -2.2600000e-03	  -5.3400000e-03	  -2.8500000e-03	   1.5300000e+00	   1.4000000e+00	  -2.6583000e-03	  -5.2763000e-03	  -3.1104000e-03	   1.5911000e+00	   1.2490000e+00	  -3.0566000e-03	  -5.2126000e-03	  -3.3709000e-03	   1.6522000e+00	   1.0980000e+00	  -3.4549000e-03	  -5.1489000e-03	  -3.6313000e-03	   1.7133000e+00	   9.4696000e-01	  -6.0386000e+00	   2.3668000e-01	   6.0841000e-01	  -6.3578000e+00	   1.6358000e-01	   6.3206000e-01	  -6.6771000e+00	   9.0472000e-02	   6.5572000e-01	  -6.9963000e+00	   1.7369000e-02	   6.7938000e-01	
-   8.4000000e+01	  -3.4400000e-03	  -6.5500000e-03	  -3.8700000e-03	   2.4600000e+00	   1.2000000e+00	  -3.3183000e-03	  -6.6531000e-03	  -3.6185000e-03	   2.6327000e+00	   1.2213000e+00	  -3.1965000e-03	  -6.7562000e-03	  -3.3670000e-03	   2.8054000e+00	   1.2426000e+00	  -3.0748000e-03	  -6.8593000e-03	  -3.1155000e-03	   2.9780000e+00	   1.2639000e+00	  -5.0162000e+00	   1.2069000e+00	   5.1359000e-01	  -5.4088000e+00	   1.1596000e+00	   5.2883000e-01	  -5.8014000e+00	   1.1122000e+00	   5.4406000e-01	  -6.1940000e+00	   1.0649000e+00	   5.5930000e-01	
-   8.5000000e+01	  -6.4400000e-03	  -8.0000000e-03	  -3.8700000e-03	   2.9800000e+00	   6.0000000e-01	  -6.3219000e-03	  -8.1023000e-03	  -4.1967000e-03	   3.2597000e+00	   5.7421000e-01	  -6.2038000e-03	  -8.2046000e-03	  -4.5233000e-03	   3.5394000e+00	   5.4842000e-01	  -6.0857000e-03	  -8.3070000e-03	  -4.8500000e-03	   3.8191000e+00	   5.2263000e-01	  -5.1248000e+00	   5.6941000e-01	   5.3548000e-01	  -4.6035000e+00	   6.4193000e-01	   5.2181000e-01	  -4.0821000e+00	   7.1445000e-01	   5.0815000e-01	  -3.5607000e+00	   7.8697000e-01	   4.9448000e-01	
-   8.6000000e+01	  -6.4400000e-03	  -8.4900000e-03	  -3.8700000e-03	   3.3500000e+00	   5.0000000e-01	  -5.9762000e-03	  -8.6614000e-03	  -3.8504000e-03	   3.3727000e+00	   5.4141000e-01	  -5.5125000e-03	  -8.8328000e-03	  -3.8308000e-03	   3.3954000e+00	   5.8281000e-01	  -5.0487000e-03	  -9.0041000e-03	  -3.8113000e-03	   3.4181000e+00	   6.2422000e-01	  -5.6309000e+00	  -1.9578000e-01	   5.5404000e-01	  -5.8203000e+00	  -3.3297000e-01	   5.8310000e-01	  -6.0098000e+00	  -4.7016000e-01	   6.1217000e-01	  -6.1992000e+00	  -6.0736000e-01	   6.4123000e-01	
-   8.7000000e+01	   7.9700000e-04	  -9.9700000e-04	   2.5100000e-03	   3.3500000e+00	   5.0000000e-01	   5.3793000e-04	  -1.0019000e-03	   2.4942000e-03	   3.1559000e+00	   5.5466000e-01	   2.7887000e-04	  -1.0069000e-03	   2.4784000e-03	   2.9619000e+00	   6.0932000e-01	   1.9800000e-05	  -1.0118000e-03	   2.4626000e-03	   2.7678000e+00	   6.6399000e-01	  -5.4050000e+00	   1.5689000e-01	   5.6458000e-01	  -5.3850000e+00	   2.8164000e-01	   5.7634000e-01	  -5.3649000e+00	   4.0639000e-01	   5.8810000e-01	  -5.3449000e+00	   5.3114000e-01	   5.9985000e-01	
-   8.8000000e+01	   2.0800000e-03	  -1.8900000e-04	   3.6400000e-03	   3.0700000e+00	   5.0000000e-01	   2.4249000e-03	  -7.9225000e-06	   3.6778000e-03	   3.1270000e+00	   4.2009000e-01	   2.7697000e-03	   1.7315000e-04	   3.7157000e-03	   3.1840000e+00	   3.4018000e-01	   3.1146000e-03	   3.5423000e-04	   3.7535000e-03	   3.2409000e+00	   2.6027000e-01	  -6.1498000e+00	  -7.0055000e-01	   6.1476000e-01	  -6.7491000e+00	  -7.9030000e-01	   6.4429000e-01	  -7.3483000e+00	  -8.8004000e-01	   6.7381000e-01	  -7.9475000e+00	  -9.6979000e-01	   7.0333000e-01	
-   8.9000000e+01	   2.0800000e-03	  -1.8900000e-04	  -1.3200000e-03	   2.2900000e+00	   1.0000000e-01	   2.5137000e-03	  -1.3143000e-04	  -1.6500000e-03	   2.2049000e+00	   5.3730000e-02	   2.9474000e-03	  -7.3852000e-05	  -1.9801000e-03	   2.1197000e+00	   7.4608000e-03	   3.3811000e-03	  -1.6278000e-05	  -2.3101000e-03	   2.0346000e+00	  -3.8809000e-02	  -7.3151000e+00	  -1.1301000e+00	   5.6295000e-01	  -7.3950000e+00	  -1.2112000e+00	   5.7003000e-01	  -7.4750000e+00	  -1.2922000e+00	   5.7712000e-01	  -7.5549000e+00	  -1.3733000e+00	   5.8420000e-01	
-   9.0000000e+01	   2.0800000e-03	  -1.8900000e-04	  -3.8700000e-03	   1.9600000e+00	  -2.0000000e-01	   1.8843000e-03	  -4.7417000e-04	  -3.8578000e-03	   2.0336000e+00	  -1.6252000e-01	   1.6886000e-03	  -7.5935000e-04	  -3.8456000e-03	   2.1072000e+00	  -1.2504000e-01	   1.4929000e-03	  -1.0445000e-03	  -3.8333000e-03	   2.1808000e+00	  -8.7558000e-02	  -9.1207000e+00	  -1.6208000e+00	   5.6609000e-01	  -9.2560000e+00	  -1.7152000e+00	   6.0311000e-01	  -9.3914000e+00	  -1.8096000e+00	   6.4013000e-01	  -9.5267000e+00	  -1.9040000e+00	   6.7716000e-01	
--- a/extra/control-devel/devel/dksyn/AB04MD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,345 +0,0 @@
-      SUBROUTINE AB04MD( TYPE, N, M, P, ALPHA, BETA, A, LDA, B, LDB, C,
-     $                   LDC, D, LDD, IWORK, DWORK, LDWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To perform a transformation on the parameters (A,B,C,D) of a
-C     system, which is equivalent to a bilinear transformation of the
-C     corresponding transfer function matrix.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     TYPE    CHARACTER*1
-C             Indicates the type of the original system and the
-C             transformation to be performed as follows:
-C             = 'D':  discrete-time   -> continuous-time;
-C             = 'C':  continuous-time -> discrete-time.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the state matrix A.  N >= 0.
-C
-C     M       (input) INTEGER
-C             The number of system inputs.  M >= 0.
-C
-C     P       (input) INTEGER
-C             The number of system outputs.  P >= 0.
-C
-C     ALPHA,  (input) DOUBLE PRECISION
-C     BETA    Parameters specifying the bilinear transformation.
-C             Recommended values for stable systems: ALPHA = 1,
-C             BETA = 1.  ALPHA <> 0, BETA <> 0.
-C
-C     A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
-C             On entry, the leading N-by-N part of this array must
-C             contain the state matrix A of the original system.
-C             On exit, the leading N-by-N part of this array contains
-C                              _
-C             the state matrix A of the transformed system.
-C
-C     LDA     INTEGER
-C             The leading dimension of array A.  LDA >= MAX(1,N).
-C
-C     B       (input/output) DOUBLE PRECISION array, dimension (LDB,M)
-C             On entry, the leading N-by-M part of this array must
-C             contain the input matrix B of the original system.
-C             On exit, the leading N-by-M part of this array contains
-C                              _
-C             the input matrix B of the transformed system.
-C
-C     LDB     INTEGER
-C             The leading dimension of array B.  LDB >= MAX(1,N).
-C
-C     C       (input/output) DOUBLE PRECISION array, dimension (LDC,N)
-C             On entry, the leading P-by-N part of this array must
-C             contain the output matrix C of the original system.
-C             On exit, the leading P-by-N part of this array contains
-C                               _
-C             the output matrix C of the transformed system.
-C
-C     LDC     INTEGER
-C             The leading dimension of array C.  LDC >= MAX(1,P).
-C
-C     D       (input/output) DOUBLE PRECISION array, dimension (LDD,M)
-C             On entry, the leading P-by-M part of this array must
-C             contain the input/output matrix D for the original system.
-C             On exit, the leading P-by-M part of this array contains
-C                                     _
-C             the input/output matrix D of the transformed system.
-C
-C     LDD     INTEGER
-C             The leading dimension of array D.  LDD >= MAX(1,P).
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension (N)
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if INFO = 0, DWORK(1) returns the optimal value
-C             of LDWORK.
-C
-C     LDWORK  INTEGER
-C             The length of the array DWORK.  LDWORK >= MAX(1,N).
-C             For optimum performance LDWORK >= MAX(1,N*NB), where NB
-C             is the optimal blocksize.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = 1:  if the matrix (ALPHA*I + A) is exactly singular;
-C             = 2:  if the matrix  (BETA*I - A) is exactly singular.
-C
-C     METHOD
-C
-C     The parameters of the discrete-time system are transformed into
-C     the parameters of the continuous-time system (TYPE = 'D'), or
-C     vice-versa (TYPE = 'C') by the transformation:
-C
-C     1.  Discrete -> continuous
-C         _                     -1
-C         A = beta*(alpha*I + A)  * (A - alpha*I)
-C         _                                     -1
-C         B = sqrt(2*alpha*beta) * (alpha*I + A)  * B
-C         _                                         -1
-C         C = sqrt(2*alpha*beta) * C * (alpha*I + A)
-C         _                        -1
-C         D = D - C * (alpha*I + A)  * B
-C
-C     which is equivalent to the bilinear transformation
-C
-C                       z - alpha
-C         z -> s = beta ---------  .
-C                       z + alpha
-C
-C     of one transfer matrix onto the other.
-C
-C     2.  Continuous -> discrete
-C         _                     -1
-C         A = alpha*(beta*I - A)  * (beta*I + A)
-C         _                                    -1
-C         B = sqrt(2*alpha*beta) * (beta*I - A)  * B
-C         _                                        -1
-C         C = sqrt(2*alpha*beta) * C * (beta*I - A)
-C         _                       -1
-C         D = D + C * (beta*I - A)  * B
-C
-C     which is equivalent to the bilinear transformation
-C
-C                      beta + s
-C       s -> z = alpha -------- .
-C                      beta - s
-C
-C     of one transfer matrix onto the other.
-C
-C     REFERENCES
-C
-C     [1] Al-Saggaf, U.M. and Franklin, G.F.
-C         Model reduction via balanced realizations: a extension and
-C         frequency weighting techniques.
-C         IEEE Trans. Autom. Contr., AC-33, pp. 687-692, 1988.
-C
-C     NUMERICAL ASPECTS
-C                                                      3
-C     The time taken is approximately proportional to N .
-C     The accuracy depends mainly on the condition number of the matrix
-C     to be inverted.
-C
-C     CONTRIBUTORS
-C
-C     Release 3.0: V. Sima, Katholieke Univ. Leuven, Belgium, and
-C                  A. Varga, German Aerospace Research Establishment,
-C                  Oberpfaffenhofen, Germany, Nov. 1996.
-C     Supersedes Release 2.0 routine AB04AD by W. van der Linden, and
-C     A.J. Geurts, Technische Hogeschool Eindhoven, Holland.
-C
-C     REVISIONS
-C
-C     -
-C
-C     KEYWORDS
-C
-C     Bilinear transformation, continuous-time system, discrete-time
-C     system, state-space model.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION  ZERO, ONE, TWO
-      PARAMETER         ( ZERO=0.0D0, ONE=1.0D0, TWO=2.0D0 )
-C     .. Scalar Arguments ..
-      CHARACTER         TYPE
-      INTEGER           INFO, LDA, LDB, LDC, LDD, LDWORK, M, N, P
-      DOUBLE PRECISION  ALPHA, BETA
-C     .. Array Arguments ..
-      INTEGER           IWORK(*)
-      DOUBLE PRECISION  A(LDA,*), B(LDB,*), C(LDC,*), D(LDD,*), DWORK(*)
-C     .. Local Scalars ..
-      LOGICAL           LTYPE
-      INTEGER           I, IP
-      DOUBLE PRECISION  AB2, PALPHA, PBETA, SQRAB2
-C     .. External Functions ..
-      LOGICAL           LSAME
-      EXTERNAL          LSAME
-C     .. External Subroutines ..
-      EXTERNAL          DGEMM, DGETRF, DGETRS, DGETRI, DLASCL, DSCAL,
-     $                  DSWAP, XERBLA
-C     .. Intrinsic Functions ..
-      INTRINSIC         ABS, MAX, SIGN, SQRT
-C     .. Executable Statements ..
-C
-      INFO = 0
-      LTYPE = LSAME( TYPE, 'D' )
-C
-C     Test the input scalar arguments.
-C
-      IF( .NOT.LTYPE .AND. .NOT.LSAME( TYPE, 'C' ) ) THEN
-         INFO = -1
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( P.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( ALPHA.EQ.ZERO ) THEN
-         INFO = -5
-      ELSE IF( BETA.EQ.ZERO ) THEN
-         INFO = -6
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -8
-      ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
-         INFO = -10
-      ELSE IF( LDC.LT.MAX( 1, P ) ) THEN
-         INFO = -12
-      ELSE IF( LDD.LT.MAX( 1, P ) ) THEN
-         INFO = -14
-      ELSE IF( LDWORK.LT.MAX( 1, N ) ) THEN
-         INFO = -17
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'AB04MD', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF ( MAX( N, M, P ).EQ.0 )
-     $   RETURN
-C
-C     (Note: Comments in the code beginning "Workspace:" describe the
-C     minimal amount of real workspace needed at that point in the
-C     code, as well as the preferred amount for good performance.
-C     NB refers to the optimal block size for the immediately
-C     following subroutine, as returned by ILAENV.)
-C
-      IF (LTYPE) THEN
-C
-C        Discrete-time to continuous-time with (ALPHA, BETA).
-C
-         PALPHA = ALPHA
-         PBETA = BETA
-      ELSE
-C
-C        Continuous-time to discrete-time with (ALPHA, BETA) is
-C        equivalent with discrete-time to continuous-time with
-C        (-BETA, -ALPHA), if B and C change the sign.
-C
-         PALPHA = -BETA
-         PBETA = -ALPHA
-      END IF
-C
-      AB2 = PALPHA*PBETA*TWO
-      SQRAB2 = SIGN( SQRT( ABS( AB2 ) ), PALPHA )
-C                          -1
-C     Compute (alpha*I + A)  .
-C
-      DO 10 I = 1, N
-         A(I,I)  =  A(I,I) + PALPHA
-   10 CONTINUE
-C
-      CALL DGETRF( N, N, A, LDA, IWORK, INFO )
-C
-      IF (INFO.NE.0) THEN
-C
-C        Error return.
-C
-         IF (LTYPE) THEN
-            INFO = 1
-         ELSE
-            INFO = 2
-         END IF
-         RETURN
-      END IF
-C                         -1
-C     Compute  (alpha*I+A)  *B.
-C
-      CALL DGETRS( 'No transpose', N, M, A, LDA, IWORK, B, LDB, INFO )
-C                               -1
-C     Compute  D - C*(alpha*I+A)  *B.
-C
-      CALL DGEMM( 'No transpose', 'No transpose', P, M, N, -ONE, C,
-     $            LDC, B, LDB, ONE, D, LDD )
-C
-C     Scale B by  sqrt(2*alpha*beta).
-C
-      CALL DLASCL( 'General', 0, 0, ONE, SQRAB2, N, M, B, LDB, INFO )
-C                                                -1
-C     Compute  sqrt(2*alpha*beta)*C*(alpha*I + A)  .
-C
-      CALL DTRSM( 'Right', 'Upper', 'No transpose', 'Non-unit', P, N,
-     $            SQRAB2, A, LDA, C, LDC )
-C
-      CALL DTRSM( 'Right', 'Lower', 'No transpose', 'Unit', P, N, ONE,
-     $            A, LDA, C, LDC )
-C
-C     Apply column interchanges to the solution matrix.
-C
-      DO 20 I = N-1, 1, -1
-         IP = IWORK(I)
-         IF ( IP.NE.I )
-     $      CALL DSWAP( P, C(1,I), 1, C(1,IP), 1 )
-  20  CONTINUE
-C                               -1
-C     Compute beta*(alpha*I + A)  *(A - alpha*I) as
-C                                        -1
-C     beta*I - 2*alpha*beta*(alpha*I + A)  .
-C
-C     Workspace: need N;  prefer N*NB.
-C
-      CALL DGETRI( N, A, LDA, IWORK, DWORK, LDWORK, INFO )
-C
-      DO 30 I = 1, N
-         CALL DSCAL(N, -AB2, A(1,I), 1)
-         A(I,I) = A(I,I) + PBETA
-   30 CONTINUE
-C
-      RETURN
-C *** Last line of AB04MD ***
-      END
--- a/extra/control-devel/devel/dksyn/AB05MD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,547 +0,0 @@
-      SUBROUTINE AB05MD( UPLO, OVER, N1, M1, P1, N2, P2, A1, LDA1, B1,
-     $                   LDB1, C1, LDC1, D1, LDD1, A2, LDA2, B2, LDB2,
-     $                   C2, LDC2, D2, LDD2, N, A, LDA, B, LDB, C, LDC,
-     $                   D, LDD, DWORK, LDWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To obtain the state-space model (A,B,C,D) for the cascaded
-C     inter-connection of two systems, each given in state-space form.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     UPLO    CHARACTER*1
-C             Indicates whether the user wishes to obtain the matrix A
-C             in the upper or lower block diagonal form, as follows:
-C             = 'U':  Obtain A in the upper block diagonal form;
-C             = 'L':  Obtain A in the lower block diagonal form.
-C
-C     OVER    CHARACTER*1
-C             Indicates whether the user wishes to overlap pairs of
-C             arrays, as follows:
-C             = 'N':  Do not overlap;
-C             = 'O':  Overlap pairs of arrays: A1 and A, B1 and B,
-C                     C1 and C, and D1 and D (for UPLO = 'L'), or A2
-C                     and A, B2 and B, C2 and C, and D2 and D (for
-C                     UPLO = 'U'), i.e. the same name is effectively
-C                     used for each pair (for all pairs) in the routine
-C                     call.  In this case, setting LDA1 = LDA,
-C                     LDB1 = LDB, LDC1 = LDC, and LDD1 = LDD, or
-C                     LDA2 = LDA, LDB2 = LDB, LDC2 = LDC, and LDD2 = LDD
-C                     will give maximum efficiency.
-C
-C     Input/Output Parameters
-C
-C     N1      (input) INTEGER
-C             The number of state variables in the first system, i.e.
-C             the order of the matrix A1.  N1 >= 0.
-C
-C     M1      (input) INTEGER
-C             The number of input variables for the first system.
-C             M1 >= 0.
-C
-C     P1      (input) INTEGER
-C             The number of output variables from the first system and
-C             the number of input variables for the second system.
-C             P1 >= 0.
-C
-C     N2      (input) INTEGER
-C             The number of state variables in the second system, i.e.
-C             the order of the matrix A2.  N2 >= 0.
-C
-C     P2      (input) INTEGER
-C             The number of output variables from the second system.
-C             P2 >= 0.
-C
-C     A1      (input) DOUBLE PRECISION array, dimension (LDA1,N1)
-C             The leading N1-by-N1 part of this array must contain the
-C             state transition matrix A1 for the first system.
-C
-C     LDA1    INTEGER
-C             The leading dimension of array A1.  LDA1 >= MAX(1,N1).
-C
-C     B1      (input) DOUBLE PRECISION array, dimension (LDB1,M1)
-C             The leading N1-by-M1 part of this array must contain the
-C             input/state matrix B1 for the first system.
-C
-C     LDB1    INTEGER
-C             The leading dimension of array B1.  LDB1 >= MAX(1,N1).
-C
-C     C1      (input) DOUBLE PRECISION array, dimension (LDC1,N1)
-C             The leading P1-by-N1 part of this array must contain the
-C             state/output matrix C1 for the first system.
-C
-C     LDC1    INTEGER
-C             The leading dimension of array C1.
-C             LDC1 >= MAX(1,P1) if N1 > 0.
-C             LDC1 >= 1 if N1 = 0.
-C
-C     D1      (input) DOUBLE PRECISION array, dimension (LDD1,M1)
-C             The leading P1-by-M1 part of this array must contain the
-C             input/output matrix D1 for the first system.
-C
-C     LDD1    INTEGER
-C             The leading dimension of array D1.  LDD1 >= MAX(1,P1).
-C
-C     A2      (input) DOUBLE PRECISION array, dimension (LDA2,N2)
-C             The leading N2-by-N2 part of this array must contain the
-C             state transition matrix A2 for the second system.
-C
-C     LDA2    INTEGER
-C             The leading dimension of array A2.  LDA2 >= MAX(1,N2).
-C
-C     B2      (input) DOUBLE PRECISION array, dimension (LDB2,P1)
-C             The leading N2-by-P1 part of this array must contain the
-C             input/state matrix B2 for the second system.
-C
-C     LDB2    INTEGER
-C             The leading dimension of array B2.  LDB2 >= MAX(1,N2).
-C
-C     C2      (input) DOUBLE PRECISION array, dimension (LDC2,N2)
-C             The leading P2-by-N2 part of this array must contain the
-C             state/output matrix C2 for the second system.
-C
-C     LDC2    INTEGER
-C             The leading dimension of array C2.
-C             LDC2 >= MAX(1,P2) if N2 > 0.
-C             LDC2 >= 1 if N2 = 0.
-C
-C     D2      (input) DOUBLE PRECISION array, dimension (LDD2,P1)
-C             The leading P2-by-P1 part of this array must contain the
-C             input/output matrix D2 for the second system.
-C
-C     LDD2    INTEGER
-C             The leading dimension of array D2.  LDD2 >= MAX(1,P2).
-C
-C     N       (output) INTEGER
-C             The number of state variables (N1 + N2) in the resulting
-C             system, i.e. the order of the matrix A, the number of rows
-C             of B and the number of columns of C.
-C
-C     A       (output) DOUBLE PRECISION array, dimension (LDA,N1+N2)
-C             The leading N-by-N part of this array contains the state
-C             transition matrix A for the cascaded system.
-C             If OVER = 'O', the array A can overlap A1, if UPLO = 'L',
-C             or A2, if UPLO = 'U'.
-C
-C     LDA     INTEGER
-C             The leading dimension of array A.  LDA >= MAX(1,N1+N2).
-C
-C     B       (output) DOUBLE PRECISION array, dimension (LDB,M1)
-C             The leading N-by-M1 part of this array contains the
-C             input/state matrix B for the cascaded system.
-C             If OVER = 'O', the array B can overlap B1, if UPLO = 'L',
-C             or B2, if UPLO = 'U'.
-C
-C     LDB     INTEGER
-C             The leading dimension of array B.  LDB >= MAX(1,N1+N2).
-C
-C     C       (output) DOUBLE PRECISION array, dimension (LDC,N1+N2)
-C             The leading P2-by-N part of this array contains the
-C             state/output matrix C for the cascaded system.
-C             If OVER = 'O', the array C can overlap C1, if UPLO = 'L',
-C             or C2, if UPLO = 'U'.
-C
-C     LDC     INTEGER
-C             The leading dimension of array C.
-C             LDC >= MAX(1,P2) if N1+N2 > 0.
-C             LDC >= 1 if N1+N2 = 0.
-C
-C     D       (output) DOUBLE PRECISION array, dimension (LDD,M1)
-C             The leading P2-by-M1 part of this array contains the
-C             input/output matrix D for the cascaded system.
-C             If OVER = 'O', the array D can overlap D1, if UPLO = 'L',
-C             or D2, if UPLO = 'U'.
-C
-C     LDD     INTEGER
-C             The leading dimension of array D.  LDD >= MAX(1,P2).
-C
-C     Workspace
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             The array DWORK is not referenced if OVER = 'N'.
-C
-C     LDWORK  INTEGER
-C             The length of the array DWORK.
-C             LDWORK >= MAX( 1, P1*MAX(N1, M1, N2, P2) ) if OVER = 'O'.
-C             LDWORK >= 1 if OVER = 'N'.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value.
-C
-C     METHOD
-C
-C     After cascaded inter-connection of the two systems
-C
-C     X1'     = A1*X1 + B1*U
-C     V       = C1*X1 + D1*U
-C
-C     X2'     = A2*X2 + B2*V
-C     Y       = C2*X2 + D2*V
-C
-C     (where  '  denotes differentiation with respect to time)
-C
-C     the following state-space model will be obtained:
-C
-C     X'      = A*X + B*U
-C     Y       = C*X + D*U
-C
-C     where matrix  A  has the form   ( A1     0 ),
-C                                     ( B2*C1  A2)
-C
-C           matrix  B  has the form  (  B1   ),
-C                                    ( B2*D1 )
-C
-C           matrix  C  has the form  ( D2*C1  C2 ) and
-C
-C           matrix  D  has the form  ( D2*D1 ).
-C
-C     This form is returned by the routine when UPLO = 'L'.  Note that
-C     when A1 and A2 are block lower triangular, the resulting state
-C     matrix is also block lower triangular.
-C
-C     By applying a similarity transformation to the system above,
-C     using the matrix  ( 0  I ),  where  I  is the identity matrix of
-C                       ( J  0 )
-C     order  N2,  and  J  is the identity matrix of order  N1,  the
-C     system matrices become
-C
-C           A = ( A2  B2*C1 ),
-C               ( 0     A1  )
-C
-C           B = ( B2*D1 ),
-C               (  B1   )
-C
-C           C = ( C2  D2*C1 ) and
-C
-C           D = ( D2*D1 ).
-C
-C     This form is returned by the routine when UPLO = 'U'.  Note that
-C     when A1 and A2 are block upper triangular (for instance, in the
-C     real Schur form), the resulting state matrix is also block upper
-C     triangular.
-C
-C     REFERENCES
-C
-C     None
-C
-C     NUMERICAL ASPECTS
-C
-C     The algorithm requires P1*(N1+M1)*(N2+P2) operations.
-C
-C     CONTRIBUTORS
-C
-C     Release 3.0: V. Sima, Katholieke Univ. Leuven, Belgium, and
-C                  A. Varga, German Aerospace Research Establishment,
-C                  Oberpfaffenhofen, Germany, Nov. 1996.
-C     Supersedes Release 2.0 routine AB05AD by C.J.Benson, Kingston
-C     Polytechnic, United Kingdom, January 1982.
-C
-C     REVISIONS
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, July 2003,
-C     Feb. 2004.
-C
-C     KEYWORDS
-C
-C     Cascade control, continuous-time system, multivariable
-C     system, state-space model, state-space representation.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION  ZERO, ONE
-      PARAMETER         ( ZERO = 0.0D0, ONE = 1.0D0 )
-C     .. Scalar Arguments ..
-      CHARACTER         OVER, UPLO
-      INTEGER           INFO, LDA, LDA1, LDA2, LDB, LDB1, LDB2, LDC,
-     $                  LDC1, LDC2, LDD, LDD1, LDD2, LDWORK, M1, N, N1,
-     $                  N2, P1, P2
-C     .. Array Arguments ..
-      DOUBLE PRECISION  A(LDA,*), A1(LDA1,*), A2(LDA2,*), B(LDB,*),
-     $                  B1(LDB1,*), B2(LDB2,*), C(LDC,*), C1(LDC1,*),
-     $                  C2(LDC2,*), D(LDD,*), D1(LDD1,*), D2(LDD2,*),
-     $                  DWORK(*)
-C     .. Local Scalars ..
-      LOGICAL           LOVER, LUPLO
-      INTEGER           I, I1, I2, J, LDWN2, LDWP1, LDWP2
-C     .. External Functions ..
-      LOGICAL            LSAME
-      EXTERNAL           LSAME
-C     .. External Subroutines ..
-      EXTERNAL          DGEMM, DLACPY, DLASET, XERBLA
-C     .. Intrinsic Functions ..
-      INTRINSIC         MAX, MIN
-C     .. Executable Statements ..
-C
-      LOVER = LSAME( OVER, 'O' )
-      LUPLO = LSAME( UPLO, 'L' )
-      N = N1 + N2
-      INFO = 0
-C
-C     Test the input scalar arguments.
-C
-      IF( .NOT.LUPLO .AND. .NOT.LSAME( UPLO, 'U' ) ) THEN
-         INFO = -1
-      ELSE IF( .NOT.LOVER .AND. .NOT.LSAME( OVER, 'N' ) ) THEN
-         INFO = -2
-      ELSE IF( N1.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( M1.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( P1.LT.0 ) THEN
-         INFO = -5
-      ELSE IF( N2.LT.0 ) THEN
-         INFO = -6
-      ELSE IF( P2.LT.0 ) THEN
-         INFO = -7
-      ELSE IF( LDA1.LT.MAX( 1, N1 ) ) THEN
-         INFO = -9
-      ELSE IF( LDB1.LT.MAX( 1, N1 ) ) THEN
-         INFO = -11
-      ELSE IF( ( N1.GT.0 .AND. LDC1.LT.MAX( 1, P1 ) ) .OR.
-     $         ( N1.EQ.0 .AND. LDC1.LT.1 ) ) THEN
-         INFO = -13
-      ELSE IF( LDD1.LT.MAX( 1, P1 ) ) THEN
-         INFO = -15
-      ELSE IF( LDA2.LT.MAX( 1, N2 ) ) THEN
-         INFO = -17
-      ELSE IF( LDB2.LT.MAX( 1, N2 ) ) THEN
-         INFO = -19
-      ELSE IF( ( N2.GT.0 .AND. LDC2.LT.MAX( 1, P2 ) ) .OR.
-     $         ( N2.EQ.0 .AND. LDC2.LT.1 ) ) THEN
-         INFO = -21
-      ELSE IF( LDD2.LT.MAX( 1, P2 ) ) THEN
-         INFO = -23
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -26
-      ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
-         INFO = -28
-      ELSE IF( ( N.GT.0 .AND. LDC.LT.MAX( 1, P2 ) ) .OR.
-     $         ( N.EQ.0 .AND. LDC.LT.1 ) ) THEN
-         INFO = -30
-      ELSE IF( LDD.LT.MAX( 1, P2 ) ) THEN
-         INFO = -32
-      ELSE IF( ( LOVER.AND.LDWORK.LT.MAX( 1, P1*MAX( N1, M1, N2, P2 )) )
-     $.OR.( .NOT.LOVER.AND.LDWORK.LT.1 ) ) THEN
-         INFO = -34
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'AB05MD', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF ( MAX( N, MIN( M1, P2 ) ).EQ.0 )
-     $   RETURN
-C
-C     Set row/column indices for storing the results.
-C
-      IF ( LUPLO ) THEN
-         I1 = 1
-         I2 = MIN( N1 + 1, N )
-      ELSE
-         I1 = MIN( N2 + 1, N )
-         I2 = 1
-      END IF
-C
-      LDWN2 = MAX( 1, N2 )
-      LDWP1 = MAX( 1, P1 )
-      LDWP2 = MAX( 1, P2 )
-C
-C     Construct the cascaded system matrices, taking the desired block
-C     structure and possible overwriting into account.
-C
-C     Form the diagonal blocks of matrix  A.
-C
-      IF ( LUPLO ) THEN
-C
-C        Lower block diagonal structure.
-C
-         IF ( LOVER .AND. LDA1.LE.LDA ) THEN
-            IF ( LDA1.LT.LDA ) THEN
-C
-               DO 20 J = N1, 1, -1
-                  DO 10 I = N1, 1, -1
-                     A(I,J) = A1(I,J)
-   10             CONTINUE
-   20          CONTINUE
-C
-            END IF
-         ELSE
-            CALL DLACPY( 'F', N1, N1, A1, LDA1, A, LDA )
-         END IF
-         IF ( N2.GT.0 )
-     $      CALL DLACPY( 'F', N2, N2, A2, LDA2, A(I2,I2), LDA )
-      ELSE
-C
-C        Upper block diagonal structure.
-C
-         IF ( LOVER .AND. LDA2.LE.LDA ) THEN
-            IF ( LDA2.LT.LDA ) THEN
-C
-               DO 40 J = N2, 1, -1
-                  DO 30 I = N2, 1, -1
-                     A(I,J) = A2(I,J)
-   30             CONTINUE
-   40          CONTINUE
-C
-            END IF
-         ELSE
-            CALL DLACPY( 'F', N2, N2, A2, LDA2, A, LDA )
-         END IF
-         IF ( N1.GT.0 )
-     $      CALL DLACPY( 'F', N1, N1, A1, LDA1, A(I1,I1), LDA )
-      END IF
-C
-C     Form the off-diagonal blocks of matrix  A.
-C
-      IF ( MIN( N1, N2 ).GT.0 ) THEN
-         CALL DLASET( 'F', N1, N2, ZERO, ZERO, A(I1,I2), LDA )
-         CALL DGEMM ( 'No transpose', 'No transpose', N2, N1, P1, ONE,
-     $                B2, LDB2, C1, LDC1, ZERO, A(I2,I1), LDA )
-      END IF
-C
-      IF ( LUPLO ) THEN
-C
-C        Form the matrix  B.
-C
-         IF ( LOVER .AND. LDB1.LE.LDB ) THEN
-            IF ( LDB1.LT.LDB ) THEN
-C
-               DO 60 J = M1, 1, -1
-                  DO 50 I = N1, 1, -1
-                     B(I,J) = B1(I,J)
-   50             CONTINUE
-   60          CONTINUE
-C
-            END IF
-         ELSE
-            CALL DLACPY( 'F', N1, M1, B1, LDB1, B, LDB )
-         END IF
-C
-         IF ( MIN( N2, M1 ).GT.0 )
-     $      CALL DGEMM ( 'No transpose', 'No transpose', N2, M1, P1,
-     $                   ONE, B2, LDB2, D1, LDD1, ZERO, B(I2,1), LDB )
-C
-C        Form the matrix  C.
-C
-         IF ( N1.GT.0 ) THEN
-            IF ( LOVER ) THEN
-C
-C              Workspace:  P1*N1.
-C
-               CALL DLACPY( 'F', P1, N1, C1, LDC1, DWORK, LDWP1 )
-               CALL DGEMM ( 'No transpose', 'No transpose', P2, N1, P1,
-     $                      ONE, D2, LDD2, DWORK, LDWP1, ZERO, C, LDC )
-            ELSE
-               CALL DGEMM ( 'No transpose', 'No transpose', P2, N1, P1,
-     $                      ONE, D2, LDD2, C1, LDC1, ZERO, C, LDC )
-            END IF
-         END IF
-C
-         IF ( MIN( P2, N2 ).GT.0 )
-     $      CALL DLACPY( 'F', P2, N2, C2, LDC2, C(1,I2), LDC )
-C
-C        Now form the matrix  D.
-C
-         IF ( LOVER ) THEN
-C
-C           Workspace:  P1*M1.
-C
-            CALL DLACPY( 'F', P1, M1, D1, LDD1, DWORK, LDWP1 )
-            CALL DGEMM ( 'No transpose', 'No transpose', P2, M1, P1,
-     $                   ONE, D2, LDD2, DWORK, LDWP1, ZERO, D, LDD )
-         ELSE
-            CALL DGEMM ( 'No transpose', 'No transpose', P2, M1, P1,
-     $                    ONE, D2, LDD2, D1, LDD1, ZERO, D, LDD )
-         END IF
-C
-      ELSE
-C
-C        Form the matrix  B.
-C
-         IF ( LOVER ) THEN
-C
-C           Workspace:  N2*P1.
-C
-            CALL DLACPY( 'F', N2, P1, B2, LDB2, DWORK, LDWN2 )
-            IF ( MIN( N2, M1 ).GT.0 )
-     $         CALL DGEMM ( 'No transpose', 'No transpose', N2, M1, P1,
-     $                      ONE, DWORK, LDWN2, D1, LDD1, ZERO, B(I2,1),
-     $                      LDB )
-         ELSE
-            CALL DGEMM ( 'No transpose', 'No transpose', N2, M1, P1,
-     $                   ONE, B2, LDB2, D1, LDD1, ZERO, B, LDB )
-         END IF
-C
-         IF ( MIN( N1, M1 ).GT.0 )
-     $      CALL DLACPY( 'F', N1, M1, B1, LDB1, B(I1,1), LDB )
-C
-C        Form the matrix  C.
-C
-         IF ( LOVER .AND. LDC2.LE.LDC ) THEN
-            IF ( LDC2.LT.LDC ) THEN
-C
-               DO 80 J = N2, 1, -1
-                  DO 70 I = P2, 1, -1
-                     C(I,J) = C2(I,J)
-   70             CONTINUE
-   80          CONTINUE
-C
-            END IF
-         ELSE
-            CALL DLACPY( 'F', P2, N2, C2, LDC2, C, LDC )
-         END IF
-C
-         IF ( MIN( P2, N1 ).GT.0 )
-     $      CALL DGEMM ( 'No transpose', 'No transpose', P2, N1, P1,
-     $                   ONE, D2, LDD2, C1, LDC1, ZERO, C(1,I1), LDC )
-C
-C        Now form the matrix  D.
-C
-         IF ( LOVER ) THEN
-C
-C           Workspace:  P2*P1.
-C
-            CALL DLACPY( 'F', P2, P1, D2, LDD2, DWORK, LDWP2 )
-            CALL DGEMM ( 'No transpose', 'No transpose', P2, M1, P1,
-     $                   ONE, DWORK, LDWP2, D1, LDD1, ZERO, D, LDD )
-         ELSE
-            CALL DGEMM ( 'No transpose', 'No transpose', P2, M1, P1,
-     $                    ONE, D2, LDD2, D1, LDD1, ZERO, D, LDD )
-         END IF
-      END IF
-C
-      RETURN
-C *** Last line of AB05MD ***
-      END
--- a/extra/control-devel/devel/dksyn/AB07MD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,224 +0,0 @@
-      SUBROUTINE AB07MD( JOBD, N, M, P, A, LDA, B, LDB, C, LDC, D, LDD,
-     $                   INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To find the dual of a given state-space representation.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     JOBD    CHARACTER*1
-C             Specifies whether or not a non-zero matrix D appears in
-C             the given state space model:
-C             = 'D':  D is present;
-C             = 'Z':  D is assumed a zero matrix.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the state-space representation.  N >= 0.
-C
-C     M       (input) INTEGER
-C             The number of system inputs.  M >= 0.
-C
-C     P       (input) INTEGER
-C             The number of system outputs.  P >= 0.
-C
-C     A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
-C             On entry, the leading N-by-N part of this array must
-C             contain the original state dynamics matrix A.
-C             On exit, the leading N-by-N part of this array contains
-C             the dual state dynamics matrix A'.
-C
-C     LDA     INTEGER
-C             The leading dimension of array A.  LDA >= MAX(1,N).
-C
-C     B       (input/output) DOUBLE PRECISION array, dimension
-C             (LDB,MAX(M,P))
-C             On entry, the leading N-by-M part of this array must
-C             contain the original input/state matrix B.
-C             On exit, the leading N-by-P part of this array contains
-C             the dual input/state matrix C'.
-C
-C     LDB     INTEGER
-C             The leading dimension of array B.  LDB >= MAX(1,N).
-C
-C     C       (input/output) DOUBLE PRECISION array, dimension (LDC,N)
-C             On entry, the leading P-by-N part of this array must
-C             contain the original state/output matrix C.
-C             On exit, the leading M-by-N part of this array contains
-C             the dual state/output matrix B'.
-C
-C     LDC     INTEGER
-C             The leading dimension of array C.
-C             LDC >= MAX(1,M,P) if N > 0.
-C             LDC >= 1 if N = 0.
-C
-C     D       (input/output) DOUBLE PRECISION array, dimension
-C             (LDD,MAX(M,P))
-C             On entry, if JOBD = 'D', the leading P-by-M part of this
-C             array must contain the original direct transmission
-C             matrix D.
-C             On exit, if JOBD = 'D', the leading M-by-P part of this
-C             array contains the dual direct transmission matrix D'.
-C             The array D is not referenced if JOBD = 'Z'.
-C
-C     LDD     INTEGER
-C             The leading dimension of array D.
-C             LDD >= MAX(1,M,P) if JOBD = 'D'.
-C             LDD >= 1 if JOBD = 'Z'.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value.
-C
-C     METHOD
-C
-C     If the given state-space representation is the M-input/P-output
-C     (A,B,C,D), its dual is simply the P-input/M-output (A',C',B',D').
-C
-C     REFERENCES
-C
-C     None
-C
-C     NUMERICAL ASPECTS
-C
-C     None
-C
-C     CONTRIBUTOR
-C
-C     Release 3.0: V. Sima, Katholieke Univ. Leuven, Belgium, Dec. 1996.
-C     Supersedes Release 2.0 routine AB07AD by T.W.C.Williams, Kingston
-C     Polytechnic, United Kingdom, March 1982.
-C
-C     REVISIONS
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Feb. 2004.
-C
-C     KEYWORDS
-C
-C     Dual system, state-space model, state-space representation.
-C
-C     ******************************************************************
-C
-C     .. Scalar Arguments ..
-      CHARACTER         JOBD
-      INTEGER           INFO, LDA, LDB, LDC, LDD, M, N, P
-C     .. Array Arguments ..
-      DOUBLE PRECISION  A(LDA,*), B(LDB,*), C(LDC,*), D(LDD,*)
-C     .. Local Scalars ..
-      LOGICAL           LJOBD
-      INTEGER           J, MINMP, MPLIM
-C     .. External functions ..
-      LOGICAL           LSAME
-      EXTERNAL          LSAME
-C     .. External subroutines ..
-      EXTERNAL          DCOPY, DSWAP, XERBLA
-C     .. Intrinsic Functions ..
-      INTRINSIC         MAX, MIN
-C     .. Executable Statements ..
-C
-      INFO = 0
-      LJOBD = LSAME( JOBD, 'D' )
-      MPLIM = MAX( M, P )
-      MINMP = MIN( M, P )
-C
-C     Test the input scalar arguments.
-C
-      IF( .NOT.LJOBD .AND. .NOT.LSAME( JOBD, 'Z' )  ) THEN
-         INFO = -1
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( P.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -6
-      ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
-         INFO = -8
-      ELSE IF( ( N.GT.0 .AND. LDC.LT.MAX( 1, MPLIM ) ) .OR.
-     $         ( N.EQ.0 .AND. LDC.LT.1 ) ) THEN
-         INFO = -10
-      ELSE IF( ( LJOBD .AND. LDD.LT.MAX( 1, MPLIM ) ) .OR.
-     $    ( .NOT.LJOBD .AND. LDD.LT.1 ) ) THEN
-         INFO = -12
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'AB07MD', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF ( MAX( N, MINMP ).EQ.0 )
-     $   RETURN
-C
-      IF ( N.GT.0 ) THEN
-C
-C        Transpose A, if non-scalar.
-C
-         DO 10 J = 1, N - 1
-            CALL DSWAP( N-J, A(J+1,J), 1, A(J,J+1), LDA )
-   10    CONTINUE
-C
-C        Replace B by C' and C by B'.
-C
-         DO 20 J = 1, MPLIM
-            IF ( J.LE.MINMP ) THEN
-               CALL DSWAP( N, B(1,J), 1, C(J,1), LDC )
-            ELSE IF ( J.GT.P ) THEN
-               CALL DCOPY( N, B(1,J), 1, C(J,1), LDC )
-            ELSE
-               CALL DCOPY( N, C(J,1), LDC, B(1,J), 1 )
-            END IF
-   20    CONTINUE
-C
-      END IF
-C
-      IF ( LJOBD .AND. MINMP.GT.0 ) THEN
-C
-C        Transpose D, if non-scalar.
-C
-         DO 30 J = 1, MPLIM
-            IF ( J.LT.MINMP ) THEN
-               CALL DSWAP( MINMP-J, D(J+1,J), 1, D(J,J+1), LDD )
-            ELSE IF ( J.GT.P ) THEN
-               CALL DCOPY( P, D(1,J), 1, D(J,1), LDD )
-            ELSE IF ( J.GT.M ) THEN
-               CALL DCOPY( M, D(J,1), LDD, D(1,J), 1 )
-            END IF
-   30    CONTINUE
-C
-      END IF
-C
-      RETURN
-C *** Last line of AB07MD ***
-      END
--- a/extra/control-devel/devel/dksyn/AB07ND.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,303 +0,0 @@
-      SUBROUTINE AB07ND( N, M, A, LDA, B, LDB, C, LDC, D, LDD, RCOND,
-     $                   IWORK, DWORK, LDWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To compute the inverse (Ai,Bi,Ci,Di) of a given system (A,B,C,D).
-C
-C     ARGUMENTS
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the state matrix A.  N >= 0.
-C
-C     M       (input) INTEGER
-C             The number of system inputs and outputs.  M >= 0.
-C
-C     A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
-C             On entry, the leading N-by-N part of this array must
-C             contain the state matrix A of the original system.
-C             On exit, the leading N-by-N part of this array contains
-C             the state matrix Ai of the inverse system.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.  LDA >= MAX(1,N).
-C
-C     B       (input/output) DOUBLE PRECISION array, dimension (LDB,M)
-C             On entry, the leading N-by-M part of this array must
-C             contain the input matrix B of the original system.
-C             On exit, the leading N-by-M part of this array contains
-C             the input matrix Bi of the inverse system.
-C
-C     LDB     INTEGER
-C             The leading dimension of the array B.  LDB >= MAX(1,N).
-C
-C     C       (input/output) DOUBLE PRECISION array, dimension (LDC,N)
-C             On entry, the leading M-by-N part of this array must
-C             contain the output matrix C of the original system.
-C             On exit, the leading M-by-N part of this array contains
-C             the output matrix Ci of the inverse system.
-C
-C     LDC     INTEGER
-C             The leading dimension of the array C.  LDC >= MAX(1,M).
-C
-C     D       (input/output) DOUBLE PRECISION array, dimension (LDD,M)
-C             On entry, the leading M-by-M part of this array must
-C             contain the feedthrough matrix D of the original system.
-C             On exit, the leading M-by-M part of this array contains
-C             the feedthrough matrix Di of the inverse system.
-C
-C     LDD     INTEGER
-C             The leading dimension of the array D.  LDD >= MAX(1,M).
-C
-C     RCOND   (output) DOUBLE PRECISION
-C             The estimated reciprocal condition number of the
-C             feedthrough matrix D of the original system.
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension (2*M)
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if INFO = 0 or M+1, DWORK(1) returns the optimal
-C             value of LDWORK.
-C
-C     LDWORK  INTEGER
-C             The length of the array DWORK.  LDWORK >= MAX(1,4*M).
-C             For good performance, LDWORK should be larger.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = i:  the matrix D is exactly singular; the (i,i) diagonal
-C                   element is zero, i <= M; RCOND was set to zero;
-C             = M+1:  the matrix D is numerically singular, i.e., RCOND
-C                   is less than the relative machine precision, EPS
-C                   (see LAPACK Library routine DLAMCH). The
-C                   calculations have been completed, but the results
-C                   could be very inaccurate.
-C
-C     METHOD
-C
-C     The matrices of the inverse system are computed with the formulas:
-C                   -1              -1         -1           -1
-C       Ai = A - B*D  *C,  Bi = -B*D  ,  Ci = D  *C,  Di = D  .
-C
-C     NUMERICAL ASPECTS
-C
-C     The accuracy depends mainly on the condition number of the matrix
-C     D to be inverted. The estimated reciprocal condition number is
-C     returned in RCOND.
-C
-C     CONTRIBUTORS
-C
-C     A. Varga, German Aerospace Center, Oberpfaffenhofen, March 2000.
-C     D. Sima, University of Bucharest, April 2000.
-C     V. Sima, Research Institute for Informatics, Bucharest, Apr. 2000.
-C     Based on the routine SYSINV, A. Varga, 1992.
-C
-C     REVISIONS
-C
-C     A. Varga, German Aerospace Center, Oberpfaffenhofen, July 2000.
-C
-C     KEYWORDS
-C
-C     Inverse system, state-space model, state-space representation.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE
-      PARAMETER          ( ZERO = 0.0D0, ONE = 1.0D0 )
-C     .. Scalar Arguments ..
-      DOUBLE PRECISION   RCOND
-      INTEGER            INFO, LDA, LDB, LDC, LDD, LDWORK, M, N
-C     .. Array Arguments ..
-      DOUBLE PRECISION   A(LDA,*), B(LDB,*), C(LDC,*), D(LDD,*),
-     $                   DWORK(*)
-      INTEGER            IWORK(*)
-C     .. Local Scalars ..
-      DOUBLE PRECISION   DNORM
-      INTEGER            BL, CHUNK, I, IERR, J, MAXWRK
-      LOGICAL            BLAS3, BLOCK
-C     .. External Functions ..
-      DOUBLE PRECISION   DLAMCH, DLANGE
-      INTEGER            ILAENV
-      EXTERNAL           DLAMCH, DLANGE, ILAENV
-C     .. External Subroutines ..
-      EXTERNAL           DCOPY, DGECON, DGEMM, DGEMV, DGETRF, DGETRI,
-     $                   DLACPY, XERBLA
-C     .. Intrinsic Functions ..
-      INTRINSIC          DBLE, MAX, MIN
-C     .. Executable Statements ..
-C
-      INFO = 0
-C
-C     Test the input scalar arguments.
-C
-      IF( N.LT.0 ) THEN
-         INFO = -1
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -4
-      ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
-         INFO = -6
-      ELSE IF( LDC.LT.MAX( 1, M ) ) THEN
-         INFO = -8
-      ELSE IF( LDD.LT.MAX( 1, M ) ) THEN
-         INFO = -10
-      ELSE IF( LDWORK.LT.MAX( 1, 4*M ) ) THEN
-         INFO = -14
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'AB07ND', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF ( M.EQ.0 ) THEN
-         RCOND    = ONE
-         DWORK(1) = ONE
-         RETURN
-      END IF
-C
-C     Factorize D.
-C
-      CALL DGETRF( M, M, D, LDD, IWORK, INFO )
-      IF ( INFO.NE.0 ) THEN
-         RCOND = ZERO
-         RETURN
-      END IF
-C
-C     Compute the reciprocal condition number of the matrix D.
-C     Workspace: need   4*M.
-C     (Note: Comments in the code beginning "Workspace:" describe the
-C      minimal amount of workspace needed at that point in the code,
-C      as well as the preferred amount for good performance.
-C      NB refers to the optimal block size for the immediately
-C      following subroutine, as returned by ILAENV.)
-C
-      DNORM = DLANGE( '1-norm', M, M, D, LDD, DWORK )
-      CALL DGECON( '1-norm', M, D, LDD, DNORM, RCOND, DWORK, IWORK(M+1),
-     $             IERR )
-      IF ( RCOND.LT.DLAMCH( 'Epsilon' ) )
-     $   INFO = M + 1
-C                   -1
-C     Compute Di = D  .
-C     Workspace: need   M;
-C                prefer M*NB.
-C
-      MAXWRK = MAX( 4*M, M*ILAENV( 1, 'DGETRI', ' ', M, -1, -1, -1 ) )
-      CALL DGETRI( M, D, LDD, IWORK, DWORK, LDWORK, IERR )
-      IF ( N.GT.0 ) THEN
-         CHUNK = LDWORK / M
-         BLAS3 = CHUNK.GE.N .AND. M.GT.1
-         BLOCK = MIN( CHUNK, M ).GT.1
-C                          -1
-C        Compute  Bi = -B*D  .
-C
-         IF ( BLAS3 ) THEN
-C
-C           Enough workspace for a fast BLAS 3 algorithm.
-C
-            CALL DLACPY( 'Full', N, M, B, LDB, DWORK, N )
-            CALL DGEMM( 'NoTranspose', 'NoTranspose', N, M, M, -ONE,
-     $                  DWORK, N, D, LDD, ZERO, B, LDB )
-C
-         ELSE IF( BLOCK ) THEN
-C
-C           Use as many rows of B as possible.
-C
-            DO 10 I = 1, N, CHUNK
-               BL = MIN( N-I+1, CHUNK )
-               CALL DLACPY( 'Full', BL, M, B(I,1), LDB, DWORK, BL )
-               CALL DGEMM( 'NoTranspose', 'NoTranspose', BL, M, M, -ONE,
-     $                     DWORK, BL, D, LDD, ZERO, B(I,1), LDB )
-   10       CONTINUE
-C
-         ELSE
-C
-C           Use a BLAS 2 algorithm.
-C
-            DO 20 I = 1, N
-               CALL DCOPY( M, B(I,1), LDB, DWORK, 1 )
-               CALL DGEMV( 'Transpose', M, M, -ONE, D, LDD, DWORK, 1,
-     $                     ZERO, B(I,1), LDB )
-   20       CONTINUE
-C
-         END IF
-C
-C        Compute  Ai = A + Bi*C.
-C
-         CALL DGEMM( 'NoTranspose', 'NoTranspose', N, N, M, ONE, B, LDB,
-     $               C, LDC, ONE, A, LDA )
-C                        -1
-C        Compute  C <-- D  *C.
-C
-         IF ( BLAS3 ) THEN
-C
-C           Enough workspace for a fast BLAS 3 algorithm.
-C
-            CALL DLACPY( 'Full', M, N, C, LDC, DWORK, M )
-            CALL DGEMM( 'NoTranspose', 'NoTranspose', M, N, M, ONE,
-     $                  D, LDD, DWORK, M, ZERO, C, LDC )
-C
-         ELSE IF( BLOCK ) THEN
-C
-C           Use as many columns of C as possible.
-C
-            DO 30 J = 1, N, CHUNK
-               BL = MIN( N-J+1, CHUNK )
-               CALL DLACPY( 'Full', M, BL, C(1,J), LDC, DWORK, M )
-               CALL DGEMM( 'NoTranspose', 'NoTranspose', M, BL, M, ONE,
-     $                     D, LDD, DWORK, M, ZERO, C(1,J), LDC )
-   30       CONTINUE
-C
-         ELSE
-C
-C           Use a BLAS 2 algorithm.
-C
-            DO 40 J = 1, N
-               CALL DCOPY( M, C(1,J), 1, DWORK, 1 )
-               CALL DGEMV( 'NoTranspose', M, M, ONE, D, LDD, DWORK, 1,
-     $                     ZERO, C(1,J), 1 )
-   40       CONTINUE
-C
-         END IF
-      END IF
-C
-C     Return optimal workspace in DWORK(1).
-C
-      DWORK(1) = DBLE( MAX( MAXWRK, N*M ) )
-      RETURN
-C
-C *** Last line of AB07ND ***
-      END
--- a/extra/control-devel/devel/dksyn/AB13MD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,1782 +0,0 @@
-      SUBROUTINE AB13MD( FACT, N, Z, LDZ, M, NBLOCK, ITYPE, X, BOUND, D,
-     $                   G, IWORK, DWORK, LDWORK, ZWORK, LZWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To compute an upper bound on the structured singular value for a
-C     given square complex matrix and a given block structure of the
-C     uncertainty.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     FACT    CHARACTER*1
-C             Specifies whether or not an information from the
-C             previous call is supplied in the vector X.
-C             = 'F':  On entry, X contains information from the
-C                     previous call.
-C             = 'N':  On entry, X does not contain an information from
-C                     the previous call.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the matrix Z.  N >= 0.
-C
-C     Z       (input) COMPLEX*16 array, dimension (LDZ,N)
-C             The leading N-by-N part of this array must contain the
-C             complex matrix Z for which the upper bound on the
-C             structured singular value is to be computed.
-C
-C     LDZ     INTEGER
-C             The leading dimension of the array Z.  LDZ >= max(1,N).
-C
-C     M       (input) INTEGER
-C             The number of diagonal blocks in the block structure of
-C             the uncertainty.  M >= 1.
-C
-C     NBLOCK  (input) INTEGER array, dimension (M)
-C             The vector of length M containing the block structure
-C             of the uncertainty. NBLOCK(I), I = 1:M, is the size of
-C             each block.
-C
-C     ITYPE   (input) INTEGER array, dimension (M)
-C             The vector of length M indicating the type of each block.
-C             For I = 1:M,
-C             ITYPE(I) = 1 indicates that the corresponding block is a
-C                          real block, and
-C             ITYPE(I) = 2 indicates that the corresponding block is a
-C                          complex block.
-C             NBLOCK(I) must be equal to 1 if ITYPE(I) is equal to 1.
-C
-C     X       (input/output) DOUBLE PRECISION array, dimension
-C             ( M + MR - 1 ), where MR is the number of the real blocks.
-C             On entry, if FACT = 'F' and NBLOCK(1) < N, this array
-C             must contain information from the previous call to AB13MD.
-C             If NBLOCK(1) = N, this array is not used.
-C             On exit, if NBLOCK(1) < N, this array contains information
-C             that can be used in the next call to AB13MD for a matrix
-C             close to Z.
-C
-C     BOUND   (output) DOUBLE PRECISION
-C             The upper bound on the structured singular value.
-C
-C     D, G    (output) DOUBLE PRECISION arrays, dimension (N)
-C             The vectors of length N containing the diagonal entries
-C             of the diagonal N-by-N matrices D and G, respectively,
-C             such that the matrix
-C             Z'*D^2*Z + sqrt(-1)*(G*Z-Z'*G) - BOUND^2*D^2
-C             is negative semidefinite.
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension MAX(4*M-2,N)
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if INFO = 0, DWORK(1) contains the optimal value
-C             of LDWORK.
-C
-C     LDWORK  INTEGER
-C             The dimension of the array DWORK.
-C             LDWORK >= 2*N*N*M - N*N + 9*M*M + N*M + 11*N + 33*M - 11.
-C             For best performance
-C             LDWORK >= 2*N*N*M - N*N + 9*M*M + N*M + 6*N + 33*M - 11 +
-C                       MAX( 5*N,2*N*NB )
-C             where NB is the optimal blocksize returned by ILAENV.
-C
-C     ZWORK   COMPLEX*16 array, dimension (LZWORK)
-C             On exit, if INFO = 0, ZWORK(1) contains the optimal value
-C             of LZWORK.
-C
-C     LZWORK  INTEGER
-C             The dimension of the array ZWORK.
-C             LZWORK >= 6*N*N*M + 12*N*N + 6*M + 6*N - 3.
-C             For best performance
-C             LZWORK >= 6*N*N*M + 12*N*N + 6*M + 3*N - 3 +
-C                       MAX( 3*N,N*NB )
-C             where NB is the optimal blocksize returned by ILAENV.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = 1:  the block sizes must be positive integers;
-C             = 2:  the sum of block sizes must be equal to N;
-C             = 3:  the size of a real block must be equal to 1;
-C             = 4:  the block type must be either 1 or 2;
-C             = 5:  errors in solving linear equations or in matrix
-C                   inversion;
-C             = 6:  errors in computing eigenvalues or singular values.
-C
-C     METHOD
-C
-C     The routine computes the upper bound proposed in [1].
-C
-C     REFERENCES
-C
-C     [1] Fan, M.K.H., Tits, A.L., and Doyle, J.C.
-C         Robustness in the presence of mixed parametric uncertainty
-C         and unmodeled dynamics.
-C         IEEE Trans. Automatic Control, vol. AC-36, 1991, pp. 25-38.
-C
-C     NUMERICAL ASPECTS
-C
-C     The accuracy and speed of computation depend on the value of
-C     the internal threshold TOL.
-C
-C     CONTRIBUTORS
-C
-C     P.Hr. Petkov, F. Delebecque, D.W. Gu, M.M. Konstantinov and
-C     S. Steer with the assistance of V. Sima, September 2000.
-C
-C     REVISIONS
-C
-C     V. Sima, Katholieke Universiteit Leuven, February 2001.
-C
-C     KEYWORDS
-C
-C     H-infinity optimal control, Robust control, Structured singular
-C     value.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      COMPLEX*16         CZERO, CONE, CIMAG
-      PARAMETER          ( CZERO = ( 0.0D+0, 0.0D+0 ),
-     $                     CONE  = ( 1.0D+0, 0.0D+0 ),
-     $                     CIMAG = ( 0.0D+0, 1.0D+0 ) )
-      DOUBLE PRECISION   ZERO, ONE, TWO, FOUR, FIVE, EIGHT, TEN, FORTY,
-     $                   FIFTY
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0, TWO = 2.0D+0,
-     $                     FOUR = 4.0D+0, FIVE = 5.0D+0, EIGHT = 8.0D+0,
-     $                     TEN  = 1.0D+1, FORTY = 4.0D+1, FIFTY = 5.0D+1
-     $                   )
-      DOUBLE PRECISION   ALPHA, BETA, THETA
-      PARAMETER          ( ALPHA = 100.0D+0, BETA = 1.0D-2,
-     $                     THETA = 1.0D-2 )
-      DOUBLE PRECISION   C1, C2, C3, C4, C5, C6, C7, C8, C9
-      PARAMETER          ( C1 = 1.0D-3, C2 = 1.0D-2, C3 = 0.25D+0,
-     $                     C4 = 0.9D+0, C5 = 1.5D+0, C6 = 1.0D+1,
-     $                     C7 = 1.0D+2, C8 = 1.0D+3, C9 = 1.0D+4 )
-C     ..
-C     .. Scalar Arguments ..
-      CHARACTER          FACT
-      INTEGER            INFO, LDWORK, LDZ, LZWORK, M, N
-      DOUBLE PRECISION   BOUND
-C     ..
-C     .. Array Arguments ..
-      INTEGER            ITYPE( * ), IWORK( * ), NBLOCK( * )
-      COMPLEX*16         Z( LDZ, * ), ZWORK( * )
-      DOUBLE PRECISION   D( * ), DWORK( * ), G( * ), X( * )
-C     ..
-C     .. Local Scalars ..
-      INTEGER            I, INFO2, ISUM, ITER, IW2, IW3, IW4, IW5, IW6,
-     $                   IW7, IW8, IW9, IW10, IW11, IW12, IW13, IW14,
-     $                   IW15, IW16, IW17, IW18, IW19, IW20, IW21, IW22,
-     $                   IW23, IW24, IW25, IW26, IW27, IW28, IW29, IW30,
-     $                   IW31, IW32, IW33, IWRK, IZ2, IZ3, IZ4, IZ5,
-     $                   IZ6, IZ7, IZ8, IZ9, IZ10, IZ11, IZ12, IZ13,
-     $                   IZ14, IZ15, IZ16, IZ17, IZ18, IZ19, IZ20, IZ21,
-     $                   IZ22, IZ23, IZ24, IZWRK, J, K, L, LWA, LWAMAX,
-     $                   LZA, LZAMAX, MINWRK, MINZRK, MR, MT, NSUM, SDIM
-      COMPLEX*16         DETF, TEMPIJ, TEMPJI
-      DOUBLE PRECISION   C, COLSUM, DELTA, DLAMBD, E, EMAX, EMIN, EPS,
-     $                   HN, HNORM, HNORM1, PHI, PP, PROD, RAT, RCOND,
-     $                   REGPAR, ROWSUM, SCALE, SNORM, STSIZE, SVLAM,
-     $                   T1, T2, T3, TAU, TEMP, TOL, TOL2, TOL3, TOL4,
-     $                   TOL5, YNORM1, YNORM2, ZNORM, ZNORM2
-      LOGICAL            GTEST, POS, XFACT
-C     ..
-C     .. Local Arrays ..
-      LOGICAL            BWORK( 1 )
-C     ..
-C     .. External Functions
-      DOUBLE PRECISION   DDOT, DLAMCH, DLANGE, ZLANGE
-      LOGICAL            LSAME, SELECT
-      EXTERNAL           DDOT, DLAMCH, DLANGE, LSAME, SELECT, ZLANGE
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DCOPY, DGEMV, DLACPY, DLASET, DSCAL, DSYCON,
-     $                   DSYSV, DSYTRF, DSYTRS, XERBLA, ZCOPY, ZGEES,
-     $                   ZGEMM, ZGEMV, ZGESVD, ZGETRF, ZGETRI, ZLACPY,
-     $                   ZLASCL
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          ABS, DCMPLX, DCONJG, DFLOAT, DREAL, INT, LOG,
-     $                   MAX, SQRT
-C     ..
-C     .. Executable Statements ..
-C
-C     Compute workspace.
-C
-      MINWRK = 2*N*N*M - N*N + 9*M*M + N*M + 11*N + 33*M - 11
-      MINZRK = 6*N*N*M + 12*N*N + 6*M + 6*N - 3
-C
-C     Decode and Test input parameters.
-C
-      INFO = 0
-      XFACT = LSAME( FACT, 'F' )
-      IF( .NOT.XFACT .AND. .NOT.LSAME( FACT, 'N' ) ) THEN
-         INFO = -1
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( LDZ.LT.MAX( 1, N ) ) THEN
-         INFO = -4
-      ELSE IF( M.LT.1 ) THEN
-         INFO = -5
-      ELSE IF( LDWORK.LT.MINWRK ) THEN
-         INFO = -14
-      ELSE IF( LZWORK.LT.MINZRK ) THEN
-         INFO = -16
-      END IF
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'AB13MD', -INFO )
-         RETURN
-      END IF
-C
-      NSUM = 0
-      ISUM = 0
-      MR = 0
-      DO 10 I = 1, M
-         IF( NBLOCK( I ).LT.1 ) THEN
-            INFO = 1
-            RETURN
-         END IF
-         IF( ITYPE( I ).EQ.1 .AND. NBLOCK( I ).GT.1 ) THEN
-            INFO = 3
-            RETURN
-         END IF
-         NSUM = NSUM + NBLOCK( I )
-         IF( ITYPE( I ).EQ.1 ) MR = MR + 1
-         IF( ITYPE( I ).EQ.1 .OR. ITYPE( I ).EQ.2 ) ISUM = ISUM + 1
-   10 CONTINUE
-      IF( NSUM.NE.N ) THEN
-         INFO = 2
-         RETURN
-      END IF
-      IF( ISUM.NE.M ) THEN
-         INFO = 4
-         RETURN
-      END IF
-      MT = M + MR - 1
-C
-      LWAMAX = 0
-      LZAMAX = 0
-C
-C     Set D = In, G = 0.
-C
-      CALL DLASET( 'Full', N, 1, ONE, ONE, D, N )
-      CALL DLASET( 'Full', N, 1, ZERO, ZERO, G, N )
-C
-C     Quick return if possible.
-C
-      ZNORM = ZLANGE( 'F', N, N, Z, LDZ, DWORK )
-      IF( ZNORM.EQ.ZERO ) THEN
-         BOUND = ZERO
-         DWORK( 1 ) = ONE
-         ZWORK( 1 ) = CONE
-         RETURN
-      END IF
-C
-C     Copy Z into ZWORK.
-C
-      CALL ZLACPY( 'Full', N, N, Z, LDZ, ZWORK, N )
-C
-C     Exact bound for the case NBLOCK( 1 ) = N.
-C
-      IF( NBLOCK( 1 ).EQ.N ) THEN
-         IF( ITYPE( 1 ).EQ.1 ) THEN
-C
-C           1-by-1 real block.
-C
-            BOUND = ZERO
-            DWORK( 1 ) = ONE
-            ZWORK( 1 ) = CONE
-         ELSE
-C
-C           N-by-N complex block.
-C
-            CALL ZGESVD( 'N', 'N', N, N, ZWORK, N, DWORK, ZWORK, 1,
-     $                   ZWORK, 1, ZWORK( N*N+1 ), LZWORK,
-     $                   DWORK( N+1 ), INFO2 )
-            IF( INFO2.GT.0 ) THEN
-               INFO = 6
-               RETURN
-            END IF
-            BOUND = DWORK( 1 )
-            LZA = N*N + INT( ZWORK( N*N+1 ) )
-            DWORK( 1 ) = 5*N
-            ZWORK( 1 ) = DCMPLX( LZA )
-         END IF
-         RETURN
-      END IF
-C
-C     Get machine precision.
-C
-      EPS = DLAMCH( 'P' )
-C
-C     Set tolerances.
-C
-      TOL  = C7*SQRT( EPS )
-      TOL2 = C9*EPS
-      TOL3 = C6*EPS
-      TOL4 = C1
-      TOL5 = C1
-      REGPAR = C8*EPS
-C
-C     Real workspace usage.
-C
-      IW2  = M*M
-      IW3  = IW2  + M
-      IW4  = IW3  + N
-      IW5  = IW4  + M
-      IW6  = IW5  + M
-      IW7  = IW6  + N
-      IW8  = IW7  + N
-      IW9  = IW8  + N*( M - 1 )
-      IW10 = IW9  + N*N*MT
-      IW11 = IW10 + MT
-      IW12 = IW11 + MT*MT
-      IW13 = IW12 + N
-      IW14 = IW13 + MT + 1
-      IW15 = IW14 + MT + 1
-      IW16 = IW15 + MT + 1
-      IW17 = IW16 + MT + 1
-      IW18 = IW17 + MT + 1
-      IW19 = IW18 + MT
-      IW20 = IW19 + MT
-      IW21 = IW20 + MT
-      IW22 = IW21 + N
-      IW23 = IW22 + M - 1
-      IW24 = IW23 + MR
-      IW25 = IW24 + N
-      IW26 = IW25 + 2*MT
-      IW27 = IW26 + MT
-      IW28 = IW27 + MT
-      IW29 = IW28 + M - 1
-      IW30 = IW29 + MR
-      IW31 = IW30 + N + 2*MT
-      IW32 = IW31 + MT*MT
-      IW33 = IW32 + MT
-      IWRK = IW33 + MT + 1
-C
-C     Double complex workspace usage.
-C
-      IZ2  = N*N
-      IZ3  = IZ2  + N*N
-      IZ4  = IZ3  + N*N
-      IZ5  = IZ4  + N*N
-      IZ6  = IZ5  + N*N
-      IZ7  = IZ6  + N*N*MT
-      IZ8  = IZ7  + N*N
-      IZ9  = IZ8  + N*N
-      IZ10 = IZ9  + N*N
-      IZ11 = IZ10 + MT
-      IZ12 = IZ11 + N*N
-      IZ13 = IZ12 + N
-      IZ14 = IZ13 + N*N
-      IZ15 = IZ14 + N
-      IZ16 = IZ15 + N*N
-      IZ17 = IZ16 + N
-      IZ18 = IZ17 + N*N
-      IZ19 = IZ18 + N*N*MT
-      IZ20 = IZ19 + MT
-      IZ21 = IZ20 + N*N*MT
-      IZ22 = IZ21 + N*N
-      IZ23 = IZ22 + N*N
-      IZ24 = IZ23 + N*N
-      IZWRK = IZ24 + MT
-C
-C     Compute the cumulative sums of blocks dimensions.
-C
-      IWORK( 1 ) = 0
-      DO 20 I = 2, M+1
-         IWORK( I ) = IWORK( I - 1 ) + NBLOCK( I - 1 )
-   20 CONTINUE
-C
-C     Find Osborne scaling if initial scaling is not given.
-C
-      IF( .NOT.XFACT ) THEN
-         CALL DLASET( 'Full', M, M, ZERO, ZERO, DWORK, M )
-         CALL DLASET( 'Full', M, 1, ONE, ONE, DWORK( IW2+1 ), M )
-         ZNORM = ZLANGE( 'F', N, N, ZWORK, N, DWORK )
-         DO 40 J = 1, M
-            DO 30 I = 1, M
-               IF( I.NE.J ) THEN
-                  CALL ZLACPY( 'Full', IWORK( I+1 )-IWORK( I ),
-     $                         IWORK( J+1 )-IWORK( J ),
-     $                         Z( IWORK( I )+1, IWORK( J )+1 ), LDZ,
-     $                         ZWORK( IZ2+1 ), N )
-                  CALL ZGESVD( 'N', 'N', IWORK( I+1 )-IWORK( I ),
-     $                         IWORK( J+1 )-IWORK( J ), ZWORK( IZ2+1 ),
-     $                         N, DWORK( IW3+1 ), ZWORK, 1, ZWORK, 1,
-     $                         ZWORK( IZWRK+1 ), LZWORK-IZWRK,
-     $                         DWORK( IWRK+1 ), INFO2 )
-                  IF( INFO2.GT.0 ) THEN
-                     INFO = 6
-                     RETURN
-                  END IF
-                  LZA = INT( ZWORK( IZWRK+1 ) )
-                  LZAMAX = MAX( LZA, LZAMAX )
-                  ZNORM2 = DWORK( IW3+1 )
-                  DWORK( I+(J-1)*M ) = ZNORM2 + ZNORM*TOL2
-               END IF
-   30       CONTINUE
-   40    CONTINUE
-         CALL  DLASET( 'Full', M, 1, ZERO, ZERO, DWORK( IW4+1 ), M )
-   50    DO 60 I = 1, M
-            DWORK( IW5+I ) = DWORK( IW4+I ) - ONE
-   60    CONTINUE
-         HNORM = DLANGE( 'F', M, 1, DWORK( IW5+1 ), M, DWORK )
-         IF( HNORM.LE.TOL2 ) GO TO 120
-            DO 110 K = 1, M
-               COLSUM = ZERO
-               DO 70 I = 1, M
-                  COLSUM = COLSUM + DWORK( I+(K-1)*M )
-   70          CONTINUE
-               ROWSUM = ZERO
-               DO 80 J = 1, M
-                  ROWSUM = ROWSUM + DWORK( K+(J-1)*M )
-   80          CONTINUE
-               RAT = SQRT( COLSUM / ROWSUM )
-               DWORK( IW4+K ) = RAT
-               DO 90 I = 1, M
-                  DWORK( I+(K-1)*M ) = DWORK( I+(K-1)*M ) / RAT
-   90          CONTINUE
-               DO 100 J = 1, M
-                  DWORK( K+(J-1)*M ) = DWORK( K+(J-1)*M )*RAT
-  100          CONTINUE
-               DWORK( IW2+K ) = DWORK( IW2+K )*RAT
-  110       CONTINUE
-            GO TO 50
-  120    SCALE = ONE / DWORK( IW2+1 )
-         CALL DSCAL( M, SCALE, DWORK( IW2+1 ), 1 )
-      ELSE
-         DWORK( IW2+1 ) = ONE
-         DO 130 I = 2, M
-            DWORK( IW2+I ) = SQRT( X( I-1 ) )
-  130    CONTINUE
-      END IF
-      DO 150 J = 1, M
-         DO 140 I = 1, M
-            IF( I.NE.J ) THEN
-               CALL ZLASCL( 'G', M, M, DWORK( IW2+J ), DWORK( IW2+I ),
-     $                      IWORK( I+1 )-IWORK( I ),
-     $                      IWORK( J+1 )-IWORK( J ),
-     $                      ZWORK( IWORK( I )+1+IWORK( J )*N ), N,
-     $                      INFO2 )
-            END IF
-  140    CONTINUE
-  150 CONTINUE
-C
-C     Scale Z by its 2-norm.
-C
-      CALL ZLACPY( 'Full', N, N, ZWORK, N, ZWORK( IZ2+1 ), N )
-      CALL ZGESVD( 'N', 'N', N, N, ZWORK( IZ2+1 ), N, DWORK( IW3+1 ),
-     $             ZWORK, 1, ZWORK, 1, ZWORK( IZWRK+1 ), LZWORK-IZWRK,
-     $             DWORK( IWRK+1 ), INFO2 )
-      IF( INFO2.GT.0 ) THEN
-         INFO = 6
-         RETURN
-      END IF
-      LZA = INT( ZWORK( IZWRK+1 ) )
-      LZAMAX = MAX( LZA, LZAMAX )
-      ZNORM = DWORK( IW3+1 )
-      CALL ZLASCL( 'G', M, M, ZNORM, ONE, N, N, ZWORK, N, INFO2 )
-C
-C     Set BB.
-C
-      CALL DLASET( 'Full', N*N, MT, ZERO, ZERO, DWORK( IW9+1 ), N*N )
-C
-C     Set P.
-C
-      DO 160 I = 1, NBLOCK( 1 )
-         DWORK( IW6+I ) = ONE
-  160 CONTINUE
-      DO 170 I =  NBLOCK( 1 )+1, N
-         DWORK( IW6+I ) = ZERO
-  170 CONTINUE
-C
-C     Compute P*Z.
-C
-      DO 190 J = 1, N
-         DO 180 I = 1, N
-            ZWORK( IZ3+I+(J-1)*N ) = DCMPLX( DWORK( IW6+I ) )*
-     $                               ZWORK( I+(J-1)*N )
-  180    CONTINUE
-  190 CONTINUE
-C
-C     Compute Z'*P*Z.
-C
-      CALL ZGEMM( 'C', 'N', N, N, N, CONE, ZWORK, N, ZWORK( IZ3+1 ), N,
-     $            CZERO, ZWORK( IZ4+1 ), N )
-C
-C     Copy Z'*P*Z into A0.
-C
-      CALL ZLACPY( 'Full', N, N, ZWORK( IZ4+1 ), N, ZWORK( IZ5+1 ), N )
-C
-C     Copy diag(P) into B0d.
-C
-      CALL DCOPY( N, DWORK( IW6+1 ), 1, DWORK( IW7+1 ), 1 )
-C
-      DO 270 K = 2, M
-C
-C        Set P.
-C
-         DO 200 I = 1, IWORK( K )
-            DWORK( IW6+I ) = ZERO
-  200    CONTINUE
-         DO 210 I = IWORK( K )+1, IWORK( K )+NBLOCK( K )
-            DWORK( IW6+I ) = ONE
-  210    CONTINUE
-         IF( K.LT.M ) THEN
-            DO 220 I = IWORK( K+1 )+1, N
-               DWORK( IW6+I ) = ZERO
-  220       CONTINUE
-         END IF
-C
-C        Compute P*Z.
-C
-         DO 240 J = 1, N
-            DO 230 I = 1, N
-               ZWORK( IZ3+I+(J-1)*N ) = DCMPLX( DWORK( IW6+I ) )*
-     $                                  ZWORK( I+(J-1)*N )
-  230       CONTINUE
-  240    CONTINUE
-C
-C        Compute t = Z'*P*Z.
-C
-         CALL ZGEMM( 'C', 'N', N, N, N, CONE, ZWORK, N, ZWORK( IZ3+1 ),
-     $               N, CZERO, ZWORK( IZ4+1 ), N )
-C
-C        Copy t(:) into the (k-1)-th column of AA.
-C
-         CALL ZCOPY( N*N, ZWORK( IZ4+1 ), 1, ZWORK( IZ6+1+(K-2)*N*N ),
-     $               1 )
-C
-C        Copy diag(P) into the (k-1)-th column of BBd.
-C
-         CALL DCOPY( N, DWORK( IW6+1 ), 1, DWORK( IW8+1+(K-2)*N ), 1 )
-C
-C        Copy P(:) into the (k-1)-th column of BB.
-C
-         DO 260 I = 1, N
-            DWORK( IW9+I+(I-1)*N+(K-2)*N*N ) = DWORK( IW6+I )
-  260    CONTINUE
-  270 CONTINUE
-C
-      L = 0
-C
-      DO 350 K = 1, M
-         IF( ITYPE( K ).EQ.1 ) THEN
-            L = L + 1
-C
-C           Set P.
-C
-            DO 280 I = 1, IWORK( K )
-               DWORK( IW6+I ) = ZERO
-  280       CONTINUE
-            DO 290 I =  IWORK( K )+1, IWORK( K )+NBLOCK( K )
-               DWORK( IW6+I ) = ONE
-  290       CONTINUE
-            IF( K.LT.M ) THEN
-               DO 300 I = IWORK( K+1 )+1, N
-                  DWORK( IW6+I ) = ZERO
-  300          CONTINUE
-            END IF
-C
-C           Compute P*Z.
-C
-            DO 320 J = 1, N
-               DO 310 I = 1, N
-                  ZWORK( IZ3+I+(J-1)*N ) = DCMPLX( DWORK( IW6+I ) )*
-     $                                     ZWORK( I+(J-1)*N )
-  310          CONTINUE
-  320       CONTINUE
-C
-C           Compute t = sqrt(-1)*( P*Z - Z'*P ).
-C
-            DO 340 J = 1, N
-               DO 330 I = 1, J
-                  TEMPIJ = ZWORK( IZ3+I+(J-1)*N )
-                  TEMPJI = ZWORK( IZ3+J+(I-1)*N )
-                  ZWORK( IZ4+I+(J-1)*N ) = CIMAG*( TEMPIJ -
-     $                                             DCONJG( TEMPJI ) )
-                  ZWORK( IZ4+J+(I-1)*N ) = CIMAG*( TEMPJI -
-     $                                             DCONJG( TEMPIJ ) )
-  330          CONTINUE
-  340       CONTINUE
-C
-C           Copy t(:) into the (m-1+l)-th column of AA.
-C
-            CALL ZCOPY( N*N, ZWORK( IZ4+1 ), 1,
-     $                       ZWORK( IZ6+1+(M-2+L)*N*N ), 1 )
-         END IF
-  350 CONTINUE
-C
-C     Set initial X.
-C
-      DO 360 I = 1, M - 1
-         X( I ) = ONE
-  360 CONTINUE
-      IF( MR.GT.0 ) THEN
-         IF( .NOT.XFACT ) THEN
-            DO 370 I = 1, MR
-               X( M-1+I ) = ZERO
-  370       CONTINUE
-         ELSE
-            L = 0
-            DO 380 K = 1, M
-               IF( ITYPE( K ).EQ.1 ) THEN
-                  L = L + 1
-                  X( M-1+L ) = X( M-1+L ) / DWORK( IW2+K )**2
-               END IF
-  380       CONTINUE
-         END IF
-      END IF
-C
-C     Set constants.
-C
-      SVLAM = ONE / EPS
-      C = ONE
-C
-C     Set H.
-C
-      CALL  DLASET( 'Full', MT, MT, ZERO, ONE, DWORK( IW11+1 ), MT )
-C
-      ITER = -1
-C
-C     Main iteration loop.
-C
-  390 ITER = ITER + 1
-C
-C        Compute A(:) = A0 + AA*x.
-C
-         DO 400 I = 1, MT
-            ZWORK( IZ10+I ) = DCMPLX( X( I ) )
-  400    CONTINUE
-         CALL ZCOPY( N*N, ZWORK( IZ5+1 ), 1, ZWORK( IZ7+1 ), 1 )
-         CALL ZGEMV( 'N', N*N, MT, CONE, ZWORK( IZ6+1 ), N*N,
-     $               ZWORK( IZ10+1 ), 1, CONE, ZWORK( IZ7+1 ), 1 )
-C
-C        Compute diag( Binv ).
-C
-         CALL DCOPY( N, DWORK( IW7+1 ), 1, DWORK( IW12+1 ), 1 )
-         CALL DGEMV( 'N', N, M-1, ONE, DWORK( IW8+1 ), N, X, 1, ONE,
-     $               DWORK( IW12+1 ), 1 )
-         DO 410 I = 1, N
-            DWORK( IW12+I ) = ONE / DWORK( IW12+I )
-  410    CONTINUE
-C
-C        Compute Binv*A.
-C
-         DO 430 J = 1, N
-            DO 420 I = 1, N
-               ZWORK( IZ11+I+(J-1)*N ) = DCMPLX( DWORK( IW12+I ) )*
-     $                                   ZWORK( IZ7+I+(J-1)*N )
-  420       CONTINUE
-  430    CONTINUE
-C
-C        Compute eig( Binv*A ).
-C
-         CALL ZGEES( 'N', 'N', SELECT, N, ZWORK( IZ11+1 ), N, SDIM,
-     $               ZWORK( IZ12+1 ), ZWORK, N, ZWORK( IZWRK+1 ),
-     $               LZWORK-IZWRK, DWORK( IWRK+1 ), BWORK, INFO2 )
-         IF( INFO2.GT.0 ) THEN
-            INFO = 6
-            RETURN
-         END IF
-         LZA = INT( ZWORK( IZWRK+1 ) )
-         LZAMAX = MAX( LZA, LZAMAX )
-         E = DREAL( ZWORK( IZ12+1 ) )
-         IF( N.GT.1 ) THEN
-            DO 440 I = 2, N
-               IF( DREAL( ZWORK( IZ12+I ) ).GT.E )
-     $                                   E = DREAL( ZWORK( IZ12+I ) )
-  440       CONTINUE
-         END IF
-C
-C        Set tau.
-C
-         IF( MR.GT.0 ) THEN
-            SNORM = ABS( X( M ) )
-            IF( MR.GT.1 ) THEN
-               DO 450 I = M+1, MT
-                  IF( ABS( X( I ) ).GT.SNORM ) SNORM = ABS( X( I ) )
-  450          CONTINUE
-            END IF
-            IF( SNORM.GT.FORTY ) THEN
-               TAU = C7
-            ELSE IF( SNORM.GT.EIGHT ) THEN
-               TAU = FIFTY
-            ELSE IF( SNORM.GT.FOUR ) THEN
-               TAU = TEN
-            ELSE IF( SNORM.GT.ONE ) THEN
-               TAU = FIVE
-            ELSE
-               TAU = TWO
-            END IF
-         END IF
-         IF( ITER.EQ.0 ) THEN
-            DLAMBD = E + C1
-         ELSE
-            DWORK( IW13+1 ) = E
-            CALL DCOPY( MT, X, 1, DWORK( IW13+2 ), 1 )
-            DLAMBD = ( ONE - THETA )*DWORK( IW13+1 ) +
-     $                                         THETA*DWORK( IW14+1 )
-            CALL DCOPY( MT, DWORK( IW13+2 ), 1, DWORK( IW18+1 ), 1 )
-            CALL DCOPY( MT, DWORK( IW14+2 ), 1, DWORK( IW19+1 ), 1 )
-            L = 0
-  460       DO 470 I = 1, MT
-               X( I ) = ( ONE - THETA / TWO**L )*DWORK( IW18+I ) +
-     $                        ( THETA / TWO**L )*DWORK( IW19+I )
-  470       CONTINUE
-C
-C           Compute At(:) = A0 + AA*x.
-C
-            DO 480 I = 1, MT
-               ZWORK( IZ10+I ) = DCMPLX( X( I ) )
-  480       CONTINUE
-            CALL ZCOPY( N*N, ZWORK( IZ5+1 ), 1, ZWORK( IZ9+1 ), 1 )
-            CALL ZGEMV( 'N', N*N, MT, CONE, ZWORK( IZ6+1 ), N*N,
-     $                  ZWORK( IZ10+1 ), 1, CONE, ZWORK( IZ9+1 ), 1 )
-C
-C           Compute diag(Bt).
-C
-            CALL DCOPY( N, DWORK( IW7+1 ), 1, DWORK( IW21+1 ), 1 )
-            CALL DGEMV( 'N', N, M-1, ONE, DWORK( IW8+1 ), N, X, 1, ONE,
-     $                  DWORK( IW21+1 ), 1 )
-C
-C           Compute W.
-C
-            DO 500 J = 1, N
-               DO 490 I = 1, N
-                  IF( I.EQ.J ) THEN
-                     ZWORK( IZ13+I+(I-1)*N ) = DCMPLX( THETA*BETA*
-     $                      ( DWORK( IW14+1 ) - DWORK( IW13+1 ) ) /TWO -
-     $                      DLAMBD*DWORK( IW21+I ) ) +
-     $                      ZWORK( IZ9+I+(I-1)*N )
-                  ELSE
-                     ZWORK( IZ13+I+(J-1)*N ) = ZWORK( IZ9+I+(J-1)*N )
-                  END IF
-  490          CONTINUE
-  500       CONTINUE
-C
-C           Compute eig( W ).
-C
-            CALL ZGEES( 'N', 'N', SELECT, N, ZWORK( IZ13+1 ), N, SDIM,
-     $                  ZWORK( IZ14+1 ), ZWORK, N, ZWORK( IZWRK+1 ),
-     $                  LZWORK-IZWRK, DWORK( IWRK+1 ), BWORK, INFO2 )
-            IF( INFO2.GT.0 ) THEN
-               INFO = 6
-               RETURN
-            END IF
-            LZA = INT( ZWORK( IZWRK+1 ) )
-            LZAMAX = MAX( LZA, LZAMAX )
-            EMAX = DREAL( ZWORK( IZ14+1 ) )
-            IF( N.GT.1 ) THEN
-               DO 510 I = 2, N
-                  IF( DREAL( ZWORK( IZ14+I ) ).GT.EMAX )
-     $               EMAX = DREAL( ZWORK( IZ14+I ) )
-  510          CONTINUE
-            END IF
-            IF( EMAX.LE.ZERO ) THEN
-               GO TO 515
-            ELSE
-               L = L + 1
-               GO TO 460
-            END IF
-         END IF
-C
-C        Set y.
-C
-  515    DWORK( IW13+1 ) = DLAMBD
-         CALL DCOPY( MT, X, 1, DWORK( IW13+2 ), 1 )
-C
-         IF( ( SVLAM - DLAMBD ).LT.TOL ) THEN
-            BOUND = SQRT( MAX( E, ZERO ) )*ZNORM
-            DO 520 I = 1, M - 1
-               X( I ) = X( I )*DWORK( IW2+I+1 )**2
-  520       CONTINUE
-C
-C           Compute sqrt( x ).
-C
-            DO 530 I = 1, M-1
-               DWORK( IW20+I ) = SQRT( X( I ) )
-  530       CONTINUE
-C
-C           Compute diag( D ).
-C
-            CALL DCOPY( N, DWORK( IW7+1 ), 1, D, 1 )
-            CALL DGEMV( 'N', N, M-1, ONE, DWORK( IW8+1 ), N,
-     $                  DWORK( IW20+1 ), 1, ONE, D, 1 )
-C
-C           Compute diag( G ).
-C
-            J = 0
-            L = 0
-            DO 540 K = 1, M
-               J = J + NBLOCK( K )
-               IF( ITYPE( K ).EQ.1 ) THEN
-                  L = L + 1
-                  X( M-1+L ) = X( M-1+L )*DWORK( IW2+K )**2
-                  G( J ) = X( M-1+L )
-               END IF
-  540       CONTINUE
-            CALL DSCAL( N, ZNORM, G, 1 )
-            DWORK( 1 ) = DFLOAT( MINWRK - 5*N + LWAMAX )
-            ZWORK( 1 ) = DCMPLX( MINZRK - 3*N + LZAMAX )
-            RETURN
-         END IF
-         SVLAM = DLAMBD
-         DO 800 K = 1, M
-C
-C           Store xD.
-C
-            CALL DCOPY( M-1, X, 1, DWORK( IW22+1 ), 1 )
-            IF( MR.GT.0 ) THEN
-C
-C              Store xG.
-C
-               CALL DCOPY( MR, X( M ), 1, DWORK( IW23+1 ), 1 )
-            END IF
-C
-C           Compute A(:) = A0 + AA*x.
-C
-            DO 550 I = 1, MT
-               ZWORK( IZ10+I ) = DCMPLX( X( I ) )
-  550       CONTINUE
-            CALL ZCOPY( N*N, ZWORK( IZ5+1 ), 1, ZWORK( IZ7+1 ), 1 )
-            CALL ZGEMV( 'N', N*N, MT, CONE, ZWORK( IZ6+1 ), N*N,
-     $                  ZWORK( IZ10+1 ), 1, CONE, ZWORK( IZ7+1 ), 1 )
-C
-C           Compute B = B0d + BBd*xD.
-C
-            CALL DCOPY( N, DWORK( IW7+1 ), 1, DWORK( IW24+1 ), 1 )
-            CALL DGEMV( 'N', N, M-1, ONE, DWORK( IW8+1 ), N,
-     $                  DWORK( IW22+1 ), 1, ONE, DWORK( IW24+1 ), 1 )
-C
-C           Compute F.
-C
-            DO 556 J = 1, N
-               DO 555 I = 1, N
-                  IF( I.EQ.J ) THEN
-                     ZWORK( IZ15+I+(I-1)*N ) = DCMPLX( DLAMBD*
-     $                      DWORK( IW24+I ) ) - ZWORK( IZ7+I+(I-1)*N )
-                  ELSE
-                     ZWORK( IZ15+I+(J-1)*N ) = -ZWORK( IZ7+I+(J-1)*N )
-                  END IF
-  555          CONTINUE
-  556       CONTINUE
-            CALL ZLACPY( 'Full', N, N, ZWORK( IZ15+1 ), N,
-     $                   ZWORK( IZ17+1 ), N )
-C
-C           Compute det( F ).
-C
-            CALL ZGEES( 'N', 'N', SELECT, N, ZWORK( IZ15+1 ), N, SDIM,
-     $                  ZWORK( IZ16+1 ), ZWORK, N, ZWORK( IZWRK+1 ),
-     $                  LZWORK-IZWRK, DWORK( IWRK+1 ), BWORK, INFO2 )
-            IF( INFO2.GT.0 ) THEN
-               INFO = 6
-               RETURN
-            END IF
-            LZA = INT( ZWORK( IZWRK+1 ) )
-            LZAMAX = MAX( LZA, LZAMAX )
-            DETF = CONE
-            DO 560 I = 1, N
-               DETF = DETF*ZWORK( IZ16+I )
-  560       CONTINUE
-C
-C           Compute Finv.
-C
-            CALL ZGETRF( N, N, ZWORK( IZ17+1 ), N, IWORK, INFO2 )
-            IF( INFO2.GT.0 ) THEN
-               INFO = 5
-               RETURN
-            END IF
-            CALL ZGETRI( N, ZWORK( IZ17+1 ), N, IWORK, ZWORK( IZWRK+1 ),
-     $                   LDWORK-IWRK, INFO2 )
-            LZA = INT( ZWORK( IZWRK+1 ) )
-            LZAMAX = MAX( LZA, LZAMAX )
-C
-C           Compute phi.
-C
-            DO 570 I = 1, M-1
-               DWORK( IW25+I ) = DWORK( IW22+I ) - BETA
-               DWORK( IW25+M-1+I ) = ALPHA - DWORK( IW22+I )
-  570       CONTINUE
-            IF( MR.GT.0 ) THEN
-               DO 580 I = 1, MR
-                  DWORK( IW25+2*(M-1)+I ) = DWORK( IW23+I ) + TAU
-                  DWORK( IW25+2*(M-1)+MR+I ) = TAU - DWORK( IW23+I )
-  580          CONTINUE
-            END IF
-            PROD = ONE
-            DO 590 I = 1, 2*MT
-               PROD = PROD*DWORK( IW25+I )
-  590       CONTINUE
-            TEMP = DREAL( DETF )
-            IF( TEMP.LT.EPS ) TEMP = EPS
-            PHI = -LOG( TEMP ) - LOG( PROD )
-C
-C           Compute g.
-C
-            DO 610 J = 1, MT
-               DO 600 I = 1, N*N
-                  ZWORK( IZ18+I+(J-1)*N*N ) = DCMPLX( DLAMBD*
-     $            DWORK( IW9+I+(J-1)*N*N ) ) - ZWORK( IZ6+I+(J-1)*N*N )
-  600          CONTINUE
-  610       CONTINUE
-            CALL ZGEMV( 'C', N*N, MT, CONE, ZWORK( IZ18+1 ), N*N,
-     $                  ZWORK( IZ17+1 ), 1, CZERO, ZWORK( IZ19+1 ), 1 )
-            DO 620 I = 1, M-1
-               DWORK( IW26+I ) = ONE / ( DWORK( IW22+I ) - BETA ) -
-     $                           ONE / ( ALPHA - DWORK( IW22+I ) )
-  620       CONTINUE
-            IF( MR.GT.0 ) THEN
-               DO 630 I = 1, MR
-                  DWORK( IW26+M-1+I ) = ONE / ( DWORK( IW23+I ) + TAU )
-     $                                 -ONE / ( TAU - DWORK( IW23+I ) )
-  630          CONTINUE
-            END IF
-            DO 640 I = 1, MT
-               DWORK( IW26+I ) = -DREAL( ZWORK( IZ19+I ) ) -
-     $                                                   DWORK( IW26+I )
-  640       CONTINUE
-C
-C           Compute h.
-C
-            CALL DLACPY( 'Full', MT, MT, DWORK( IW11+1 ), MT,
-     $                   DWORK( IW31+1 ), MT )
-            CALL DCOPY( MT, DWORK( IW26+1 ), 1, DWORK( IW27+1 ), 1 )
-            CALL DSYSV( 'U', MT, 1, DWORK( IW31+1 ), MT, IWORK,
-     $                  DWORK( IW27+1 ), MT, DWORK( IWRK+1 ),
-     $                  LDWORK-IWRK, INFO2 )
-            IF( INFO2.GT.0 ) THEN
-               INFO = 5
-               RETURN
-            END IF
-            LWA = INT( DWORK( IWRK+1 ) )
-            LWAMAX = MAX( LWA, LWAMAX )
-            STSIZE = ONE
-C
-C           Store hD.
-C
-            CALL DCOPY( M-1, DWORK( IW27+1 ), 1, DWORK( IW28+1 ), 1 )
-C
-C           Determine stepsize.
-C
-            L = 0
-            DO 650 I = 1, M-1
-               IF( DWORK( IW28+I ).GT.ZERO ) THEN
-                  L = L + 1
-                  IF( L.EQ.1 ) THEN
-                     TEMP = ( DWORK( IW22+I ) - BETA ) / DWORK( IW28+I )
-                  ELSE
-                     TEMP = MIN( TEMP, ( DWORK( IW22+I ) - BETA ) /
-     $                                   DWORK( IW28+I ) )
-                  END IF
-               END IF
-  650       CONTINUE
-            IF( L.GT.0 ) STSIZE = MIN( STSIZE, TEMP )
-            L = 0
-            DO 660 I = 1, M-1
-               IF( DWORK( IW28+I ).LT.ZERO ) THEN
-                  L = L + 1
-                  IF( L.EQ.1 ) THEN
-                     TEMP = ( ALPHA - DWORK( IW22+I ) ) /
-     $                      ( -DWORK( IW28+I ) )
-                  ELSE
-                     TEMP = MIN( TEMP, ( ALPHA - DWORK( IW22+I ) ) /
-     $                                 ( -DWORK( IW28+I ) ) )
-                  END IF
-               END IF
-  660       CONTINUE
-            IF( L.GT.0 ) STSIZE = MIN( STSIZE, TEMP )
-            IF( MR.GT.0 ) THEN
-C
-C              Store hG.
-C
-               CALL DCOPY( MR, DWORK( IW27+M ), 1, DWORK( IW29+1 ), 1 )
-C
-C              Determine stepsize.
-C
-               L = 0
-               DO 670 I = 1, MR
-                  IF( DWORK( IW29+I ).GT.ZERO ) THEN
-                     L = L + 1
-                     IF( L.EQ.1 ) THEN
-                        TEMP = ( DWORK( IW23+I ) + TAU ) /
-     $                           DWORK( IW29+I )
-                     ELSE
-                        TEMP = MIN( TEMP, ( DWORK( IW23+I ) + TAU ) /
-     $                                      DWORK( IW29+I ) )
-                     END IF
-                  END IF
-  670          CONTINUE
-               IF( L.GT.0 ) STSIZE = MIN( STSIZE, TEMP )
-               L = 0
-               DO 680 I = 1, MR
-                  IF( DWORK( IW29+I ).LT.ZERO ) THEN
-                     L = L + 1
-                     IF( L.EQ.1 ) THEN
-                        TEMP = ( TAU - DWORK( IW23+I ) ) /
-     $                         ( -DWORK( IW29+I ) )
-                     ELSE
-                        TEMP = MIN( TEMP, ( TAU - DWORK( IW23+I ) ) /
-     $                                    ( -DWORK( IW29+I ) ) )
-                     END IF
-                  END IF
-  680          CONTINUE
-            END IF
-            IF( L.GT.0 ) STSIZE = MIN( STSIZE, TEMP )
-            STSIZE = C4*STSIZE
-            IF( STSIZE.GE.TOL4 ) THEN
-C
-C              Compute x_new.
-C
-               DO 700 I = 1, MT
-                  DWORK( IW20+I ) = X( I ) - STSIZE*DWORK( IW27+I )
-  700          CONTINUE
-C
-C              Store xD.
-C
-               CALL DCOPY( M-1, DWORK( IW20+1 ), 1, DWORK( IW22+1 ), 1 )
-               IF( MR.GT.0 ) THEN
-C
-C                 Store xG.
-C
-                  CALL DCOPY( MR, DWORK( IW20+M ), 1, DWORK( IW23+1 ),
-     $                        1 )
-               END IF
-C
-C              Compute A(:) = A0 + AA*x_new.
-C
-               DO 710 I = 1, MT
-                  ZWORK( IZ10+I ) = DCMPLX( DWORK( IW20+I ) )
-  710          CONTINUE
-               CALL ZCOPY( N*N, ZWORK( IZ5+1 ), 1, ZWORK( IZ7+1 ), 1 )
-               CALL ZGEMV( 'N', N*N, MT, CONE, ZWORK( IZ6+1 ), N*N,
-     $                     ZWORK( IZ10+1 ), 1, CONE, ZWORK( IZ7+1 ), 1 )
-C
-C              Compute B = B0d + BBd*xD.
-C
-               CALL DCOPY( N, DWORK( IW7+1 ), 1, DWORK( IW24+1 ), 1 )
-               CALL DGEMV( 'N', N, M-1, ONE, DWORK( IW8+1 ), N,
-     $                     DWORK( IW22+1 ), 1, ONE, DWORK( IW24+1 ), 1 )
-C
-C              Compute lambda*diag(B) - A.
-C
-               DO 730 J = 1, N
-                  DO 720 I = 1, N
-                     IF( I.EQ.J ) THEN
-                        ZWORK( IZ15+I+(I-1)*N ) = DCMPLX( DLAMBD*
-     $                       DWORK( IW24+I ) ) - ZWORK( IZ7+I+(I-1)*N )
-                     ELSE
-                        ZWORK( IZ15+I+(J-1)*N ) =
-     $                                          -ZWORK( IZ7+I+(J-1)*N )
-                     END IF
-  720             CONTINUE
-  730          CONTINUE
-C
-C              Compute eig( lambda*diag(B)-A ).
-C
-               CALL ZGEES( 'N', 'N', SELECT, N, ZWORK( IZ15+1 ), N,
-     $                     SDIM, ZWORK( IZ16+1 ), ZWORK, N,
-     $                     ZWORK( IZWRK+1 ), LZWORK-IZWRK,
-     $                     DWORK( IWRK+1 ), BWORK, INFO2 )
-               IF( INFO2.GT.0 ) THEN
-                  INFO = 6
-                  RETURN
-               END IF
-               LZA = INT( ZWORK( IZWRK+1 ) )
-               LZAMAX = MAX( LZA, LZAMAX )
-               EMIN = DREAL( ZWORK( IZ16+1 ) )
-               IF( N.GT.1 ) THEN
-                  DO 740 I = 2, N
-                     IF( DREAL( ZWORK( IZ16+I ) ).LT.EMIN )
-     $                  EMIN = DREAL( ZWORK( IZ16+I ) )
-  740             CONTINUE
-               END IF
-               DO 750 I = 1, N
-                  DWORK( IW30+I ) = DREAL( ZWORK( IZ16+I ) )
-  750          CONTINUE
-               DO 760 I = 1, M-1
-                  DWORK( IW30+N+I ) = DWORK( IW22+I ) - BETA
-                  DWORK( IW30+N+M-1+I ) = ALPHA - DWORK( IW22+I )
-  760          CONTINUE
-               IF( MR.GT.0 ) THEN
-                  DO 770 I = 1, MR
-                     DWORK( IW30+N+2*(M-1)+I ) = DWORK( IW23+I ) + TAU
-                     DWORK( IW30+N+2*(M-1)+MR+I ) = TAU -
-     $                      DWORK( IW23+I )
-  770             CONTINUE
-               END IF
-               PROD = ONE
-               DO 780 I = 1, N+2*MT
-                  PROD = PROD*DWORK( IW30+I )
-  780          CONTINUE
-               IF( EMIN.LE.ZERO .OR. ( -LOG( PROD ) ).GE.PHI ) THEN
-                  STSIZE = STSIZE / TEN
-               ELSE
-                  CALL DCOPY( MT, DWORK( IW20+1 ), 1, X, 1 )
-               END IF
-            END IF
-            IF( STSIZE.LT.TOL4 ) GO TO 810
-  800    CONTINUE
-C
-  810    CONTINUE
-C
-C           Store xD.
-C
-            CALL DCOPY( M-1, X, 1, DWORK( IW22+1 ), 1 )
-            IF( MR.GT.0 ) THEN
-C
-C              Store xG.
-C
-               CALL DCOPY( MR, X( M ), 1, DWORK( IW23+1 ), 1 )
-            END IF
-C
-C           Compute A(:) = A0 + AA*x.
-C
-            DO 820 I = 1, MT
-               ZWORK( IZ10+I ) = DCMPLX( X( I ) )
-  820       CONTINUE
-            CALL ZCOPY( N*N, ZWORK( IZ5+1 ), 1, ZWORK( IZ7+1 ), 1 )
-            CALL ZGEMV( 'N', N*N, MT, CONE, ZWORK( IZ6+1 ), N*N,
-     $                  ZWORK( IZ10+1 ), 1, CONE, ZWORK( IZ7+1 ), 1 )
-C
-C           Compute diag( B ) = B0d + BBd*xD.
-C
-            CALL DCOPY( N, DWORK( IW7+1 ), 1, DWORK( IW24+1 ), 1 )
-            CALL DGEMV( 'N', N, M-1, ONE, DWORK( IW8+1 ), N,
-     $                  DWORK( IW22+1 ), 1, ONE, DWORK( IW24+1 ), 1 )
-C
-C           Compute F.
-C
-            DO 840 J = 1, N
-               DO 830 I = 1, N
-                  IF( I.EQ.J ) THEN
-                     ZWORK( IZ15+I+(I-1)*N ) = DCMPLX( DLAMBD*
-     $                      DWORK( IW24+I ) ) - ZWORK( IZ7+I+(I-1)*N )
-                  ELSE
-                     ZWORK( IZ15+I+(J-1)*N ) = -ZWORK( IZ7+I+(J-1)*N )
-                  END IF
-  830          CONTINUE
-  840       CONTINUE
-            CALL ZLACPY( 'Full', N, N, ZWORK( IZ15+1 ), N,
-     $                   ZWORK( IZ17+1 ), N )
-C
-C           Compute det( F ).
-C
-            CALL ZGEES( 'N', 'N', SELECT, N, ZWORK( IZ15+1 ), N, SDIM,
-     $                  ZWORK( IZ16+1 ), ZWORK, N, ZWORK( IZWRK+1 ),
-     $                  LZWORK-IZWRK, DWORK( IWRK+1 ), BWORK, INFO2 )
-            IF( INFO2.GT.0 ) THEN
-               INFO = 6
-               RETURN
-            END IF
-            LZA = INT( ZWORK( IZWRK+1 ) )
-            LZAMAX = MAX( LZA, LZAMAX )
-            DETF = CONE
-            DO 850 I = 1, N
-               DETF = DETF*ZWORK( IZ16+I )
-  850       CONTINUE
-C
-C           Compute Finv.
-C
-            CALL ZGETRF( N, N, ZWORK( IZ17+1 ), N, IWORK, INFO2 )
-            IF( INFO2.GT.0 ) THEN
-               INFO = 5
-               RETURN
-            END IF
-            CALL ZGETRI( N, ZWORK( IZ17+1 ), N, IWORK, ZWORK( IZWRK+1 ),
-     $                   LDWORK-IWRK, INFO2 )
-            LZA = INT( ZWORK( IZWRK+1 ) )
-            LZAMAX = MAX( LZA, LZAMAX )
-C
-C           Compute the barrier function.
-C
-            DO 860 I = 1, M-1
-               DWORK( IW25+I ) = DWORK( IW22+I ) - BETA
-               DWORK( IW25+M-1+I ) = ALPHA - DWORK( IW22+I )
-  860       CONTINUE
-            IF( MR.GT.0 ) THEN
-               DO 870 I = 1, MR
-                  DWORK( IW25+2*(M-1)+I ) = DWORK( IW23+I ) + TAU
-                  DWORK( IW25+2*(M-1)+MR+I ) = TAU - DWORK( IW23+I )
-  870          CONTINUE
-            END IF
-            PROD = ONE
-            DO 880 I = 1, 2*MT
-               PROD = PROD*DWORK( IW25+I )
-  880       CONTINUE
-            TEMP = DREAL( DETF )
-            IF( TEMP.LT.EPS ) TEMP = EPS
-            PHI = -LOG( TEMP ) - LOG( PROD )
-C
-C           Compute the gradient of the barrier function.
-C
-            DO 900 J = 1, MT
-               DO 890 I = 1, N*N
-                  ZWORK( IZ18+I+(J-1)*N*N ) = DCMPLX( DLAMBD*
-     $            DWORK(  IW9+I+(J-1)*N*N ) ) - ZWORK( IZ6+I+(J-1)*N*N )
-  890          CONTINUE
-  900       CONTINUE
-            CALL ZGEMV( 'C', N*N, MT, CONE, ZWORK( IZ18+1 ), N*N,
-     $                  ZWORK( IZ17+1 ), 1, CZERO, ZWORK( IZ19+1 ), 1 )
-            DO 910 I = 1, M-1
-               DWORK( IW26+I ) = ONE / ( DWORK( IW22+I ) - BETA ) -
-     $                           ONE / ( ALPHA - DWORK( IW22+I ) )
-  910       CONTINUE
-            IF( MR.GT.0 ) THEN
-               DO 920 I = 1, MR
-                  DWORK( IW26+M-1+I ) = ONE / ( DWORK( IW23+I ) + TAU )
-     $                                 -ONE / ( TAU - DWORK( IW23+I ) )
-  920          CONTINUE
-            END IF
-            DO 925 I = 1, MT
-               DWORK( IW26+I ) = -DREAL( ZWORK( IZ19+I ) ) -
-     $                                                 DWORK( IW26+I )
-  925       CONTINUE
-C
-C           Compute the Hessian of the barrier function.
-C
-            CALL ZGEMM( 'N', 'N', N, N*MT, N, CONE, ZWORK( IZ17+1 ), N,
-     $                  ZWORK( IZ18+1 ), N, CZERO, ZWORK( IZ20+1 ), N )
-
-            CALL  DLASET( 'Full', MT, MT, ZERO, ZERO, DWORK( IW11+1 ),
-     $                    MT )
-            DO 960 K = 1, MT
-               CALL ZCOPY( N*N, ZWORK( IZ20+1+(K-1)*N*N ), 1,
-     $                          ZWORK( IZ22+1 ), 1 )
-               DO 940 J = 1, N
-                  DO 930 I = 1, N
-                     ZWORK( IZ23+I+(J-1)*N ) =
-     $                              DCONJG( ZWORK( IZ22+J+(I-1)*N ) )
-  930             CONTINUE
-  940          CONTINUE
-               CALL ZGEMV( 'C', N*N, K, CONE, ZWORK( IZ20+1 ), N*N,
-     $                     ZWORK( IZ23+1 ), 1, CZERO, ZWORK( IZ24+1 ),
-     $                     1 )
-               DO 950 J = 1, K
-                  DWORK( IW11+K+(J-1)*MT ) =
-     $                               DREAL( DCONJG( ZWORK( IZ24+J ) ) )
-  950          CONTINUE
-  960       CONTINUE
-            DO 970 I = 1, M-1
-               DWORK( IW10+I ) = ONE / ( DWORK( IW22+I ) - BETA )**2 +
-     $                           ONE / ( ALPHA - DWORK( IW22+I ) )**2
-  970       CONTINUE
-            IF( MR.GT.0 ) THEN
-               DO 980 I = 1, MR
-                  DWORK( IW10+M-1+I ) =
-     $                           ONE / ( DWORK( IW23+I ) + TAU )**2 +
-     $                           ONE / ( TAU - DWORK( IW23+I ) )**2
-  980          CONTINUE
-            END IF
-            DO 990 I = 1, MT
-               DWORK( IW11+I+(I-1)*MT ) = DWORK( IW11+I+(I-1)*MT ) +
-     $                                    DWORK( IW10+I )
-  990       CONTINUE
-            DO 1100 J = 1, MT
-               DO 1000 I = 1, J
-                  IF( I.NE.J ) THEN
-                     T1 = DWORK( IW11+I+(J-1)*MT )
-                     T2 = DWORK( IW11+J+(I-1)*MT )
-                     DWORK( IW11+I+(J-1)*MT ) = T1 + T2
-                     DWORK( IW11+J+(I-1)*MT ) = T1 + T2
-                  END IF
- 1000          CONTINUE
- 1100       CONTINUE
-C
-C           Compute norm( H ).
-C
- 1110       HNORM = DLANGE( 'F', MT, MT, DWORK( IW11+1 ), MT, DWORK )
-C
-C           Compute rcond( H ).
-C
-            CALL DLACPY( 'Full', MT, MT, DWORK( IW11+1 ), MT,
-     $                   DWORK( IW31+1 ), MT )
-            HNORM1 = DLANGE( '1', MT, MT, DWORK( IW31+1 ), MT, DWORK )
-            CALL DSYTRF( 'U', MT, DWORK( IW31+1 ), MT, IWORK,
-     $                   DWORK( IWRK+1 ), LDWORK-IWRK, INFO2 )
-            IF( INFO2.GT.0 ) THEN
-               INFO = 5
-               RETURN
-            END IF
-            LWA = INT( DWORK( IWRK+1 ) )
-            LWAMAX = MAX( LWA, LWAMAX )
-            CALL DSYCON( 'U', MT, DWORK( IW31+1 ), MT, IWORK, HNORM1,
-     $                  RCOND, DWORK( IWRK+1 ), IWORK( MT+1 ), INFO2 )
-            IF( RCOND.LT.TOL3 ) THEN
-               DO 1120 I = 1, MT
-                  DWORK( IW11+I+(I-1)*MT ) = DWORK( IW11+I+(I-1)*MT ) +
-     $                                       HNORM*REGPAR
- 1120          CONTINUE
-               GO TO 1110
-            END IF
-C
-C           Compute the tangent line to path of center.
-C
-            CALL DCOPY( MT, DWORK( IW26+1 ), 1, DWORK( IW27+1 ), 1 )
-            CALL DSYTRS( 'U', MT, 1, DWORK( IW31+1 ), MT, IWORK,
-     $                   DWORK( IW27+1 ), MT, INFO2 )
-C
-C           Check if x-h satisfies the Goldstein test.
-C
-            GTEST = .FALSE.
-            DO 1130 I = 1, MT
-               DWORK( IW20+I ) = X( I ) - DWORK( IW27+I )
- 1130       CONTINUE
-C
-C           Store xD.
-C
-            CALL DCOPY( M-1, DWORK( IW20+1 ), 1, DWORK( IW22+1 ), 1 )
-            IF( MR.GT.0 ) THEN
-C
-C              Store xG.
-C
-               CALL DCOPY( MR, DWORK( IW20+M ), 1, DWORK( IW23+1 ), 1 )
-            END IF
-C
-C           Compute A(:) = A0 + AA*x_new.
-C
-            DO 1140 I = 1, MT
-               ZWORK( IZ10+I ) = DCMPLX( DWORK( IW20+I ) )
- 1140       CONTINUE
-            CALL ZCOPY( N*N, ZWORK( IZ5+1 ), 1, ZWORK( IZ7+1 ), 1 )
-            CALL ZGEMV( 'N', N*N, MT, CONE, ZWORK( IZ6+1 ), N*N,
-     $                  ZWORK( IZ10+1 ), 1, CONE, ZWORK( IZ7+1 ), 1 )
-C
-C           Compute diag( B ) = B0d + BBd*xD.
-C
-            CALL DCOPY( N, DWORK( IW7+1 ), 1, DWORK( IW24+1 ), 1 )
-            CALL DGEMV( 'N', N, M-1, ONE, DWORK( IW8+1 ), N,
-     $                  DWORK( IW22+1 ), 1, ONE, DWORK( IW24+1 ), 1 )
-C
-C           Compute lambda*diag(B) - A.
-C
-            DO 1160 J = 1, N
-               DO 1150 I = 1, N
-                  IF( I.EQ.J ) THEN
-                     ZWORK( IZ15+I+(I-1)*N ) = DCMPLX( DLAMBD*
-     $                     DWORK( IW24+I ) ) - ZWORK( IZ7+I+(I-1)*N )
-                  ELSE
-                     ZWORK( IZ15+I+(J-1)*N ) = -ZWORK( IZ7+I+(J-1)*N )
-                  END IF
- 1150          CONTINUE
- 1160       CONTINUE
-C
-C           Compute eig( lambda*diag(B)-A ).
-C
-            CALL ZGEES( 'N', 'N', SELECT, N, ZWORK( IZ15+1 ), N, SDIM,
-     $                  ZWORK( IZ16+1 ), ZWORK, N, ZWORK( IZWRK+1 ),
-     $                  LZWORK-IZWRK, DWORK( IWRK+1 ), BWORK, INFO2 )
-            IF( INFO2.GT.0 ) THEN
-               INFO = 6
-               RETURN
-            END IF
-            LZA = INT( ZWORK( IZWRK+1 ) )
-            LZAMAX = MAX( LZA, LZAMAX )
-            DO 1190 I = 1, N
-               DWORK( IW30+I ) = DREAL( ZWORK( IZ16+I ) )
- 1190       CONTINUE
-            DO 1200 I = 1, M-1
-               DWORK( IW30+N+I ) = DWORK( IW22+I ) - BETA
-               DWORK( IW30+N+M-1+I ) = ALPHA - DWORK( IW22+I )
- 1200       CONTINUE
-            IF( MR.GT.0 ) THEN
-               DO 1210 I = 1, MR
-                  DWORK( IW30+N+2*(M-1)+I ) = DWORK( IW23+I ) + TAU
-                  DWORK( IW30+N+2*(M-1)+MR+I ) = TAU - DWORK( IW23+I )
- 1210          CONTINUE
-            END IF
-            EMIN = DWORK( IW30+1 )
-            DO 1220 I = 1, N+2*MT
-               IF( DWORK( IW30+I ).LT.EMIN ) EMIN = DWORK( IW30+I )
- 1220       CONTINUE
-            IF( EMIN.LE.ZERO ) THEN
-               GTEST = .FALSE.
-            ELSE
-               PP = DDOT( MT, DWORK( IW26+1 ), 1, DWORK( IW27+1 ), 1 )
-               PROD = ONE
-               DO 1230 I = 1, N+2*MT
-                  PROD = PROD*DWORK( IW30+I )
- 1230          CONTINUE
-               T1 = -LOG( PROD )
-               T2 = PHI - C2*PP
-               T3 = PHI - C4*PP
-               IF( T1.GE.T3 .AND. T1.LT.T2 ) GTEST = .TRUE.
-            END IF
-C
-C           Use x-h if Goldstein test is satisfied. Otherwise use
-C           Nesterov-Nemirovsky's stepsize length.
-C
-            PP = DDOT( MT, DWORK( IW26+1 ), 1, DWORK( IW27+1 ), 1 )
-            DELTA = SQRT( PP )
-            IF( GTEST .OR. DELTA.LE.C3 ) THEN
-               DO 1240 I = 1, MT
-                  X( I ) = X( I ) - DWORK( IW27+I )
- 1240          CONTINUE
-            ELSE
-               DO 1250 I = 1, MT
-                  X( I ) = X( I ) - DWORK( IW27+I ) / ( ONE + DELTA )
- 1250          CONTINUE
-            END IF
-C
-C           Analytic center is found if delta is sufficiently small.
-C
-            IF( DELTA.LT.TOL5 ) GO TO 1260
-         GO TO 810
-C
-C        Set yf.
-C
- 1260    DWORK( IW14+1 ) = DLAMBD
-         CALL DCOPY( MT, X, 1, DWORK( IW14+2 ), 1 )
-C
-C        Set yw.
-C
-         CALL DCOPY( MT+1, DWORK( IW14+1 ), 1, DWORK( IW15+1 ), 1 )
-C
-C        Compute Fb.
-C
-         DO 1280 J = 1, N
-            DO 1270 I = 1, N
-               ZWORK( IZ21+I+(J-1)*N ) = DCMPLX( DWORK( IW24+I ) )*
-     $                                 DCONJG( ZWORK( IZ17+J+(I-1)*N ) )
- 1270       CONTINUE
- 1280    CONTINUE
-         CALL ZGEMV( 'C', N*N, MT, CONE, ZWORK( IZ20+1 ), N*N,
-     $               ZWORK( IZ21+1 ), 1, CZERO, ZWORK( IZ24+1 ), 1 )
-         DO 1300 I = 1, MT
-            DWORK( IW32+I ) = DREAL( ZWORK( IZ24+I ) )
- 1300    CONTINUE
-C
-C        Compute h1.
-C
-         CALL DLACPY( 'Full', MT, MT, DWORK( IW11+1 ), MT,
-     $                DWORK( IW31+1 ), MT )
-         CALL DSYSV( 'U', MT, 1, DWORK( IW31+1 ), MT, IWORK,
-     $               DWORK( IW32+1 ), MT, DWORK( IWRK+1 ),
-     $               LDWORK-IWRK, INFO2 )
-         IF( INFO2.GT.0 ) THEN
-            INFO = 5
-            RETURN
-         END IF
-         LWA = INT( DWORK( IWRK+1 ) )
-         LWAMAX = MAX( LWA, LWAMAX )
-C
-C        Compute hn.
-C
-         HN = DLANGE( 'F', MT, 1, DWORK( IW32+1 ), MT, DWORK )
-C
-C        Compute y.
-C
-         DWORK( IW13+1 ) = DLAMBD - C / HN
-         DO 1310 I = 1, MT
-            DWORK( IW13+1+I ) = X( I ) + C*DWORK( IW32+I ) / HN
- 1310    CONTINUE
-C
-C        Store xD.
-C
-         CALL DCOPY( M-1, DWORK( IW13+2 ), 1, DWORK( IW22+1 ), 1 )
-         IF( MR.GT.0 ) THEN
-C
-C           Store xG.
-C
-            CALL DCOPY( MR, DWORK( IW13+M+1 ), 1, DWORK( IW23+1 ), 1 )
-         END IF
-C
-C        Compute A(:) = A0 + AA*y(2:mt+1).
-C
-         DO 1320 I = 1, MT
-            ZWORK( IZ10+I ) = DCMPLX( DWORK( IW13+1+I ) )
- 1320    CONTINUE
-         CALL ZCOPY( N*N, ZWORK( IZ5+1 ), 1, ZWORK( IZ7+1 ), 1 )
-         CALL ZGEMV( 'N', N*N, MT, CONE, ZWORK( IZ6+1 ), N*N,
-     $               ZWORK( IZ10+1 ), 1, CONE, ZWORK( IZ7+1 ), 1 )
-C
-C        Compute B = B0d + BBd*xD.
-C
-         CALL DCOPY( N, DWORK( IW7+1 ), 1, DWORK( IW24+1 ), 1 )
-         CALL DGEMV( 'N', N, M-1, ONE, DWORK( IW8+1 ), N,
-     $               DWORK( IW22+1 ), 1, ONE, DWORK( IW24+1 ), 1 )
-C
-C        Compute y(1)*diag(B) - A.
-C
-         DO 1340 J = 1, N
-            DO 1330 I = 1, N
-               IF( I.EQ.J ) THEN
-                  ZWORK( IZ15+I+(I-1)*N ) = DCMPLX( DWORK( IW13+1 )*
-     $                   DWORK( IW24+I ) ) - ZWORK( IZ7+I+(I-1)*N )
-               ELSE
-                  ZWORK( IZ15+I+(J-1)*N ) = -ZWORK( IZ7+I+(J-1)*N )
-               END IF
- 1330       CONTINUE
- 1340    CONTINUE
-C
-C        Compute eig( y(1)*diag(B)-A ).
-C
-         CALL ZGEES( 'N', 'N', SELECT, N, ZWORK( IZ15+1 ), N, SDIM,
-     $               ZWORK( IZ16+1 ), ZWORK, N, ZWORK( IZWRK+1 ),
-     $               LZWORK-IZWRK, DWORK( IWRK+1 ), BWORK, INFO2 )
-         IF( INFO2.GT.0 ) THEN
-            INFO = 6
-            RETURN
-         END IF
-         LZA = INT( ZWORK( IZWRK+1 ) )
-         LZAMAX = MAX( LZA, LZAMAX )
-         EMIN = DREAL( ZWORK( IZ16+1 ) )
-         IF( N.GT.1 ) THEN
-            DO 1350 I = 2, N
-               IF( DREAL( ZWORK( IZ16+I ) ).LT.EMIN )
-     $            EMIN = DREAL( ZWORK( IZ16+I ) )
- 1350       CONTINUE
-         END IF
-         POS = .TRUE.
-         DO 1360 I = 1, M-1
-            DWORK( IW25+I ) = DWORK( IW22+I ) - BETA
-            DWORK( IW25+M-1+I ) = ALPHA - DWORK( IW22+I )
- 1360    CONTINUE
-         IF( MR.GT.0 ) THEN
-            DO 1370 I = 1, MR
-               DWORK( IW25+2*(M-1)+I ) = DWORK( IW23+I ) + TAU
-               DWORK( IW25+2*(M-1)+MR+I ) = TAU - DWORK( IW23+I )
- 1370       CONTINUE
-         END IF
-         TEMP = DWORK( IW25+1 )
-         DO 1380 I = 2, 2*MT
-            IF( DWORK( IW25+I ).LT.TEMP ) TEMP = DWORK( IW25+I )
- 1380    CONTINUE
-         IF( TEMP.LE.ZERO .OR. EMIN.LE.ZERO ) POS = .FALSE.
- 1390    IF( POS ) THEN
-C
-C           Set y2 = y.
-C
-            CALL DCOPY( MT+1, DWORK( IW13+1 ), 1, DWORK( IW17+1 ), 1 )
-C
-C           Compute y = y + 1.5*( y - yw ).
-C
-            DO 1400 I = 1, MT+1
-               DWORK( IW13+I ) = DWORK( IW13+I ) +
-     $                 C5*( DWORK( IW13+I ) - DWORK( IW15+I ) )
- 1400       CONTINUE
-C
-C           Store xD.
-C
-            CALL DCOPY( M-1, DWORK( IW13+2 ), 1, DWORK( IW22+1 ), 1 )
-            IF( MR.GT.0 ) THEN
-C
-C              Store xG.
-C
-               CALL DCOPY( MR, DWORK( IW13+M+1 ), 1,
-     $                                            DWORK( IW23+1 ), 1 )
-            END IF
-C
-C           Compute A(:) = A0 + AA*y(2:mt+1).
-C
-            DO 1420 I = 1, MT
-               ZWORK( IZ10+I ) = DCMPLX( DWORK( IW13+1+I ) )
- 1420       CONTINUE
-            CALL ZCOPY( N*N, ZWORK( IZ5+1 ), 1, ZWORK( IZ7+1 ), 1 )
-            CALL ZGEMV( 'N', N*N, MT, CONE, ZWORK( IZ6+1 ), N*N,
-     $                  ZWORK( IZ10+1 ), 1, CONE, ZWORK( IZ7+1 ), 1 )
-C
-C           Compute diag( B ) = B0d + BBd*xD.
-C
-            CALL DCOPY( N, DWORK( IW7+1 ), 1, DWORK( IW24+1 ), 1 )
-            CALL DGEMV( 'N', N, M-1, ONE, DWORK( IW8+1 ), N,
-     $                  DWORK( IW22+1 ), 1, ONE, DWORK( IW24+1 ), 1 )
-C
-C           Set yw = y2.
-C
-            CALL DCOPY( MT+1, DWORK( IW17+1 ), 1, DWORK( IW15+1 ), 1 )
-C
-C           Compute y(1)*diag(B) - A.
-C
-            DO 1440 J = 1, N
-               DO 1430 I = 1, N
-                  IF( I.EQ.J ) THEN
-                     ZWORK( IZ15+I+(I-1)*N ) = DCMPLX( DWORK( IW13+1 )*
-     $                      DWORK( IW24+I ) ) - ZWORK( IZ7+I+(I-1)*N )
-                  ELSE
-                     ZWORK( IZ15+I+(J-1)*N ) = -ZWORK( IZ7+I+(J-1)*N )
-                  END IF
- 1430          CONTINUE
- 1440       CONTINUE
-C
-C           Compute eig( y(1)*diag(B)-A ).
-C
-            CALL ZGEES( 'N', 'N', SELECT, N, ZWORK( IZ15+1 ), N, SDIM,
-     $                  ZWORK( IZ16+1 ), ZWORK, N, ZWORK( IZWRK+1 ),
-     $                  LZWORK-IZWRK, DWORK( IWRK+1 ), BWORK, INFO2 )
-            IF( INFO2.GT.0 ) THEN
-               INFO = 6
-               RETURN
-            END IF
-            LZA = INT( ZWORK( IZWRK+1 ) )
-            LZAMAX = MAX( LZA, LZAMAX )
-            EMIN = DREAL( ZWORK( IZ16+1 ) )
-            IF( N.GT.1 ) THEN
-               DO 1450 I = 2, N
-                  IF( DREAL( ZWORK( IZ16+I ) ).LT.EMIN )
-     $               EMIN = DREAL( ZWORK( IZ16+I ) )
- 1450          CONTINUE
-            END IF
-            POS = .TRUE.
-            DO 1460 I = 1, M-1
-               DWORK( IW25+I ) = DWORK( IW22+I ) - BETA
-               DWORK( IW25+M-1+I ) = ALPHA - DWORK( IW22+I )
- 1460       CONTINUE
-            IF( MR.GT.0 ) THEN
-               DO 1470 I = 1, MR
-                  DWORK( IW25+2*(M-1)+I ) = DWORK( IW23+I ) + TAU
-                  DWORK( IW25+2*(M-1)+MR+I ) = TAU - DWORK( IW23+I )
- 1470          CONTINUE
-            END IF
-            TEMP = DWORK( IW25+1 )
-            DO 1480 I = 2, 2*MT
-               IF( DWORK( IW25+I ).LT.TEMP ) TEMP = DWORK( IW25+I )
- 1480       CONTINUE
-            IF( TEMP.LE.ZERO .OR. EMIN.LE.ZERO ) POS = .FALSE.
-            GO TO 1390
-         END IF
- 1490    CONTINUE
-C
-C        Set y1 = ( y + yw ) / 2.
-C
-         DO 1500 I = 1, MT+1
-            DWORK( IW16+I ) = ( DWORK( IW13+I ) + DWORK( IW15+I ) )
-     $                         / TWO
- 1500    CONTINUE
-C
-C        Store xD.
-C
-         CALL DCOPY( M-1, DWORK( IW16+2 ), 1, DWORK( IW22+1 ), 1 )
-         IF( MR.GT.0 ) THEN
-C
-C           Store xG.
-C
-            CALL DCOPY( MR, DWORK( IW16+M+1 ), 1, DWORK( IW23+1 ), 1 )
-         END IF
-C
-C        Compute A(:) = A0 + AA*y1(2:mt+1).
-C
-         DO 1510 I = 1, MT
-            ZWORK( IZ10+I ) = DCMPLX( DWORK( IW16+1+I ) )
- 1510    CONTINUE
-         CALL ZCOPY( N*N, ZWORK( IZ5+1 ), 1, ZWORK( IZ7+1 ), 1 )
-         CALL ZGEMV( 'N', N*N, MT, CONE, ZWORK( IZ6+1 ), N*N,
-     $               ZWORK( IZ10+1 ), 1, CONE, ZWORK( IZ7+1 ), 1 )
-C
-C        Compute diag( B ) = B0d + BBd*xD.
-C
-         CALL DCOPY( N, DWORK( IW7+1 ), 1, DWORK( IW24+1 ), 1 )
-         CALL DGEMV( 'N', N, M-1, ONE, DWORK( IW8+1 ), N,
-     $               DWORK( IW22+1 ), 1, ONE, DWORK( IW24+1 ), 1 )
-C
-C        Compute y1(1)*diag(B) - A.
-C
-         DO 1530 J = 1, N
-            DO 1520 I = 1, N
-               IF( I.EQ.J ) THEN
-                  ZWORK( IZ15+I+(I-1)*N ) = DCMPLX( DWORK( IW16+1 )*
-     $                   DWORK( IW24+I ) ) - ZWORK( IZ7+I+(I-1)*N )
-               ELSE
-                  ZWORK( IZ15+I+(J-1)*N ) = -ZWORK( IZ7+I+(J-1)*N )
-               END IF
- 1520       CONTINUE
- 1530    CONTINUE
-C
-C        Compute eig( y1(1)*diag(B)-A ).
-C
-         CALL ZGEES( 'N', 'N', SELECT, N, ZWORK( IZ15+1 ), N, SDIM,
-     $               ZWORK( IZ16+1 ), ZWORK, N, ZWORK( IZWRK+1 ),
-     $               LZWORK-IZWRK, DWORK( IWRK+1 ), BWORK, INFO2 )
-         IF( INFO2.GT.0 ) THEN
-            INFO = 6
-            RETURN
-         END IF
-         LZA = INT( ZWORK( IZWRK+1 ) )
-         LZAMAX = MAX( LZA, LZAMAX )
-         EMIN = DREAL( ZWORK( IZ16+1 ) )
-         IF( N.GT.1 ) THEN
-            DO 1540 I = 2, N
-               IF( DREAL( ZWORK( IZ16+I ) ).LT.EMIN )
-     $            EMIN = DREAL( ZWORK( IZ16+I ) )
- 1540       CONTINUE
-         END IF
-         POS = .TRUE.
-         DO 1550 I = 1, M-1
-            DWORK( IW25+I ) = DWORK( IW22+I ) - BETA
-            DWORK( IW25+M-1+I ) = ALPHA - DWORK( IW22+I )
- 1550    CONTINUE
-         IF( MR.GT.0 ) THEN
-            DO 1560 I = 1, MR
-               DWORK( IW25+2*(M-1)+I ) = DWORK( IW23+I ) + TAU
-               DWORK( IW25+2*(M-1)+MR+I ) = TAU - DWORK( IW23+I )
- 1560       CONTINUE
-         END IF
-         TEMP = DWORK( IW25+1 )
-         DO 1570 I = 2, 2*MT
-            IF( DWORK( IW25+I ).LT.TEMP ) TEMP = DWORK( IW25+I )
- 1570    CONTINUE
-         IF( TEMP.LE.ZERO .OR. EMIN.LE.ZERO ) POS = .FALSE.
-         IF( POS ) THEN
-C
-C           Set yw = y1.
-C
-            CALL DCOPY( MT+1, DWORK( IW16+1 ), 1, DWORK( IW15+1 ), 1 )
-         ELSE
-C
-C           Set y = y1.
-C
-            CALL DCOPY( MT+1, DWORK( IW16+1 ), 1, DWORK( IW13+1 ), 1 )
-         END IF
-         DO 1580 I = 1, MT+1
-            DWORK( IW33+I ) = DWORK( IW13+I ) - DWORK( IW15+I )
- 1580    CONTINUE
-         YNORM1 = DLANGE( 'F', MT+1, 1, DWORK( IW33+1 ), MT+1, DWORK )
-         DO 1590 I = 1, MT+1
-            DWORK( IW33+I ) = DWORK( IW13+I ) - DWORK( IW14+I )
- 1590    CONTINUE
-         YNORM2 = DLANGE( 'F', MT+1, 1, DWORK( IW33+1 ), MT+1, DWORK )
-         IF( YNORM1.LT.YNORM2*THETA ) GO TO 1600
-         GO TO 1490
-C
-C        Compute c.
-C
- 1600    DO 1610 I = 1, MT+1
-            DWORK( IW33+I ) = DWORK( IW15+I ) - DWORK( IW14+I )
- 1610    CONTINUE
-         C = DLANGE( 'F', MT+1, 1, DWORK( IW33+1 ), MT+1, DWORK )
-C
-C        Set x = yw(2:mt+1).
-C
-         CALL DCOPY( MT, DWORK( IW15+2 ), 1, X, 1 )
-      GO TO 390
-C
-C *** Last line of AB13MD ***
-      END
--- a/extra/control-devel/devel/dksyn/DG01MD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,235 +0,0 @@
-      SUBROUTINE DG01MD( INDI, N, XR, XI, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To compute the discrete Fourier transform, or inverse transform,
-C     of a complex signal.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     INDI    CHARACTER*1
-C             Indicates whether a Fourier transform or inverse Fourier
-C             transform is to be performed as follows:
-C             = 'D':  (Direct) Fourier transform;
-C             = 'I':  Inverse Fourier transform.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The number of complex samples.  N must be a power of 2.
-C             N >= 2.
-C
-C     XR      (input/output) DOUBLE PRECISION array, dimension (N)
-C             On entry, this array must contain the real part of either
-C             the complex signal z if INDI = 'D', or f(z) if INDI = 'I'.
-C             On exit, this array contains either the real part of the
-C             computed Fourier transform f(z) if INDI = 'D', or the
-C             inverse Fourier transform z of f(z) if INDI = 'I'.
-C
-C     XI      (input/output) DOUBLE PRECISION array, dimension (N)
-C             On entry, this array must contain the imaginary part of
-C             either z if INDI = 'D', or f(z) if INDI = 'I'.
-C             On exit, this array contains either the imaginary part of
-C             f(z) if INDI = 'D', or z if INDI = 'I'.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value.
-C
-C     METHOD
-C
-C     If INDI = 'D', then the routine performs a discrete Fourier
-C     transform on the complex signal Z(i), i = 1,2,...,N. If the result
-C     is denoted by FZ(k), k = 1,2,...,N, then the relationship between
-C     Z and FZ is given by the formula:
-C
-C                     N            ((k-1)*(i-1))
-C            FZ(k) = SUM ( Z(i) * V              ),
-C                    i=1
-C                                     2
-C     where V = exp( -2*pi*j/N ) and j  = -1.
-C
-C     If INDI = 'I', then the routine performs an inverse discrete
-C     Fourier transform on the complex signal FZ(k), k = 1,2,...,N. If
-C     the result is denoted by Z(i), i = 1,2,...,N, then the
-C     relationship between Z and FZ is given by the formula:
-C
-C                    N             ((k-1)*(i-1))
-C            Z(i) = SUM ( FZ(k) * W              ),
-C                   k=1
-C
-C     where W = exp( 2*pi*j/N ).
-C
-C     Note that a discrete Fourier transform, followed by an inverse
-C     discrete Fourier transform, will result in a signal which is a
-C     factor N larger than the original input signal.
-C
-C     REFERENCES
-C
-C     [1] Rabiner, L.R. and Rader, C.M.
-C         Digital Signal Processing.
-C         IEEE Press, 1972.
-C
-C     NUMERICAL ASPECTS
-C
-C     The algorithm requires 0( N*log(N) ) operations.
-C
-C     CONTRIBUTOR
-C
-C     Release 3.0: V. Sima, Katholieke Univ. Leuven, Belgium, Feb. 1997.
-C     Supersedes Release 2.0 routine DG01AD by R. Dekeyser, State
-C     University of Gent, Belgium.
-C
-C     REVISIONS
-C
-C     -
-C
-C     KEYWORDS
-C
-C     Complex signals, digital signal processing, fast Fourier
-C     transform.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION  ZERO, HALF, ONE, TWO, EIGHT
-      PARAMETER         ( ZERO = 0.0D0, HALF = 0.5D0, ONE = 1.0D0,
-     $                    TWO = 2.0D0, EIGHT = 8.0D0 )
-C     .. Scalar Arguments ..
-      CHARACTER         INDI
-      INTEGER           INFO, N
-C     .. Array Arguments ..
-      DOUBLE PRECISION  XI(*), XR(*)
-C     .. Local Scalars ..
-      LOGICAL           LINDI
-      INTEGER           I, J, K, L, M
-      DOUBLE PRECISION  PI2, TI, TR, WHELP, WI, WR, WSTPI, WSTPR
-C     .. External Functions ..
-      LOGICAL           LSAME
-      EXTERNAL          LSAME
-C     .. External Subroutines ..
-      EXTERNAL          XERBLA
-C     .. Intrinsic Functions ..
-      INTRINSIC         ATAN, DBLE, MOD, SIN
-C     .. Executable Statements ..
-C
-      INFO = 0
-      LINDI = LSAME( INDI, 'D' )
-C
-C     Test the input scalar arguments.
-C
-      IF( .NOT.LINDI .AND. .NOT.LSAME( INDI, 'I' ) ) THEN
-         INFO = -1
-      ELSE
-         J = 0
-         IF( N.GE.2 ) THEN
-            J = N
-C           WHILE ( MOD( J, 2 ).EQ.0 ) DO
-   10       CONTINUE
-            IF ( MOD( J, 2 ).EQ.0 ) THEN
-               J = J/2
-               GO TO 10
-            END IF
-C           END WHILE 10
-         END IF
-         IF ( J.NE.1 ) INFO = -2
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'DG01MD', -INFO )
-         RETURN
-      END IF
-C
-C     Inplace shuffling of data.
-C
-      J = 1
-C
-      DO 30 I = 1, N
-         IF ( J.GT.I ) THEN
-            TR = XR(I)
-            TI = XI(I)
-            XR(I) = XR(J)
-            XI(I) = XI(J)
-            XR(J) = TR
-            XI(J) = TI
-         END IF
-         K = N/2
-C        REPEAT
-   20    IF ( J.GT.K ) THEN
-            J = J - K
-            K = K/2
-            IF ( K.GE.2 ) GO TO 20
-         END IF
-C        UNTIL ( K.LT.2 )
-         J = J + K
-   30 CONTINUE
-C
-C     Transform by decimation in time.
-C
-      PI2 = EIGHT*ATAN( ONE )
-      IF ( LINDI ) PI2 = -PI2
-C
-      I = 1
-C
-C     WHILE ( I.LT.N ) DO
-C
-   40 IF ( I.LT.N ) THEN
-         L = 2*I
-         WHELP = PI2/DBLE( L )
-         WSTPI = SIN( WHELP )
-         WHELP = SIN( HALF*WHELP )
-         WSTPR = -TWO*WHELP*WHELP
-         WR = ONE
-         WI = ZERO
-C
-         DO 60 J = 1, I
-C
-            DO 50 K = J, N, L
-               M = K + I
-               TR = WR*XR(M) - WI*XI(M)
-               TI = WR*XI(M) + WI*XR(M)
-               XR(M) = XR(K) - TR
-               XI(M) = XI(K) - TI
-               XR(K) = XR(K) + TR
-               XI(K) = XI(K) + TI
-   50       CONTINUE
-C
-            WHELP = WR
-            WR = WR + WR*WSTPR - WI*WSTPI
-            WI = WI + WHELP*WSTPI + WI*WSTPR
-   60    CONTINUE
-C
-         I = L
-         GO TO 40
-C        END WHILE 40
-      END IF
-C
-      RETURN
-C *** Last line of DG01MD ***
-      END
--- a/extra/control-devel/devel/dksyn/MA02AD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,108 +0,0 @@
-      SUBROUTINE MA02AD( JOB, M, N, A, LDA, B, LDB )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To transpose all or part of a two-dimensional matrix A into
-C     another matrix B.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     JOB     CHARACTER*1
-C             Specifies the part of the matrix A to be transposed into B
-C             as follows:
-C             = 'U': Upper triangular part;
-C             = 'L': Lower triangular part;
-C             Otherwise:  All of the matrix A.
-C
-C     Input/Output Parameters
-C
-C     M      (input) INTEGER
-C            The number of rows of the matrix A.  M >= 0.
-C
-C     N      (input) INTEGER
-C            The number of columns of the matrix A.  N >= 0.
-C
-C     A      (input) DOUBLE PRECISION array, dimension (LDA,N)
-C            The m-by-n matrix A.  If JOB = 'U', only the upper
-C            triangle or trapezoid is accessed; if JOB = 'L', only the
-C            lower triangle or trapezoid is accessed.
-C
-C     LDA    INTEGER
-C            The leading dimension of the array A.  LDA >= max(1,M).
-C
-C     B      (output) DOUBLE PRECISION array, dimension (LDB,M)
-C            B = A' in the locations specified by JOB.
-C
-C     LDB    INTEGER
-C            The leading dimension of the array B.  LDB >= max(1,N).
-C
-C     CONTRIBUTOR
-C
-C     A. Varga, German Aerospace Center,
-C     DLR Oberpfaffenhofen, March 1998.
-C     Based on the RASP routine DMTRA.
-C
-C     REVISIONS
-C
-C     -
-C
-C     ******************************************************************
-C
-C     .. Scalar Arguments ..
-      CHARACTER          JOB
-      INTEGER            LDA, LDB, M, N
-C     .. Array Arguments ..
-      DOUBLE PRECISION   A(LDA,*), B(LDB,*)
-C     .. Local Scalars ..
-      INTEGER            I, J
-C     .. External Functions ..
-      LOGICAL            LSAME
-      EXTERNAL           LSAME
-C     .. Intrinsic Functions ..
-      INTRINSIC          MIN
-C
-C     .. Executable Statements ..
-C
-      IF( LSAME( JOB, 'U' ) ) THEN
-         DO 20 J = 1, N
-            DO 10 I = 1, MIN( J, M )
-               B(J,I) = A(I,J)
-   10       CONTINUE
-   20    CONTINUE
-      ELSE IF( LSAME( JOB, 'L' ) ) THEN
-         DO 40 J = 1, N
-            DO 30 I = J, M
-               B(J,I) = A(I,J)
-   30       CONTINUE
-   40    CONTINUE
-      ELSE
-         DO 60 J = 1, N
-            DO 50 I = 1, M
-               B(J,I) = A(I,J)
-   50       CONTINUE
-   60    CONTINUE
-      END IF
-C
-      RETURN
-C *** Last line of MA02AD ***
-      END
--- a/extra/control-devel/devel/dksyn/MA02ED.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,99 +0,0 @@
-      SUBROUTINE MA02ED( UPLO, N, A, LDA )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To store by symmetry the upper or lower triangle of a symmetric
-C     matrix, given the other triangle.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     UPLO    CHARACTER*1
-C             Specifies which part of the matrix is given as follows:
-C             = 'U':  Upper triangular part;
-C             = 'L':  Lower triangular part.
-C             For all other values, the array A is not referenced.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the matrix A.  N >= 0.
-C
-C     A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
-C             On entry, the leading N-by-N upper triangular part
-C             (if UPLO = 'U'), or lower triangular part (if UPLO = 'L'),
-C             of this array must contain the corresponding upper or
-C             lower triangle of the symmetric matrix A.
-C             On exit, the leading N-by-N part of this array contains
-C             the symmetric matrix A with all elements stored.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.  LDA >= max(1,N).
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Romania,
-C     Oct. 1998.
-C
-C     REVISIONS
-C
-C     -
-C
-C     ******************************************************************
-C
-C     .. Scalar Arguments ..
-      CHARACTER          UPLO
-      INTEGER            LDA, N
-C     .. Array Arguments ..
-      DOUBLE PRECISION   A(LDA,*)
-C     .. Local Scalars ..
-      INTEGER            J
-C     .. External Functions ..
-      LOGICAL            LSAME
-      EXTERNAL           LSAME
-C     .. External Subroutines ..
-      EXTERNAL           DCOPY
-C
-C     .. Executable Statements ..
-C
-C     For efficiency reasons, the parameters are not checked for errors.
-C
-      IF( LSAME( UPLO, 'L' ) ) THEN
-C
-C        Construct the upper triangle of A.
-C
-         DO 20 J = 2, N
-            CALL DCOPY( J-1, A(J,1), LDA, A(1,J), 1 )
-   20    CONTINUE
-C
-      ELSE IF( LSAME( UPLO, 'U' ) ) THEN
-C
-C        Construct the lower triangle of A.
-C
-         DO 40 J = 2, N
-            CALL DCOPY( J-1, A(1,J), 1, A(J,1), LDA )
-   40    CONTINUE
-C
-      END IF
-      RETURN
-C *** Last line of MA02ED ***
-      END
--- a/extra/control-devel/devel/dksyn/MB01PD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,271 +0,0 @@
-      SUBROUTINE MB01PD( SCUN, TYPE, M, N, KL, KU, ANRM, NBL, NROWS, A,
-     $                   LDA, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To scale a matrix or undo scaling.  Scaling is performed, if
-C     necessary, so that the matrix norm will be in a safe range of
-C     representable numbers.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     SCUN    CHARACTER*1
-C             SCUN indicates the operation to be performed.
-C             = 'S':  scale the matrix.
-C             = 'U':  undo scaling of the matrix.
-C
-C     TYPE    CHARACTER*1
-C             TYPE indicates the storage type of the input matrix.
-C             = 'G':  A is a full matrix.
-C             = 'L':  A is a (block) lower triangular matrix.
-C             = 'U':  A is an (block) upper triangular matrix.
-C             = 'H':  A is an (block) upper Hessenberg matrix.
-C             = 'B':  A is a symmetric band matrix with lower bandwidth
-C                     KL and upper bandwidth KU and with the only the
-C                     lower half stored.
-C             = 'Q':  A is a symmetric band matrix with lower bandwidth
-C                     KL and upper bandwidth KU and with the only the
-C                     upper half stored.
-C             = 'Z':  A is a band matrix with lower bandwidth KL and
-C                     upper bandwidth KU.
-C
-C     Input/Output Parameters
-C
-C     M       (input) INTEGER
-C             The number of rows of the matrix A. M >= 0.
-C
-C     N       (input) INTEGER
-C             The number of columns of the matrix A. N >= 0.
-C
-C     KL      (input) INTEGER
-C             The lower bandwidth of A.  Referenced only if TYPE = 'B',
-C             'Q' or 'Z'.
-C
-C     KU      (input) INTEGER
-C             The upper bandwidth of A.  Referenced only if TYPE = 'B',
-C             'Q' or 'Z'.
-C
-C     ANRM    (input) DOUBLE PRECISION
-C             The norm of the initial matrix A.  ANRM >= 0.
-C             When  ANRM = 0  then an immediate return is effected.
-C             ANRM should be preserved between the call of the routine
-C             with SCUN = 'S' and the corresponding one with SCUN = 'U'.
-C
-C     NBL     (input) INTEGER
-C             The number of diagonal blocks of the matrix A, if it has a
-C             block structure.  To specify that matrix A has no block
-C             structure, set NBL = 0.  NBL >= 0.
-C
-C     NROWS   (input) INTEGER array, dimension max(1,NBL)
-C             NROWS(i) contains the number of rows and columns of the
-C             i-th diagonal block of matrix A.  The sum of the values
-C             NROWS(i),  for  i = 1: NBL,  should be equal to min(M,N).
-C             The elements of the array  NROWS  are not referenced if
-C             NBL = 0.
-C
-C     A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
-C             On entry, the leading M by N part of this array must
-C             contain the matrix to be scaled/unscaled.
-C             On exit, the leading M by N part of A will contain
-C             the modified matrix.
-C             The storage mode of A is specified by TYPE.
-C
-C     LDA     (input) INTEGER
-C             The leading dimension of the array A.  LDA  >= max(1,M).
-C
-C     Error Indicator
-C
-C     INFO    (output) INTEGER
-C             = 0:  successful exit
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value.
-C
-C     METHOD
-C
-C     Denote by ANRM the norm of the matrix, and by SMLNUM and BIGNUM,
-C     two positive numbers near the smallest and largest safely
-C     representable numbers, respectively.  The matrix is scaled, if
-C     needed, such that the norm of the result is in the range
-C     [SMLNUM, BIGNUM].  The scaling factor is represented as a ratio
-C     of two numbers, one of them being ANRM, and the other one either
-C     SMLNUM or BIGNUM, depending on ANRM being less than SMLNUM or
-C     larger than BIGNUM, respectively.  For undoing the scaling, the
-C     norm is again compared with SMLNUM or BIGNUM, and the reciprocal
-C     of the previous scaling factor is used.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, Nov. 1996.
-C
-C     REVISIONS
-C
-C     Oct. 2001, V. Sima, Research Institute for Informatics, Bucharest.
-C
-C    ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE
-      PARAMETER          ( ZERO = 0.0D0, ONE = 1.0D0 )
-C     .. Scalar Arguments ..
-      CHARACTER          SCUN, TYPE
-      INTEGER            INFO, KL, KU, LDA, M, MN, N, NBL
-      DOUBLE PRECISION   ANRM
-C     .. Array Arguments ..
-      INTEGER            NROWS ( * )
-      DOUBLE PRECISION   A( LDA, * )
-C     .. Local Scalars ..
-      LOGICAL            FIRST, LSCALE
-      INTEGER            I, ISUM, ITYPE
-      DOUBLE PRECISION   BIGNUM, SMLNUM
-C     .. External Functions ..
-      LOGICAL            LSAME
-      DOUBLE PRECISION   DLAMCH
-      EXTERNAL           DLAMCH, LSAME
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DLABAD, MB01QD, XERBLA
-C     .. Intrinsic Functions ..
-      INTRINSIC          MAX, MIN
-C     .. Save statement ..
-      SAVE               BIGNUM, FIRST, SMLNUM
-C     .. Data statements ..
-      DATA               FIRST/.TRUE./
-C     ..
-C     .. Executable Statements ..
-C
-C     Test the input scalar arguments.
-C
-      INFO = 0
-      LSCALE = LSAME( SCUN, 'S' )
-      IF( LSAME( TYPE, 'G' ) ) THEN
-         ITYPE = 0
-      ELSE IF( LSAME( TYPE, 'L' ) ) THEN
-         ITYPE = 1
-      ELSE IF( LSAME( TYPE, 'U' ) ) THEN
-         ITYPE = 2
-      ELSE IF( LSAME( TYPE, 'H' ) ) THEN
-         ITYPE = 3
-      ELSE IF( LSAME( TYPE, 'B' ) ) THEN
-         ITYPE = 4
-      ELSE IF( LSAME( TYPE, 'Q' ) ) THEN
-         ITYPE = 5
-      ELSE IF( LSAME( TYPE, 'Z' ) ) THEN
-         ITYPE = 6
-      ELSE
-         ITYPE = -1
-      END IF
-C
-      MN = MIN( M, N )
-C
-      ISUM = 0
-      IF( NBL.GT.0 ) THEN
-         DO 10 I = 1, NBL
-            ISUM = ISUM + NROWS(I)
- 10      CONTINUE
-      END IF
-C
-      IF( .NOT.LSCALE .AND. .NOT.LSAME( SCUN, 'U' ) ) THEN
-         INFO = -1
-      ELSE IF( ITYPE.EQ.-1 ) THEN
-         INFO = -2
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( N.LT.0 .OR.
-     $         ( ( ITYPE.EQ.4 .OR. ITYPE.EQ.5 ) .AND. N.NE.M ) ) THEN
-         INFO = -4
-      ELSE IF( ANRM.LT.ZERO ) THEN
-         INFO = -7
-      ELSE IF( NBL.LT.0 ) THEN
-         INFO = -8
-      ELSE IF( NBL.GT.0 .AND. ISUM.NE.MN ) THEN
-         INFO = -9
-      ELSE IF( ITYPE.LE.3 .AND. LDA.LT.MAX( 1, M ) ) THEN
-         INFO = -11
-      ELSE IF( ITYPE.GE.4 ) THEN
-         IF( KL.LT.0 .OR. KL.GT.MAX( M-1, 0 ) ) THEN
-            INFO = -5
-         ELSE IF( KU.LT.0 .OR. KU.GT.MAX( N-1, 0 ) .OR.
-     $            ( ( ITYPE.EQ.4 .OR. ITYPE.EQ.5 ) .AND. KL.NE.KU ) )
-     $             THEN
-            INFO = -6
-         ELSE IF( ( ITYPE.EQ.4 .AND. LDA.LT.KL+1 ) .OR.
-     $            ( ITYPE.EQ.5 .AND. LDA.LT.KU+1 ) .OR.
-     $            ( ITYPE.EQ.6 .AND. LDA.LT.2*KL+KU+1 ) ) THEN
-            INFO = -11
-         END IF
-      END IF
-C
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'MB01PD', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF( MN.EQ.0 .OR. ANRM.EQ.ZERO )
-     $   RETURN
-C
-      IF ( FIRST ) THEN
-C
-C        Get machine parameters.
-C
-         SMLNUM = DLAMCH( 'S' ) / DLAMCH( 'P' )
-         BIGNUM = ONE / SMLNUM
-         CALL DLABAD( SMLNUM, BIGNUM )
-         FIRST = .FALSE.
-      END IF
-C
-      IF ( LSCALE ) THEN
-C
-C        Scale A, if its norm is outside range [SMLNUM,BIGNUM].
-C
-         IF( ANRM.LT.SMLNUM ) THEN
-C
-C           Scale matrix norm up to SMLNUM.
-C
-            CALL MB01QD( TYPE, M, N, KL, KU, ANRM, SMLNUM, NBL, NROWS,
-     $                   A, LDA, INFO )
-         ELSE IF( ANRM.GT.BIGNUM ) THEN
-C
-C           Scale matrix norm down to BIGNUM.
-C
-            CALL MB01QD( TYPE, M, N, KL, KU, ANRM, BIGNUM, NBL, NROWS,
-     $                   A, LDA, INFO )
-         END IF
-C
-      ELSE
-C
-C        Undo scaling.
-C
-         IF( ANRM.LT.SMLNUM ) THEN
-            CALL MB01QD( TYPE, M, N, KL, KU, SMLNUM, ANRM, NBL, NROWS,
-     $                   A, LDA, INFO )
-         ELSE IF( ANRM.GT.BIGNUM ) THEN
-            CALL MB01QD( TYPE, M, N, KL, KU, BIGNUM, ANRM, NBL, NROWS,
-     $                   A, LDA, INFO )
-         END IF
-      END IF
-C
-      RETURN
-C *** Last line of MB01PD ***
-      END
--- a/extra/control-devel/devel/dksyn/MB01QD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,334 +0,0 @@
-      SUBROUTINE MB01QD( TYPE, M, N, KL, KU, CFROM, CTO, NBL, NROWS, A,
-     $                   LDA, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To multiply the M by N real matrix A by the real scalar CTO/CFROM.
-C     This is done without over/underflow as long as the final result
-C     CTO*A(I,J)/CFROM does not over/underflow. TYPE specifies that
-C     A may be full, (block) upper triangular, (block) lower triangular,
-C     (block) upper Hessenberg, or banded.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     TYPE    CHARACTER*1
-C             TYPE indices the storage type of the input matrix.
-C             = 'G':  A is a full matrix.
-C             = 'L':  A is a (block) lower triangular matrix.
-C             = 'U':  A is a (block) upper triangular matrix.
-C             = 'H':  A is a (block) upper Hessenberg matrix.
-C             = 'B':  A is a symmetric band matrix with lower bandwidth
-C                     KL and upper bandwidth KU and with the only the
-C                     lower half stored.
-C             = 'Q':  A is a symmetric band matrix with lower bandwidth
-C                     KL and upper bandwidth KU and with the only the
-C                     upper half stored.
-C             = 'Z':  A is a band matrix with lower bandwidth KL and
-C                     upper bandwidth KU.
-C
-C     Input/Output Parameters
-C
-C     M       (input) INTEGER
-C             The number of rows of the matrix A.  M >= 0.
-C
-C     N       (input) INTEGER
-C             The number of columns of the matrix A.  N >= 0.
-C
-C     KL      (input) INTEGER
-C             The lower bandwidth of A.  Referenced only if TYPE = 'B',
-C             'Q' or 'Z'.
-C
-C     KU      (input) INTEGER
-C             The upper bandwidth of A.  Referenced only if TYPE = 'B',
-C             'Q' or 'Z'.
-C
-C     CFROM   (input) DOUBLE PRECISION
-C     CTO     (input) DOUBLE PRECISION
-C             The matrix A is multiplied by CTO/CFROM. A(I,J) is
-C             computed without over/underflow if the final result
-C             CTO*A(I,J)/CFROM can be represented without over/
-C             underflow.  CFROM must be nonzero.
-C
-C     NBL     (input) INTEGER
-C             The number of diagonal blocks of the matrix A, if it has a
-C             block structure.  To specify that matrix A has no block
-C             structure, set NBL = 0.  NBL >= 0.
-C
-C     NROWS   (input) INTEGER array, dimension max(1,NBL)
-C             NROWS(i) contains the number of rows and columns of the
-C             i-th diagonal block of matrix A.  The sum of the values
-C             NROWS(i),  for  i = 1: NBL,  should be equal to min(M,N).
-C             The array  NROWS  is not referenced if NBL = 0.
-C
-C     A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
-C             The matrix to be multiplied by CTO/CFROM.  See TYPE for
-C             the storage type.
-C
-C     LDA     (input) INTEGER
-C             The leading dimension of the array A.  LDA >= max(1,M).
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             Not used in this implementation.
-C
-C     METHOD
-C
-C     Matrix A is multiplied by the real scalar CTO/CFROM, taking into
-C     account the specified storage mode of the matrix.
-C     MB01QD is a version of the LAPACK routine DLASCL, modified for
-C     dealing with block triangular, or block Hessenberg matrices.
-C     For efficiency, no tests of the input scalar parameters are
-C     performed.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, Nov. 1996.
-C
-C    ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE
-      PARAMETER          ( ZERO = 0.0D0, ONE = 1.0D0 )
-C     ..
-C     .. Scalar Arguments ..
-      CHARACTER          TYPE
-      INTEGER            INFO, KL, KU, LDA, M, N, NBL
-      DOUBLE PRECISION   CFROM, CTO
-C     ..
-C     .. Array Arguments ..
-      INTEGER            NROWS ( * )
-      DOUBLE PRECISION   A( LDA, * )
-C     ..
-C     .. Local Scalars ..
-      LOGICAL            DONE, NOBLC
-      INTEGER            I, IFIN, ITYPE, J, JFIN, JINI, K, K1, K2, K3,
-     $                   K4
-      DOUBLE PRECISION   BIGNUM, CFROM1, CFROMC, CTO1, CTOC, MUL, SMLNUM
-C     ..
-C     .. External Functions ..
-      LOGICAL            LSAME
-      DOUBLE PRECISION   DLAMCH
-      EXTERNAL           LSAME, DLAMCH
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          ABS, MAX, MIN
-C     ..
-C     .. Executable Statements ..
-C
-      IF( LSAME( TYPE, 'G' ) ) THEN
-         ITYPE = 0
-      ELSE IF( LSAME( TYPE, 'L' ) ) THEN
-         ITYPE = 1
-      ELSE IF( LSAME( TYPE, 'U' ) ) THEN
-         ITYPE = 2
-      ELSE IF( LSAME( TYPE, 'H' ) ) THEN
-         ITYPE = 3
-      ELSE IF( LSAME( TYPE, 'B' ) ) THEN
-         ITYPE = 4
-      ELSE IF( LSAME( TYPE, 'Q' ) ) THEN
-         ITYPE = 5
-      ELSE
-         ITYPE = 6
-      END IF
-C
-C     Quick return if possible.
-C
-      IF( MIN( M, N ).EQ.0 )
-     $   RETURN
-C
-C     Get machine parameters.
-C
-      SMLNUM = DLAMCH( 'S' )
-      BIGNUM = ONE / SMLNUM
-C
-      CFROMC = CFROM
-      CTOC = CTO
-C
-   10 CONTINUE
-      CFROM1 = CFROMC*SMLNUM
-      CTO1 = CTOC / BIGNUM
-      IF( ABS( CFROM1 ).GT.ABS( CTOC ) .AND. CTOC.NE.ZERO ) THEN
-         MUL = SMLNUM
-         DONE = .FALSE.
-         CFROMC = CFROM1
-      ELSE IF( ABS( CTO1 ).GT.ABS( CFROMC ) ) THEN
-         MUL = BIGNUM
-         DONE = .FALSE.
-         CTOC = CTO1
-      ELSE
-         MUL = CTOC / CFROMC
-         DONE = .TRUE.
-      END IF
-C
-      NOBLC = NBL.EQ.0
-C
-      IF( ITYPE.EQ.0 ) THEN
-C
-C        Full matrix
-C
-         DO 30 J = 1, N
-            DO 20 I = 1, M
-               A( I, J ) = A( I, J )*MUL
-   20       CONTINUE
-   30    CONTINUE
-C
-      ELSE IF( ITYPE.EQ.1 ) THEN
-C
-         IF ( NOBLC ) THEN
-C
-C           Lower triangular matrix
-C
-            DO 50 J = 1, N
-               DO 40 I = J, M
-                  A( I, J ) = A( I, J )*MUL
-   40          CONTINUE
-   50       CONTINUE
-C
-         ELSE
-C
-C           Block lower triangular matrix
-C
-            JFIN = 0
-            DO 80 K = 1, NBL
-               JINI = JFIN + 1
-               JFIN = JFIN + NROWS( K )
-               DO 70 J = JINI, JFIN
-                  DO 60 I = JINI, M
-                     A( I, J ) = A( I, J )*MUL
-   60             CONTINUE
-   70          CONTINUE
-   80       CONTINUE
-         END IF
-C
-      ELSE IF( ITYPE.EQ.2 ) THEN
-C
-         IF ( NOBLC ) THEN
-C
-C           Upper triangular matrix
-C
-            DO 100 J = 1, N
-               DO 90 I = 1, MIN( J, M )
-                  A( I, J ) = A( I, J )*MUL
-   90          CONTINUE
-  100       CONTINUE
-C
-         ELSE
-C
-C           Block upper triangular matrix
-C
-            JFIN = 0
-            DO 130 K = 1, NBL
-               JINI = JFIN + 1
-               JFIN = JFIN + NROWS( K )
-               IF ( K.EQ.NBL ) JFIN = N
-               DO 120 J = JINI, JFIN
-                  DO 110 I = 1, MIN( JFIN, M )
-                     A( I, J ) = A( I, J )*MUL
-  110             CONTINUE
-  120          CONTINUE
-  130       CONTINUE
-         END IF
-C
-      ELSE IF( ITYPE.EQ.3 ) THEN
-C
-         IF ( NOBLC ) THEN
-C
-C           Upper Hessenberg matrix
-C
-            DO 150 J = 1, N
-               DO 140 I = 1, MIN( J+1, M )
-                  A( I, J ) = A( I, J )*MUL
-  140          CONTINUE
-  150       CONTINUE
-C
-         ELSE
-C
-C           Block upper Hessenberg matrix
-C
-            JFIN = 0
-            DO 180 K = 1, NBL
-               JINI = JFIN + 1
-               JFIN = JFIN + NROWS( K )
-C
-               IF ( K.EQ.NBL ) THEN
-                  JFIN = N
-                  IFIN = N
-               ELSE
-                  IFIN = JFIN + NROWS( K+1 )
-               END IF
-C
-               DO 170 J = JINI, JFIN
-                  DO 160 I = 1, MIN( IFIN, M )
-                     A( I, J ) = A( I, J )*MUL
-  160             CONTINUE
-  170          CONTINUE
-  180       CONTINUE
-         END IF
-C
-      ELSE IF( ITYPE.EQ.4 ) THEN
-C
-C        Lower half of a symmetric band matrix
-C
-         K3 = KL + 1
-         K4 = N + 1
-         DO 200 J = 1, N
-            DO 190 I = 1, MIN( K3, K4-J )
-               A( I, J ) = A( I, J )*MUL
-  190       CONTINUE
-  200    CONTINUE
-C
-      ELSE IF( ITYPE.EQ.5 ) THEN
-C
-C        Upper half of a symmetric band matrix
-C
-         K1 = KU + 2
-         K3 = KU + 1
-         DO 220 J = 1, N
-            DO 210 I = MAX( K1-J, 1 ), K3
-               A( I, J ) = A( I, J )*MUL
-  210       CONTINUE
-  220    CONTINUE
-C
-      ELSE IF( ITYPE.EQ.6 ) THEN
-C
-C        Band matrix
-C
-         K1 = KL + KU + 2
-         K2 = KL + 1
-         K3 = 2*KL + KU + 1
-         K4 = KL + KU + 1 + M
-         DO 240 J = 1, N
-            DO 230 I = MAX( K1-J, K2 ), MIN( K3, K4-J )
-               A( I, J ) = A( I, J )*MUL
-  230       CONTINUE
-  240    CONTINUE
-C
-      END IF
-C
-      IF( .NOT.DONE )
-     $   GO TO 10
-C
-      RETURN
-C *** Last line of MB01QD ***
-      END
--- a/extra/control-devel/devel/dksyn/MB01RU.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,282 +0,0 @@
-      SUBROUTINE MB01RU( UPLO, TRANS, M, N, ALPHA, BETA, R, LDR, A, LDA,
-     $                   X, LDX, DWORK, LDWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To compute the matrix formula
-C        _
-C        R = alpha*R + beta*op( A )*X*op( A )',
-C                                                 _
-C     where alpha and beta are scalars, R, X, and R are symmetric
-C     matrices, A is a general matrix, and op( A ) is one of
-C
-C        op( A ) = A   or   op( A ) = A'.
-C
-C     The result is overwritten on R.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     UPLO    CHARACTER*1
-C             Specifies which triangles of the symmetric matrices R
-C             and X are given as follows:
-C             = 'U':  the upper triangular part is given;
-C             = 'L':  the lower triangular part is given.
-C
-C     TRANS   CHARACTER*1
-C             Specifies the form of op( A ) to be used in the matrix
-C             multiplication as follows:
-C             = 'N':  op( A ) = A;
-C             = 'T':  op( A ) = A';
-C             = 'C':  op( A ) = A'.
-C
-C     Input/Output Parameters
-C
-C     M       (input) INTEGER           _
-C             The order of the matrices R and R and the number of rows
-C             of the matrix op( A ).  M >= 0.
-C
-C     N       (input) INTEGER
-C             The order of the matrix X and the number of columns of the
-C             the matrix op( A ).  N >= 0.
-C
-C     ALPHA   (input) DOUBLE PRECISION
-C             The scalar alpha. When alpha is zero then R need not be
-C             set before entry, except when R is identified with X in
-C             the call.
-C
-C     BETA    (input) DOUBLE PRECISION
-C             The scalar beta. When beta is zero then A and X are not
-C             referenced.
-C
-C     R       (input/output) DOUBLE PRECISION array, dimension (LDR,M)
-C             On entry with UPLO = 'U', the leading M-by-M upper
-C             triangular part of this array must contain the upper
-C             triangular part of the symmetric matrix R.
-C             On entry with UPLO = 'L', the leading M-by-M lower
-C             triangular part of this array must contain the lower
-C             triangular part of the symmetric matrix R.
-C             On exit, the leading M-by-M upper triangular part (if
-C             UPLO = 'U'), or lower triangular part (if UPLO = 'L'), of
-C             this array contains the corresponding triangular part of
-C                                 _
-C             the computed matrix R.
-C
-C     LDR     INTEGER
-C             The leading dimension of array R.  LDR >= MAX(1,M).
-C
-C     A       (input) DOUBLE PRECISION array, dimension (LDA,k)
-C             where k is N when TRANS = 'N' and is M when TRANS = 'T' or
-C             TRANS = 'C'.
-C             On entry with TRANS = 'N', the leading M-by-N part of this
-C             array must contain the matrix A.
-C             On entry with TRANS = 'T' or TRANS = 'C', the leading
-C             N-by-M part of this array must contain the matrix A.
-C
-C     LDA     INTEGER
-C             The leading dimension of array A.  LDA >= MAX(1,k),
-C             where k is M when TRANS = 'N' and is N when TRANS = 'T' or
-C             TRANS = 'C'.
-C
-C     X       (input) DOUBLE PRECISION array, dimension (LDX,N)
-C             On entry, if UPLO = 'U', the leading N-by-N upper
-C             triangular part of this array must contain the upper
-C             triangular part of the symmetric matrix X and the strictly
-C             lower triangular part of the array is not referenced.
-C             On entry, if UPLO = 'L', the leading N-by-N lower
-C             triangular part of this array must contain the lower
-C             triangular part of the symmetric matrix X and the strictly
-C             upper triangular part of the array is not referenced.
-C             The diagonal elements of this array are modified
-C             internally, but are restored on exit.
-C
-C     LDX     INTEGER
-C             The leading dimension of array X.  LDX >= MAX(1,N).
-C
-C     Workspace
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             This array is not referenced when beta = 0, or M*N = 0.
-C
-C     LDWORK  The length of the array DWORK.
-C             LDWORK >= M*N, if  beta <> 0;
-C             LDWORK >= 0,   if  beta =  0.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -k, the k-th argument had an illegal
-C                   value.
-C
-C     METHOD
-C
-C     The matrix expression is efficiently evaluated taking the symmetry
-C     into account. Specifically, let X = T + T', with T an upper or
-C     lower triangular matrix, defined by
-C
-C        T = triu( X ) - (1/2)*diag( X ),  if UPLO = 'U',
-C        T = tril( X ) - (1/2)*diag( X ),  if UPLO = 'L',
-C
-C     where triu, tril, and diag denote the upper triangular part, lower
-C     triangular part, and diagonal part of X, respectively. Then,
-C
-C        A*X*A' = ( A*T )*A' + A*( A*T )',  for TRANS = 'N',
-C        A'*X*A = A'*( T*A ) + ( T*A )'*A,  for TRANS = 'T', or 'C',
-C
-C     which involve BLAS 3 operations (DTRMM and DSYR2K).
-C
-C     NUMERICAL ASPECTS
-C
-C     The algorithm requires approximately
-C
-C                   2         2
-C        3/2 x M x N + 1/2 x M
-C
-C     operations.
-C
-C     FURTHER COMMENTS
-C
-C     This is a simpler version for MB01RD.
-C
-C     CONTRIBUTORS
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, Jan. 1999.
-C
-C     REVISIONS
-C
-C     A. Varga, German Aerospace Center, Oberpfaffenhofen, March 2004.
-C     V. Sima, Research Institute for Informatics, Bucharest, Mar. 2004.
-C
-C     KEYWORDS
-C
-C     Elementary matrix operations, matrix algebra, matrix operations.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION  ZERO, ONE, TWO, HALF
-      PARAMETER         ( ZERO = 0.0D0, ONE = 1.0D0, TWO = 2.0D0,
-     $                  HALF = 0.5D0 )
-C     .. Scalar Arguments ..
-      CHARACTER         TRANS, UPLO
-      INTEGER           INFO, LDA, LDR, LDWORK, LDX, M, N
-      DOUBLE PRECISION  ALPHA, BETA
-C     .. Array Arguments ..
-      DOUBLE PRECISION  A(LDA,*), DWORK(*), R(LDR,*), X(LDX,*)
-C     .. Local Scalars ..
-      LOGICAL           LTRANS, LUPLO
-C     .. External Functions ..
-      LOGICAL           LSAME
-      EXTERNAL          LSAME
-C     .. External Subroutines ..
-      EXTERNAL          DLACPY, DLASCL, DLASET, DSCAL, DSYR2K, DTRMM,
-     $                  XERBLA
-C     .. Intrinsic Functions ..
-      INTRINSIC         MAX
-C     .. Executable Statements ..
-C
-C     Test the input scalar arguments.
-C
-      INFO = 0
-      LUPLO  = LSAME( UPLO,  'U' )
-      LTRANS = LSAME( TRANS, 'T' ) .OR. LSAME( TRANS, 'C' )
-C
-      IF(      ( .NOT.LUPLO  ).AND.( .NOT.LSAME( UPLO,  'L' ) ) )THEN
-         INFO = -1
-      ELSE IF( ( .NOT.LTRANS ).AND.( .NOT.LSAME( TRANS, 'N' ) ) )THEN
-         INFO = -2
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( LDR.LT.MAX( 1, M ) ) THEN
-         INFO = -8
-      ELSE IF( LDA.LT.1 .OR. ( LTRANS .AND. LDA.LT.N ) .OR.
-     $                  ( .NOT.LTRANS .AND. LDA.LT.M ) ) THEN
-         INFO = -10
-      ELSE IF( LDX.LT.MAX( 1, N ) ) THEN
-         INFO = -12
-      ELSE IF( ( BETA.NE.ZERO .AND. LDWORK.LT.M*N )
-     $     .OR.( BETA.EQ.ZERO .AND. LDWORK.LT.0 ) ) THEN
-         INFO = -14
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'MB01RU', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF ( M.EQ.0 )
-     $   RETURN
-C
-      IF ( BETA.EQ.ZERO .OR. N.EQ.0 ) THEN
-         IF ( ALPHA.EQ.ZERO ) THEN
-C
-C           Special case alpha = 0.
-C
-            CALL DLASET( UPLO, M, M, ZERO, ZERO, R, LDR )
-         ELSE
-C
-C           Special case beta = 0 or N = 0.
-C
-            IF ( ALPHA.NE.ONE )
-     $         CALL DLASCL( UPLO, 0, 0, ONE, ALPHA, M, M, R, LDR, INFO )
-         END IF
-         RETURN
-      END IF
-C
-C     General case: beta <> 0.
-C     Compute W = op( A )*T or W = T*op( A ) in DWORK, and apply the
-C     updating formula (see METHOD section).
-C     Workspace: need M*N.
-C
-      CALL DSCAL( N, HALF, X, LDX+1 )
-C
-      IF( LTRANS ) THEN
-C
-         CALL DLACPY( 'Full', N, M, A, LDA, DWORK, N )
-         CALL DTRMM(  'Left', UPLO, 'NoTranspose', 'Non-unit', N, M,
-     $                ONE, X, LDX, DWORK, N )
-         CALL DSYR2K( UPLO, TRANS, M, N, BETA, DWORK, N, A, LDA, ALPHA,
-     $                R, LDR )
-C
-      ELSE
-C
-         CALL DLACPY( 'Full', M, N, A, LDA, DWORK, M )
-         CALL DTRMM(  'Right', UPLO, 'NoTranspose', 'Non-unit', M, N,
-     $                ONE, X, LDX, DWORK, M )
-         CALL DSYR2K( UPLO, TRANS, M, N, BETA, DWORK, M, A, LDA, ALPHA,
-     $                R, LDR )
-C
-      END IF
-C
-      CALL DSCAL( N, TWO, X, LDX+1 )
-C
-      RETURN
-C *** Last line of MB01RU ***
-      END
--- a/extra/control-devel/devel/dksyn/MB01RX.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,315 +0,0 @@
-      SUBROUTINE MB01RX( SIDE, UPLO, TRANS, M, N, ALPHA, BETA, R, LDR,
-     $                   A, LDA, B, LDB, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To compute either the upper or lower triangular part of one of the
-C     matrix formulas
-C        _
-C        R = alpha*R + beta*op( A )*B,                               (1)
-C        _
-C        R = alpha*R + beta*B*op( A ),                               (2)
-C                                             _
-C     where alpha and beta are scalars, R and R are m-by-m matrices,
-C     op( A ) and B are m-by-n and n-by-m matrices for (1), or n-by-m
-C     and m-by-n matrices for (2), respectively, and op( A ) is one of
-C
-C        op( A ) = A   or   op( A ) = A',  the transpose of A.
-C
-C     The result is overwritten on R.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     SIDE    CHARACTER*1
-C             Specifies whether the matrix A appears on the left or
-C             right in the matrix product as follows:
-C                     _
-C             = 'L':  R = alpha*R + beta*op( A )*B;
-C                     _
-C             = 'R':  R = alpha*R + beta*B*op( A ).
-C
-C     UPLO    CHARACTER*1                               _
-C             Specifies which triangles of the matrices R and R are
-C             computed and given, respectively, as follows:
-C             = 'U':  the upper triangular part;
-C             = 'L':  the lower triangular part.
-C
-C     TRANS   CHARACTER*1
-C             Specifies the form of op( A ) to be used in the matrix
-C             multiplication as follows:
-C             = 'N':  op( A ) = A;
-C             = 'T':  op( A ) = A';
-C             = 'C':  op( A ) = A'.
-C
-C     Input/Output Parameters
-C
-C     M       (input) INTEGER           _
-C             The order of the matrices R and R, the number of rows of
-C             the matrix op( A ) and the number of columns of the
-C             matrix B, for SIDE = 'L', or the number of rows of the
-C             matrix B and the number of columns of the matrix op( A ),
-C             for SIDE = 'R'.  M >= 0.
-C
-C     N       (input) INTEGER
-C             The number of rows of the matrix B and the number of
-C             columns of the matrix op( A ), for SIDE = 'L', or the
-C             number of rows of the matrix op( A ) and the number of
-C             columns of the matrix B, for SIDE = 'R'.  N >= 0.
-C
-C     ALPHA   (input) DOUBLE PRECISION
-C             The scalar alpha. When alpha is zero then R need not be
-C             set before entry.
-C
-C     BETA    (input) DOUBLE PRECISION
-C             The scalar beta. When beta is zero then A and B are not
-C             referenced.
-C
-C     R       (input/output) DOUBLE PRECISION array, dimension (LDR,M)
-C             On entry with UPLO = 'U', the leading M-by-M upper
-C             triangular part of this array must contain the upper
-C             triangular part of the matrix R; the strictly lower
-C             triangular part of the array is not referenced.
-C             On entry with UPLO = 'L', the leading M-by-M lower
-C             triangular part of this array must contain the lower
-C             triangular part of the matrix R; the strictly upper
-C             triangular part of the array is not referenced.
-C             On exit, the leading M-by-M upper triangular part (if
-C             UPLO = 'U'), or lower triangular part (if UPLO = 'L') of
-C             this array contains the corresponding triangular part of
-C                                 _
-C             the computed matrix R.
-C
-C     LDR     INTEGER
-C             The leading dimension of array R.  LDR >= MAX(1,M).
-C
-C     A       (input) DOUBLE PRECISION array, dimension (LDA,k), where
-C             k = N  when  SIDE = 'L', and TRANS = 'N', or
-C                          SIDE = 'R', and TRANS = 'T';
-C             k = M  when  SIDE = 'R', and TRANS = 'N', or
-C                          SIDE = 'L', and TRANS = 'T'.
-C             On entry, if SIDE = 'L', and TRANS = 'N', or
-C                          SIDE = 'R', and TRANS = 'T',
-C             the leading M-by-N part of this array must contain the
-C             matrix A.
-C             On entry, if SIDE = 'R', and TRANS = 'N', or
-C                          SIDE = 'L', and TRANS = 'T',
-C             the leading N-by-M part of this array must contain the
-C             matrix A.
-C
-C     LDA     INTEGER
-C             The leading dimension of array A.  LDA >= MAX(1,l), where
-C             l = M  when  SIDE = 'L', and TRANS = 'N', or
-C                          SIDE = 'R', and TRANS = 'T';
-C             l = N  when  SIDE = 'R', and TRANS = 'N', or
-C                          SIDE = 'L', and TRANS = 'T'.
-C
-C     B       (input) DOUBLE PRECISION array, dimension (LDB,p), where
-C             p = M  when  SIDE = 'L';
-C             p = N  when  SIDE = 'R'.
-C             On entry, the leading N-by-M part, if SIDE = 'L', or
-C             M-by-N part, if SIDE = 'R', of this array must contain the
-C             matrix B.
-C
-C     LDB     INTEGER
-C             The leading dimension of array B.
-C             LDB >= MAX(1,N), if SIDE = 'L';
-C             LDB >= MAX(1,M), if SIDE = 'R'.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value.
-C
-C     METHOD
-C
-C     The matrix expression is evaluated taking the triangular
-C     structure into account. BLAS 2 operations are used. A block
-C     algorithm can be easily constructed; it can use BLAS 3 GEMM
-C     operations for most computations, and calls of this BLAS 2
-C     algorithm for computing the triangles.
-C
-C     FURTHER COMMENTS
-C
-C     The main application of this routine is when the result should
-C     be a symmetric matrix, e.g., when B = X*op( A )', for (1), or
-C     B = op( A )'*X, for (2), where B is already available and X = X'.
-C
-C     CONTRIBUTORS
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, Feb. 1999.
-C
-C     REVISIONS
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Mar. 2004.
-C
-C     KEYWORDS
-C
-C     Elementary matrix operations, matrix algebra, matrix operations.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION  ZERO, ONE
-      PARAMETER         ( ZERO = 0.0D0, ONE = 1.0D0 )
-C     .. Scalar Arguments ..
-      CHARACTER         SIDE, TRANS, UPLO
-      INTEGER           INFO, LDA, LDB, LDR, M, N
-      DOUBLE PRECISION  ALPHA, BETA
-C     .. Array Arguments ..
-      DOUBLE PRECISION  A(LDA,*), B(LDB,*), R(LDR,*)
-C     .. Local Scalars ..
-      LOGICAL           LSIDE, LTRANS, LUPLO
-      INTEGER           J
-C     .. External Functions ..
-      LOGICAL           LSAME
-      EXTERNAL          LSAME
-C     .. External Subroutines ..
-      EXTERNAL          DGEMV, DLASCL, DLASET, XERBLA
-C     .. Intrinsic Functions ..
-      INTRINSIC         MAX
-C     .. Executable Statements ..
-C
-C     Test the input scalar arguments.
-C
-      INFO   = 0
-      LSIDE  = LSAME( SIDE,  'L' )
-      LUPLO  = LSAME( UPLO,  'U' )
-      LTRANS = LSAME( TRANS, 'T' ) .OR. LSAME( TRANS, 'C' )
-C
-      IF(      ( .NOT.LSIDE  ).AND.( .NOT.LSAME( SIDE,  'R' ) ) )THEN
-         INFO = -1
-      ELSE IF( ( .NOT.LUPLO  ).AND.( .NOT.LSAME( UPLO,  'L' ) ) )THEN
-         INFO = -2
-      ELSE IF( ( .NOT.LTRANS ).AND.( .NOT.LSAME( TRANS, 'N' ) ) )THEN
-         INFO = -3
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -5
-      ELSE IF( LDR.LT.MAX( 1, M ) ) THEN
-         INFO = -9
-      ELSE IF( LDA.LT.1 .OR.
-     $   ( ( (      LSIDE .AND. .NOT.LTRANS ) .OR.
-     $       ( .NOT.LSIDE .AND.      LTRANS ) ) .AND. LDA.LT.M ) .OR.
-     $   ( ( (      LSIDE .AND.      LTRANS ) .OR.
-     $       ( .NOT.LSIDE .AND. .NOT.LTRANS ) ) .AND. LDA.LT.N ) ) THEN
-         INFO = -11
-      ELSE IF( LDB.LT.1 .OR.
-     $       (      LSIDE .AND. LDB.LT.N ) .OR.
-     $       ( .NOT.LSIDE .AND. LDB.LT.M ) ) THEN
-         INFO = -13
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'MB01RX', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF ( M.EQ.0 )
-     $   RETURN
-C
-      IF ( BETA.EQ.ZERO .OR. N.EQ.0 ) THEN
-         IF ( ALPHA.EQ.ZERO ) THEN
-C
-C           Special case alpha = 0.
-C
-            CALL DLASET( UPLO, M, M, ZERO, ZERO, R, LDR )
-         ELSE
-C
-C           Special case beta = 0 or N = 0.
-C
-            IF ( ALPHA.NE.ONE )
-     $         CALL DLASCL( UPLO, 0, 0, ONE, ALPHA, M, M, R, LDR, INFO )
-         END IF
-         RETURN
-      END IF
-C
-C     General case: beta <> 0.
-C     Compute the required triangle of (1) or (2) using BLAS 2
-C     operations.
-C
-      IF( LSIDE ) THEN
-         IF( LUPLO ) THEN
-            IF ( LTRANS ) THEN
-               DO 10 J = 1, M
-                  CALL DGEMV( TRANS, N, J, BETA, A, LDA, B(1,J), 1,
-     $                        ALPHA, R(1,J), 1 )
-   10          CONTINUE
-            ELSE
-               DO 20 J = 1, M
-                  CALL DGEMV( TRANS, J, N, BETA, A, LDA, B(1,J), 1,
-     $                        ALPHA, R(1,J), 1 )
-   20          CONTINUE
-            END IF
-         ELSE
-            IF ( LTRANS ) THEN
-               DO 30 J = 1, M
-                  CALL DGEMV( TRANS, N, M-J+1, BETA, A(1,J), LDA,
-     $                        B(1,J), 1, ALPHA, R(J,J), 1 )
-   30          CONTINUE
-            ELSE
-               DO 40 J = 1, M
-                  CALL DGEMV( TRANS, M-J+1, N, BETA, A(J,1), LDA,
-     $                        B(1,J), 1, ALPHA, R(J,J), 1 )
-   40          CONTINUE
-            END IF
-         END IF
-C
-      ELSE
-         IF( LUPLO ) THEN
-            IF( LTRANS ) THEN
-               DO 50 J = 1, M
-                  CALL DGEMV( 'NoTranspose', J, N, BETA, B, LDB, A(J,1),
-     $                        LDA, ALPHA, R(1,J), 1 )
-   50          CONTINUE
-            ELSE
-               DO 60 J = 1, M
-                  CALL DGEMV( 'NoTranspose', J, N, BETA, B, LDB, A(1,J),
-     $                        1, ALPHA, R(1,J), 1 )
-   60          CONTINUE
-            END IF
-         ELSE
-            IF( LTRANS ) THEN
-               DO 70 J = 1, M
-                  CALL DGEMV( 'NoTranspose', M-J+1, N, BETA, B(J,1),
-     $                        LDB, A(J,1), LDA, ALPHA, R(J,J), 1 )
-   70           CONTINUE
-            ELSE
-               DO 80 J = 1, M
-                  CALL DGEMV( 'NoTranspose', M-J+1, N, BETA, B(J,1),
-     $                        LDB, A(1,J), 1, ALPHA, R(J,J), 1 )
-   80          CONTINUE
-            END IF
-         END IF
-      END IF
-C
-      RETURN
-C *** Last line of MB01RX ***
-      END
--- a/extra/control-devel/devel/dksyn/MB01RY.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,429 +0,0 @@
-      SUBROUTINE MB01RY( SIDE, UPLO, TRANS, M, ALPHA, BETA, R, LDR, H,
-     $                   LDH, B, LDB, DWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To compute either the upper or lower triangular part of one of the
-C     matrix formulas
-C        _
-C        R = alpha*R + beta*op( H )*B,                               (1)
-C        _
-C        R = alpha*R + beta*B*op( H ),                               (2)
-C                                                    _
-C     where alpha and beta are scalars, H, B, R, and R are m-by-m
-C     matrices, H is an upper Hessenberg matrix, and op( H ) is one of
-C
-C        op( H ) = H   or   op( H ) = H',  the transpose of H.
-C
-C     The result is overwritten on R.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     SIDE    CHARACTER*1
-C             Specifies whether the Hessenberg matrix H appears on the
-C             left or right in the matrix product as follows:
-C                     _
-C             = 'L':  R = alpha*R + beta*op( H )*B;
-C                     _
-C             = 'R':  R = alpha*R + beta*B*op( H ).
-C
-C     UPLO    CHARACTER*1                               _
-C             Specifies which triangles of the matrices R and R are
-C             computed and given, respectively, as follows:
-C             = 'U':  the upper triangular part;
-C             = 'L':  the lower triangular part.
-C
-C     TRANS   CHARACTER*1
-C             Specifies the form of op( H ) to be used in the matrix
-C             multiplication as follows:
-C             = 'N':  op( H ) = H;
-C             = 'T':  op( H ) = H';
-C             = 'C':  op( H ) = H'.
-C
-C     Input/Output Parameters
-C
-C     M       (input) INTEGER           _
-C             The order of the matrices R, R, H and B.  M >= 0.
-C
-C     ALPHA   (input) DOUBLE PRECISION
-C             The scalar alpha. When alpha is zero then R need not be
-C             set before entry.
-C
-C     BETA    (input) DOUBLE PRECISION
-C             The scalar beta. When beta is zero then H and B are not
-C             referenced.
-C
-C     R       (input/output) DOUBLE PRECISION array, dimension (LDR,M)
-C             On entry with UPLO = 'U', the leading M-by-M upper
-C             triangular part of this array must contain the upper
-C             triangular part of the matrix R; the strictly lower
-C             triangular part of the array is not referenced.
-C             On entry with UPLO = 'L', the leading M-by-M lower
-C             triangular part of this array must contain the lower
-C             triangular part of the matrix R; the strictly upper
-C             triangular part of the array is not referenced.
-C             On exit, the leading M-by-M upper triangular part (if
-C             UPLO = 'U'), or lower triangular part (if UPLO = 'L') of
-C             this array contains the corresponding triangular part of
-C                                 _
-C             the computed matrix R.
-C
-C     LDR     INTEGER
-C             The leading dimension of array R.  LDR >= MAX(1,M).
-C
-C     H       (input) DOUBLE PRECISION array, dimension (LDH,M)
-C             On entry, the leading M-by-M upper Hessenberg part of
-C             this array must contain the upper Hessenberg part of the
-C             matrix H.
-C             The elements below the subdiagonal are not referenced,
-C             except possibly for those in the first column, which
-C             could be overwritten, but are restored on exit.
-C
-C     LDH     INTEGER
-C             The leading dimension of array H.  LDH >= MAX(1,M).
-C
-C     B       (input) DOUBLE PRECISION array, dimension (LDB,M)
-C             On entry, the leading M-by-M part of this array must
-C             contain the matrix B.
-C
-C     LDB     INTEGER
-C             The leading dimension of array B.  LDB >= MAX(1,M).
-C
-C     Workspace
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             LDWORK >= M, if  beta <> 0 and SIDE = 'L';
-C             LDWORK >= 0, if  beta =  0 or  SIDE = 'R'.
-C             This array is not referenced when beta = 0 or SIDE = 'R'.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value.
-C
-C     METHOD
-C
-C     The matrix expression is efficiently evaluated taking the
-C     Hessenberg/triangular structure into account. BLAS 2 operations
-C     are used. A block algorithm can be constructed; it can use BLAS 3
-C     GEMM operations for most computations, and calls of this BLAS 2
-C     algorithm for computing the triangles.
-C
-C     FURTHER COMMENTS
-C
-C     The main application of this routine is when the result should
-C     be a symmetric matrix, e.g., when B = X*op( H )', for (1), or
-C     B = op( H )'*X, for (2), where B is already available and X = X'.
-C
-C     CONTRIBUTORS
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, Feb. 1999.
-C
-C     REVISIONS
-C
-C     -
-C
-C     KEYWORDS
-C
-C     Elementary matrix operations, matrix algebra, matrix operations.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION  ZERO, ONE
-      PARAMETER         ( ZERO = 0.0D0, ONE = 1.0D0 )
-C     .. Scalar Arguments ..
-      CHARACTER         SIDE, TRANS, UPLO
-      INTEGER           INFO, LDB, LDH, LDR, M
-      DOUBLE PRECISION  ALPHA, BETA
-C     .. Array Arguments ..
-      DOUBLE PRECISION  B(LDB,*), DWORK(*), H(LDH,*), R(LDR,*)
-C     .. Local Scalars ..
-      LOGICAL           LSIDE, LTRANS, LUPLO
-      INTEGER           I, J
-C     .. External Functions ..
-      LOGICAL           LSAME
-      DOUBLE PRECISION  DDOT
-      EXTERNAL          DDOT, LSAME
-C     .. External Subroutines ..
-      EXTERNAL          DCOPY, DGEMV, DLASCL, DLASET, DSCAL, DSWAP,
-     $                  DTRMV, XERBLA
-C     .. Intrinsic Functions ..
-      INTRINSIC         MAX, MIN
-C     .. Executable Statements ..
-C
-C     Test the input scalar arguments.
-C
-      INFO   = 0
-      LSIDE  = LSAME( SIDE,  'L' )
-      LUPLO  = LSAME( UPLO,  'U' )
-      LTRANS = LSAME( TRANS, 'T' ) .OR. LSAME( TRANS, 'C' )
-C
-      IF(      ( .NOT.LSIDE  ).AND.( .NOT.LSAME( SIDE,  'R' ) ) )THEN
-         INFO = -1
-      ELSE IF( ( .NOT.LUPLO  ).AND.( .NOT.LSAME( UPLO,  'L' ) ) )THEN
-         INFO = -2
-      ELSE IF( ( .NOT.LTRANS ).AND.( .NOT.LSAME( TRANS, 'N' ) ) )THEN
-         INFO = -3
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( LDR.LT.MAX( 1, M ) ) THEN
-         INFO = -8
-      ELSE IF( LDH.LT.MAX( 1, M ) ) THEN
-         INFO = -10
-      ELSE IF( LDB.LT.MAX( 1, M ) ) THEN
-         INFO = -12
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'MB01RY', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF ( M.EQ.0 )
-     $   RETURN
-C
-      IF ( BETA.EQ.ZERO ) THEN
-         IF ( ALPHA.EQ.ZERO ) THEN
-C
-C           Special case when both alpha = 0 and beta = 0.
-C
-            CALL DLASET( UPLO, M, M, ZERO, ZERO, R, LDR )
-         ELSE
-C
-C           Special case beta = 0.
-C
-            IF ( ALPHA.NE.ONE )
-     $         CALL DLASCL( UPLO, 0, 0, ONE, ALPHA, M, M, R, LDR, INFO )
-         END IF
-         RETURN
-      END IF
-C
-C     General case: beta <> 0.
-C     Compute the required triangle of (1) or (2) using BLAS 2
-C     operations.
-C
-      IF( LSIDE ) THEN
-C
-C        To avoid repeated references to the subdiagonal elements of H,
-C        these are swapped with the corresponding elements of H in the
-C        first column, and are finally restored.
-C
-         IF( M.GT.2 )
-     $      CALL DSWAP( M-2, H( 3, 2 ), LDH+1, H( 3, 1 ), 1 )
-C
-         IF( LUPLO ) THEN
-            IF ( LTRANS ) THEN
-C
-               DO 20 J = 1, M
-C
-C                 Multiply the transposed upper triangle of the leading
-C                 j-by-j submatrix of H by the leading part of the j-th
-C                 column of B.
-C
-                  CALL DCOPY( J, B( 1, J ), 1, DWORK, 1 )
-                  CALL DTRMV( 'Upper', TRANS, 'Non-unit', J, H, LDH,
-     $                        DWORK, 1 )
-C
-C                 Add the contribution of the subdiagonal of H to
-C                 the j-th column of the product.
-C
-                  DO 10 I = 1, MIN( J, M - 1 )
-                     R( I, J ) = ALPHA*R( I, J ) + BETA*( DWORK( I ) +
-     $                           H( I+1, 1 )*B( I+1, J ) )
-   10             CONTINUE
-C
-   20          CONTINUE
-C
-               R( M, M ) = ALPHA*R( M, M ) + BETA*DWORK( M )
-C
-            ELSE
-C
-               DO 40 J = 1, M
-C
-C                 Multiply the upper triangle of the leading j-by-j
-C                 submatrix of H by the leading part of the j-th column
-C                 of B.
-C
-                  CALL DCOPY( J, B( 1, J ), 1, DWORK, 1 )
-                  CALL DTRMV( 'Upper', TRANS, 'Non-unit', J, H, LDH,
-     $                        DWORK, 1 )
-                  IF( J.LT.M ) THEN
-C
-C                    Multiply the remaining right part of the leading
-C                    j-by-M submatrix of H by the trailing part of the
-C                    j-th column of B.
-C
-                     CALL DGEMV( TRANS, J, M-J, BETA, H( 1, J+1 ), LDH,
-     $                           B( J+1, J ), 1, ALPHA, R( 1, J ), 1 )
-                  ELSE
-                     CALL DSCAL( M, ALPHA, R( 1, M ), 1 )
-                  END IF
-C
-C                 Add the contribution of the subdiagonal of H to
-C                 the j-th column of the product.
-C
-                  R( 1, J ) = R( 1, J ) + BETA*DWORK( 1 )
-C
-                  DO 30 I = 2, J
-                     R( I, J ) = R( I, J ) + BETA*( DWORK( I ) +
-     $                           H( I, 1 )*B( I-1, J ) )
-   30             CONTINUE
-C
-   40          CONTINUE
-C
-            END IF
-C
-         ELSE
-C
-            IF ( LTRANS ) THEN
-C
-               DO 60 J = M, 1, -1
-C
-C                 Multiply the transposed upper triangle of the trailing
-C                 (M-j+1)-by-(M-j+1) submatrix of H by the trailing part
-C                 of the j-th column of B.
-C
-                  CALL DCOPY( M-J+1, B( J, J ), 1, DWORK( J ), 1 )
-                  CALL DTRMV( 'Upper', TRANS, 'Non-unit', M-J+1,
-     $                        H( J, J ), LDH, DWORK( J ), 1 )
-                  IF( J.GT.1 ) THEN
-C
-C                    Multiply the remaining left part of the trailing
-C                    (M-j+1)-by-(j-1) submatrix of H' by the leading
-C                    part of the j-th column of B.
-C
-                     CALL DGEMV( TRANS, J-1, M-J+1, BETA, H( 1, J ),
-     $                           LDH, B( 1, J ), 1, ALPHA, R( J, J ),
-     $                           1 )
-                  ELSE
-                     CALL DSCAL( M, ALPHA, R( 1, 1 ), 1 )
-                  END IF
-C
-C                 Add the contribution of the subdiagonal of H to
-C                 the j-th column of the product.
-C
-                  DO 50 I = J, M - 1
-                     R( I, J ) = R( I, J ) + BETA*( DWORK( I ) +
-     $                           H( I+1, 1 )*B( I+1, J ) )
-   50             CONTINUE
-C
-                  R( M, J ) = R( M, J ) + BETA*DWORK( M )
-   60          CONTINUE
-C
-            ELSE
-C
-               DO 80 J = M, 1, -1
-C
-C                 Multiply the upper triangle of the trailing
-C                 (M-j+1)-by-(M-j+1) submatrix of H by the trailing
-C                 part of the j-th column of B.
-C
-                  CALL DCOPY( M-J+1, B( J, J ), 1, DWORK( J ), 1 )
-                  CALL DTRMV( 'Upper', TRANS, 'Non-unit', M-J+1,
-     $                        H( J, J ), LDH, DWORK( J ), 1 )
-C
-C                 Add the contribution of the subdiagonal of H to
-C                 the j-th column of the product.
-C
-                  DO 70 I = MAX( J, 2 ), M
-                     R( I, J ) = ALPHA*R( I, J ) + BETA*( DWORK( I )
-     $                               + H( I, 1 )*B( I-1, J ) )
-   70             CONTINUE
-C
-   80          CONTINUE
-C
-               R( 1, 1 ) = ALPHA*R( 1, 1 ) + BETA*DWORK( 1 )
-C
-            END IF
-         END IF
-C
-         IF( M.GT.2 )
-     $      CALL DSWAP( M-2, H( 3, 2 ), LDH+1, H( 3, 1 ), 1 )
-C
-      ELSE
-C
-C        Row-wise calculations are used for H, if SIDE = 'R' and
-C        TRANS = 'T'.
-C
-         IF( LUPLO ) THEN
-            IF( LTRANS ) THEN
-               R( 1, 1 ) = ALPHA*R( 1, 1 ) +
-     $                     BETA*DDOT( M, B, LDB, H, LDH )
-C
-               DO 90 J = 2, M
-                  CALL DGEMV( 'NoTranspose', J, M-J+2, BETA,
-     $                        B( 1, J-1 ), LDB, H( J, J-1 ), LDH,
-     $                        ALPHA, R( 1, J ), 1 )
-   90          CONTINUE
-C
-            ELSE
-C
-               DO 100 J = 1, M - 1
-                  CALL DGEMV( 'NoTranspose', J, J+1, BETA, B, LDB,
-     $                        H( 1, J ), 1, ALPHA, R( 1, J ), 1 )
-  100          CONTINUE
-C
-               CALL DGEMV( 'NoTranspose', M, M, BETA, B, LDB,
-     $                     H( 1, M ), 1, ALPHA, R( 1, M ), 1 )
-C
-            END IF
-C
-         ELSE
-C
-            IF( LTRANS ) THEN
-C
-               CALL DGEMV( 'NoTranspose', M, M, BETA, B, LDB, H, LDH,
-     $                     ALPHA, R( 1, 1 ), 1 )
-C
-               DO 110 J = 2, M
-                  CALL DGEMV( 'NoTranspose', M-J+1, M-J+2, BETA,
-     $                        B( J, J-1 ), LDB, H( J, J-1 ), LDH, ALPHA,
-     $                        R( J, J ), 1 )
-  110          CONTINUE
-C
-            ELSE
-C
-               DO 120 J = 1, M - 1
-                  CALL DGEMV( 'NoTranspose', M-J+1, J+1, BETA,
-     $                        B( J, 1 ), LDB, H( 1, J ), 1, ALPHA,
-     $                        R( J, J ), 1 )
-  120          CONTINUE
-C
-               R( M, M ) = ALPHA*R( M, M ) +
-     $                     BETA*DDOT( M, B( M, 1 ), LDB, H( 1, M ), 1 )
-C
-            END IF
-         END IF
-      END IF
-C
-      RETURN
-C *** Last line of MB01RY ***
-      END
--- a/extra/control-devel/devel/dksyn/MB01SD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,123 +0,0 @@
-      SUBROUTINE MB01SD( JOBS, M, N, A, LDA, R, C )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To scale a general M-by-N matrix A using the row and column
-C     scaling factors in the vectors R and C.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     JOBS    CHARACTER*1
-C             Specifies the scaling operation to be done, as follows:
-C             = 'R':  row scaling, i.e., A will be premultiplied
-C                     by diag(R);
-C             = 'C':  column scaling, i.e., A will be postmultiplied
-C                     by diag(C);
-C             = 'B':  both row and column scaling, i.e., A will be
-C                     replaced by diag(R) * A * diag(C).
-C
-C     Input/Output Parameters
-C
-C     M       (input) INTEGER
-C             The number of rows of the matrix A.  M >= 0.
-C
-C     N       (input) INTEGER
-C             The number of columns of the matrix A.  N >= 0.
-C
-C     A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
-C             On entry, the M-by-N matrix A.
-C             On exit, the scaled matrix.  See JOBS for the form of the
-C             scaled matrix.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.  LDA >= max(1,M).
-C
-C     R       (input) DOUBLE PRECISION array, dimension (M)
-C             The row scale factors for A.
-C             R is not referenced if JOBS = 'C'.
-C
-C     C       (input) DOUBLE PRECISION array, dimension (N)
-C             The column scale factors for A.
-C             C is not referenced if JOBS = 'R'.
-C
-C
-C     CONTRIBUTOR
-C
-C     A. Varga, German Aerospace Center,
-C     DLR Oberpfaffenhofen, April 1998.
-C     Based on the RASP routine DMSCAL.
-C
-C    ******************************************************************
-C
-C     .. Scalar Arguments ..
-      CHARACTER          JOBS
-      INTEGER            LDA, M, N
-C     .. Array Arguments ..
-      DOUBLE PRECISION   A(LDA,*), C(*), R(*)
-C     .. Local Scalars ..
-      INTEGER            I, J
-      DOUBLE PRECISION   CJ
-C     .. External Functions ..
-      LOGICAL            LSAME
-      EXTERNAL           LSAME
-C     .. Executable Statements ..
-C
-C     Quick return if possible.
-C
-      IF( M.EQ.0 .OR. N.EQ.0 )
-     $   RETURN
-C
-      IF( LSAME( JOBS, 'C' ) ) THEN
-C
-C        Column scaling, no row scaling.
-C
-         DO 20 J = 1, N
-            CJ = C(J)
-            DO 10 I = 1, M
-               A(I,J) = CJ*A(I,J)
-   10       CONTINUE
-   20    CONTINUE
-      ELSE IF( LSAME( JOBS, 'R' ) ) THEN
-C
-C        Row scaling, no column scaling.
-C
-         DO 40 J = 1, N
-            DO 30 I = 1, M
-               A(I,J) = R(I)*A(I,J)
-   30       CONTINUE
-   40    CONTINUE
-      ELSE IF( LSAME( JOBS, 'B' ) ) THEN
-C
-C        Row and column scaling.
-C
-         DO 60 J = 1, N
-            CJ = C(J)
-            DO 50 I = 1, M
-               A(I,J) = CJ*R(I)*A(I,J)
-   50       CONTINUE
-   60    CONTINUE
-      END IF
-C
-      RETURN
-C *** Last line of MB01SD ***
-      END
--- a/extra/control-devel/devel/dksyn/MB01UD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,238 +0,0 @@
-      SUBROUTINE MB01UD( SIDE, TRANS, M, N, ALPHA, H, LDH, A, LDA, B,
-     $                   LDB, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To compute one of the matrix products
-C
-C        B = alpha*op( H ) * A, or B = alpha*A * op( H ),
-C
-C     where alpha is a scalar, A and B are m-by-n matrices, H is an
-C     upper Hessenberg matrix, and op( H ) is one of
-C
-C        op( H ) = H   or   op( H ) = H',  the transpose of H.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     SIDE    CHARACTER*1
-C             Specifies whether the Hessenberg matrix H appears on the
-C             left or right in the matrix product as follows:
-C             = 'L':  B = alpha*op( H ) * A;
-C             = 'R':  B = alpha*A * op( H ).
-C
-C     TRANS   CHARACTER*1
-C             Specifies the form of op( H ) to be used in the matrix
-C             multiplication as follows:
-C             = 'N':  op( H ) = H;
-C             = 'T':  op( H ) = H';
-C             = 'C':  op( H ) = H'.
-C
-C     Input/Output Parameters
-C
-C     M       (input) INTEGER
-C             The number of rows of the matrices A and B.  M >= 0.
-C
-C     N       (input) INTEGER
-C             The number of columns of the matrices A and B.  N >= 0.
-C
-C     ALPHA   (input) DOUBLE PRECISION
-C             The scalar alpha. When alpha is zero then H is not
-C             referenced and A need not be set before entry.
-C
-C     H       (input) DOUBLE PRECISION array, dimension (LDH,k)
-C             where k is M when SIDE = 'L' and is N when SIDE = 'R'.
-C             On entry with SIDE = 'L', the leading M-by-M upper
-C             Hessenberg part of this array must contain the upper
-C             Hessenberg matrix H.
-C             On entry with SIDE = 'R', the leading N-by-N upper
-C             Hessenberg part of this array must contain the upper
-C             Hessenberg matrix H.
-C             The elements below the subdiagonal are not referenced,
-C             except possibly for those in the first column, which
-C             could be overwritten, but are restored on exit.
-C
-C     LDH     INTEGER
-C             The leading dimension of the array H.  LDH >= max(1,k),
-C             where k is M when SIDE = 'L' and is N when SIDE = 'R'.
-C
-C     A       (input) DOUBLE PRECISION array, dimension (LDA,N)
-C             The leading M-by-N part of this array must contain the
-C             matrix A.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.  LDA >= max(1,M).
-C
-C     B       (output) DOUBLE PRECISION array, dimension (LDB,N)
-C             The leading M-by-N part of this array contains the
-C             computed product.
-C
-C     LDB     INTEGER
-C             The leading dimension of the array B.  LDB >= max(1,M).
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value.
-C
-C     METHOD
-C
-C     The required matrix product is computed in two steps. In the first
-C     step, the upper triangle of H is used; in the second step, the
-C     contribution of the subdiagonal is added. A fast BLAS 3 DTRMM
-C     operation is used in the first step.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, January 1999.
-C
-C     REVISIONS
-C
-C     -
-C
-C     KEYWORDS
-C
-C     Elementary matrix operations, matrix operations.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION  ZERO, ONE
-      PARAMETER         ( ZERO = 0.0D0, ONE = 1.0D0 )
-C     .. Scalar Arguments ..
-      CHARACTER         SIDE, TRANS
-      INTEGER           INFO, LDA, LDB, LDH, M, N
-      DOUBLE PRECISION  ALPHA
-C     .. Array Arguments ..
-      DOUBLE PRECISION  A(LDA,*), B(LDB,*), H(LDH,*)
-C     .. Local Scalars ..
-      LOGICAL           LSIDE, LTRANS
-      INTEGER           I, J
-C     .. External Functions ..
-      LOGICAL           LSAME
-      EXTERNAL          LSAME
-C     .. External Subroutines ..
-      EXTERNAL          DAXPY, DLACPY, DLASET, DSWAP, DTRMM, XERBLA
-C     .. Intrinsic Functions ..
-      INTRINSIC         MAX, MIN
-C
-C     .. Executable Statements ..
-C
-C     Test the input scalar arguments.
-C
-      INFO   = 0
-      LSIDE  = LSAME( SIDE,  'L' )
-      LTRANS = LSAME( TRANS, 'T' ) .OR. LSAME( TRANS, 'C' )
-C
-      IF(      ( .NOT.LSIDE  ).AND.( .NOT.LSAME( SIDE,  'R' ) ) )THEN
-         INFO = -1
-      ELSE IF( ( .NOT.LTRANS ).AND.( .NOT.LSAME( TRANS, 'N' ) ) )THEN
-         INFO = -2
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( LDH.LT.1 .OR. ( LSIDE .AND. LDH.LT.M ) .OR.
-     $                  ( .NOT.LSIDE .AND. LDH.LT.N ) ) THEN
-         INFO = -7
-      ELSE IF( LDA.LT.MAX( 1, M ) ) THEN
-         INFO = -9
-      ELSE IF( LDB.LT.MAX( 1, M ) ) THEN
-         INFO = -11
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'MB01UD', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return, if possible.
-C
-      IF ( MIN( M, N ).EQ.0 )
-     $   RETURN
-C
-      IF( ALPHA.EQ.ZERO ) THEN
-C
-C        Set B to zero and return.
-C
-         CALL DLASET( 'Full', M, N, ZERO, ZERO, B, LDB )
-         RETURN
-      END IF
-C
-C     Copy A in B and compute one of the matrix products
-C       B = alpha*op( triu( H ) ) * A, or
-C       B = alpha*A * op( triu( H ) ),
-C     involving the upper triangle of H.
-C
-      CALL DLACPY( 'Full', M, N, A, LDA, B, LDB )
-      CALL DTRMM( SIDE, 'Upper', TRANS, 'Non-unit', M, N, ALPHA, H,
-     $            LDH, B, LDB )
-C
-C     Add the contribution of the subdiagonal of H.
-C     If SIDE = 'L', the subdiagonal of H is swapped with the
-C     corresponding elements in the first column of H, and the
-C     calculations are organized for column operations.
-C
-      IF( LSIDE ) THEN
-         IF( M.GT.2 )
-     $      CALL DSWAP( M-2, H( 3, 2 ), LDH+1, H( 3, 1 ), 1 )
-         IF( LTRANS ) THEN
-            DO 20 J = 1, N
-               DO 10 I = 1, M - 1
-                  B( I, J ) = B( I, J ) + ALPHA*H( I+1, 1 )*A( I+1, J )
-   10          CONTINUE
-   20       CONTINUE
-         ELSE
-            DO 40 J = 1, N
-               DO 30 I = 2, M
-                  B( I, J ) = B( I, J ) + ALPHA*H( I, 1 )*A( I-1, J )
-   30          CONTINUE
-   40       CONTINUE
-         END IF
-         IF( M.GT.2 )
-     $      CALL DSWAP( M-2, H( 3, 2 ), LDH+1, H( 3, 1 ), 1 )
-C
-      ELSE
-C
-         IF( LTRANS ) THEN
-            DO 50 J = 1, N - 1
-               IF ( H( J+1, J ).NE.ZERO )
-     $            CALL DAXPY( M, ALPHA*H( J+1, J ), A( 1, J ), 1,
-     $                        B( 1, J+1 ), 1 )
-   50       CONTINUE
-         ELSE
-            DO 60 J = 1, N - 1
-               IF ( H( J+1, J ).NE.ZERO )
-     $            CALL DAXPY( M, ALPHA*H( J+1, J ), A( 1, J+1 ), 1,
-     $                        B( 1, J ), 1 )
-   60       CONTINUE
-         END IF
-      END IF
-C
-      RETURN
-C *** Last line of MB01UD ***
-      END
--- a/extra/control-devel/devel/dksyn/MB02PD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,553 +0,0 @@
-      SUBROUTINE MB02PD( FACT, TRANS, N, NRHS, A, LDA, AF, LDAF, IPIV,
-     $                   EQUED, R, C, B, LDB, X, LDX, RCOND, FERR, BERR,
-     $                   IWORK, DWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To solve (if well-conditioned) the matrix equations
-C
-C        op( A )*X = B,
-C
-C     where X and B are N-by-NRHS matrices, A is an N-by-N matrix and
-C     op( A ) is one of
-C
-C        op( A ) = A   or   op( A ) = A'.
-C
-C     Error bounds on the solution and a condition estimate are also
-C     provided.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     FACT    CHARACTER*1
-C             Specifies whether or not the factored form of the matrix A
-C             is supplied on entry, and if not, whether the matrix A
-C             should be equilibrated before it is factored.
-C             = 'F':  On entry, AF and IPIV contain the factored form
-C                     of A. If EQUED is not 'N', the matrix A has been
-C                     equilibrated with scaling factors given by R
-C                     and C. A, AF, and IPIV are not modified.
-C             = 'N':  The matrix A will be copied to AF and factored.
-C             = 'E':  The matrix A will be equilibrated if necessary,
-C                     then copied to AF and factored.
-C
-C     TRANS   CHARACTER*1
-C             Specifies the form of the system of equations as follows:
-C             = 'N':  A * X = B     (No transpose);
-C             = 'T':  A**T * X = B  (Transpose);
-C             = 'C':  A**H * X = B  (Transpose).
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The number of linear equations, i.e., the order of the
-C             matrix A.  N >= 0.
-C
-C     NRHS    (input) INTEGER
-C             The number of right hand sides, i.e., the number of
-C             columns of the matrices B and X.  NRHS >= 0.
-C
-C     A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
-C             On entry, the leading N-by-N part of this array must
-C             contain the matrix A.  If FACT = 'F' and EQUED is not 'N',
-C             then A must have been equilibrated by the scaling factors
-C             in R and/or C.  A is not modified if FACT = 'F' or 'N',
-C             or if FACT = 'E' and EQUED = 'N' on exit.
-C             On exit, if EQUED .NE. 'N', the leading N-by-N part of
-C             this array contains the matrix A scaled as follows:
-C             EQUED = 'R':  A := diag(R) * A;
-C             EQUED = 'C':  A := A * diag(C);
-C             EQUED = 'B':  A := diag(R) * A * diag(C).
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.  LDA >= max(1,N).
-C
-C     AF      (input or output) DOUBLE PRECISION array, dimension
-C             (LDAF,N)
-C             If FACT = 'F', then AF is an input argument and on entry
-C             the leading N-by-N part of this array must contain the
-C             factors L and U from the factorization A = P*L*U as
-C             computed by DGETRF.  If EQUED .NE. 'N', then AF is the
-C             factored form of the equilibrated matrix A.
-C             If FACT = 'N', then AF is an output argument and on exit
-C             the leading N-by-N part of this array contains the factors
-C             L and U from the factorization A = P*L*U of the original
-C             matrix A.
-C             If FACT = 'E', then AF is an output argument and on exit
-C             the leading N-by-N part of this array contains the factors
-C             L and U from the factorization A = P*L*U of the
-C             equilibrated matrix A (see the description of A for the
-C             form of the equilibrated matrix).
-C
-C     LDAF    (input) INTEGER
-C             The leading dimension of the array AF.  LDAF >= max(1,N).
-C
-C     IPIV    (input or output) INTEGER array, dimension (N)
-C             If FACT = 'F', then IPIV is an input argument and on entry
-C             it must contain the pivot indices from the factorization
-C             A = P*L*U as computed by DGETRF; row i of the matrix was
-C             interchanged with row IPIV(i).
-C             If FACT = 'N', then IPIV is an output argument and on exit
-C             it contains the pivot indices from the factorization
-C             A = P*L*U of the original matrix A.
-C             If FACT = 'E', then IPIV is an output argument and on exit
-C             it contains the pivot indices from the factorization
-C             A = P*L*U of the equilibrated matrix A.
-C
-C     EQUED   (input or output) CHARACTER*1
-C             Specifies the form of equilibration that was done as
-C             follows:
-C             = 'N':  No equilibration (always true if FACT = 'N');
-C             = 'R':  Row equilibration, i.e., A has been premultiplied
-C                     by diag(R);
-C             = 'C':  Column equilibration, i.e., A has been
-C                     postmultiplied by diag(C);
-C             = 'B':  Both row and column equilibration, i.e., A has
-C                     been replaced by diag(R) * A * diag(C).
-C             EQUED is an input argument if FACT = 'F'; otherwise, it is
-C             an output argument.
-C
-C     R       (input or output) DOUBLE PRECISION array, dimension (N)
-C             The row scale factors for A.  If EQUED = 'R' or 'B', A is
-C             multiplied on the left by diag(R); if EQUED = 'N' or 'C',
-C             R is not accessed.  R is an input argument if FACT = 'F';
-C             otherwise, R is an output argument.  If FACT = 'F' and
-C             EQUED = 'R' or 'B', each element of R must be positive.
-C
-C     C       (input or output) DOUBLE PRECISION array, dimension (N)
-C             The column scale factors for A.  If EQUED = 'C' or 'B',
-C             A is multiplied on the right by diag(C); if EQUED = 'N'
-C             or 'R', C is not accessed.  C is an input argument if
-C             FACT = 'F'; otherwise, C is an output argument.  If
-C             FACT = 'F' and EQUED = 'C' or 'B', each element of C must
-C             be positive.
-C
-C     B       (input/output) DOUBLE PRECISION array, dimension
-C             (LDB,NRHS)
-C             On entry, the leading N-by-NRHS part of this array must
-C             contain the right-hand side matrix B.
-C             On exit,
-C             if EQUED = 'N', B is not modified;
-C             if TRANS = 'N' and EQUED = 'R' or 'B', the leading
-C             N-by-NRHS part of this array contains diag(R)*B;
-C             if TRANS = 'T' or 'C' and EQUED = 'C' or 'B', the leading
-C             N-by-NRHS part of this array contains diag(C)*B.
-C
-C     LDB     INTEGER
-C             The leading dimension of the array B.  LDB >= max(1,N).
-C
-C     X       (output) DOUBLE PRECISION array, dimension (LDX,NRHS)
-C             If INFO = 0 or INFO = N+1, the leading N-by-NRHS part of
-C             this array contains the solution matrix X to the original
-C             system of equations.  Note that A and B are modified on
-C             exit if EQUED .NE. 'N', and the solution to the
-C             equilibrated system is inv(diag(C))*X if TRANS = 'N' and
-C             EQUED = 'C' or 'B', or inv(diag(R))*X if TRANS = 'T' or
-C             'C' and EQUED = 'R' or 'B'.
-C
-C     LDX     (input) INTEGER
-C             The leading dimension of the array X.  LDX >= max(1,N).
-C
-C     RCOND   (output) DOUBLE PRECISION
-C             The estimate of the reciprocal condition number of the
-C             matrix A after equilibration (if done).  If RCOND is less
-C             than the machine precision (in particular, if RCOND = 0),
-C             the matrix is singular to working precision.  This
-C             condition is indicated by a return code of INFO > 0.
-C             For efficiency reasons, RCOND is computed only when the
-C             matrix A is factored, i.e., for FACT = 'N' or 'E'.  For
-C             FACT = 'F', RCOND is not used, but it is assumed that it
-C             has been computed and checked before the routine call.
-C
-C     FERR    (output) DOUBLE PRECISION array, dimension (NRHS)
-C             The estimated forward error bound for each solution vector
-C             X(j) (the j-th column of the solution matrix X).
-C             If XTRUE is the true solution corresponding to X(j),
-C             FERR(j) is an estimated upper bound for the magnitude of
-C             the largest element in (X(j) - XTRUE) divided by the
-C             magnitude of the largest element in X(j).  The estimate
-C             is as reliable as the estimate for RCOND, and is almost
-C             always a slight overestimate of the true error.
-C
-C     BERR    (output) DOUBLE PRECISION array, dimension (NRHS)
-C             The componentwise relative backward error of each solution
-C             vector X(j) (i.e., the smallest relative change in
-C             any element of A or B that makes X(j) an exact solution).
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension (N)
-C
-C     DWORK   DOUBLE PRECISION array, dimension (4*N)
-C             On exit, DWORK(1) contains the reciprocal pivot growth
-C             factor norm(A)/norm(U). The "max absolute element" norm is
-C             used. If DWORK(1) is much less than 1, then the stability
-C             of the LU factorization of the (equilibrated) matrix A
-C             could be poor. This also means that the solution X,
-C             condition estimator RCOND, and forward error bound FERR
-C             could be unreliable. If factorization fails with
-C             0 < INFO <= N, then DWORK(1) contains the reciprocal pivot
-C             growth factor for the leading INFO columns of A.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             > 0:  if INFO = i, and i is
-C                   <= N:  U(i,i) is exactly zero.  The factorization
-C                          has been completed, but the factor U is
-C                          exactly singular, so the solution and error
-C                          bounds could not be computed. RCOND = 0 is
-C                          returned.
-C                   = N+1: U is nonsingular, but RCOND is less than
-C                          machine precision, meaning that the matrix is
-C                          singular to working precision.  Nevertheless,
-C                          the solution and error bounds are computed
-C                          because there are a number of situations
-C                          where the computed solution can be more
-C                          accurate than the value of RCOND would
-C                          suggest.
-C             The positive values for INFO are set only when the
-C             matrix A is factored, i.e., for FACT = 'N' or 'E'.
-C
-C     METHOD
-C
-C     The following steps are performed:
-C
-C     1. If FACT = 'E', real scaling factors are computed to equilibrate
-C        the system:
-C
-C        TRANS = 'N':  diag(R)*A*diag(C)     *inv(diag(C))*X = diag(R)*B
-C        TRANS = 'T': (diag(R)*A*diag(C))**T *inv(diag(R))*X = diag(C)*B
-C        TRANS = 'C': (diag(R)*A*diag(C))**H *inv(diag(R))*X = diag(C)*B
-C
-C        Whether or not the system will be equilibrated depends on the
-C        scaling of the matrix A, but if equilibration is used, A is
-C        overwritten by diag(R)*A*diag(C) and B by diag(R)*B
-C        (if TRANS='N') or diag(C)*B (if TRANS = 'T' or 'C').
-C
-C     2. If FACT = 'N' or 'E', the LU decomposition is used to factor
-C        the matrix A (after equilibration if FACT = 'E') as
-C           A = P * L * U,
-C        where P is a permutation matrix, L is a unit lower triangular
-C        matrix, and U is upper triangular.
-C
-C     3. If some U(i,i)=0, so that U is exactly singular, then the
-C        routine returns with INFO = i. Otherwise, the factored form
-C        of A is used to estimate the condition number of the matrix A.
-C        If the reciprocal of the condition number is less than machine
-C        precision, INFO = N+1 is returned as a warning, but the routine
-C        still goes on to solve for X and compute error bounds as
-C        described below.
-C
-C     4. The system of equations is solved for X using the factored form
-C        of A.
-C
-C     5. Iterative refinement is applied to improve the computed
-C        solution matrix and calculate error bounds and backward error
-C        estimates for it.
-C
-C     6. If equilibration was used, the matrix X is premultiplied by
-C        diag(C) (if TRANS = 'N') or diag(R) (if TRANS = 'T' or 'C') so
-C        that it solves the original system before equilibration.
-C
-C     REFERENCES
-C
-C     [1] Anderson, E., Bai, Z., Bischof, C., Demmel, J., Dongarra, J.,
-C         Du Croz, J., Greenbaum, A., Hammarling, S., McKenney, A.,
-C         Ostrouchov, S., Sorensen, D.
-C         LAPACK Users' Guide: Second Edition, SIAM, Philadelphia, 1995.
-C
-C     FURTHER COMMENTS
-C
-C     This is a simplified version of the LAPACK Library routine DGESVX,
-C     useful when several sets of matrix equations with the same
-C     coefficient matrix  A and/or A'  should be solved.
-C
-C     NUMERICAL ASPECTS
-C                               3
-C     The algorithm requires 0(N ) operations.
-C
-C     CONTRIBUTORS
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Apr. 1999.
-C
-C     REVISIONS
-C
-C     -
-C
-C     KEYWORDS
-C
-C     Condition number, matrix algebra, matrix operations.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION  ZERO, ONE
-      PARAMETER         ( ZERO = 0.0D0, ONE = 1.0D0 )
-C     .. Scalar Arguments ..
-      CHARACTER         EQUED, FACT, TRANS
-      INTEGER           INFO, LDA, LDAF, LDB, LDX, N, NRHS
-      DOUBLE PRECISION  RCOND
-C     ..
-C     .. Array Arguments ..
-      INTEGER           IPIV( * ), IWORK( * )
-      DOUBLE PRECISION  A( LDA, * ), AF( LDAF, * ), B( LDB, * ),
-     $                  BERR( * ), C( * ), DWORK( * ), FERR( * ),
-     $                  R( * ), X( LDX, * )
-C     ..
-C     .. Local Scalars ..
-      LOGICAL           COLEQU, EQUIL, NOFACT, NOTRAN, ROWEQU
-      CHARACTER         NORM
-      INTEGER           I, INFEQU, J
-      DOUBLE PRECISION  AMAX, ANORM, BIGNUM, COLCND, RCMAX, RCMIN,
-     $                  ROWCND, RPVGRW, SMLNUM
-C     ..
-C     .. External Functions ..
-      LOGICAL           LSAME
-      DOUBLE PRECISION  DLAMCH, DLANGE, DLANTR
-      EXTERNAL          LSAME, DLAMCH, DLANGE, DLANTR
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL          DGECON, DGEEQU, DGERFS, DGETRF, DGETRS, DLACPY,
-     $                  DLAQGE, XERBLA
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC         MAX, MIN
-C     ..
-C     .. Save Statement ..
-      SAVE              RPVGRW
-C     ..
-C     .. Executable Statements ..
-C
-      INFO = 0
-      NOFACT = LSAME( FACT,  'N' )
-      EQUIL  = LSAME( FACT,  'E' )
-      NOTRAN = LSAME( TRANS, 'N' )
-      IF( NOFACT .OR. EQUIL ) THEN
-         EQUED = 'N'
-         ROWEQU = .FALSE.
-         COLEQU = .FALSE.
-      ELSE
-         ROWEQU = LSAME( EQUED, 'R' ) .OR. LSAME( EQUED, 'B' )
-         COLEQU = LSAME( EQUED, 'C' ) .OR. LSAME( EQUED, 'B' )
-         SMLNUM = DLAMCH( 'Safe minimum' )
-         BIGNUM = ONE / SMLNUM
-      END IF
-C
-C     Test the input parameters.
-C
-      IF( .NOT.NOFACT .AND. .NOT.EQUIL .AND. .NOT.LSAME( FACT, 'F' ) )
-     $     THEN
-         INFO = -1
-      ELSE IF( .NOT.NOTRAN .AND. .NOT.LSAME( TRANS, 'T' ) .AND. .NOT.
-     $                                LSAME( TRANS, 'C' ) ) THEN
-         INFO = -2
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( NRHS.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -6
-      ELSE IF( LDAF.LT.MAX( 1, N ) ) THEN
-         INFO = -8
-      ELSE IF( LSAME( FACT, 'F' ) .AND. .NOT.
-     $         ( ROWEQU .OR. COLEQU .OR. LSAME( EQUED, 'N' ) ) ) THEN
-         INFO = -10
-      ELSE
-         IF( ROWEQU ) THEN
-            RCMIN = BIGNUM
-            RCMAX = ZERO
-            DO 10 J = 1, N
-               RCMIN = MIN( RCMIN, R( J ) )
-               RCMAX = MAX( RCMAX, R( J ) )
-   10       CONTINUE
-            IF( RCMIN.LE.ZERO ) THEN
-               INFO = -11
-            ELSE IF( N.GT.0 ) THEN
-               ROWCND = MAX( RCMIN, SMLNUM ) / MIN( RCMAX, BIGNUM )
-            ELSE
-               ROWCND = ONE
-            END IF
-         END IF
-         IF( COLEQU .AND. INFO.EQ.0 ) THEN
-            RCMIN = BIGNUM
-            RCMAX = ZERO
-            DO 20 J = 1, N
-               RCMIN = MIN( RCMIN, C( J ) )
-               RCMAX = MAX( RCMAX, C( J ) )
-   20       CONTINUE
-            IF( RCMIN.LE.ZERO ) THEN
-               INFO = -12
-            ELSE IF( N.GT.0 ) THEN
-               COLCND = MAX( RCMIN, SMLNUM ) / MIN( RCMAX, BIGNUM )
-            ELSE
-               COLCND = ONE
-            END IF
-         END IF
-         IF( INFO.EQ.0 ) THEN
-            IF( LDB.LT.MAX( 1, N ) ) THEN
-               INFO = -14
-            ELSE IF( LDX.LT.MAX( 1, N ) ) THEN
-               INFO = -16
-            END IF
-         END IF
-      END IF
-C
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'MB02PD', -INFO )
-         RETURN
-      END IF
-C
-      IF( EQUIL ) THEN
-C
-C        Compute row and column scalings to equilibrate the matrix A.
-C
-         CALL DGEEQU( N, N, A, LDA, R, C, ROWCND, COLCND, AMAX, INFEQU )
-         IF( INFEQU.EQ.0 ) THEN
-C
-C           Equilibrate the matrix.
-C
-            CALL DLAQGE( N, N, A, LDA, R, C, ROWCND, COLCND, AMAX,
-     $                   EQUED )
-            ROWEQU = LSAME( EQUED, 'R' ) .OR. LSAME( EQUED, 'B' )
-            COLEQU = LSAME( EQUED, 'C' ) .OR. LSAME( EQUED, 'B' )
-         END IF
-      END IF
-C
-C     Scale the right hand side.
-C
-      IF( NOTRAN ) THEN
-         IF( ROWEQU ) THEN
-            DO 40 J = 1, NRHS
-               DO 30 I = 1, N
-                  B( I, J ) = R( I )*B( I, J )
-   30          CONTINUE
-   40       CONTINUE
-         END IF
-      ELSE IF( COLEQU ) THEN
-         DO 60 J = 1, NRHS
-            DO 50 I = 1, N
-               B( I, J ) = C( I )*B( I, J )
-   50       CONTINUE
-   60    CONTINUE
-      END IF
-C
-      IF( NOFACT .OR. EQUIL ) THEN
-C
-C        Compute the LU factorization of A.
-C
-         CALL DLACPY( 'Full', N, N, A, LDA, AF, LDAF )
-         CALL DGETRF( N, N, AF, LDAF, IPIV, INFO )
-C
-C        Return if INFO is non-zero.
-C
-         IF( INFO.NE.0 ) THEN
-            IF( INFO.GT.0 ) THEN
-C
-C              Compute the reciprocal pivot growth factor of the
-C              leading rank-deficient INFO columns of A.
-C
-               RPVGRW = DLANTR( 'M', 'U', 'N', INFO, INFO, AF, LDAF,
-     $                  DWORK )
-               IF( RPVGRW.EQ.ZERO ) THEN
-                  RPVGRW = ONE
-               ELSE
-                  RPVGRW = DLANGE( 'M', N, INFO, A, LDA, DWORK ) /
-     $                     RPVGRW
-               END IF
-               DWORK( 1 ) = RPVGRW
-               RCOND = ZERO
-            END IF
-            RETURN
-         END IF
-C
-C        Compute the norm of the matrix A and the
-C        reciprocal pivot growth factor RPVGRW.
-C
-         IF( NOTRAN ) THEN
-            NORM = '1'
-         ELSE
-            NORM = 'I'
-         END IF
-         ANORM = DLANGE( NORM, N, N, A, LDA, DWORK )
-         RPVGRW = DLANTR( 'M', 'U', 'N', N, N, AF, LDAF, DWORK )
-         IF( RPVGRW.EQ.ZERO ) THEN
-            RPVGRW = ONE
-         ELSE
-            RPVGRW = DLANGE( 'M', N, N, A, LDA, DWORK ) / RPVGRW
-         END IF
-C
-C        Compute the reciprocal of the condition number of A.
-C
-         CALL DGECON( NORM, N, AF, LDAF, ANORM, RCOND, DWORK, IWORK,
-     $                INFO )
-C
-C        Set INFO = N+1 if the matrix is singular to working precision.
-C
-         IF( RCOND.LT.DLAMCH( 'Epsilon' ) )
-     $      INFO = N + 1
-      END IF
-C
-C     Compute the solution matrix X.
-C
-      CALL DLACPY( 'Full', N, NRHS, B, LDB, X, LDX )
-      CALL DGETRS( TRANS, N, NRHS, AF, LDAF, IPIV, X, LDX, INFO )
-C
-C     Use iterative refinement to improve the computed solution and
-C     compute error bounds and backward error estimates for it.
-C
-      CALL DGERFS( TRANS, N, NRHS, A, LDA, AF, LDAF, IPIV, B, LDB, X,
-     $             LDX, FERR, BERR, DWORK, IWORK, INFO )
-C
-C     Transform the solution matrix X to a solution of the original
-C     system.
-C
-      IF( NOTRAN ) THEN
-         IF( COLEQU ) THEN
-            DO 80 J = 1, NRHS
-               DO 70 I = 1, N
-                  X( I, J ) = C( I )*X( I, J )
-   70          CONTINUE
-   80       CONTINUE
-            DO 90 J = 1, NRHS
-               FERR( J ) = FERR( J ) / COLCND
-   90       CONTINUE
-         END IF
-      ELSE IF( ROWEQU ) THEN
-         DO 110 J = 1, NRHS
-            DO 100 I = 1, N
-               X( I, J ) = R( I )*X( I, J )
-  100       CONTINUE
-  110    CONTINUE
-         DO 120 J = 1, NRHS
-            FERR( J ) = FERR( J ) / ROWCND
-  120    CONTINUE
-      END IF
-C
-      DWORK( 1 ) = RPVGRW
-      RETURN
-C
-C *** Last line of MB02PD ***
-      END
--- a/extra/control-devel/devel/dksyn/MB02RZ.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,216 +0,0 @@
-      SUBROUTINE MB02RZ( TRANS, N, NRHS, H, LDH, IPIV, B, LDB, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To solve a system of linear equations
-C        H * X = B,  H' * X = B  or  H**H * X = B
-C     with a complex upper Hessenberg N-by-N matrix H using the LU
-C     factorization computed by MB02SZ.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     TRANS   CHARACTER*1
-C             Specifies the form of the system of equations:
-C             = 'N':  H * X = B  (No transpose)
-C             = 'T':  H'* X = B  (Transpose)
-C             = 'C':  H**H * X = B  (Conjugate transpose)
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the matrix H.  N >= 0.
-C
-C     NRHS    (input) INTEGER
-C             The number of right hand sides, i.e., the number of
-C             columns of the matrix B.  NRHS >= 0.
-C
-C     H       (input) COMPLEX*16 array, dimension (LDH,N)
-C             The factors L and U from the factorization H = P*L*U
-C             as computed by MB02SZ.
-C
-C     LDH     INTEGER
-C             The leading dimension of the array H.  LDH >= max(1,N).
-C
-C     IPIV    (input) INTEGER array, dimension (N)
-C             The pivot indices from MB02SZ; for 1<=i<=N, row i of the
-C             matrix was interchanged with row IPIV(i).
-C
-C     B       (input/output) COMPLEX*16 array, dimension (LDB,NRHS)
-C             On entry, the right hand side matrix B.
-C             On exit, the solution matrix X.
-C
-C     LDB     INTEGER
-C             The leading dimension of the array B.  LDB >= max(1,N).
-C
-C     INFO    (output) INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value.
-C
-C     METHOD
-C
-C     The routine uses the factorization
-C        H = P * L * U
-C     where P is a permutation matrix, L is lower triangular with unit
-C     diagonal elements (and one nonzero subdiagonal), and U is upper
-C     triangular.
-C
-C     REFERENCES
-C
-C     -
-C
-C     NUMERICAL ASPECTS
-C                                2
-C     The algorithm requires 0( N x NRHS ) complex operations.
-C
-C     CONTRIBUTOR
-C
-C     Release 3.0: V. Sima, Katholieke Univ. Leuven, Belgium, Dec. 1996.
-C     Supersedes Release 2.0 routine TB01FW by A.J. Laub, University of
-C     Southern California, United States of America, May 1980.
-C
-C     REVISIONS
-C
-C     -
-C
-C     KEYWORDS
-C
-C     Frequency response, Hessenberg form, matrix algebra.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      COMPLEX*16         ONE
-      PARAMETER          ( ONE = ( 1.0D+0, 0.0D+0 ) )
-C     .. Scalar Arguments ..
-      CHARACTER          TRANS
-      INTEGER            INFO, LDB, LDH, N, NRHS
-C     ..
-C     .. Array Arguments ..
-      INTEGER            IPIV( * )
-      COMPLEX*16         B( LDB, * ), H( LDH, * )
-C     .. Local Scalars ..
-      LOGICAL            NOTRAN
-      INTEGER            J, JP
-C     .. External Functions ..
-      LOGICAL            LSAME
-      EXTERNAL           LSAME
-C     .. External Subroutines ..
-      EXTERNAL           XERBLA, ZAXPY, ZSWAP, ZTRSM
-C     .. Intrinsic Functions ..
-      INTRINSIC          DCONJG, MAX
-C     .. Executable Statements ..
-C
-C     Test the input parameters.
-C
-      INFO = 0
-      NOTRAN = LSAME( TRANS, 'N' )
-      IF( .NOT.NOTRAN .AND. .NOT.LSAME( TRANS, 'T' ) .AND. .NOT.
-     $    LSAME( TRANS, 'C' ) ) THEN
-         INFO = -1
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( NRHS.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( LDH.LT.MAX( 1, N ) ) THEN
-         INFO = -5
-      ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
-         INFO = -8
-      END IF
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'MB02RZ', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF( N.EQ.0 .OR. NRHS.EQ.0 )
-     $   RETURN
-C
-      IF( NOTRAN ) THEN
-C
-C        Solve H * X = B.
-C
-C        Solve L * X = B, overwriting B with X.
-C
-C        L is represented as a product of permutations and unit lower
-C        triangular matrices L = P(1) * L(1) * ... * P(n-1) * L(n-1),
-C        where each transformation L(i) is a rank-one modification of
-C        the identity matrix.
-C
-         DO 10 J = 1, N - 1
-            JP = IPIV( J )
-            IF( JP.NE.J )
-     $         CALL ZSWAP( NRHS, B( JP, 1 ), LDB, B( J, 1 ), LDB )
-            CALL ZAXPY( NRHS, -H( J+1, J ), B( J, 1 ), LDB, B( J+1, 1 ),
-     $                  LDB )
-   10    CONTINUE
-C
-C        Solve U * X = B, overwriting B with X.
-C
-         CALL ZTRSM( 'Left', 'Upper', 'No transpose', 'Non-unit', N,
-     $               NRHS, ONE, H, LDH, B, LDB )
-C
-      ELSE IF( LSAME( TRANS, 'T' ) ) THEN
-C
-C        Solve H' * X = B.
-C
-C        Solve U' * X = B, overwriting B with X.
-C
-         CALL ZTRSM( 'Left', 'Upper', TRANS, 'Non-unit', N, NRHS, ONE,
-     $               H, LDH, B, LDB )
-C
-C        Solve L' * X = B, overwriting B with X.
-C
-         DO 20 J = N - 1, 1, -1
-            CALL ZAXPY( NRHS, -H( J+1, J ), B( J+1, 1 ), LDB, B( J, 1 ),
-     $                  LDB )
-            JP = IPIV( J )
-            IF( JP.NE.J )
-     $         CALL ZSWAP( NRHS, B( JP, 1 ), LDB, B( J, 1 ), LDB )
-   20    CONTINUE
-C
-      ELSE
-C
-C        Solve H**H * X = B.
-C
-C        Solve U**H * X = B, overwriting B with X.
-C
-         CALL ZTRSM( 'Left', 'Upper', TRANS, 'Non-unit', N, NRHS, ONE,
-     $               H, LDH, B, LDB )
-C
-C        Solve L**H * X = B, overwriting B with X.
-C
-         DO 30 J = N - 1, 1, -1
-            CALL ZAXPY( NRHS, -DCONJG( H( J+1, J ) ), B( J+1, 1 ), LDB,
-     $                  B( J, 1 ), LDB )
-            JP = IPIV( J )
-            IF( JP.NE.J )
-     $         CALL ZSWAP( NRHS, B( JP, 1 ), LDB, B( J, 1 ), LDB )
-   30    CONTINUE
-C
-      END IF
-C
-      RETURN
-C *** Last line of MB02RZ ***
-      END
--- a/extra/control-devel/devel/dksyn/MB02SZ.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,169 +0,0 @@
-      SUBROUTINE MB02SZ( N, H, LDH, IPIV, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To compute an LU factorization of a complex n-by-n upper
-C     Hessenberg matrix H using partial pivoting with row interchanges.
-C
-C     ARGUMENTS
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the matrix H.  N >= 0.
-C
-C     H       (input/output) COMPLEX*16 array, dimension (LDH,N)
-C             On entry, the n-by-n upper Hessenberg matrix to be
-C             factored.
-C             On exit, the factors L and U from the factorization
-C             H = P*L*U; the unit diagonal elements of L are not stored,
-C             and L is lower bidiagonal.
-C
-C     LDH     INTEGER
-C             The leading dimension of the array H.  LDH >= max(1,N).
-C
-C     IPIV    (output) INTEGER array, dimension (N)
-C             The pivot indices; for 1 <= i <= N, row i of the matrix
-C             was interchanged with row IPIV(i).
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             > 0:  if INFO = i, U(i,i) is exactly zero. The
-C                   factorization has been completed, but the factor U
-C                   is exactly singular, and division by zero will occur
-C                   if it is used to solve a system of equations.
-C
-C     METHOD
-C
-C     The factorization has the form
-C        H = P * L * U
-C     where P is a permutation matrix, L is lower triangular with unit
-C     diagonal elements (and one nonzero subdiagonal), and U is upper
-C     triangular.
-C
-C     This is the right-looking Level 2 BLAS version of the algorithm
-C     (adapted after ZGETF2).
-C
-C     REFERENCES
-C
-C     -
-C
-C     NUMERICAL ASPECTS
-C                                2
-C     The algorithm requires 0( N ) complex operations.
-C
-C     CONTRIBUTOR
-C
-C     Release 3.0: V. Sima, Katholieke Univ. Leuven, Belgium, Dec. 1996.
-C     Supersedes Release 2.0 routine TB01FX by A.J. Laub, University of
-C     Southern California, United States of America, May 1980.
-C
-C     REVISIONS
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Oct. 2000,
-C     Jan. 2005.
-C
-C     KEYWORDS
-C
-C     Frequency response, Hessenberg form, matrix algebra.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      COMPLEX*16        ZERO
-      PARAMETER         ( ZERO = ( 0.0D+0, 0.0D+0 ) )
-C     .. Scalar Arguments ..
-      INTEGER           INFO, LDH, N
-C     .. Array Arguments ..
-      INTEGER           IPIV(*)
-      COMPLEX*16        H(LDH,*)
-C     .. Local Scalars ..
-      INTEGER           J, JP
-C     .. External Functions ..
-      DOUBLE PRECISION  DCABS1
-      EXTERNAL          DCABS1
-C     .. External Subroutines ..
-      EXTERNAL          XERBLA, ZAXPY, ZSWAP
-C     .. Intrinsic Functions ..
-      INTRINSIC         MAX
-C     ..
-C     .. Executable Statements ..
-C
-C     Check the scalar input parameters.
-C
-      INFO = 0
-      IF( N.LT.0 ) THEN
-         INFO = -1
-      ELSE IF( LDH.LT.MAX( 1, N ) ) THEN
-         INFO = -3
-      END IF
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'MB02SZ', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF( N.EQ.0 )
-     $   RETURN
-C
-      DO 10 J = 1, N
-C
-C        Find pivot and test for singularity.
-C
-         JP = J
-         IF ( J.LT.N ) THEN
-            IF ( DCABS1( H( J+1, J ) ).GT.DCABS1( H( J, J ) ) )
-     $         JP = J + 1
-         END IF
-         IPIV( J ) = JP
-         IF( H( JP, J ).NE.ZERO ) THEN
-C
-C           Apply the interchange to columns J:N.
-C
-            IF( JP.NE.J )
-     $         CALL ZSWAP( N-J+1, H( J, J ), LDH, H( JP, J ), LDH )
-C
-C           Compute element J+1 of J-th column.
-C
-            IF( J.LT.N )
-     $         H( J+1, J ) = H( J+1, J )/H( J, J )
-C
-         ELSE IF( INFO.EQ.0 ) THEN
-C
-            INFO = J
-         END IF
-C
-         IF( J.LT.N ) THEN
-C
-C           Update trailing submatrix.
-C
-            CALL ZAXPY( N-J, -H( J+1, J ), H( J, J+1 ), LDH,
-     $                  H( J+1, J+1 ), LDH )
-         END IF
-   10 CONTINUE
-      RETURN
-C *** Last line of MB02SZ ***
-      END
--- a/extra/control-devel/devel/dksyn/MB02TZ.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,247 +0,0 @@
-      SUBROUTINE MB02TZ( NORM, N, HNORM, H, LDH, IPIV, RCOND, DWORK,
-     $                   ZWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To estimate the reciprocal of the condition number of a complex
-C     upper Hessenberg matrix H, in either the 1-norm or the
-C     infinity-norm, using the LU factorization computed by MB02SZ.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     NORM    CHARACTER*1
-C             Specifies whether the 1-norm condition number or the
-C             infinity-norm condition number is required:
-C             = '1' or 'O':  1-norm;
-C             = 'I':         Infinity-norm.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the matrix H.  N >= 0.
-C
-C     HNORM   (input) DOUBLE PRECISION
-C             If NORM = '1' or 'O', the 1-norm of the original matrix H.
-C             If NORM = 'I', the infinity-norm of the original matrix H.
-C
-C     H       (input) COMPLEX*16 array, dimension (LDH,N)
-C             The factors L and U from the factorization H = P*L*U
-C             as computed by MB02SZ.
-C
-C     LDH     INTEGER
-C             The leading dimension of the array H.  LDH >= max(1,N).
-C
-C     IPIV    (input) INTEGER array, dimension (N)
-C             The pivot indices; for 1 <= i <= N, row i of the matrix
-C             was interchanged with row IPIV(i).
-C
-C     RCOND   (output) DOUBLE PRECISION
-C             The reciprocal of the condition number of the matrix H,
-C             computed as RCOND = 1/(norm(H) * norm(inv(H))).
-C
-C     Workspace
-C
-C     DWORK   DOUBLE PRECISION array, dimension (N)
-C
-C     ZWORK   COMPLEX*16 array, dimension (2*N)
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value.
-C
-C     METHOD
-C
-C     An estimate is obtained for norm(inv(H)), and the reciprocal of
-C     the condition number is computed as
-C        RCOND = 1 / ( norm(H) * norm(inv(H)) ).
-C
-C     REFERENCES
-C
-C     -
-C
-C     NUMERICAL ASPECTS
-C                                2
-C     The algorithm requires 0( N ) complex operations.
-C
-C     CONTRIBUTOR
-C
-C     Release 3.0: V. Sima, Katholieke Univ. Leuven, Belgium, Dec. 1996.
-C     Supersedes Release 2.0 routine TB01FY by A.J. Laub, University of
-C     Southern California, United States of America, May 1980.
-C
-C     REVISIONS
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Feb. 2005.
-C
-C     KEYWORDS
-C
-C     Frequency response, Hessenberg form, matrix algebra.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ONE, ZERO
-      PARAMETER          ( ONE = 1.0D+0, ZERO = 0.0D+0 )
-C     .. Scalar Arguments ..
-      CHARACTER          NORM
-      INTEGER            INFO, LDH, N
-      DOUBLE PRECISION   HNORM, RCOND
-C     ..
-C     .. Array Arguments ..
-      INTEGER            IPIV(*)
-      DOUBLE PRECISION   DWORK( * )
-      COMPLEX*16         H( LDH, * ), ZWORK( * )
-C     .. Local Scalars ..
-      LOGICAL            ONENRM
-      CHARACTER          NORMIN
-      INTEGER            IX, J, JP, KASE, KASE1
-C
-      DOUBLE PRECISION   HINVNM, SCALE, SMLNUM
-      COMPLEX*16         T, ZDUM
-C     ..
-C     .. External Functions ..
-      LOGICAL            LSAME
-      INTEGER            IZAMAX
-      DOUBLE PRECISION   DLAMCH
-      EXTERNAL           DLAMCH, IZAMAX, LSAME
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           XERBLA, ZDRSCL, ZLACON, ZLATRS
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          ABS, DBLE, DCONJG, DIMAG, MAX
-C     ..
-C     .. Statement Functions ..
-      DOUBLE PRECISION   CABS1
-C     ..
-C     .. Statement Function definitions ..
-      CABS1( ZDUM ) = ABS( DBLE( ZDUM ) ) + ABS( DIMAG( ZDUM ) )
-C     ..
-C     .. Executable Statements ..
-C
-C     Test the input parameters.
-C
-      INFO = 0
-      ONENRM = NORM.EQ.'1' .OR. LSAME( NORM, 'O' )
-      IF( .NOT.ONENRM .AND. .NOT.LSAME( NORM, 'I' ) ) THEN
-         INFO = -1
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( HNORM.LT.ZERO ) THEN
-         INFO = -3
-      ELSE IF( LDH.LT.MAX( 1, N ) ) THEN
-         INFO = -5
-      END IF
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'MB02TZ', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      RCOND = ZERO
-      IF( N.EQ.0 ) THEN
-         RCOND = ONE
-         RETURN
-      ELSE IF( HNORM.EQ.ZERO ) THEN
-         RETURN
-      END IF
-C
-      SMLNUM = DLAMCH( 'Safe minimum' )
-C
-C     Estimate the norm of inv(H).
-C
-      HINVNM = ZERO
-      NORMIN = 'N'
-      IF( ONENRM ) THEN
-         KASE1 = 1
-      ELSE
-         KASE1 = 2
-      END IF
-      KASE = 0
-   10 CONTINUE
-      CALL ZLACON( N, ZWORK( N+1 ), ZWORK, HINVNM, KASE )
-      IF( KASE.NE.0 ) THEN
-         IF( KASE.EQ.KASE1 ) THEN
-C
-C           Multiply by inv(L).
-C
-            DO 20 J = 1, N - 1
-               JP = IPIV( J )
-               T = ZWORK( JP )
-               IF( JP.NE.J ) THEN
-                  ZWORK( JP ) = ZWORK( J )
-                  ZWORK( J ) = T
-               END IF
-               ZWORK( J+1 ) = ZWORK( J+1 ) - T * H( J+1, J )
-   20       CONTINUE
-C
-C           Multiply by inv(U).
-C
-            CALL ZLATRS( 'Upper', 'No transpose', 'Non-unit', NORMIN, N,
-     $                   H, LDH, ZWORK, SCALE, DWORK, INFO )
-         ELSE
-C
-C           Multiply by inv(U').
-C
-            CALL ZLATRS( 'Upper', 'Conjugate transpose', 'Non-unit',
-     $                   NORMIN, N, H, LDH, ZWORK, SCALE, DWORK, INFO )
-C
-C           Multiply by inv(L').
-C
-            DO 30 J = N - 1, 1, -1
-               ZWORK( J ) = ZWORK( J ) -
-     $                      DCONJG( H( J+1, J ) ) * ZWORK( J+1 )
-               JP = IPIV( J )
-               IF( JP.NE.J ) THEN
-                  T = ZWORK( JP )
-                  ZWORK( JP ) = ZWORK( J )
-                  ZWORK( J ) = T
-               END IF
-   30       CONTINUE
-         END IF
-C
-C        Divide X by 1/SCALE if doing so will not cause overflow.
-C
-         NORMIN = 'Y'
-         IF( SCALE.NE.ONE ) THEN
-            IX = IZAMAX( N, ZWORK, 1 )
-            IF( SCALE.LT.CABS1( ZWORK( IX ) )*SMLNUM .OR. SCALE.EQ.ZERO
-     $        ) GO TO 40
-            CALL ZDRSCL( N, SCALE, ZWORK, 1 )
-         END IF
-         GO TO 10
-      END IF
-C
-C     Compute the estimate of the reciprocal condition number.
-C
-      IF( HINVNM.NE.ZERO )
-     $   RCOND = ( ONE / HINVNM ) / HNORM
-C
-   40 CONTINUE
-      RETURN
-C *** Last line of MB02TZ ***
-      END
--- a/extra/control-devel/devel/dksyn/MB03OY.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,388 +0,0 @@
-      SUBROUTINE MB03OY( M, N, A, LDA, RCOND, SVLMAX, RANK, SVAL, JPVT,
-     $                   TAU, DWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To compute a rank-revealing QR factorization of a real general
-C     M-by-N matrix  A,  which may be rank-deficient, and estimate its
-C     effective rank using incremental condition estimation.
-C
-C     The routine uses a truncated QR factorization with column pivoting
-C                                   [ R11 R12 ]
-C        A * P = Q * R,  where  R = [         ],
-C                                   [  0  R22 ]
-C     with R11 defined as the largest leading upper triangular submatrix
-C     whose estimated condition number is less than 1/RCOND.  The order
-C     of R11, RANK, is the effective rank of A.  Condition estimation is
-C     performed during the QR factorization process.  Matrix R22 is full
-C     (but of small norm), or empty.
-C
-C     MB03OY  does not perform any scaling of the matrix A.
-C
-C     ARGUMENTS
-C
-C     Input/Output Parameters
-C
-C     M       (input) INTEGER
-C             The number of rows of the matrix A.  M >= 0.
-C
-C     N       (input) INTEGER
-C             The number of columns of the matrix A.  N >= 0.
-C
-C     A       (input/output) DOUBLE PRECISION array, dimension
-C             ( LDA, N )
-C             On entry, the leading M-by-N part of this array must
-C             contain the given matrix A.
-C             On exit, the leading RANK-by-RANK upper triangular part
-C             of A contains the triangular factor R11, and the elements
-C             below the diagonal in the first  RANK  columns, with the
-C             array TAU, represent the orthogonal matrix Q as a product
-C             of  RANK  elementary reflectors.
-C             The remaining  N-RANK  columns contain the result of the
-C             QR factorization process used.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.  LDA >= max(1,M).
-C
-C     RCOND   (input) DOUBLE PRECISION
-C             RCOND is used to determine the effective rank of A, which
-C             is defined as the order of the largest leading triangular
-C             submatrix R11 in the QR factorization with pivoting of A,
-C             whose estimated condition number is less than 1/RCOND.
-C             0 <= RCOND <= 1.
-C             NOTE that when SVLMAX > 0, the estimated rank could be
-C             less than that defined above (see SVLMAX).
-C
-C     SVLMAX  (input) DOUBLE PRECISION
-C             If A is a submatrix of another matrix B, and the rank
-C             decision should be related to that matrix, then SVLMAX
-C             should be an estimate of the largest singular value of B
-C             (for instance, the Frobenius norm of B).  If this is not
-C             the case, the input value SVLMAX = 0 should work.
-C             SVLMAX >= 0.
-C
-C     RANK    (output) INTEGER
-C             The effective (estimated) rank of A, i.e., the order of
-C             the submatrix R11.
-C
-C     SVAL    (output) DOUBLE PRECISION array, dimension ( 3 )
-C             The estimates of some of the singular values of the
-C             triangular factor R:
-C             SVAL(1): largest singular value of R(1:RANK,1:RANK);
-C             SVAL(2): smallest singular value of R(1:RANK,1:RANK);
-C             SVAL(3): smallest singular value of R(1:RANK+1,1:RANK+1),
-C                      if RANK < MIN( M, N ), or of R(1:RANK,1:RANK),
-C                      otherwise.
-C             If the triangular factorization is a rank-revealing one
-C             (which will be the case if the leading columns were well-
-C             conditioned), then SVAL(1) will also be an estimate for
-C             the largest singular value of A, and SVAL(2) and SVAL(3)
-C             will be estimates for the RANK-th and (RANK+1)-st singular
-C             values of A, respectively.
-C             By examining these values, one can confirm that the rank
-C             is well defined with respect to the chosen value of RCOND.
-C             The ratio SVAL(1)/SVAL(2) is an estimate of the condition
-C             number of R(1:RANK,1:RANK).
-C
-C     JPVT    (output) INTEGER array, dimension ( N )
-C             If JPVT(i) = k, then the i-th column of A*P was the k-th
-C             column of A.
-C
-C     TAU     (output) DOUBLE PRECISION array, dimension ( MIN( M, N ) )
-C             The leading  RANK  elements of TAU contain the scalar
-C             factors of the elementary reflectors.
-C
-C     Workspace
-C
-C     DWORK   DOUBLE PRECISION array, dimension ( 3*N-1 )
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value.
-C
-C     METHOD
-C
-C     The routine computes a truncated QR factorization with column
-C     pivoting of A,  A * P = Q * R,  with  R  defined above, and,
-C     during this process, finds the largest leading submatrix whose
-C     estimated condition number is less than 1/RCOND, taking the
-C     possible positive value of SVLMAX into account.  This is performed
-C     using the LAPACK incremental condition estimation scheme and a
-C     slightly modified rank decision test.  The factorization process
-C     stops when  RANK  has been determined.
-C
-C     The matrix Q is represented as a product of elementary reflectors
-C
-C        Q = H(1) H(2) . . . H(k), where k = rank <= min(m,n).
-C
-C     Each H(i) has the form
-C
-C        H = I - tau * v * v'
-C
-C     where tau is a real scalar, and v is a real vector with
-C     v(1:i-1) = 0 and v(i) = 1; v(i+1:m) is stored on exit in
-C     A(i+1:m,i), and tau in TAU(i).
-C
-C     The matrix P is represented in jpvt as follows: If
-C        jpvt(j) = i
-C     then the jth column of P is the ith canonical unit vector.
-C
-C     REFERENCES
-C
-C     [1] Bischof, C.H. and P. Tang.
-C         Generalizing Incremental Condition Estimation.
-C         LAPACK Working Notes 32, Mathematics and Computer Science
-C         Division, Argonne National Laboratory, UT, CS-91-132,
-C         May 1991.
-C
-C     [2] Bischof, C.H. and P. Tang.
-C         Robust Incremental Condition Estimation.
-C         LAPACK Working Notes 33, Mathematics and Computer Science
-C         Division, Argonne National Laboratory, UT, CS-91-133,
-C         May 1991.
-C
-C     NUMERICAL ASPECTS
-C
-C     The algorithm is backward stable.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, Feb. 1998.
-C
-C     REVISIONS
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Jan. 2009.
-C     V. Sima, Jan. 2010, following Bujanovic and Drmac's suggestion.
-C
-C     KEYWORDS
-C
-C     Eigenvalue problem, matrix operations, orthogonal transformation,
-C     singular values.
-C
-C    ******************************************************************
-C
-C     .. Parameters ..
-      INTEGER            IMAX, IMIN
-      PARAMETER          ( IMAX = 1, IMIN = 2 )
-      DOUBLE PRECISION   ZERO, ONE
-      PARAMETER          ( ZERO = 0.0D0, ONE = 1.0D0 )
-C     .. Scalar Arguments ..
-      INTEGER            INFO, LDA, M, N, RANK
-      DOUBLE PRECISION   RCOND, SVLMAX
-C     .. Array Arguments ..
-      INTEGER            JPVT( * )
-      DOUBLE PRECISION   A( LDA, * ), DWORK( * ), SVAL( 3 ), TAU( * )
-C     ..
-C     .. Local Scalars ..
-      INTEGER            I, ISMAX, ISMIN, ITEMP, J, MN, PVT
-      DOUBLE PRECISION   AII, C1, C2, S1, S2, SMAX, SMAXPR, SMIN,
-     $                   SMINPR, TEMP, TEMP2, TOLZ
-C     ..
-C     .. External Functions ..
-      INTEGER            IDAMAX
-      DOUBLE PRECISION   DLAMCH, DNRM2
-      EXTERNAL           DLAMCH, DNRM2, IDAMAX
-C     .. External Subroutines ..
-      EXTERNAL           DLAIC1, DLARF, DLARFG, DSCAL, DSWAP, XERBLA
-C     .. Intrinsic Functions ..
-      INTRINSIC          ABS, MAX, MIN, SQRT
-C     ..
-C     .. Executable Statements ..
-C
-C     Test the input scalar arguments.
-C
-      INFO = 0
-      IF( M.LT.0 ) THEN
-         INFO = -1
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( LDA.LT.MAX( 1, M ) ) THEN
-         INFO = -4
-      ELSE IF( RCOND.LT.ZERO .OR. RCOND.GT.ONE ) THEN
-         INFO = -5
-      ELSE IF( SVLMAX.LT.ZERO ) THEN
-         INFO = -6
-      END IF
-C
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'MB03OY', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      MN = MIN( M, N )
-      IF( MN.EQ.0 ) THEN
-         RANK = 0
-         SVAL( 1 ) = ZERO
-         SVAL( 2 ) = ZERO
-         SVAL( 3 ) = ZERO
-         RETURN
-      END IF
-C
-      TOLZ  = SQRT( DLAMCH( 'Epsilon' ) )
-      ISMIN = 1
-      ISMAX = ISMIN + N
-C
-C     Initialize partial column norms and pivoting vector. The first n
-C     elements of DWORK store the exact column norms. The already used
-C     leading part is then overwritten by the condition estimator.
-C
-      DO 10 I = 1, N
-         DWORK( I ) = DNRM2( M, A( 1, I ), 1 )
-         DWORK( N+I ) = DWORK( I )
-         JPVT( I ) = I
-   10 CONTINUE
-C
-C     Compute factorization and determine RANK using incremental
-C     condition estimation.
-C
-      RANK = 0
-C
-   20 CONTINUE
-      IF( RANK.LT.MN ) THEN
-         I = RANK + 1
-C
-C        Determine ith pivot column and swap if necessary.
-C
-         PVT = ( I-1 ) + IDAMAX( N-I+1, DWORK( I ), 1 )
-C
-         IF( PVT.NE.I ) THEN
-            CALL DSWAP( M, A( 1, PVT ), 1, A( 1, I ), 1 )
-            ITEMP = JPVT( PVT )
-            JPVT( PVT ) = JPVT( I )
-            JPVT( I )   = ITEMP
-            DWORK( PVT )   = DWORK( I )
-            DWORK( N+PVT ) = DWORK( N+I )
-         END IF
-C
-C        Save A(I,I) and generate elementary reflector H(i).
-C
-         IF( I.LT.M ) THEN
-            AII = A( I, I )
-            CALL DLARFG( M-I+1, A( I, I ), A( I+1, I ), 1, TAU( I ) )
-         ELSE
-            TAU( M ) = ZERO
-         END IF
-C
-         IF( RANK.EQ.0 ) THEN
-C
-C           Initialize; exit if matrix is zero (RANK = 0).
-C
-            SMAX = ABS( A( 1, 1 ) )
-            IF ( SMAX.EQ.ZERO ) THEN
-               SVAL( 1 ) = ZERO
-               SVAL( 2 ) = ZERO
-               SVAL( 3 ) = ZERO
-               RETURN
-            END IF
-            SMIN = SMAX
-            SMAXPR = SMAX
-            SMINPR = SMIN
-            C1 = ONE
-            C2 = ONE
-         ELSE
-C
-C           One step of incremental condition estimation.
-C
-            CALL DLAIC1( IMIN, RANK, DWORK( ISMIN ), SMIN, A( 1, I ),
-     $                   A( I, I ), SMINPR, S1, C1 )
-            CALL DLAIC1( IMAX, RANK, DWORK( ISMAX ), SMAX, A( 1, I ),
-     $                   A( I, I ), SMAXPR, S2, C2 )
-         END IF
-C
-         IF( SVLMAX*RCOND.LE.SMAXPR ) THEN
-            IF( SVLMAX*RCOND.LE.SMINPR ) THEN
-               IF( SMAXPR*RCOND.LE.SMINPR ) THEN
-C
-C                 Continue factorization, as rank is at least RANK.
-C
-                  IF( I.LT.N ) THEN
-C
-C                    Apply H(i) to A(i:m,i+1:n) from the left.
-C
-                     AII = A( I, I )
-                     A( I, I ) = ONE
-                     CALL DLARF( 'Left', M-I+1, N-I, A( I, I ), 1,
-     $                           TAU( I ), A( I, I+1 ), LDA,
-     $                           DWORK( 2*N+1 ) )
-                     A( I, I ) = AII
-                  END IF
-C
-C                 Update partial column norms.
-C
-                  DO 30 J = I + 1, N
-                     IF( DWORK( J ).NE.ZERO ) THEN
-                        TEMP = ABS( A( I, J ) ) / DWORK( J )
-                        TEMP = MAX( ( ONE + TEMP )*( ONE - TEMP ), ZERO)
-                        TEMP2 = TEMP*( DWORK( J ) / DWORK( N+J ) )**2
-                        IF( TEMP2.LE.TOLZ ) THEN
-                           IF( M-I.GT.0 ) THEN
-                              DWORK( J ) = DNRM2( M-I, A( I+1, J ), 1 )
-                              DWORK( N+J ) = DWORK( J )
-                           ELSE
-                              DWORK( J )   = ZERO
-                              DWORK( N+J ) = ZERO
-                           END IF
-                        ELSE
-                           DWORK( J ) = DWORK( J )*SQRT( TEMP )
-                        END IF
-                     END IF
-   30             CONTINUE
-C
-                  DO 40 I = 1, RANK
-                     DWORK( ISMIN+I-1 ) = S1*DWORK( ISMIN+I-1 )
-                     DWORK( ISMAX+I-1 ) = S2*DWORK( ISMAX+I-1 )
-   40             CONTINUE
-C
-                  DWORK( ISMIN+RANK ) = C1
-                  DWORK( ISMAX+RANK ) = C2
-                  SMIN = SMINPR
-                  SMAX = SMAXPR
-                  RANK = RANK + 1
-                  GO TO 20
-               END IF
-            END IF
-         END IF
-      END IF
-C
-C     Restore the changed part of the (RANK+1)-th column and set SVAL.
-C
-      IF ( RANK.LT.N ) THEN
-         IF ( I.LT.M ) THEN
-            CALL DSCAL( M-I, -A( I, I )*TAU( I ), A( I+1, I ), 1 )
-            A( I, I ) = AII
-         END IF
-      END IF
-      IF ( RANK.EQ.0 ) THEN
-         SMIN = ZERO
-         SMINPR = ZERO
-      END IF
-      SVAL( 1 ) = SMAX
-      SVAL( 2 ) = SMIN
-      SVAL( 3 ) = SMINPR
-C
-      RETURN
-C *** Last line of MB03OY ***
-      END
--- a/extra/control-devel/devel/dksyn/MC01PD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,159 +0,0 @@
-      SUBROUTINE MC01PD( K, REZ, IMZ, P, DWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To compute the coefficients of a real polynomial P(x) from its
-C     zeros.
-C
-C     ARGUMENTS
-C
-C     Input/Output Parameters
-C
-C     K       (input) INTEGER
-C             The number of zeros (and hence the degree) of P(x).
-C             K >= 0.
-C
-C     REZ     (input) DOUBLE PRECISION array, dimension (K)
-C     IMZ     (input) DOUBLE PRECISION array, dimension (K)
-C             The real and imaginary parts of the i-th zero of P(x)
-C             must be stored in REZ(i) and IMZ(i), respectively, where
-C             i = 1, 2, ..., K. The zeros may be supplied in any order,
-C             except that complex conjugate zeros must appear
-C             consecutively.
-C
-C     P       (output) DOUBLE PRECISION array, dimension (K+1)
-C             This array contains the coefficients of P(x) in increasing
-C             powers of x. If K = 0, then P(1) is set to one.
-C
-C     Workspace
-C
-C     DWORK   DOUBLE PRECISION array, dimension (K+1)
-C             If K = 0, this array is not referenced.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             > 0:  if INFO = i, (REZ(i),IMZ(i)) is a complex zero but
-C                   (REZ(i-1),IMZ(i-1)) is not its conjugate.
-C
-C     METHOD
-C
-C     The routine computes the coefficients of the real K-th degree
-C     polynomial P(x) as
-C
-C        P(x) = (x - r(1)) * (x - r(2)) * ... * (x - r(K))
-C
-C     where r(i) = (REZ(i),IMZ(i)).
-C
-C     Note that REZ(i) = REZ(j) and IMZ(i) = -IMZ(j) if r(i) and r(j)
-C     form a complex conjugate pair (where i <> j), and that IMZ(i) = 0
-C     if r(i) is real.
-C
-C     NUMERICAL ASPECTS
-C
-C     None.
-C
-C     CONTRIBUTOR
-C
-C     Release 3.0: V. Sima, Katholieke Univ. Leuven, Belgium, Mar. 1997.
-C     Supersedes Release 2.0 routine MC01DD by A.J. Geurts.
-C
-C     REVISIONS
-C
-C     V. Sima, May 2002.
-C
-C     KEYWORDS
-C
-C     Elementary polynomial operations, polynomial operations.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION  ZERO, ONE
-      PARAMETER         ( ZERO = 0.0D0, ONE = 1.0D0 )
-C     .. Scalar Arguments ..
-      INTEGER           INFO, K
-C     .. Array Arguments ..
-      DOUBLE PRECISION  DWORK(*), IMZ(*), P(*), REZ(*)
-C     .. Local Scalars ..
-      INTEGER           I
-      DOUBLE PRECISION  U, V
-C     .. External Subroutines ..
-      EXTERNAL          DAXPY, DCOPY, XERBLA
-C     .. Executable Statements ..
-C
-C     Test the input scalar arguments.
-C
-      IF( K.LT.0 ) THEN
-         INFO = -1
-C
-C        Error return.
-C
-         CALL XERBLA( 'MC01PD', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      INFO = 0
-      P(1) = ONE
-      IF ( K.EQ.0 )
-     $   RETURN
-C
-      I = 1
-C     WHILE ( I <= K ) DO
-   20 IF ( I.LE.K ) THEN
-         U = REZ(I)
-         V = IMZ(I)
-         DWORK(1) = ZERO
-C
-         IF ( V.EQ.ZERO ) THEN
-            CALL DCOPY( I, P, 1, DWORK(2), 1 )
-            CALL DAXPY( I, -U, P, 1, DWORK, 1 )
-            I = I + 1
-C
-         ELSE
-            IF ( I.EQ.K ) THEN
-               INFO = K
-               RETURN
-            ELSE IF ( ( U.NE.REZ(I+1) ) .OR. ( V.NE.-IMZ(I+1) ) ) THEN
-               INFO = I + 1
-               RETURN
-            END IF
-C
-            DWORK(2) = ZERO
-            CALL DCOPY( I, P, 1, DWORK(3), 1 )
-            CALL DAXPY( I, -(U + U),  P, 1, DWORK(2), 1 )
-            CALL DAXPY( I, U**2+V**2, P, 1, DWORK, 1 )
-            I = I + 2
-         END IF
-C
-         CALL DCOPY( I, DWORK, 1, P, 1 )
-         GO TO 20
-      END IF
-C     END WHILE 20
-C
-      RETURN
-C *** Last line of MC01PD ***
-      END
--- a/extra/control-devel/devel/dksyn/SB02MR.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,75 +0,0 @@
-      LOGICAL FUNCTION SB02MR( REIG, IEIG )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To select the unstable eigenvalues for solving the continuous-time
-C     algebraic Riccati equation.
-C
-C     ARGUMENTS
-C
-C     Input/Output Parameters
-C
-C     REIG    (input) DOUBLE PRECISION
-C             The real part of the current eigenvalue considered.
-C
-C     IEIG    (input) DOUBLE PRECISION
-C             The imaginary part of the current eigenvalue considered.
-C
-C     METHOD
-C
-C     The function value SB02MR is set to .TRUE. for an unstable
-C     eigenvalue and to .FALSE., otherwise.
-C
-C     REFERENCES
-C
-C     None.
-C
-C     NUMERICAL ASPECTS
-C
-C     None.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, Aug. 1997.
-C
-C     REVISIONS
-C
-C     -
-C
-C     KEYWORDS
-C
-C     Algebraic Riccati equation, closed loop system, continuous-time
-C     system, optimal regulator, Schur form.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION  ZERO
-      PARAMETER         ( ZERO = 0.0D0 )
-C     .. Scalar Arguments ..
-      DOUBLE PRECISION  IEIG, REIG
-C     .. Executable Statements ..
-C
-      SB02MR = REIG.GE.ZERO
-C
-      RETURN
-C *** Last line of SB02MR ***
-      END
--- a/extra/control-devel/devel/dksyn/SB02MS.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,79 +0,0 @@
-      LOGICAL FUNCTION SB02MS( REIG, IEIG )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To select the unstable eigenvalues for solving the discrete-time
-C     algebraic Riccati equation.
-C
-C     ARGUMENTS
-C
-C     Input/Output Parameters
-C
-C     REIG    (input) DOUBLE PRECISION
-C             The real part of the current eigenvalue considered.
-C
-C     IEIG    (input) DOUBLE PRECISION
-C             The imaginary part of the current eigenvalue considered.
-C
-C     METHOD
-C
-C     The function value SB02MS is set to .TRUE. for an unstable
-C     eigenvalue (i.e., with modulus greater than or equal to one) and
-C     to .FALSE., otherwise.
-C
-C     REFERENCES
-C
-C     None.
-C
-C     NUMERICAL ASPECTS
-C
-C     None.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, Aug. 1997.
-C
-C     REVISIONS
-C
-C     -
-C
-C     KEYWORDS
-C
-C     Algebraic Riccati equation, closed loop system, discrete-time
-C     system, optimal regulator, Schur form.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION  ONE
-      PARAMETER         ( ONE = 1.0D0 )
-C     .. Scalar Arguments ..
-      DOUBLE PRECISION  IEIG, REIG
-C     .. External Functions ..
-      DOUBLE PRECISION   DLAPY2
-      EXTERNAL           DLAPY2
-C     .. Executable Statements ..
-C
-      SB02MS = DLAPY2( REIG, IEIG ).GE.ONE
-C
-      RETURN
-C *** Last line of SB02MS ***
-      END
--- a/extra/control-devel/devel/dksyn/SB02MV.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,75 +0,0 @@
-      LOGICAL FUNCTION SB02MV( REIG, IEIG )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To select the stable eigenvalues for solving the continuous-time
-C     algebraic Riccati equation.
-C
-C     ARGUMENTS
-C
-C     Input/Output Parameters
-C
-C     REIG    (input) DOUBLE PRECISION
-C             The real part of the current eigenvalue considered.
-C
-C     IEIG    (input) DOUBLE PRECISION
-C             The imaginary part of the current eigenvalue considered.
-C
-C     METHOD
-C
-C     The function value SB02MV is set to .TRUE. for a stable eigenvalue
-C     and to .FALSE., otherwise.
-C
-C     REFERENCES
-C
-C     None.
-C
-C     NUMERICAL ASPECTS
-C
-C     None.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, Aug. 1997.
-C
-C     REVISIONS
-C
-C     -
-C
-C     KEYWORDS
-C
-C     Algebraic Riccati equation, closed loop system, continuous-time
-C     system, optimal regulator, Schur form.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION  ZERO
-      PARAMETER         ( ZERO = 0.0D0 )
-C     .. Scalar Arguments ..
-      DOUBLE PRECISION  IEIG, REIG
-C     .. Executable Statements ..
-C
-      SB02MV = REIG.LT.ZERO
-C
-      RETURN
-C *** Last line of SB02MV ***
-      END
--- a/extra/control-devel/devel/dksyn/SB02MW.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,79 +0,0 @@
-      LOGICAL FUNCTION SB02MW( REIG, IEIG )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To select the stable eigenvalues for solving the discrete-time
-C     algebraic Riccati equation.
-C
-C     ARGUMENTS
-C
-C     Input/Output Parameters
-C
-C     REIG    (input) DOUBLE PRECISION
-C             The real part of the current eigenvalue considered.
-C
-C     IEIG    (input) DOUBLE PRECISION
-C             The imaginary part of the current eigenvalue considered.
-C
-C     METHOD
-C
-C     The function value SB02MW is set to .TRUE. for a stable
-C     eigenvalue (i.e., with modulus less than one) and to .FALSE.,
-C     otherwise.
-C
-C     REFERENCES
-C
-C     None.
-C
-C     NUMERICAL ASPECTS
-C
-C     None.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, Aug. 1997.
-C
-C     REVISIONS
-C
-C     -
-C
-C     KEYWORDS
-C
-C     Algebraic Riccati equation, closed loop system, discrete-time
-C     system, optimal regulator, Schur form.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION  ONE
-      PARAMETER         ( ONE = 1.0D0 )
-C     .. Scalar Arguments ..
-      DOUBLE PRECISION  IEIG, REIG
-C     .. External Functions ..
-      DOUBLE PRECISION   DLAPY2
-      EXTERNAL           DLAPY2
-C     .. Executable Statements ..
-C
-      SB02MW = DLAPY2( REIG, IEIG ).LT.ONE
-C
-      RETURN
-C *** Last line of SB02MW ***
-      END
--- a/extra/control-devel/devel/dksyn/SB02QD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,804 +0,0 @@
-      SUBROUTINE SB02QD( JOB, FACT, TRANA, UPLO, LYAPUN, N, A, LDA, T,
-     $                   LDT, U, LDU, G, LDG, Q, LDQ, X, LDX, SEP,
-     $                   RCOND, FERR, IWORK, DWORK, LDWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To estimate the conditioning and compute an error bound on the
-C     solution of the real continuous-time matrix algebraic Riccati
-C     equation
-C
-C         op(A)'*X + X*op(A) + Q - X*G*X = 0,                        (1)
-C
-C     where op(A) = A or A' (A**T) and Q, G are symmetric (Q = Q**T,
-C     G = G**T). The matrices A, Q and G are N-by-N and the solution X
-C     is N-by-N.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     JOB     CHARACTER*1
-C             Specifies the computation to be performed, as follows:
-C             = 'C':  Compute the reciprocal condition number only;
-C             = 'E':  Compute the error bound only;
-C             = 'B':  Compute both the reciprocal condition number and
-C                     the error bound.
-C
-C     FACT    CHARACTER*1
-C             Specifies whether or not the real Schur factorization of
-C             the matrix Ac = A - G*X (if TRANA = 'N') or Ac = A - X*G
-C             (if TRANA = 'T' or 'C') is supplied on entry, as follows:
-C             = 'F':  On entry, T and U (if LYAPUN = 'O') contain the
-C                     factors from the real Schur factorization of the
-C                     matrix Ac;
-C             = 'N':  The Schur factorization of Ac will be computed
-C                     and the factors will be stored in T and U (if
-C                     LYAPUN = 'O').
-C
-C     TRANA   CHARACTER*1
-C             Specifies the form of op(A) to be used, as follows:
-C             = 'N':  op(A) = A    (No transpose);
-C             = 'T':  op(A) = A**T (Transpose);
-C             = 'C':  op(A) = A**T (Conjugate transpose = Transpose).
-C
-C     UPLO    CHARACTER*1
-C             Specifies which part of the symmetric matrices Q and G is
-C             to be used, as follows:
-C             = 'U':  Upper triangular part;
-C             = 'L':  Lower triangular part.
-C
-C     LYAPUN  CHARACTER*1
-C             Specifies whether or not the original Lyapunov equations
-C             should be solved in the iterative estimation process,
-C             as follows:
-C             = 'O':  Solve the original Lyapunov equations, updating
-C                     the right-hand sides and solutions with the
-C                     matrix U, e.g., RHS <-- U'*RHS*U;
-C             = 'R':  Solve reduced Lyapunov equations only, without
-C                     updating the right-hand sides and solutions.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the matrices A, X, Q, and G.  N >= 0.
-C
-C     A       (input) DOUBLE PRECISION array, dimension (LDA,N)
-C             If FACT = 'N' or LYAPUN = 'O', the leading N-by-N part of
-C             this array must contain the matrix A.
-C             If FACT = 'F' and LYAPUN = 'R', A is not referenced.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.
-C             LDA >= max(1,N), if FACT = 'N' or  LYAPUN = 'O';
-C             LDA >= 1,        if FACT = 'F' and LYAPUN = 'R'.
-C
-C     T       (input or output) DOUBLE PRECISION array, dimension
-C             (LDT,N)
-C             If FACT = 'F', then T is an input argument and on entry,
-C             the leading N-by-N upper Hessenberg part of this array
-C             must contain the upper quasi-triangular matrix T in Schur
-C             canonical form from a Schur factorization of Ac (see
-C             argument FACT).
-C             If FACT = 'N', then T is an output argument and on exit,
-C             if INFO = 0 or INFO = N+1, the leading N-by-N upper
-C             Hessenberg part of this array contains the upper quasi-
-C             triangular matrix T in Schur canonical form from a Schur
-C             factorization of Ac (see argument FACT).
-C
-C     LDT     INTEGER
-C             The leading dimension of the array T.  LDT >= max(1,N).
-C
-C     U       (input or output) DOUBLE PRECISION array, dimension
-C             (LDU,N)
-C             If LYAPUN = 'O' and FACT = 'F', then U is an input
-C             argument and on entry, the leading N-by-N part of this
-C             array must contain the orthogonal matrix U from a real
-C             Schur factorization of Ac (see argument FACT).
-C             If LYAPUN = 'O' and FACT = 'N', then U is an output
-C             argument and on exit, if INFO = 0 or INFO = N+1, it
-C             contains the orthogonal N-by-N matrix from a real Schur
-C             factorization of Ac (see argument FACT).
-C             If LYAPUN = 'R', the array U is not referenced.
-C
-C     LDU     INTEGER
-C             The leading dimension of the array U.
-C             LDU >= 1,        if LYAPUN = 'R';
-C             LDU >= MAX(1,N), if LYAPUN = 'O'.
-C
-C     G       (input) DOUBLE PRECISION array, dimension (LDG,N)
-C             If UPLO = 'U', the leading N-by-N upper triangular part of
-C             this array must contain the upper triangular part of the
-C             matrix G.
-C             If UPLO = 'L', the leading N-by-N lower triangular part of
-C             this array must contain the lower triangular part of the
-C             matrix G.                     _
-C             Matrix G should correspond to G in the "reduced" Riccati
-C             equation (with matrix T, instead of A), if LYAPUN = 'R'.
-C             See METHOD.
-C
-C     LDG     INTEGER
-C             The leading dimension of the array G.  LDG >= max(1,N).
-C
-C     Q       (input) DOUBLE PRECISION array, dimension (LDQ,N)
-C             If UPLO = 'U', the leading N-by-N upper triangular part of
-C             this array must contain the upper triangular part of the
-C             matrix Q.
-C             If UPLO = 'L', the leading N-by-N lower triangular part of
-C             this array must contain the lower triangular part of the
-C             matrix Q.                     _
-C             Matrix Q should correspond to Q in the "reduced" Riccati
-C             equation (with matrix T, instead of A), if LYAPUN = 'R'.
-C             See METHOD.
-C
-C     LDQ     INTEGER
-C             The leading dimension of the array Q.  LDQ >= max(1,N).
-C
-C     X       (input) DOUBLE PRECISION array, dimension (LDX,N)
-C             The leading N-by-N part of this array must contain the
-C             symmetric solution matrix of the original Riccati
-C             equation (with matrix A), if LYAPUN = 'O', or of the
-C             "reduced" Riccati equation (with matrix T), if
-C             LYAPUN = 'R'. See METHOD.
-C
-C     LDX     INTEGER
-C             The leading dimension of the array X.  LDX >= max(1,N).
-C
-C     SEP     (output) DOUBLE PRECISION
-C             If JOB = 'C' or JOB = 'B', the estimated quantity
-C             sep(op(Ac),-op(Ac)').
-C             If N = 0, or X = 0, or JOB = 'E', SEP is not referenced.
-C
-C     RCOND   (output) DOUBLE PRECISION
-C             If JOB = 'C' or JOB = 'B', an estimate of the reciprocal
-C             condition number of the continuous-time Riccati equation.
-C             If N = 0 or X = 0, RCOND is set to 1 or 0, respectively.
-C             If JOB = 'E', RCOND is not referenced.
-C
-C     FERR    (output) DOUBLE PRECISION
-C             If JOB = 'E' or JOB = 'B', an estimated forward error
-C             bound for the solution X. If XTRUE is the true solution,
-C             FERR bounds the magnitude of the largest entry in
-C             (X - XTRUE) divided by the magnitude of the largest entry
-C             in X.
-C             If N = 0 or X = 0, FERR is set to 0.
-C             If JOB = 'C', FERR is not referenced.
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension (N*N)
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if INFO = 0 or INFO = N+1, DWORK(1) returns the
-C             optimal value of LDWORK.
-C
-C     LDWORK  INTEGER
-C             The dimension of the array DWORK.
-C             Let LWA = N*N, if LYAPUN = 'O' and JOB = 'E' or 'B';
-C                 LWA = 0,   otherwise.
-C             If FACT = 'N', then
-C                LDWORK  = MAX(1, 5*N, 2*N*N),        if JOB = 'C';
-C                LDWORK  = MAX(1, LWA + 5*N, 4*N*N ), if JOB = 'E', 'B'.
-C             If FACT = 'F', then
-C                LDWORK  = MAX(1, 2*N*N),  if JOB = 'C';
-C                LDWORK  = MAX(1, 4*N*N ), if JOB = 'E' or 'B'.
-C             For good performance, LDWORK must generally be larger.
-C
-C     Error indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             > 0:  if INFO = i, i <= N, the QR algorithm failed to
-C                   complete the reduction of the matrix Ac to Schur
-C                   canonical form (see LAPACK Library routine DGEES);
-C                   on exit, the matrix T(i+1:N,i+1:N) contains the
-C                   partially converged Schur form, and DWORK(i+1:N) and
-C                   DWORK(N+i+1:2*N) contain the real and imaginary
-C                   parts, respectively, of the converged eigenvalues;
-C                   this error is unlikely to appear;
-C             = N+1:  if the matrices T and -T' have common or very
-C                   close eigenvalues; perturbed values were used to
-C                   solve Lyapunov equations, but the matrix T, if given
-C                   (for FACT = 'F'), is unchanged.
-C
-C     METHOD
-C
-C     The condition number of the Riccati equation is estimated as
-C
-C     cond = ( norm(Theta)*norm(A) + norm(inv(Omega))*norm(Q) +
-C                 norm(Pi)*norm(G) ) / norm(X),
-C
-C     where Omega, Theta and Pi are linear operators defined by
-C
-C     Omega(W) = op(Ac)'*W + W*op(Ac),
-C     Theta(W) = inv(Omega(op(W)'*X + X*op(W))),
-C        Pi(W) = inv(Omega(X*W*X)),
-C
-C     and Ac = A - G*X (if TRANA = 'N') or Ac = A - X*G (if TRANA = 'T'
-C     or 'C'). Note that the Riccati equation (1) is equivalent to
-C                _   _         _   _ _ _
-C         op(T)'*X + X*op(T) + Q + X*G*X = 0,                        (2)
-C           _           _               _
-C     where X = U'*X*U, Q = U'*Q*U, and G = U'*G*U, with U the
-C     orthogonal matrix reducing Ac to a real Schur form, T = U'*Ac*U.
-C
-C     The routine estimates the quantities
-C
-C     sep(op(Ac),-op(Ac)') = 1 / norm(inv(Omega)),
-C
-C     norm(Theta) and norm(Pi) using 1-norm condition estimator.
-C
-C     The forward error bound is estimated using a practical error bound
-C     similar to the one proposed in [2].
-C
-C     REFERENCES
-C
-C     [1] Ghavimi, A.R. and Laub, A.J.
-C         Backward error, sensitivity, and refinement of computed
-C         solutions of algebraic Riccati equations.
-C         Numerical Linear Algebra with Applications, vol. 2, pp. 29-49,
-C         1995.
-C
-C     [2] Higham, N.J.
-C         Perturbation theory and backward error for AX-XB=C.
-C         BIT, vol. 33, pp. 124-136, 1993.
-C
-C     [3] Petkov, P.Hr., Konstantinov, M.M., and Mehrmann, V.
-C         DGRSVX and DMSRIC: Fortran 77 subroutines for solving
-C         continuous-time matrix algebraic Riccati equations with
-C         condition and accuracy estimates.
-C         Preprint SFB393/98-16, Fak. f. Mathematik, Tech. Univ.
-C         Chemnitz, May 1998.
-C
-C     NUMERICAL ASPECTS
-C                               3
-C     The algorithm requires 0(N ) operations.
-C     The accuracy of the estimates obtained depends on the solution
-C     accuracy and on the properties of the 1-norm estimator.
-C
-C     FURTHER COMMENTS
-C
-C     The option LYAPUN = 'R' may occasionally produce slightly worse
-C     or better estimates, and it is much faster than the option 'O'.
-C     When SEP is computed and it is zero, the routine returns
-C     immediately, with RCOND and FERR (if requested) set to 0 and 1,
-C     respectively. In this case, the equation is singular.
-C
-C     CONTRIBUTOR
-C
-C     P.Hr. Petkov, Technical University of Sofia, December 1998.
-C     V. Sima, Katholieke Univ. Leuven, Belgium, February 1999.
-C
-C     REVISIONS
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Oct. 2004.
-C
-C     KEYWORDS
-C
-C     Conditioning, error estimates, orthogonal transformation,
-C     real Schur form, Riccati equation.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE, TWO, FOUR, HALF
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0, TWO = 2.0D+0,
-     $                     FOUR = 4.0D+0, HALF = 0.5D+0 )
-C     ..
-C     .. Scalar Arguments ..
-      CHARACTER          FACT, JOB, LYAPUN, TRANA, UPLO
-      INTEGER            INFO, LDA, LDG, LDQ, LDT, LDU, LDWORK, LDX, N
-      DOUBLE PRECISION   FERR, RCOND, SEP
-C     ..
-C     .. Array Arguments ..
-      INTEGER            IWORK( * )
-      DOUBLE PRECISION   A( LDA, * ), DWORK( * ),  G( LDG, * ),
-     $                   Q( LDQ, * ), T( LDT, * ), U( LDU, * ),
-     $                   X( LDX, * )
-C     ..
-C     .. Local Scalars ..
-      LOGICAL            JOBB, JOBC, JOBE, LOWER, NEEDAC, NOFACT,
-     $                   NOTRNA, UPDATE
-      CHARACTER          LOUP, SJOB, TRANAT
-      INTEGER            I, IABS, INFO2, IRES, ITMP, IXBS, J, JJ, JX,
-     $                   KASE, LDW, LWA, NN, SDIM, WRKOPT
-      DOUBLE PRECISION   ANORM, BIGNUM, DENOM, EPS, EPSN, EST, GNORM,
-     $                   PINORM, QNORM, SCALE, SIG, TEMP, THNORM, TMAX,
-     $                   XANORM, XNORM
-C     ..
-C     .. Local Arrays ..
-      LOGICAL            BWORK( 1 )
-C     ..
-C     .. External Functions ..
-      LOGICAL            LSAME, SELECT
-      DOUBLE PRECISION   DLAMCH, DLANGE, DLANHS, DLANSY
-      EXTERNAL           DLAMCH, DLANGE, DLANHS, DLANSY, LSAME, SELECT
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DAXPY, DCOPY, DGEES, DLACON, DLACPY, DSCAL,
-     $                   DSYMM, DSYR2K, MA02ED, MB01RU, MB01UD, SB03MY,
-     $                   SB03QX, SB03QY, XERBLA
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          ABS, DBLE, INT, MAX, MIN
-C     ..
-C     .. Executable Statements ..
-C
-C     Decode and Test input parameters.
-C
-      JOBC   = LSAME( JOB,    'C' )
-      JOBE   = LSAME( JOB,    'E' )
-      JOBB   = LSAME( JOB,    'B' )
-      NOFACT = LSAME( FACT,   'N' )
-      NOTRNA = LSAME( TRANA,  'N' )
-      LOWER  = LSAME( UPLO,   'L' )
-      UPDATE = LSAME( LYAPUN, 'O' )
-C
-      NEEDAC = UPDATE .AND. .NOT.JOBC
-C
-      NN = N*N
-      IF( NEEDAC ) THEN
-         LWA = NN
-      ELSE
-         LWA = 0
-      END IF
-C
-      IF( NOFACT ) THEN
-         IF( JOBC ) THEN
-            LDW = MAX( 5*N, 2*NN )
-         ELSE
-            LDW = MAX( LWA + 5*N, 4*NN )
-         END IF
-      ELSE
-         IF( JOBC ) THEN
-            LDW = 2*NN
-         ELSE
-            LDW = 4*NN
-         END IF
-      END IF
-C
-      INFO = 0
-      IF( .NOT.( JOBB .OR. JOBC .OR. JOBE ) ) THEN
-         INFO = -1
-      ELSE IF( .NOT.( NOFACT .OR. LSAME( FACT,   'F' ) ) ) THEN
-         INFO = -2
-      ELSE IF( .NOT.( NOTRNA .OR. LSAME( TRANA,  'T' ) .OR.
-     $                            LSAME( TRANA,  'C' ) ) ) THEN
-         INFO = -3
-      ELSE IF( .NOT.( LOWER  .OR. LSAME( UPLO,   'U' ) ) ) THEN
-         INFO = -4
-      ELSE IF( .NOT.( UPDATE .OR. LSAME( LYAPUN, 'R' ) ) ) THEN
-         INFO = -5
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -6
-      ELSE IF( LDA.LT.1 .OR.
-     $       ( LDA.LT.N .AND. ( UPDATE .OR. NOFACT ) ) ) THEN
-         INFO = -8
-      ELSE IF( LDT.LT.MAX( 1, N ) ) THEN
-         INFO = -10
-      ELSE IF( LDU.LT.1 .OR. ( LDU.LT.N .AND. UPDATE ) ) THEN
-         INFO = -12
-      ELSE IF( LDG.LT.MAX( 1, N ) ) THEN
-         INFO = -14
-      ELSE IF( LDQ.LT.MAX( 1, N ) ) THEN
-         INFO = -16
-      ELSE IF( LDX.LT.MAX( 1, N ) ) THEN
-         INFO = -18
-      ELSE IF( LDWORK.LT.MAX( 1, LDW ) ) THEN
-         INFO = -24
-      END IF
-C
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'SB02QD', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF( N.EQ.0 ) THEN
-         IF( .NOT.JOBE )
-     $      RCOND = ONE
-         IF( .NOT.JOBC )
-     $      FERR  = ZERO
-         DWORK( 1 ) = ONE
-         RETURN
-      END IF
-C
-C     Compute the 1-norm of the matrix X.
-C
-      XNORM = DLANSY( '1-norm', UPLO, N, X, LDX, DWORK )
-      IF( XNORM.EQ.ZERO ) THEN
-C
-C        The solution is zero.
-C
-         IF( .NOT.JOBE )
-     $      RCOND = ZERO
-         IF( .NOT.JOBC )
-     $      FERR  = ZERO
-         DWORK( 1 ) = DBLE( N )
-         RETURN
-      END IF
-C
-C     Workspace usage.
-C
-      IXBS = 0
-      ITMP = IXBS + NN
-      IABS = ITMP + NN
-      IRES = IABS + NN
-C
-C     Workspace:  LWR, where
-C                 LWR = N*N, if LYAPUN = 'O' and JOB = 'E' or 'B', or
-C                               FACT = 'N',
-C                 LWR = 0,   otherwise.
-C
-      IF( NEEDAC .OR. NOFACT ) THEN
-C
-         CALL DLACPY( 'Full', N, N, A, LDA, DWORK, N )
-         IF( NOTRNA ) THEN
-C
-C           Compute Ac = A - G*X.
-C
-            CALL DSYMM( 'Left', UPLO, N, N, -ONE, G, LDG, X, LDX, ONE,
-     $                  DWORK, N )
-         ELSE
-C
-C           Compute Ac = A - X*G.
-C
-            CALL DSYMM( 'Right', UPLO, N, N, -ONE, G, LDG, X, LDX, ONE,
-     $                  DWORK, N )
-         END IF
-C
-         WRKOPT = DBLE( NN )
-         IF( NOFACT )
-     $      CALL DLACPY( 'Full', N, N, DWORK, N, T, LDT )
-      ELSE
-         WRKOPT = DBLE( N )
-      END IF
-C
-      IF( NOFACT ) THEN
-C
-C        Compute the Schur factorization of Ac, Ac = U*T*U'.
-C        Workspace:  need   LWA + 5*N;
-C                    prefer larger;
-C                    LWA = N*N, if LYAPUN = 'O' and JOB = 'E' or 'B';
-C                    LWA = 0,   otherwise.
-C        (Note: Comments in the code beginning "Workspace:" describe the
-C        minimal amount of real workspace needed at that point in the
-C        code, as well as the preferred amount for good performance.)
-C
-         IF( UPDATE ) THEN
-            SJOB = 'V'
-         ELSE
-            SJOB = 'N'
-         END IF
-         CALL DGEES( SJOB, 'Not ordered', SELECT, N, T, LDT, SDIM,
-     $               DWORK( LWA+1 ), DWORK( LWA+N+1 ), U, LDU,
-     $               DWORK( LWA+2*N+1 ), LDWORK-LWA-2*N, BWORK, INFO )
-         IF( INFO.GT.0 ) THEN
-            IF( LWA.GT.0 )
-     $         CALL DCOPY( 2*N, DWORK( LWA+1 ), 1, DWORK, 1 )
-            RETURN
-         END IF
-C
-         WRKOPT = MAX( WRKOPT, INT( DWORK( LWA+2*N+1 ) ) + LWA + 2*N )
-      END IF
-      IF( NEEDAC )
-     $   CALL DLACPY( 'Full', N, N, DWORK, N, DWORK( IABS+1 ), N )
-C
-      IF( NOTRNA ) THEN
-         TRANAT = 'T'
-      ELSE
-         TRANAT = 'N'
-      END IF
-C
-      IF( .NOT.JOBE ) THEN
-C
-C        Estimate sep(op(Ac),-op(Ac)') = sep(op(T),-op(T)') and
-C        norm(Theta).
-C        Workspace LWA + 2*N*N.
-C
-         CALL SB03QY( 'Both', TRANA, LYAPUN, N, T, LDT, U, LDU, X, LDX,
-     $                SEP, THNORM, IWORK, DWORK, LDWORK, INFO )
-C
-         WRKOPT = MAX( WRKOPT, LWA + 2*NN )
-C
-C        Return if the equation is singular.
-C
-         IF( SEP.EQ.ZERO ) THEN
-            RCOND = ZERO
-            IF( JOBB )
-     $         FERR = ONE
-            DWORK( 1 ) = DBLE( WRKOPT )
-            RETURN
-         END IF
-C
-C        Estimate norm(Pi).
-C        Workspace LWA + 2*N*N.
-C
-         KASE = 0
-C
-C        REPEAT
-   10    CONTINUE
-         CALL DLACON( NN, DWORK( ITMP+1 ), DWORK, IWORK, EST, KASE )
-         IF( KASE.NE.0 ) THEN
-C
-C           Select the triangular part of symmetric matrix to be used.
-C
-            IF( DLANSY( '1-norm', 'Upper', N, DWORK, N, DWORK( ITMP+1 ))
-     $          .GE.
-     $          DLANSY( '1-norm', 'Lower', N, DWORK, N, DWORK( ITMP+1 ))
-     $        ) THEN
-               LOUP = 'U'
-            ELSE
-               LOUP = 'L'
-            END IF
-C
-C           Compute RHS = X*W*X.
-C
-            CALL MB01RU( LOUP, 'No Transpose', N, N, ZERO, ONE, DWORK,
-     $                   N, X, LDX, DWORK, N, DWORK( ITMP+1 ), NN,
-     $                   INFO2 )
-            CALL DSCAL( N, HALF, DWORK, N+1 )
-C
-            IF( UPDATE ) THEN
-C
-C              Transform the right-hand side: RHS := U'*RHS*U.
-C
-               CALL MB01RU( LOUP, 'Transpose', N, N, ZERO, ONE, DWORK,
-     $                      N, U, LDU, DWORK, N, DWORK( ITMP+1 ), NN,
-     $                      INFO2 )
-               CALL DSCAL( N, HALF, DWORK, N+1 )
-            END IF
-C
-C           Fill in the remaining triangle of the symmetric matrix.
-C
-            CALL MA02ED( LOUP, N, DWORK, N )
-C
-            IF( KASE.EQ.1 ) THEN
-C
-C              Solve op(T)'*Y + Y*op(T) = scale*RHS.
-C
-               CALL SB03MY( TRANA, N, T, LDT, DWORK, N, SCALE, INFO2 )
-            ELSE
-C
-C              Solve op(T)*W + W*op(T)' = scale*RHS.
-C
-               CALL SB03MY( TRANAT, N, T, LDT, DWORK, N, SCALE, INFO2 )
-            END IF
-C
-            IF( UPDATE ) THEN
-C
-C              Transform back to obtain the solution: Z := U*Z*U', with
-C              Z = Y or Z = W.
-C
-               CALL MB01RU( LOUP, 'No transpose', N, N, ZERO, ONE,
-     $                      DWORK, N, U, LDU, DWORK, N, DWORK( ITMP+1 ),
-     $                      NN, INFO2 )
-               CALL DSCAL( N, HALF, DWORK, N+1 )
-C
-C              Fill in the remaining triangle of the symmetric matrix.
-C
-               CALL MA02ED( LOUP, N, DWORK, N )
-            END IF
-            GO TO 10
-         END IF
-C        UNTIL KASE = 0
-C
-         IF( EST.LT.SCALE ) THEN
-            PINORM = EST / SCALE
-         ELSE
-            BIGNUM = ONE / DLAMCH( 'Safe minimum' )
-            IF( EST.LT.SCALE*BIGNUM ) THEN
-               PINORM = EST / SCALE
-            ELSE
-               PINORM = BIGNUM
-            END IF
-         END IF
-C
-C        Compute the 1-norm of A or T.
-C
-         IF( UPDATE ) THEN
-            ANORM = DLANGE( '1-norm', N, N, A, LDA, DWORK )
-         ELSE
-            ANORM = DLANHS( '1-norm', N, T, LDT, DWORK )
-         END IF
-C
-C        Compute the 1-norms of the matrices Q and G.
-C
-         QNORM = DLANSY( '1-norm', UPLO, N, Q, LDQ, DWORK )
-         GNORM = DLANSY( '1-norm', UPLO, N, G, LDG, DWORK )
-C
-C        Estimate the reciprocal condition number.
-C
-         TMAX = MAX( SEP, XNORM, ANORM, GNORM )
-         IF( TMAX.LE.ONE ) THEN
-            TEMP  = SEP*XNORM
-            DENOM = QNORM + ( SEP*ANORM )*THNORM +
-     $                      ( SEP*GNORM )*PINORM
-         ELSE
-            TEMP  =   ( SEP / TMAX )*( XNORM / TMAX )
-            DENOM = ( ( ONE / TMAX )*( QNORM / TMAX ) ) +
-     $              ( ( SEP / TMAX )*( ANORM / TMAX ) )*THNORM +
-     $              ( ( SEP / TMAX )*( GNORM / TMAX ) )*PINORM
-         END IF
-         IF( TEMP.GE.DENOM ) THEN
-            RCOND = ONE
-         ELSE
-            RCOND = TEMP / DENOM
-         END IF
-      END IF
-C
-      IF( .NOT.JOBC ) THEN
-C
-C        Form a triangle of the residual matrix
-C          R = op(A)'*X + X*op(A) + Q - X*G*X,
-C        or           _   _         _   _ _ _
-C          R = op(T)'*X + X*op(T) + Q + X*G*X,
-C        exploiting the symmetry.
-C        Workspace 4*N*N.
-C
-         IF( UPDATE ) THEN
-            CALL DLACPY( UPLO, N, N, Q, LDQ, DWORK( IRES+1 ), N )
-            CALL DSYR2K( UPLO, TRANAT, N, N, ONE, A, LDA, X, LDX, ONE,
-     $                   DWORK( IRES+1 ), N )
-            SIG = -ONE
-         ELSE
-            CALL MB01UD( 'Right', TRANA, N, N, ONE, T, LDT, X, LDX,
-     $                   DWORK( IRES+1 ), N, INFO2 )
-            JJ = IRES + 1
-            IF( LOWER ) THEN
-               DO 20 J = 1, N
-                  CALL DAXPY( N-J+1, ONE, DWORK( JJ ), N, DWORK( JJ ),
-     $                        1 )
-                  CALL DAXPY( N-J+1, ONE, Q( J, J ), 1, DWORK( JJ ), 1 )
-                  JJ = JJ + N + 1
-   20          CONTINUE
-            ELSE
-               DO 30 J = 1, N
-                  CALL DAXPY( J, ONE, DWORK( IRES+J ), N, DWORK( JJ ),
-     $                        1 )
-                  CALL DAXPY( J, ONE, Q( 1, J ), 1, DWORK( JJ ), 1 )
-                  JJ = JJ + N
-   30          CONTINUE
-            END IF
-            SIG = ONE
-         END IF
-         CALL MB01RU( UPLO, TRANAT, N, N, ONE, SIG, DWORK( IRES+1 ),
-     $                N, X, LDX, G, LDG, DWORK( ITMP+1 ), NN, INFO2 )
-C
-C        Get the machine precision.
-C
-         EPS  = DLAMCH( 'Epsilon' )
-         EPSN = EPS*DBLE( N + 4 )
-         TEMP = EPS*FOUR
-C
-C        Add to abs(R) a term that takes account of rounding errors in
-C        forming R:
-C         abs(R) := abs(R) + EPS*(4*abs(Q) + (n+4)*(abs(op(Ac))'*abs(X)
-C                 + abs(X)*abs(op(Ac))) + 2*(n+1)*abs(X)*abs(G)*abs(X)),
-C        or                             _                           _
-C         abs(R) := abs(R) + EPS*(4*abs(Q) + (n+4)*(abs(op(T))'*abs(X)
-C                       _                            _      _      _
-C                 + abs(X)*abs(op(T))) + 2*(n+1)*abs(X)*abs(G)*abs(X)),
-C        where EPS is the machine precision.
-C
-         DO 50 J = 1, N
-            DO 40 I = 1, N
-               DWORK( IXBS+(J-1)*N+I ) = ABS( X( I, J ) )
-   40       CONTINUE
-   50    CONTINUE
-C
-         IF( LOWER ) THEN
-            DO 70 J = 1, N
-               DO 60 I = J, N
-                  DWORK( IRES+(J-1)*N+I ) = TEMP*ABS( Q( I, J ) ) +
-     $                   ABS( DWORK( IRES+(J-1)*N+I ) )
-   60          CONTINUE
-   70       CONTINUE
-         ELSE
-            DO 90 J = 1, N
-               DO 80 I = 1, J
-                  DWORK( IRES+(J-1)*N+I ) = TEMP*ABS( Q( I, J ) ) +
-     $                   ABS( DWORK( IRES+(J-1)*N+I ) )
-   80          CONTINUE
-   90       CONTINUE
-         END IF
-C
-         IF( UPDATE ) THEN
-C
-            DO 110 J = 1, N
-               DO 100 I = 1, N
-                  DWORK( IABS+(J-1)*N+I ) =
-     $               ABS( DWORK( IABS+(J-1)*N+I ) )
-  100          CONTINUE
-  110       CONTINUE
-C
-            CALL DSYR2K( UPLO, TRANAT, N, N, EPSN, DWORK( IABS+1 ), N,
-     $                   DWORK( IXBS+1 ), N, ONE,  DWORK( IRES+1 ), N )
-         ELSE
-C
-            DO 130 J = 1, N
-               DO 120 I = 1, MIN( J+1, N )
-                  DWORK( IABS+(J-1)*N+I ) = ABS( T( I, J ) )
-  120          CONTINUE
-  130       CONTINUE
-C
-            CALL MB01UD( 'Left', TRANAT, N, N, EPSN, DWORK( IABS+1 ), N,
-     $                   DWORK( IXBS+1), N, DWORK( ITMP+1 ), N, INFO2 )
-            JJ = IRES + 1
-            JX = ITMP + 1
-            IF( LOWER ) THEN
-               DO 140 J = 1, N
-                  CALL DAXPY( N-J+1, ONE, DWORK( JX ), N, DWORK( JX ),
-     $                        1 )
-                  CALL DAXPY( N-J+1, ONE, DWORK( JX ), 1, DWORK( JJ ),
-     $                        1 )
-                  JJ = JJ + N + 1
-                  JX = JX + N + 1
-  140          CONTINUE
-            ELSE
-               DO 150 J = 1, N
-                  CALL DAXPY( J, ONE, DWORK( ITMP+J ), N, DWORK( JX ),
-     $                        1 )
-                  CALL DAXPY( J, ONE, DWORK( JX ), 1, DWORK( JJ ), 1 )
-                  JJ = JJ + N
-                  JX = JX + N
-  150          CONTINUE
-            END IF
-         END IF
-C
-         IF( LOWER ) THEN
-            DO 170 J = 1, N
-               DO 160 I = J, N
-                  DWORK( IABS+(J-1)*N+I ) = ABS( G( I, J ) )
-  160          CONTINUE
-  170       CONTINUE
-         ELSE
-            DO 190 J = 1, N
-               DO 180 I = 1, J
-                  DWORK( IABS+(J-1)*N+I ) = ABS( G( I, J ) )
-  180          CONTINUE
-  190       CONTINUE
-         END IF
-C
-         CALL MB01RU( UPLO, TRANA, N, N, ONE, EPS*DBLE( 2*( N + 1 ) ),
-     $                DWORK( IRES+1 ), N, DWORK( IXBS+1), N,
-     $                DWORK( IABS+1 ), N, DWORK( ITMP+1 ), NN, INFO2 )
-C
-         WRKOPT = MAX( WRKOPT, 4*NN )
-C
-C        Compute forward error bound, using matrix norm estimator.
-C        Workspace 4*N*N.
-C
-         XANORM = DLANSY( 'Max', UPLO, N, X, LDX, DWORK )
-C
-         CALL SB03QX( TRANA, UPLO, LYAPUN, N, XANORM, T, LDT, U, LDU,
-     $                DWORK( IRES+1 ), N, FERR, IWORK, DWORK, IRES,
-     $                INFO )
-      END IF
-C
-      DWORK( 1 ) = DBLE( WRKOPT )
-      RETURN
-C
-C *** Last line of SB02QD ***
-      END
--- a/extra/control-devel/devel/dksyn/SB02RD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,1133 +0,0 @@
-      SUBROUTINE SB02RD( JOB, DICO, HINV, TRANA, UPLO, SCAL, SORT, FACT,
-     $                   LYAPUN, N, A, LDA, T, LDT, V, LDV, G, LDG, Q,
-     $                   LDQ, X, LDX, SEP, RCOND, FERR, WR, WI, S, LDS,
-     $                   IWORK, DWORK, LDWORK, BWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To solve for X either the continuous-time algebraic Riccati
-C     equation
-C                                          -1
-C        Q + op(A)'*X + X*op(A) - X*op(B)*R  op(B)'*X = 0,           (1)
-C
-C     or the discrete-time algebraic Riccati equation
-C                                                                -1
-C        X = op(A)'*X*op(A) - op(A)'*X*op(B)*(R + op(B)'*X*op(B))  *
-C                             op(B)'*X*op(A) + Q,                    (2)
-C
-C     where op(M) = M or M' (M**T), A, op(B), Q, and R are N-by-N,
-C     N-by-M, N-by-N, and M-by-M matrices respectively, with Q symmetric
-C     and R symmetric nonsingular; X is an N-by-N symmetric matrix.
-C                           -1
-C     The matrix G = op(B)*R  *op(B)' must be provided on input, instead
-C     of B and R, that is, the continuous-time equation
-C
-C        Q + op(A)'*X + X*op(A) - X*G*X = 0,                         (3)
-C
-C     or the discrete-time equation
-C                                -1
-C        Q + op(A)'*X*(I_n + G*X)  *op(A) - X = 0,                   (4)
-C
-C     are solved, where G is an N-by-N symmetric matrix. SLICOT Library
-C     routine SB02MT should be used to compute G, given B and R. SB02MT
-C     also enables to solve Riccati equations corresponding to optimal
-C     problems with coupling terms.
-C
-C     The routine also returns the computed values of the closed-loop
-C     spectrum of the optimal system, i.e., the stable eigenvalues
-C     lambda(1),...,lambda(N) of the corresponding Hamiltonian or
-C     symplectic matrix associated to the optimal problem. It is assumed
-C     that the matrices A, G, and Q are such that the associated
-C     Hamiltonian or symplectic matrix has N stable eigenvalues, i.e.,
-C     with negative real parts, in the continuous-time case, and with
-C     moduli less than one, in the discrete-time case.
-C
-C     Optionally, estimates of the conditioning and error bound on the
-C     solution of the Riccati equation (3) or (4) are returned.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     JOB     CHARACTER*1
-C             Specifies the computation to be performed, as follows:
-C             = 'X':  Compute the solution only;
-C             = 'C':  Compute the reciprocal condition number only;
-C             = 'E':  Compute the error bound only;
-C             = 'A':  Compute all: the solution, reciprocal condition
-C                     number, and the error bound.
-C
-C     DICO    CHARACTER*1
-C             Specifies the type of Riccati equation to be solved or
-C             analyzed, as follows:
-C             = 'C':  Equation (3), continuous-time case;
-C             = 'D':  Equation (4), discrete-time case.
-C
-C     HINV    CHARACTER*1
-C             If DICO = 'D' and JOB = 'X' or JOB = 'A', specifies which
-C             symplectic matrix is to be constructed, as follows:
-C             = 'D':  The matrix H in (6) (see METHOD) is constructed;
-C             = 'I':  The inverse of the matrix H in (6) is constructed.
-C             HINV is not used if DICO = 'C', or JOB = 'C' or 'E'.
-C
-C     TRANA   CHARACTER*1
-C             Specifies the form of op(A) to be used, as follows:
-C             = 'N':  op(A) = A    (No transpose);
-C             = 'T':  op(A) = A**T (Transpose);
-C             = 'C':  op(A) = A**T (Conjugate transpose = Transpose).
-C
-C     UPLO    CHARACTER*1
-C             Specifies which triangle of the matrices G and Q is
-C             stored, as follows:
-C             = 'U':  Upper triangle is stored;
-C             = 'L':  Lower triangle is stored.
-C
-C     SCAL    CHARACTER*1
-C             If JOB = 'X' or JOB = 'A', specifies whether or not a
-C             scaling strategy should be used, as follows:
-C             = 'G':  General scaling should be used;
-C             = 'N':  No scaling should be used.
-C             SCAL is not used if JOB = 'C' or 'E'.
-C
-C     SORT    CHARACTER*1
-C             If JOB = 'X' or JOB = 'A', specifies which eigenvalues
-C             should be obtained in the top of the Schur form, as
-C             follows:
-C             = 'S':  Stable   eigenvalues come first;
-C             = 'U':  Unstable eigenvalues come first.
-C             SORT is not used if JOB = 'C' or 'E'.
-C
-C     FACT    CHARACTER*1
-C             If JOB <> 'X', specifies whether or not a real Schur
-C             factorization of the closed-loop system matrix Ac is
-C             supplied on entry, as follows:
-C             = 'F':  On entry, T and V contain the factors from a real
-C                     Schur factorization of the matrix Ac;
-C             = 'N':  A Schur factorization of Ac will be computed
-C                     and the factors will be stored in T and V.
-C             For a continuous-time system, the matrix Ac is given by
-C                Ac = A - G*X, if TRANA = 'N', or
-C                Ac = A - X*G, if TRANA = 'T' or 'C',
-C             and for a discrete-time system, the matrix Ac is given by
-C                Ac = inv(I_n + G*X)*A, if TRANA = 'N', or
-C                Ac = A*inv(I_n + X*G), if TRANA = 'T' or 'C'.
-C             FACT is not used if JOB = 'X'.
-C
-C     LYAPUN  CHARACTER*1
-C             If JOB <> 'X', specifies whether or not the original or
-C             "reduced" Lyapunov equations should be solved for
-C             estimating reciprocal condition number and/or the error
-C             bound, as follows:
-C             = 'O':  Solve the original Lyapunov equations, updating
-C                     the right-hand sides and solutions with the
-C                     matrix V, e.g., X <-- V'*X*V;
-C             = 'R':  Solve reduced Lyapunov equations only, without
-C                     updating the right-hand sides and solutions.
-C                     This means that a real Schur form T of Ac appears
-C                     in the equations, instead of Ac.
-C             LYAPUN is not used if JOB = 'X'.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the matrices A, Q, G, and X.  N >= 0.
-C
-C     A       (input) DOUBLE PRECISION array, dimension (LDA,N)
-C             If JOB = 'X' or JOB = 'A' or FACT = 'N' or LYAPUN = 'O',
-C             the leading N-by-N part of this array must contain the
-C             coefficient matrix A of the equation.
-C             If JOB = 'C' or 'E' and FACT = 'F' and LYAPUN = 'R', A is
-C             not referenced.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.
-C             LDA >= MAX(1,N), if JOB  = 'X' or JOB = 'A' or
-C                                 FACT = 'N' or LYAPUN = 'O'.
-C             LDA >= 1,        otherwise.
-C
-C     T       (input or output) DOUBLE PRECISION array, dimension
-C             (LDT,N)
-C             If JOB <> 'X' and FACT = 'F', then T is an input argument
-C             and on entry, the leading N-by-N upper Hessenberg part of
-C             this array must contain the upper quasi-triangular matrix
-C             T in Schur canonical form from a Schur factorization of Ac
-C             (see argument FACT).
-C             If JOB <> 'X' and FACT = 'N', then T is an output argument
-C             and on exit, if INFO = 0 or INFO = 7, the leading N-by-N
-C             upper Hessenberg part of this array contains the upper
-C             quasi-triangular matrix T in Schur canonical form from a
-C             Schur factorization of Ac (see argument FACT).
-C             If JOB = 'X', the array T is not referenced.
-C
-C     LDT     INTEGER
-C             The leading dimension of the array T.
-C             LDT >= 1,        if JOB =  'X';
-C             LDT >= MAX(1,N), if JOB <> 'X'.
-C
-C     V       (input or output) DOUBLE PRECISION array, dimension
-C             (LDV,N)
-C             If JOB <> 'X' and FACT = 'F', then V is an input argument
-C             and on entry, the leading N-by-N part of this array must
-C             contain the orthogonal matrix V from a real Schur
-C             factorization of Ac (see argument FACT).
-C             If JOB <> 'X' and FACT = 'N', then V is an output argument
-C             and on exit, if INFO = 0 or INFO = 7, the leading N-by-N
-C             part of this array contains the orthogonal N-by-N matrix
-C             from a real Schur factorization of Ac (see argument FACT).
-C             If JOB = 'X', the array V is not referenced.
-C
-C     LDV     INTEGER
-C             The leading dimension of the array V.
-C             LDV >= 1,        if JOB =  'X';
-C             LDV >= MAX(1,N), if JOB <> 'X'.
-C
-C     G       (input/output) DOUBLE PRECISION array, dimension (LDG,N)
-C             On entry, the leading N-by-N upper triangular part (if
-C             UPLO = 'U') or lower triangular part (if UPLO = 'L') of
-C             this array must contain the upper triangular part or lower
-C             triangular part, respectively, of the symmetric matrix G.
-C             On exit, if JOB = 'X' and DICO = 'D', or JOB <> 'X' and
-C             LYAPUN = 'R', the leading N-by-N part of this array
-C             contains the symmetric matrix G fully stored.
-C             If JOB <> 'X' and LYAPUN = 'R', this array is modified
-C             internally, but restored on exit.
-C
-C     LDG     INTEGER
-C             The leading dimension of the array G.  LDG >= MAX(1,N).
-C
-C     Q       (input/output) DOUBLE PRECISION array, dimension (LDQ,N)
-C             On entry, the leading N-by-N upper triangular part (if
-C             UPLO = 'U') or lower triangular part (if UPLO = 'L') of
-C             this array must contain the upper triangular part or lower
-C             triangular part, respectively, of the symmetric matrix Q.
-C             On exit, if JOB = 'X' and DICO = 'D', or JOB <> 'X' and
-C             LYAPUN = 'R', the leading N-by-N part of this array
-C             contains the symmetric matrix Q fully stored.
-C             If JOB <> 'X' and LYAPUN = 'R', this array is modified
-C             internally, but restored on exit.
-C
-C     LDQ     INTEGER
-C             The leading dimension of the array Q.  LDQ >= MAX(1,N).
-C
-C     X       (input or output) DOUBLE PRECISION array, dimension
-C             (LDX,N)
-C             If JOB = 'C' or JOB = 'E', then X is an input argument
-C             and on entry, the leading N-by-N part of this array must
-C             contain the symmetric solution matrix of the algebraic
-C             Riccati equation. If LYAPUN = 'R', this array is modified
-C             internally, but restored on exit; however, it could differ
-C             from the input matrix at the round-off error level.
-C             If JOB = 'X' or JOB = 'A', then X is an output argument
-C             and on exit, if INFO = 0 or INFO >= 6, the leading N-by-N
-C             part of this array contains the symmetric solution matrix
-C             X of the algebraic Riccati equation.
-C
-C     LDX     INTEGER
-C             The leading dimension of the array X.  LDX >= MAX(1,N).
-C
-C     SEP     (output) DOUBLE PRECISION
-C             If JOB = 'C' or JOB = 'A', and INFO = 0 or INFO = 7, the
-C             estimated quantity
-C                sep(op(Ac),-op(Ac)'), if DICO = 'C', or
-C                sepd(op(Ac),op(Ac)'), if DICO = 'D'. (See METHOD.)
-C             If JOB = 'C' or JOB = 'A' and X = 0, or JOB = 'E', SEP is
-C             not referenced.
-C             If JOB = 'X', and INFO = 0, INFO = 5 or INFO = 7,
-C             SEP contains the scaling factor used, which should
-C             multiply the (2,1) submatrix of U to recover X from the
-C             first N columns of U (see METHOD). If SCAL = 'N', SEP is
-C             set to 1.
-C
-C     RCOND   (output) DOUBLE PRECISION
-C             If JOB = 'C' or JOB = 'A', and INFO = 0 or INFO = 7, an
-C             estimate of the reciprocal condition number of the
-C             algebraic Riccati equation.
-C             If N = 0 or X = 0, RCOND is set to 1 or 0, respectively.
-C             If JOB = 'X', or JOB = 'E', RCOND is not referenced.
-C
-C     FERR    (output) DOUBLE PRECISION
-C             If JOB = 'E' or JOB = 'A', and INFO = 0 or INFO = 7, an
-C             estimated forward error bound for the solution X. If XTRUE
-C             is the true solution, FERR bounds the magnitude of the
-C             largest entry in (X - XTRUE) divided by the magnitude of
-C             the largest entry in X.
-C             If N = 0 or X = 0, FERR is set to 0.
-C             If JOB = 'X', or JOB = 'C', FERR is not referenced.
-C
-C     WR      (output) DOUBLE PRECISION array, dimension (2*N)
-C     WI      (output) DOUBLE PRECISION array, dimension (2*N)
-C             If JOB = 'X' or JOB = 'A', and INFO = 0 or INFO >= 5,
-C             these arrays contain the real and imaginary parts,
-C             respectively, of the eigenvalues of the 2N-by-2N matrix S,
-C             ordered as specified by SORT (except for the case
-C             HINV = 'D', when the order is opposite to that specified
-C             by SORT). The leading N elements of these arrays contain
-C             the closed-loop spectrum of the system matrix Ac (see
-C             argument FACT). Specifically,
-C                lambda(k) = WR(k) + j*WI(k), for k = 1,2,...,N.
-C             If JOB = 'C' or JOB = 'E', these arrays are not
-C             referenced.
-C
-C     S       (output) DOUBLE PRECISION array, dimension (LDS,2*N)
-C             If JOB = 'X' or JOB = 'A', and INFO = 0 or INFO >= 5, the
-C             leading 2N-by-2N part of this array contains the ordered
-C             real Schur form S of the (scaled, if SCAL = 'G')
-C             Hamiltonian or symplectic matrix H. That is,
-C
-C                    ( S    S   )
-C                    (  11   12 )
-C                S = (          ),
-C                    ( 0    S   )
-C                    (       22 )
-C
-C             where S  , S   and S   are N-by-N matrices.
-C                    11   12      22
-C             If JOB = 'C' or JOB = 'E', this array is not referenced.
-C
-C     LDS     INTEGER
-C             The leading dimension of the array S.
-C             LDS >= MAX(1,2*N), if JOB = 'X' or JOB = 'A';
-C             LDS >= 1,          if JOB = 'C' or JOB = 'E'.
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension (LIWORK)
-C             LIWORK >= 2*N,          if JOB = 'X';
-C             LIWORK >= N*N,          if JOB = 'C' or JOB = 'E';
-C             LIWORK >= MAX(2*N,N*N), if JOB = 'A'.
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if INFO = 0, or INFO = 7, DWORK(1) returns the
-C             optimal value of LDWORK. If INFO = 0, or INFO >= 5, and
-C             JOB = 'X', or JOB = 'A', then DWORK(2) returns an estimate
-C             RCONDU of the reciprocal of the condition number (in the
-C             1-norm) of the N-th order system of algebraic equations
-C             from which the solution matrix X is obtained, and DWORK(3)
-C             returns the reciprocal pivot growth factor for the LU
-C             factorization of the coefficient matrix of that system
-C             (see SLICOT Library routine MB02PD); if DWORK(3) is much
-C             less than 1, then the computed X and RCONDU could be
-C             unreliable.
-C             If DICO = 'D', and JOB = 'X', or JOB = 'A', then DWORK(4)
-C             returns the reciprocal condition number RCONDA of the
-C             given matrix A, and DWORK(5) returns the reciprocal pivot
-C             growth factor for A or for its leading columns, if A is
-C             singular (see SLICOT Library routine MB02PD); if DWORK(5)
-C             is much less than 1, then the computed S and RCONDA could
-C             be unreliable.
-C             On exit, if INFO = 0, or INFO >= 4, and JOB = 'X', the
-C             elements DWORK(6:5+4*N*N) contain the 2*N-by-2*N
-C             transformation matrix  U  which reduced the Hamiltonian or
-C             symplectic matrix  H  to the ordered real Schur form  S.
-C
-C     LDWORK  INTEGER
-C             The length of the array DWORK.
-C             LDWORK >= 5+MAX(1,4*N*N+8*N), if JOB = 'X' or JOB = 'A';
-C             This may also be used for JOB = 'C' or JOB = 'E', but
-C             exact bounds are as follows:
-C             LDWORK >= 5 + MAX(1,LWS,LWE) + LWN, where
-C             LWS = 0,       if FACT = 'F' or  LYAPUN = 'R';
-C                 = 5*N,     if FACT = 'N' and LYAPUN = 'O' and
-C                                              DICO = 'C' and JOB = 'C';
-C                 = 5*N+N*N, if FACT = 'N' and LYAPUN = 'O' and
-C                                              DICO = 'C' and JOB = 'E';
-C                 = 5*N+N*N, if FACT = 'N' and LYAPUN = 'O' and
-C                                              DICO = 'D';
-C             LWE = 2*N*N,                if DICO = 'C' and JOB = 'C';
-C                 = 4*N*N,                if DICO = 'C' and JOB = 'E';
-C                 = MAX(3,2*N*N) + N*N,   if DICO = 'D' and JOB = 'C';
-C                 = MAX(3,2*N*N) + 2*N*N, if DICO = 'D' and JOB = 'E';
-C             LWN = 0,   if LYAPUN = 'O' or   JOB = 'C';
-C                 = 2*N, if LYAPUN = 'R' and DICO = 'C' and JOB = 'E';
-C                 = 3*N, if LYAPUN = 'R' and DICO = 'D' and JOB = 'E'.
-C             For optimum performance LDWORK should sometimes be larger.
-C
-C     BWORK   LOGICAL array, dimension (LBWORK)
-C             LBWORK >= 2*N,          if JOB = 'X' or JOB = 'A';
-C             LBWORK >= 1,            if JOB = 'C' or JOB = 'E', and
-C                                     FACT = 'N' and LYAPUN = 'R';
-C             LBWORK >= 0,            otherwise.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = 1:  if matrix A is (numerically) singular in discrete-
-C                   time case;
-C             = 2:  if the Hamiltonian or symplectic matrix H cannot be
-C                   reduced to real Schur form;
-C             = 3:  if the real Schur form of the Hamiltonian or
-C                   symplectic matrix H cannot be appropriately ordered;
-C             = 4:  if the Hamiltonian or symplectic matrix H has less
-C                   than N stable eigenvalues;
-C             = 5:  if the N-th order system of linear algebraic
-C                   equations, from which the solution matrix X would
-C                   be obtained, is singular to working precision;
-C             = 6:  if the QR algorithm failed to complete the reduction
-C                   of the matrix Ac to Schur canonical form, T;
-C             = 7:  if T and -T' have some almost equal eigenvalues, if
-C                   DICO = 'C', or T has almost reciprocal eigenvalues,
-C                   if DICO = 'D'; perturbed values were used to solve
-C                   Lyapunov equations, but the matrix T, if given (for
-C                   FACT = 'F'), is unchanged. (This is a warning
-C                   indicator.)
-C
-C     METHOD
-C
-C     The method used is the Schur vector approach proposed by Laub [1],
-C     but with an optional scaling, which enhances the numerical
-C     stability [6]. It is assumed that [A,B] is a stabilizable pair
-C     (where for (3) or (4), B is any matrix such that B*B' = G with
-C     rank(B) = rank(G)), and [E,A] is a detectable pair, where E is any
-C     matrix such that E*E' = Q with rank(E) = rank(Q). Under these
-C     assumptions, any of the algebraic Riccati equations (1)-(4) is
-C     known to have a unique non-negative definite solution. See [2].
-C     Now consider the 2N-by-2N Hamiltonian or symplectic matrix
-C
-C                 ( op(A)   -G    )
-C            H =  (               ),                                 (5)
-C                 (  -Q   -op(A)' ),
-C
-C     for continuous-time equation, and
-C                         -1              -1
-C                 (  op(A)           op(A)  *G       )
-C            H =  (        -1                   -1   ),              (6)
-C                 ( Q*op(A)     op(A)' + Q*op(A)  *G )
-C
-C     for discrete-time equation, respectively, where
-C                       -1
-C            G = op(B)*R  *op(B)'.
-C     The assumptions guarantee that H in (5) has no pure imaginary
-C     eigenvalues, and H in (6) has no eigenvalues on the unit circle.
-C     If Y is an N-by-N matrix then there exists an orthogonal matrix U
-C     such that U'*Y*U is an upper quasi-triangular matrix. Moreover, U
-C     can be chosen so that the 2-by-2 and 1-by-1 diagonal blocks
-C     (corresponding to the complex conjugate eigenvalues and real
-C     eigenvalues respectively) appear in any desired order. This is the
-C     ordered real Schur form. Thus, we can find an orthogonal
-C     similarity transformation U which puts (5) or (6) in ordered real
-C     Schur form
-C
-C            U'*H*U = S = (S(1,1)  S(1,2))
-C                         (  0     S(2,2))
-C
-C     where S(i,j) is an N-by-N matrix and the eigenvalues of S(1,1)
-C     have negative real parts in case of (5), or moduli greater than
-C     one in case of (6). If U is conformably partitioned into four
-C     N-by-N blocks
-C
-C               U = (U(1,1)  U(1,2))
-C                   (U(2,1)  U(2,2))
-C
-C     with respect to the assumptions we then have
-C     (a) U(1,1) is invertible and X = U(2,1)*inv(U(1,1)) solves (1),
-C         (2), (3), or (4) with X = X' and non-negative definite;
-C     (b) the eigenvalues of S(1,1) (if DICO = 'C') or S(2,2) (if
-C         DICO = 'D') are equal to the eigenvalues of optimal system
-C         (the 'closed-loop' spectrum).
-C
-C     [A,B] is stabilizable if there exists a matrix F such that (A-BF)
-C     is stable. [E,A] is detectable if [A',E'] is stabilizable.
-C
-C     The condition number of a Riccati equation is estimated as
-C
-C     cond = ( norm(Theta)*norm(A) + norm(inv(Omega))*norm(Q) +
-C                 norm(Pi)*norm(G) ) / norm(X),
-C
-C     where Omega, Theta and Pi are linear operators defined by
-C
-C     Omega(W) = op(Ac)'*W + W*op(Ac),
-C     Theta(W) = inv(Omega(op(W)'*X + X*op(W))),
-C        Pi(W) = inv(Omega(X*W*X)),
-C
-C     in the continuous-time case, and
-C
-C     Omega(W) = op(Ac)'*W*op(Ac) - W,
-C     Theta(W) = inv(Omega(op(W)'*X*op(Ac) + op(Ac)'X*op(W))),
-C        Pi(W) = inv(Omega(op(Ac)'*X*W*X*op(Ac))),
-C
-C     in the discrete-time case, and Ac has been defined (see argument
-C     FACT). Details are given in the comments of SLICOT Library
-C     routines SB02QD and SB02SD.
-C
-C     The routine estimates the quantities
-C
-C     sep(op(Ac),-op(Ac)') = 1 / norm(inv(Omega)),
-C     sepd(op(Ac),op(Ac)') = 1 / norm(inv(Omega)),
-C
-C     norm(Theta) and norm(Pi) using 1-norm condition estimator.
-C
-C     The forward error bound is estimated using a practical error bound
-C     similar to the one proposed in [5].
-C
-C     REFERENCES
-C
-C     [1] Laub, A.J.
-C         A Schur Method for Solving Algebraic Riccati equations.
-C         IEEE Trans. Auto. Contr., AC-24, pp. 913-921, 1979.
-C
-C     [2] Wonham, W.M.
-C         On a matrix Riccati equation of stochastic control.
-C         SIAM J. Contr., 6, pp. 681-697, 1968.
-C
-C     [3] Sima, V.
-C         Algorithms for Linear-Quadratic Optimization.
-C         Pure and Applied Mathematics: A Series of Monographs and
-C         Textbooks, vol. 200, Marcel Dekker, Inc., New York, 1996.
-C
-C     [4] Ghavimi, A.R. and Laub, A.J.
-C         Backward error, sensitivity, and refinement of computed
-C         solutions of algebraic Riccati equations.
-C         Numerical Linear Algebra with Applications, vol. 2, pp. 29-49,
-C         1995.
-C
-C     [5] Higham, N.J.
-C         Perturbation theory and backward error for AX-XB=C.
-C         BIT, vol. 33, pp. 124-136, 1993.
-C
-C     [6] Petkov, P.Hr., Konstantinov, M.M., and Mehrmann, V.
-C         DGRSVX and DMSRIC: Fortran 77 subroutines for solving
-C         continuous-time matrix algebraic Riccati equations with
-C         condition and accuracy estimates.
-C         Preprint SFB393/98-16, Fak. f. Mathematik, Tech. Univ.
-C         Chemnitz, May 1998.
-C
-C     NUMERICAL ASPECTS
-C                               3
-C     The algorithm requires 0(N ) operations. The solution accuracy
-C     can be controlled by the output parameter FERR.
-C
-C     FURTHER COMMENTS
-C
-C     To obtain a stabilizing solution of the algebraic Riccati
-C     equation for DICO = 'D', set SORT = 'U', if HINV = 'D', or set
-C     SORT = 'S', if HINV = 'I'.
-C
-C     The routine can also compute the anti-stabilizing solutions of
-C     the algebraic Riccati equations, by specifying
-C         SORT = 'U' if DICO = 'D' and HINV = 'I', or DICO = 'C', or
-C         SORT = 'S' if DICO = 'D' and HINV = 'D'.
-C
-C     Usually, the combinations HINV = 'D' and SORT = 'U', or HINV = 'I'
-C     and SORT = 'U', for stabilizing and anti-stabilizing solutions,
-C     respectively, will be faster then the other combinations [3].
-C
-C     The option LYAPUN = 'R' may produce slightly worse or better
-C     estimates, and it is faster than the option 'O'.
-C
-C     This routine is a functionally extended and more accurate
-C     version of the SLICOT Library routine SB02MD. Transposed problems
-C     can be dealt with as well. Iterative refinement is used whenever
-C     useful to solve linear algebraic systems. Condition numbers and
-C     error bounds on the solutions are optionally provided.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Apr. 1999.
-C
-C     REVISIONS
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Oct. 2001,
-C     Dec. 2002, Oct. 2004.
-C
-C     KEYWORDS
-C
-C     Algebraic Riccati equation, closed loop system, continuous-time
-C     system, discrete-time system, optimal regulator, Schur form.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION  ZERO, HALF, ONE
-      PARAMETER         ( ZERO = 0.0D0, HALF = 0.5D0, ONE = 1.0D0 )
-C     .. Scalar Arguments ..
-      CHARACTER         DICO, FACT, HINV, JOB, LYAPUN, SCAL, SORT,
-     $                  TRANA, UPLO
-      INTEGER           INFO, LDA, LDG, LDQ, LDS, LDT, LDV, LDWORK, LDX,
-     $                  N
-      DOUBLE PRECISION  FERR, RCOND, SEP
-C     .. Array Arguments ..
-      LOGICAL           BWORK(*)
-      INTEGER           IWORK(*)
-      DOUBLE PRECISION  A(LDA,*), DWORK(*), G(LDG,*), Q(LDQ,*),
-     $                  S(LDS,*), T(LDT,*), V(LDV,*), WI(*), WR(*),
-     $                  X(LDX,*)
-C     .. Local Scalars ..
-      LOGICAL           COLEQU, DISCR, JBXA, JOBA, JOBC, JOBE, JOBX,
-     $                  LHINV, LSCAL, LSCL, LSORT, LUPLO, NOFACT,
-     $                  NOTRNA, ROWEQU, UPDATE
-      CHARACTER         EQUED, JOBS, LOFACT, LOUP, TRANAT
-      INTEGER           I, IERR, IU, IW, IWB, IWC, IWF, IWI, IWR, LDW,
-     $                  LWE, LWN, LWS, N2, NN, NP1, NROT
-      DOUBLE PRECISION  GNORM, QNORM, PIVOTA, PIVOTU, RCONDA, RCONDU,
-     $                  WRKOPT
-C     .. External Functions ..
-      LOGICAL           LSAME, SB02MR, SB02MS, SB02MV, SB02MW
-      DOUBLE PRECISION  DLAMCH, DLANGE, DLANSY
-      EXTERNAL          DLAMCH, DLANGE, DLANSY, LSAME, SB02MR, SB02MS,
-     $                  SB02MV, SB02MW
-C     .. External Subroutines ..
-      EXTERNAL          DAXPY, DCOPY, DGEES, DGESV, DLACPY, DLASCL,
-     $                  DLASET, DSCAL, DSWAP, DSYMM, MA02AD, MA02ED,
-     $                  MB01RU, MB01SD, MB02PD, SB02QD, SB02RU, SB02SD,
-     $                  XERBLA
-C     .. Intrinsic Functions ..
-      INTRINSIC         DBLE, MAX
-C     .. Executable Statements ..
-C
-C     Decode the input parameters.
-C
-      N2  = N + N
-      NN  = N*N
-      NP1 = N + 1
-      INFO = 0
-      JOBA   = LSAME( JOB,    'A' )
-      JOBC   = LSAME( JOB,    'C' )
-      JOBE   = LSAME( JOB,    'E' )
-      JOBX   = LSAME( JOB,    'X' )
-      NOFACT = LSAME( FACT,   'N' )
-      NOTRNA = LSAME( TRANA,  'N' )
-      DISCR  = LSAME( DICO,   'D' )
-      LUPLO  = LSAME( UPLO,   'U' )
-      LSCAL  = LSAME( SCAL,   'G' )
-      LSORT  = LSAME( SORT,   'S' )
-      UPDATE = LSAME( LYAPUN, 'O' )
-      JBXA   = JOBX .OR. JOBA
-      LHINV  = .FALSE.
-      IF ( DISCR .AND. JBXA )
-     $   LHINV = LSAME( HINV, 'D' )
-C
-C     Test the input scalar arguments.
-C
-      IF( .NOT.( JBXA .OR. JOBC .OR. JOBE ) ) THEN
-         INFO = -1
-      ELSE IF( .NOT.( DISCR .OR. LSAME( DICO, 'C' ) ) ) THEN
-         INFO = -2
-      ELSE IF( DISCR .AND. JBXA ) THEN
-         IF( .NOT.( LHINV .OR. LSAME( HINV, 'I' ) ) )
-     $      INFO = -3
-      END IF
-      IF( INFO.EQ.0 ) THEN
-         IF( .NOT.( NOTRNA .OR. LSAME( TRANA, 'T' ) .OR.
-     $                          LSAME( TRANA, 'C' ) ) ) THEN
-            INFO = -4
-         ELSE IF( .NOT.( LUPLO .OR. LSAME( UPLO, 'L' ) ) )
-     $      THEN
-            INFO = -5
-         ELSE IF( JBXA ) THEN
-            IF( .NOT.( LSCAL .OR. LSAME( SCAL, 'N' ) ) ) THEN
-               INFO = -6
-            ELSE IF( .NOT.( LSORT .OR. LSAME( SORT, 'U' ) ) ) THEN
-               INFO = -7
-            END IF
-         END IF
-         IF( INFO.EQ.0 .AND. .NOT.JOBX ) THEN
-            IF( .NOT.( NOFACT .OR. LSAME( FACT, 'F' ) ) ) THEN
-               INFO = -8
-            ELSE IF( .NOT.( UPDATE .OR. LSAME( LYAPUN, 'R' ) ) ) THEN
-               INFO = -9
-            END IF
-         END IF
-         IF( INFO.EQ.0 ) THEN
-            IF( N.LT.0 ) THEN
-               INFO = -10
-            ELSE IF( LDA.LT.1 .OR. ( ( JBXA .OR. NOFACT .OR. UPDATE )
-     $         .AND. LDA.LT.N ) ) THEN
-               INFO = -12
-            ELSE IF( LDT.LT.1 .OR. ( .NOT. JOBX .AND. LDT.LT.N ) ) THEN
-               INFO = -14
-            ELSE IF( LDV.LT.1 .OR. ( .NOT. JOBX .AND. LDV.LT.N ) ) THEN
-               INFO = -16
-            ELSE IF( LDG.LT.MAX( 1, N ) ) THEN
-               INFO = -18
-            ELSE IF( LDQ.LT.MAX( 1, N ) ) THEN
-               INFO = -20
-            ELSE IF( LDX.LT.MAX( 1, N ) ) THEN
-               INFO = -22
-            ELSE IF( LDS.LT.1 .OR. ( JBXA .AND. LDS.LT.N2 ) ) THEN
-               INFO = -29
-            ELSE
-               IF( JBXA ) THEN
-                  IF( LDWORK.LT.5 + MAX( 1, 4*NN + 8*N ) )
-     $               INFO = -32
-               ELSE
-                  IF( NOFACT .AND. UPDATE ) THEN
-                     IF( .NOT.DISCR .AND. JOBC ) THEN
-                        LWS = 5*N
-                     ELSE
-                        LWS = 5*N + NN
-                     END IF
-                  ELSE
-                     LWS = 0
-                  END IF
-                  IF( DISCR ) THEN
-                     IF( JOBC ) THEN
-                        LWE = MAX( 3, 2*NN) + NN
-                     ELSE
-                        LWE = MAX( 3, 2*NN) + 2*NN
-                     END IF
-                  ELSE
-                     IF( JOBC ) THEN
-                        LWE = 2*NN
-                     ELSE
-                        LWE = 4*NN
-                     END IF
-                  END IF
-                  IF( UPDATE .OR. JOBC ) THEN
-                     LWN = 0
-                  ELSE
-                     IF( DISCR ) THEN
-                        LWN = 3*N
-                     ELSE
-                        LWN = 2*N
-                     END IF
-                  END IF
-                  IF( LDWORK.LT.5 + MAX( 1, LWS, LWE ) + LWN )
-     $               INFO = -32
-               END IF
-            END IF
-         END IF
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'SB02RD', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF ( N.EQ.0 ) THEN
-         IF( JOBX )
-     $      SEP = ONE
-         IF( JOBC .OR. JOBA )
-     $      RCOND = ONE
-         IF( JOBE .OR. JOBA )
-     $      FERR  = ZERO
-         DWORK(1) = ONE
-         DWORK(2) = ONE
-         DWORK(3) = ONE
-         IF ( DISCR ) THEN
-            DWORK(4) = ONE
-            DWORK(5) = ONE
-         END IF
-         RETURN
-      END IF
-C
-      IF ( JBXA ) THEN
-C
-C        Compute the solution matrix X.
-C
-C        Initialise the Hamiltonian or symplectic matrix associated with
-C        the problem.
-C        Workspace:  need   0    if DICO = 'C';
-C                           6*N, if DICO = 'D'.
-C
-         CALL SB02RU( DICO, HINV, TRANA, UPLO, N, A, LDA, G, LDG, Q,
-     $                LDQ, S, LDS, IWORK, DWORK, LDWORK, IERR )
-C
-         IF ( IERR.NE.0 ) THEN
-            INFO = 1
-            IF ( DISCR ) THEN
-               DWORK(4) = DWORK(1)
-               DWORK(5) = DWORK(2)
-            END IF
-            RETURN
-         END IF
-C
-         IF ( DISCR ) THEN
-            WRKOPT = 6*N
-            RCONDA = DWORK(1)
-            PIVOTA = DWORK(2)
-         ELSE
-            WRKOPT = 0
-         END IF
-C
-         IF ( LSCAL ) THEN
-C
-C           Scale the Hamiltonian or symplectic matrix S, using the
-C           square roots of the norms of the matrices Q and G.
-C
-            QNORM = SQRT( DLANSY( '1-norm', UPLO, N, Q, LDQ, DWORK ) )
-            GNORM = SQRT( DLANSY( '1-norm', UPLO, N, G, LDG, DWORK ) )
-C
-            LSCL = QNORM.GT.GNORM .AND. GNORM.GT.ZERO
-            IF( LSCL ) THEN
-               CALL DLASCL( 'G', 0, 0, QNORM, GNORM, N, N, S(NP1,1),
-     $                      LDS, IERR )
-               CALL DLASCL( 'G', 0, 0, GNORM, QNORM, N, N, S(1,NP1),
-     $                      LDS, IERR )
-            END IF
-         ELSE
-            LSCL = .FALSE.
-         END IF
-C
-C        Find the ordered Schur factorization of S,  S = U*H*U'.
-C        Workspace:  need   5 + 4*N*N + 6*N;
-C                    prefer larger.
-C
-         IU  = 6
-         IW  = IU + 4*NN
-         LDW = LDWORK - IW + 1
-         IF ( .NOT.DISCR ) THEN
-            IF ( LSORT ) THEN
-               CALL DGEES( 'Vectors', 'Sorted', SB02MV, N2, S, LDS,
-     $                     NROT, WR, WI, DWORK(IU), N2, DWORK(IW), LDW,
-     $                     BWORK, IERR )
-            ELSE
-               CALL DGEES( 'Vectors', 'Sorted', SB02MR, N2, S, LDS,
-     $                     NROT, WR, WI, DWORK(IU), N2, DWORK(IW), LDW,
-     $                     BWORK, IERR )
-            END IF
-         ELSE
-            IF ( LSORT ) THEN
-               CALL DGEES( 'Vectors', 'Sorted', SB02MW, N2, S, LDS,
-     $                     NROT, WR, WI, DWORK(IU), N2, DWORK(IW), LDW,
-     $                     BWORK, IERR )
-            ELSE
-               CALL DGEES( 'Vectors', 'Sorted', SB02MS, N2, S, LDS,
-     $                     NROT, WR, WI, DWORK(IU), N2, DWORK(IW), LDW,
-     $                     BWORK, IERR )
-            END IF
-            IF ( LHINV ) THEN
-               CALL DSWAP( N, WR, 1, WR(NP1), 1 )
-               CALL DSWAP( N, WI, 1, WI(NP1), 1 )
-            END IF
-         END IF
-         IF ( IERR.GT.N2 ) THEN
-            INFO = 3
-         ELSE IF ( IERR.GT.0 ) THEN
-            INFO = 2
-         ELSE IF ( NROT.NE.N ) THEN
-            INFO = 4
-         END IF
-         IF ( INFO.NE.0 ) THEN
-            IF ( DISCR ) THEN
-               DWORK(4) = RCONDA
-               DWORK(5) = PIVOTA
-            END IF
-            RETURN
-         END IF
-C
-         WRKOPT = MAX( WRKOPT, DWORK(IW) + DBLE( IW - 1 ) )
-C
-C        Compute the solution of X*U(1,1) = U(2,1) using
-C        LU factorization and iterative refinement. The (2,1) block of S
-C        is used as a workspace for factoring U(1,1).
-C        Workspace:  need   5 + 4*N*N + 8*N.
-C
-C        First transpose U(2,1) in-situ.
-C
-         DO 20 I = 1, N - 1
-            CALL DSWAP( N-I, DWORK(IU+N+I*(N2+1)-1), N2,
-     $                  DWORK(IU+N+(I-1)*(N2+1)+1), 1 )
-   20    CONTINUE
-C
-         IWR = IW
-         IWC = IWR + N
-         IWF = IWC + N
-         IWB = IWF + N
-         IW  = IWB + N
-C
-         CALL MB02PD( 'Equilibrate', 'Transpose', N, N, DWORK(IU), N2,
-     $                S(NP1,1), LDS, IWORK, EQUED, DWORK(IWR),
-     $                DWORK(IWC), DWORK(IU+N), N2, X, LDX, RCONDU,
-     $                DWORK(IWF), DWORK(IWB), IWORK(NP1), DWORK(IW),
-     $                IERR )
-         IF( JOBX ) THEN
-C
-C           Restore U(2,1) back in-situ.
-C
-            DO 40 I = 1, N - 1
-               CALL DSWAP( N-I, DWORK(IU+N+I*(N2+1)-1), N2,
-     $                     DWORK(IU+N+(I-1)*(N2+1)+1), 1 )
-   40       CONTINUE
-C
-            IF( .NOT.LSAME( EQUED, 'N' ) ) THEN
-C
-C              Undo the equilibration of U(1,1) and U(2,1).
-C
-               ROWEQU = LSAME( EQUED, 'R' ) .OR. LSAME( EQUED, 'B' )
-               COLEQU = LSAME( EQUED, 'C' ) .OR. LSAME( EQUED, 'B' )
-C
-               IF( ROWEQU ) THEN
-C
-                  DO 60 I = 1, N
-                     DWORK(IWR+I-1) = ONE / DWORK(IWR+I-1)
-   60             CONTINUE
-C
-                  CALL MB01SD( 'Row scaling', N, N, DWORK(IU), N2,
-     $                         DWORK(IWR), DWORK(IWC) )
-               END IF
-C
-               IF( COLEQU ) THEN
-C
-                  DO 80 I = 1, N
-                     DWORK(IWC+I-1) = ONE / DWORK(IWC+I-1)
-   80             CONTINUE
-C
-                  CALL MB01SD( 'Column scaling', N, N, DWORK(IU), N2,
-     $                         DWORK(IWR), DWORK(IWC) )
-                  CALL MB01SD( 'Column scaling', N, N, DWORK(IU+N), N2,
-     $                         DWORK(IWR), DWORK(IWC) )
-               END IF
-            END IF
-C
-C           Set S(2,1) to zero.
-C
-            CALL DLASET( 'Full', N, N, ZERO, ZERO, S(NP1,1), LDS )
-         END IF
-C
-         PIVOTU = DWORK(IW)
-C
-         IF ( IERR.GT.0 ) THEN
-C
-C           Singular matrix. Set INFO and DWORK for error return.
-C
-            INFO = 5
-            GO TO 160
-         END IF
-C
-C        Make sure the solution matrix X is symmetric.
-C
-         DO 100 I = 1, N - 1
-            CALL DAXPY( N-I, ONE, X(I,I+1), LDX, X(I+1,I), 1 )
-            CALL DSCAL( N-I, HALF, X(I+1,I), 1 )
-            CALL DCOPY( N-I, X(I+1,I), 1, X(I,I+1), LDX )
-  100    CONTINUE
-C
-         IF( LSCAL ) THEN
-C
-C           Undo scaling for the solution matrix.
-C
-            IF( LSCL )
-     $         CALL DLASCL( 'G', 0, 0, GNORM, QNORM, N, N, X, LDX,
-     $                      IERR )
-         END IF
-      END IF
-C
-      IF ( .NOT.JOBX ) THEN
-         IF ( .NOT.JOBA )
-     $      WRKOPT = 0
-C
-C        Estimate the conditioning and compute an error bound on the
-C        solution of the algebraic Riccati equation.
-C
-         IW = 6
-         LOFACT = FACT
-         IF ( NOFACT .AND. .NOT.UPDATE ) THEN
-C
-C           Compute Ac and its Schur factorization.
-C
-            IF ( DISCR ) THEN
-               CALL DLASET( 'Full', N, N, ZERO, ONE, DWORK(IW), N )
-               CALL DSYMM(  'Left', UPLO, N, N, ONE, G, LDG, X, LDX,
-     $                      ONE, DWORK(IW), N )
-               IF ( NOTRNA ) THEN
-C
-C                 Compute Ac = inv(I_n + G*X)*A.
-C
-                  CALL DLACPY( 'Full', N, N, A, LDA, T, LDT )
-                  CALL DGESV( N, N, DWORK(IW), N, IWORK, T, LDT, IERR )
-               ELSE
-C
-C                 Compute Ac = A*inv(I_n + X*G).
-C
-                  CALL MA02AD( 'Full', N, N, A, LDA, T, LDT )
-                  CALL DGESV( N, N, DWORK(IW), N, IWORK, T, LDT, IERR )
-                  DO 120 I = 2, N
-                     CALL DSWAP( I-1, T(1,I), 1, T(I,1), LDT )
-  120             CONTINUE
-               END IF
-C
-            ELSE
-C
-               CALL DLACPY( 'Full', N, N, A, LDA, T, LDT )
-               IF ( NOTRNA ) THEN
-C
-C                 Compute Ac = A - G*X.
-C
-                  CALL DSYMM( 'Left', UPLO, N, N, -ONE, G, LDG, X, LDX,
-     $                        ONE, T, LDT )
-               ELSE
-C
-C                 Compute Ac = A - X*G.
-C
-                  CALL DSYMM( 'Right', UPLO, N, N, -ONE, G, LDG, X, LDX,
-     $                        ONE, T, LDT )
-               END IF
-            END IF
-C
-C           Compute the Schur factorization of Ac, Ac = V*T*V'.
-C           Workspace:  need   5 + 5*N.
-C                       prefer larger.
-C
-            IWR = IW
-            IWI = IWR + N
-            IW  = IWI + N
-            LDW = LDWORK - IW + 1
-C
-            CALL DGEES( 'Vectors', 'Not ordered', SB02MS, N, T, LDT,
-     $                  NROT, DWORK(IWR), DWORK(IWI), V, LDV, DWORK(IW),
-     $                  LDW, BWORK, IERR )
-C
-            IF( IERR.NE.0 ) THEN
-               INFO = 6
-               GO TO 160
-            END IF
-C
-            WRKOPT = MAX( WRKOPT, DWORK(IW) + DBLE( IW - 1 ) )
-            LOFACT = 'F'
-            IW = 6
-         END IF
-C
-         IF ( .NOT.UPDATE ) THEN
-C
-C           Update G, Q, and X using the orthogonal matrix V.
-C
-            TRANAT = 'T'
-C
-C           Save the diagonal elements of G and Q.
-C
-            CALL DCOPY( N, G, LDG+1, DWORK(IW), 1 )
-            CALL DCOPY( N, Q, LDQ+1, DWORK(IW+N), 1 )
-            IW = IW + N2
-C
-            IF ( JOBA )
-     $         CALL DLACPY( 'Full', N, N, X, LDX, S(NP1,1), LDS )
-            CALL MB01RU( UPLO, TRANAT, N, N, ZERO, ONE, X, LDX, V, LDV,
-     $                   X, LDX, DWORK(IW), NN, IERR )
-            CALL DSCAL( N, HALF, X, LDX+1 )
-            CALL MA02ED( UPLO, N, X, LDX )
-            IF( .NOT.DISCR ) THEN
-               CALL MA02ED( UPLO, N, G, LDG )
-               CALL MA02ED( UPLO, N, Q, LDQ )
-            END IF
-            CALL MB01RU( UPLO, TRANAT, N, N, ZERO, ONE, G, LDG, V, LDV,
-     $                   G, LDG, DWORK(IW), NN, IERR )
-            CALL DSCAL( N, HALF, G, LDG+1 )
-            CALL MB01RU( UPLO, TRANAT, N, N, ZERO, ONE, Q, LDQ, V, LDV,
-     $                   Q, LDQ, DWORK(IW), NN, IERR )
-            CALL DSCAL( N, HALF, Q, LDQ+1 )
-         END IF
-C
-C        Estimate the conditioning and/or the error bound.
-C        Workspace: 5 + MAX(1,LWS,LWE) + LWN, where
-C
-C           LWS = 0,       if FACT = 'F' or  LYAPUN = 'R';
-C               = 5*N,     if FACT = 'N' and LYAPUN = 'O' and DICO = 'C'
-C                                                         and JOB = 'C';
-C               = 5*N+N*N, if FACT = 'N' and LYAPUN = 'O' and DICO = 'C'
-C                                          and (JOB = 'E' or JOB = 'A');
-C               = 5*N+N*N, if FACT = 'N' and LYAPUN = 'O' and
-C                                                         DICO = 'D';
-C           LWE = 2*N*N,                if DICO = 'C' and  JOB = 'C';
-C               = 4*N*N,                if DICO = 'C' and (JOB = 'E' or
-C                                                          JOB = 'A');
-C               = MAX(3,2*N*N) + N*N,   if DICO = 'D' and  JOB = 'C';
-C               = MAX(3,2*N*N) + 2*N*N, if DICO = 'D' and (JOB = 'E' or
-C                                                          JOB = 'A');
-C           LWN = 0,   if LYAPUN = 'O' or   JOB = 'C';
-C               = 2*N, if LYAPUN = 'R' and DICO = 'C' and (JOB = 'E' or
-C                                                          JOB = 'A');
-C               = 3*N, if LYAPUN = 'R' and DICO = 'D' and (JOB = 'E' or
-C                                                          JOB = 'A').
-C
-         LDW = LDWORK - IW + 1
-         IF ( JOBA ) THEN
-            JOBS = 'B'
-         ELSE
-            JOBS = JOB
-         END IF
-C
-         IF ( DISCR ) THEN
-            CALL SB02SD( JOBS, LOFACT, TRANA, UPLO, LYAPUN, N, A, LDA,
-     $                   T, LDT, V, LDV, G, LDG, Q, LDQ, X, LDX, SEP,
-     $                   RCOND, FERR, IWORK, DWORK(IW), LDW, IERR )
-         ELSE
-            CALL SB02QD( JOBS, LOFACT, TRANA, UPLO, LYAPUN, N, A, LDA,
-     $                   T, LDT, V, LDV, G, LDG, Q, LDQ, X, LDX, SEP,
-     $                   RCOND, FERR, IWORK, DWORK(IW), LDW, IERR )
-         END IF
-C
-         WRKOPT = MAX( WRKOPT, DWORK(IW) + DBLE( IW - 1 ) )
-         IF( IERR.EQ.NP1 ) THEN
-            INFO = 7
-         ELSE IF( IERR.GT.0 ) THEN
-            INFO = 6
-            GO TO 160
-         END IF
-C
-         IF ( .NOT.UPDATE ) THEN
-C
-C           Restore X, G, and Q and set S(2,1) to zero, if needed.
-C
-            IF ( JOBA ) THEN
-               CALL DLACPY( 'Full', N, N, S(NP1,1), LDS, X, LDX )
-               CALL DLASET( 'Full', N, N, ZERO, ZERO, S(NP1,1), LDS )
-            ELSE
-               CALL MB01RU( UPLO, TRANA, N, N, ZERO, ONE, X, LDX, V,
-     $                      LDV, X, LDX, DWORK(IW), NN, IERR )
-               CALL DSCAL( N, HALF, X, LDX+1 )
-               CALL MA02ED( UPLO, N, X, LDX )
-            END IF
-            IF ( LUPLO ) THEN
-               LOUP = 'L'
-            ELSE
-               LOUP = 'U'
-            END IF
-C
-            IW = 6
-            CALL DCOPY( N, DWORK(IW), 1, G, LDG+1 )
-            CALL MA02ED( LOUP, N, G, LDG )
-            CALL DCOPY( N, DWORK(IW+N), 1, Q, LDQ+1 )
-            CALL MA02ED( LOUP, N, Q, LDQ )
-         END IF
-C
-      END IF
-C
-C     Set the optimal workspace and other details.
-C
-      DWORK(1) = WRKOPT
-  160 CONTINUE
-      IF( JBXA ) THEN
-         DWORK(2) = RCONDU
-         DWORK(3) = PIVOTU
-         IF ( DISCR ) THEN
-            DWORK(4) = RCONDA
-            DWORK(5) = PIVOTA
-         END IF
-         IF( JOBX ) THEN
-            IF ( LSCL ) THEN
-               SEP = QNORM / GNORM
-            ELSE
-               SEP = ONE
-            END IF
-         END IF
-      END IF
-C
-      RETURN
-C *** Last line of SB02RD ***
-      END
--- a/extra/control-devel/devel/dksyn/SB02RU.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,508 +0,0 @@
-      SUBROUTINE SB02RU( DICO, HINV, TRANA, UPLO, N, A, LDA, G, LDG, Q,
-     $                   LDQ, S, LDS, IWORK, DWORK, LDWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To construct the 2n-by-2n Hamiltonian or symplectic matrix S
-C     associated to the linear-quadratic optimization problem, used to
-C     solve the continuous- or discrete-time algebraic Riccati equation,
-C     respectively.
-C
-C     For a continuous-time problem, S is defined by
-C
-C             ( op(A)   -G    )
-C         S = (               ),                                     (1)
-C             (  -Q   -op(A)' )
-C
-C     and for a discrete-time problem by
-C
-C                     -1              -1
-C             (  op(A)           op(A)  *G       )
-C         S = (        -1                   -1   ),                  (2)
-C             ( Q*op(A)     op(A)' + Q*op(A)  *G )
-C
-C     or
-C                              -T             -T
-C             ( op(A) + G*op(A)  *Q   -G*op(A)   )
-C         S = (           -T                 -T  ),                  (3)
-C             (     -op(A)  *Q          op(A)    )
-C
-C     where op(A) = A or A' (A**T), A, G, and Q are n-by-n matrices,
-C     with G and Q symmetric. Matrix A must be nonsingular in the
-C     discrete-time case.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     DICO    CHARACTER*1
-C             Specifies the type of the system as follows:
-C             = 'C':  Continuous-time system;
-C             = 'D':  Discrete-time system.
-C
-C     HINV    CHARACTER*1
-C             If DICO = 'D', specifies which of the matrices (2) or (3)
-C             is constructed, as follows:
-C             = 'D':  The matrix S in (2) is constructed;
-C             = 'I':  The (inverse) matrix S in (3) is constructed.
-C             HINV is not referenced if DICO = 'C'.
-C
-C     TRANA   CHARACTER*1
-C             Specifies the form of op(A) to be used, as follows:
-C             = 'N':  op(A) = A    (No transpose);
-C             = 'T':  op(A) = A**T (Transpose);
-C             = 'C':  op(A) = A**T (Conjugate transpose = Transpose).
-C
-C     UPLO    CHARACTER*1
-C             Specifies which triangle of the matrices G and Q is
-C             stored, as follows:
-C             = 'U':  Upper triangle is stored;
-C             = 'L':  Lower triangle is stored.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the matrices A, G, and Q.  N >= 0.
-C
-C     A       (input) DOUBLE PRECISION array, dimension (LDA,N)
-C             The leading N-by-N part of this array must contain the
-C             matrix A.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.  LDA >= MAX(1,N).
-C
-C     G       (input/output) DOUBLE PRECISION array, dimension (LDG,N)
-C             On entry, the leading N-by-N upper triangular part (if
-C             UPLO = 'U') or lower triangular part (if UPLO = 'L') of
-C             this array must contain the upper triangular part or lower
-C             triangular part, respectively, of the symmetric matrix G.
-C             On exit, if DICO = 'D', the leading N-by-N part of this
-C             array contains the symmetric matrix G fully stored.
-C             If DICO = 'C', this array is not modified on exit, and the
-C             strictly lower triangular part (if UPLO = 'U') or strictly
-C             upper triangular part (if UPLO = 'L') is not referenced.
-C
-C     LDG     INTEGER
-C             The leading dimension of the array G.  LDG >= MAX(1,N).
-C
-C     Q       (input/output) DOUBLE PRECISION array, dimension (LDQ,N)
-C             On entry, the leading N-by-N upper triangular part (if
-C             UPLO = 'U') or lower triangular part (if UPLO = 'L') of
-C             this array must contain the upper triangular part or lower
-C             triangular part, respectively, of the symmetric matrix Q.
-C             On exit, if DICO = 'D', the leading N-by-N part of this
-C             array contains the symmetric matrix Q fully stored.
-C             If DICO = 'C', this array is not modified on exit, and the
-C             strictly lower triangular part (if UPLO = 'U') or strictly
-C             upper triangular part (if UPLO = 'L') is not referenced.
-C
-C     LDQ     INTEGER
-C             The leading dimension of the array Q.  LDQ >= MAX(1,N).
-C
-C     S       (output) DOUBLE PRECISION array, dimension (LDS,2*N)
-C             If INFO = 0, the leading 2N-by-2N part of this array
-C             contains the Hamiltonian or symplectic matrix of the
-C             problem.
-C
-C     LDS     INTEGER
-C             The leading dimension of the array S.  LDS >= MAX(1,2*N).
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension (LIWORK), where
-C             LIWORK >= 0,   if DICO = 'C';
-C             LIWORK >= 2*N, if DICO = 'D'.
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if DICO = 'D', DWORK(1) returns the reciprocal
-C             condition number  RCOND  of the given matrix  A,  and
-C             DWORK(2) returns the reciprocal pivot growth factor
-C             norm(A)/norm(U) (see SLICOT Library routine MB02PD).
-C             If DWORK(2) is much less than 1, then the computed  S
-C             and  RCOND  could be unreliable. If 0 < INFO <= N, then
-C             DWORK(2) contains the reciprocal pivot growth factor for
-C             the leading INFO columns of  A.
-C
-C     LDWORK  INTEGER
-C             The length of the array DWORK.
-C             LDWORK >= 0,          if DICO = 'C';
-C             LDWORK >= MAX(2,6*N), if DICO = 'D'.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = i:  if the leading i-by-i (1 <= i <= N) upper triangular
-C                   submatrix of A is singular in discrete-time case;
-C             = N+1:  if matrix A is numerically singular in discrete-
-C                   time case.
-C
-C     METHOD
-C
-C     For a continuous-time problem, the 2n-by-2n Hamiltonian matrix (1)
-C     is constructed.
-C     For a discrete-time problem, the 2n-by-2n symplectic matrix (2) or
-C     (3) - the inverse of the matrix in (2) - is constructed.
-C
-C     NUMERICAL ASPECTS
-C
-C     The discrete-time case needs the inverse of the matrix A, hence
-C     the routine should not be used when A is ill-conditioned.
-C                               3
-C     The algorithm requires 0(n ) floating point operations in the
-C     discrete-time case.
-C
-C     FURTHER COMMENTS
-C
-C     This routine is a functionally extended and with improved accuracy
-C     version of the SLICOT Library routine SB02MU. Transposed problems
-C     can be dealt with as well. The LU factorization of  op(A)  (with
-C     no equilibration) and iterative refinement are used for solving
-C     the various linear algebraic systems involved.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Apr. 1999.
-C
-C     REVISIONS
-C
-C     -
-C
-C     KEYWORDS
-C
-C     Algebraic Riccati equation, closed loop system, continuous-time
-C     system, discrete-time system, optimal regulator, Schur form.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION  ZERO, ONE
-      PARAMETER         ( ZERO = 0.0D0, ONE = 1.0D0 )
-C     .. Scalar Arguments ..
-      CHARACTER         DICO, HINV, TRANA, UPLO
-      INTEGER           INFO, LDA, LDG, LDQ, LDS, LDWORK, N
-C     .. Array Arguments ..
-      INTEGER           IWORK(*)
-      DOUBLE PRECISION  A(LDA,*), DWORK(*), G(LDG,*), Q(LDQ,*),
-     $                  S(LDS,*)
-C     .. Local Scalars ..
-      CHARACTER         EQUED, TRANAT
-      LOGICAL           DISCR, LHINV, LUPLO, NOTRNA
-      INTEGER           I, J, N2, NJ, NP1
-      DOUBLE PRECISION  PIVOTG, RCOND, RCONDA, TEMP
-C     .. External Functions ..
-      LOGICAL           LSAME
-      EXTERNAL          LSAME
-C     .. External Subroutines ..
-      EXTERNAL          DCOPY, DGEMM, DLACPY, DLASET, DSWAP, MA02AD,
-     $                  MA02ED, MB02PD, XERBLA
-C     .. Intrinsic Functions ..
-      INTRINSIC         MAX
-C     .. Executable Statements ..
-C
-      N2 = N + N
-      INFO = 0
-      DISCR  = LSAME( DICO,  'D' )
-      LUPLO  = LSAME( UPLO,  'U' )
-      NOTRNA = LSAME( TRANA, 'N' )
-      IF( DISCR )
-     $   LHINV = LSAME( HINV, 'D' )
-C
-C     Test the input scalar arguments.
-C
-      IF( .NOT.DISCR .AND. .NOT.LSAME( DICO, 'C' ) ) THEN
-         INFO = -1
-      ELSE IF( DISCR ) THEN
-         IF( .NOT.LHINV .AND. .NOT.LSAME( HINV, 'I' ) )
-     $      INFO = -2
-      ELSE IF( INFO.EQ.0 ) THEN
-         IF( .NOT.NOTRNA .AND. .NOT.LSAME( TRANA, 'T' )
-     $                   .AND. .NOT.LSAME( TRANA, 'C' ) ) THEN
-            INFO = -3
-         ELSE IF( .NOT.LUPLO .AND. .NOT.LSAME( UPLO, 'L' ) ) THEN
-            INFO = -4
-         ELSE IF( N.LT.0 ) THEN
-            INFO = -5
-         ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-            INFO = -7
-         ELSE IF( LDG.LT.MAX( 1, N ) ) THEN
-            INFO = -9
-         ELSE IF( LDQ.LT.MAX( 1, N ) ) THEN
-            INFO = -11
-         ELSE IF( LDS.LT.MAX( 1, N2 ) ) THEN
-            INFO = -13
-         ELSE IF( ( LDWORK.LT.0 ) .OR.
-     $            ( DISCR .AND. LDWORK.LT.MAX( 2, 6*N ) ) ) THEN
-            INFO = -16
-         END IF
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'SB02RU', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF ( N.EQ.0 ) THEN
-         IF ( DISCR ) THEN
-            DWORK(1) = ONE
-            DWORK(2) = ONE
-         END IF
-         RETURN
-      END IF
-C
-C     The code tries to exploit data locality as much as possible,
-C     assuming that LDS is greater than LDA, LDQ, and/or LDG.
-C
-      IF ( .NOT.DISCR ) THEN
-C
-C        Continuous-time case: Construct Hamiltonian matrix column-wise.
-C
-C        Copy op(A) in S(1:N,1:N), and construct full Q
-C        in S(N+1:2*N,1:N) and change the sign.
-C
-         DO 100 J = 1, N
-            IF ( NOTRNA ) THEN
-               CALL DCOPY( N, A(1,J), 1, S(1,J), 1 )
-            ELSE
-               CALL DCOPY( N, A(J,1), LDA, S(1,J), 1 )
-            END IF
-C
-            IF ( LUPLO ) THEN
-C
-               DO 20 I = 1, J
-                  S(N+I,J) = -Q(I,J)
-   20          CONTINUE
-C
-               DO 40 I = J + 1, N
-                  S(N+I,J) = -Q(J,I)
-   40          CONTINUE
-C
-            ELSE
-C
-               DO 60 I = 1, J - 1
-                  S(N+I,J) = -Q(J,I)
-   60          CONTINUE
-C
-               DO 80 I = J, N
-                  S(N+I,J) = -Q(I,J)
-   80          CONTINUE
-C
-            END IF
-  100    CONTINUE
-C
-C        Construct full G in S(1:N,N+1:2*N) and change the sign, and
-C        construct -op(A)' in S(N+1:2*N,N+1:2*N).
-C
-         DO 240 J = 1, N
-            NJ = N + J
-            IF ( LUPLO ) THEN
-C
-               DO 120 I = 1, J
-                  S(I,NJ) = -G(I,J)
-  120          CONTINUE
-C
-               DO 140 I = J + 1, N
-                  S(I,NJ) = -G(J,I)
-  140          CONTINUE
-C
-            ELSE
-C
-               DO 160 I = 1, J - 1
-                  S(I,NJ) = -G(J,I)
-  160          CONTINUE
-C
-               DO 180 I = J, N
-                  S(I,NJ) = -G(I,J)
-  180          CONTINUE
-C
-            END IF
-C
-            IF ( NOTRNA ) THEN
-C
-               DO 200 I = 1, N
-                  S(N+I,NJ) = -A(J,I)
-  200          CONTINUE
-C
-            ELSE
-C
-               DO 220 I = 1, N
-                  S(N+I,NJ) = -A(I,J)
-  220          CONTINUE
-C
-            END IF
-  240    CONTINUE
-C
-      ELSE
-C
-C        Discrete-time case: Construct the symplectic matrix (2) or (3).
-C
-C        Fill in the remaining triangles of the symmetric matrices Q
-C        and G.
-C
-         CALL MA02ED( UPLO, N, Q, LDQ )
-         CALL MA02ED( UPLO, N, G, LDG )
-C
-C        Prepare the construction of S in (2) or (3).
-C
-         NP1 = N + 1
-         IF ( NOTRNA ) THEN
-            TRANAT = 'T'
-         ELSE
-            TRANAT = 'N'
-         END IF
-C
-C        Solve  op(A)'*X = Q  in  S(N+1:2*N,1:N),  using the LU
-C        factorization of  op(A),  obtained in  S(1:N,1:N),  and
-C        iterative refinement. No equilibration of  A  is used.
-C        Workspace:  6*N.
-C
-         CALL MB02PD( 'No equilibration', TRANAT, N, N, A, LDA, S,
-     $                LDS, IWORK, EQUED, DWORK, DWORK, Q, LDQ,
-     $                S(NP1,1), LDS, RCOND, DWORK, DWORK(NP1),
-     $                IWORK(NP1), DWORK(N2+1), INFO )
-C
-C        Return if the matrix is exactly singular or singular to
-C        working precision.
-C
-         IF( INFO.GT.0 ) THEN
-            DWORK(1) = RCOND
-            DWORK(2) = DWORK(N2+1)
-            RETURN
-         END IF
-C
-         RCONDA = RCOND
-         PIVOTG = DWORK(N2+1)
-C
-         IF ( LHINV ) THEN
-C
-C           Complete the construction of S in (2).
-C
-C           Transpose  X  in-situ.
-C
-            DO 260 J = 1, N - 1
-               CALL DSWAP( N-J, S(NP1+J,J), 1, S(N+J,J+1), LDS )
-  260       CONTINUE
-C
-C           Solve  op(A)*X = I_n  in  S(N+1:2*N,N+1:2*N),  using the LU
-C           factorization of  op(A),  computed in  S(1:N,1:N),  and
-C           iterative refinement.
-C
-            CALL DLASET( 'Full', N, N, ZERO, ONE, S(1,NP1), LDS )
-            CALL MB02PD( 'Factored', TRANA, N, N, A, LDA, S, LDS, IWORK,
-     $                   EQUED, DWORK, DWORK, S(1,NP1), LDS, S(NP1,NP1),
-     $                   LDS, RCOND, DWORK, DWORK(NP1), IWORK(NP1),
-     $                   DWORK(N2+1), INFO )
-C
-C           Solve  op(A)*X = G  in  S(1:N,N+1:2*N),  using the LU
-C           factorization of  op(A),  computed in  S(1:N,1:N),  and
-C           iterative refinement.
-C
-            CALL MB02PD( 'Factored', TRANA, N, N, A, LDA, S, LDS, IWORK,
-     $                   EQUED, DWORK, DWORK, G, LDG, S(1,NP1), LDS,
-     $                   RCOND, DWORK, DWORK(NP1), IWORK(NP1),
-     $                   DWORK(N2+1), INFO )
-C
-C                      -1
-C           Copy  op(A)    from  S(N+1:2*N,N+1:2*N)  in  S(1:N,1:N).
-C
-            CALL DLACPY( 'Full', N, N, S(NP1,NP1), LDS, S, LDS )
-C
-C                                    -1
-C           Compute  op(A)' + Q*op(A)  *G  in  S(N+1:2*N,N+1:2*N).
-C
-            IF ( NOTRNA ) THEN
-               CALL MA02AD( 'Full', N, N, A, LDA, S(NP1,NP1), LDS )
-            ELSE
-               CALL DLACPY( 'Full', N, N, A, LDA, S(NP1,NP1), LDS )
-            END IF
-            CALL DGEMM( 'No transpose', 'No transpose', N, N, N, ONE,
-     $                  Q, LDQ, S(1,NP1), LDS, ONE, S(NP1,NP1), LDS )
-C
-         ELSE
-C
-C           Complete the construction of S in (3).
-C
-C           Change the sign of  X.
-C
-            DO 300 J = 1, N
-C
-               DO 280 I = NP1, N2
-                  S(I,J) = -S(I,J)
-  280          CONTINUE
-C
-  300       CONTINUE
-C
-C           Solve  op(A)'*X = I_n  in  S(N+1:2*N,N+1:2*N),  using the LU
-C           factorization of  op(A),  computed in  S(1:N,1:N),  and
-C           iterative refinement.
-C
-            CALL DLASET( 'Full', N, N, ZERO, ONE, S(1,NP1), LDS )
-            CALL MB02PD( 'Factored', TRANAT, N, N, A, LDA, S, LDS,
-     $                   IWORK, EQUED, DWORK, DWORK, S(1,NP1), LDS,
-     $                   S(NP1,NP1), LDS, RCOND, DWORK, DWORK(NP1),
-     $                   IWORK(NP1), DWORK(N2+1), INFO )
-C
-C           Solve  op(A)*X' = -G  in  S(1:N,N+1:2*N),  using the LU
-C           factorization of  op(A),  obtained in  S(1:N,1:N),  and
-C           iterative refinement.
-C
-            CALL MB02PD( 'Factored', TRANA, N, N, A, LDA, S, LDS, IWORK,
-     $                   EQUED, DWORK, DWORK, G, LDG, S(1,NP1), LDS,
-     $                   RCOND, DWORK, DWORK(NP1), IWORK(NP1),
-     $                   DWORK(N2+1), INFO )
-C
-C           Change the sign of  X  and transpose it in-situ.
-C
-            DO 340 J = NP1, N2
-C
-               DO 320 I = 1, N
-                  TEMP   = -S(I,J)
-                  S(I,J) = -S(J-N,I+N)
-                  S(J-N,I+N) = TEMP
-  320          CONTINUE
-C
-  340       CONTINUE
-C                                   -T
-C           Compute  op(A) + G*op(A)  *Q  in  S(1:N,1:N).
-C
-            IF ( NOTRNA ) THEN
-               CALL DLACPY( 'Full', N, N, A, LDA, S, LDS )
-            ELSE
-               CALL MA02AD( 'Full', N, N, A, LDA, S, LDS )
-            END IF
-            CALL DGEMM( 'No transpose', 'No transpose', N, N, N, -ONE,
-     $                  G, LDG, S(NP1,1), LDS, ONE, S, LDS )
-C
-         END IF
-         DWORK(1) = RCONDA
-         DWORK(2) = PIVOTG
-      END IF
-      RETURN
-C
-C *** Last line of SB02RU ***
-      END
--- a/extra/control-devel/devel/dksyn/SB02SD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,859 +0,0 @@
-      SUBROUTINE SB02SD( JOB, FACT, TRANA, UPLO, LYAPUN, N, A, LDA, T,
-     $                   LDT, U, LDU, G, LDG, Q, LDQ, X, LDX, SEPD,
-     $                   RCOND, FERR, IWORK, DWORK, LDWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To estimate the conditioning and compute an error bound on the
-C     solution of the real discrete-time matrix algebraic Riccati
-C     equation (see FURTHER COMMENTS)
-C                                 -1
-C         X = op(A)'*X*(I_n + G*X)  *op(A) + Q,                      (1)
-C
-C     where op(A) = A or A' (A**T) and Q, G are symmetric (Q = Q**T,
-C     G = G**T). The matrices A, Q and G are N-by-N and the solution X
-C     is N-by-N.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     JOB     CHARACTER*1
-C             Specifies the computation to be performed, as follows:
-C             = 'C':  Compute the reciprocal condition number only;
-C             = 'E':  Compute the error bound only;
-C             = 'B':  Compute both the reciprocal condition number and
-C                     the error bound.
-C
-C     FACT    CHARACTER*1
-C             Specifies whether or not the real Schur factorization of
-C             the matrix Ac = inv(I_n + G*X)*A (if TRANA = 'N'), or
-C             Ac = A*inv(I_n + X*G) (if TRANA = 'T' or 'C'), is supplied
-C             on entry, as follows:
-C             = 'F':  On entry, T and U (if LYAPUN = 'O') contain the
-C                     factors from the real Schur factorization of the
-C                     matrix Ac;
-C             = 'N':  The Schur factorization of Ac will be computed
-C                     and the factors will be stored in T and U (if
-C                     LYAPUN = 'O').
-C
-C     TRANA   CHARACTER*1
-C             Specifies the form of op(A) to be used, as follows:
-C             = 'N':  op(A) = A    (No transpose);
-C             = 'T':  op(A) = A**T (Transpose);
-C             = 'C':  op(A) = A**T (Conjugate transpose = Transpose).
-C
-C     UPLO    CHARACTER*1
-C             Specifies which part of the symmetric matrices Q and G is
-C             to be used, as follows:
-C             = 'U':  Upper triangular part;
-C             = 'L':  Lower triangular part.
-C
-C     LYAPUN  CHARACTER*1
-C             Specifies whether or not the original Lyapunov equations
-C             should be solved in the iterative estimation process,
-C             as follows:
-C             = 'O':  Solve the original Lyapunov equations, updating
-C                     the right-hand sides and solutions with the
-C                     matrix U, e.g., RHS <-- U'*RHS*U;
-C             = 'R':  Solve reduced Lyapunov equations only, without
-C                     updating the right-hand sides and solutions.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the matrices A, X, Q, and G.  N >= 0.
-C
-C     A       (input) DOUBLE PRECISION array, dimension (LDA,N)
-C             If FACT = 'N' or LYAPUN = 'O', the leading N-by-N part of
-C             this array must contain the matrix A.
-C             If FACT = 'F' and LYAPUN = 'R', A is not referenced.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.
-C             LDA >= max(1,N), if FACT = 'N' or  LYAPUN = 'O';
-C             LDA >= 1,        if FACT = 'F' and LYAPUN = 'R'.
-C
-C     T       (input or output) DOUBLE PRECISION array, dimension
-C             (LDT,N)
-C             If FACT = 'F', then T is an input argument and on entry,
-C             the leading N-by-N upper Hessenberg part of this array
-C             must contain the upper quasi-triangular matrix T in Schur
-C             canonical form from a Schur factorization of Ac (see
-C             argument FACT).
-C             If FACT = 'N', then T is an output argument and on exit,
-C             if INFO = 0 or INFO = N+1, the leading N-by-N upper
-C             Hessenberg part of this array contains the upper quasi-
-C             triangular matrix T in Schur canonical form from a Schur
-C             factorization of Ac (see argument FACT).
-C
-C     LDT     INTEGER
-C             The leading dimension of the array T.  LDT >= max(1,N).
-C
-C     U       (input or output) DOUBLE PRECISION array, dimension
-C             (LDU,N)
-C             If LYAPUN = 'O' and FACT = 'F', then U is an input
-C             argument and on entry, the leading N-by-N part of this
-C             array must contain the orthogonal matrix U from a real
-C             Schur factorization of Ac (see argument FACT).
-C             If LYAPUN = 'O' and FACT = 'N', then U is an output
-C             argument and on exit, if INFO = 0 or INFO = N+1, it
-C             contains the orthogonal N-by-N matrix from a real Schur
-C             factorization of Ac (see argument FACT).
-C             If LYAPUN = 'R', the array U is not referenced.
-C
-C     LDU     INTEGER
-C             The leading dimension of the array U.
-C             LDU >= 1,        if LYAPUN = 'R';
-C             LDU >= MAX(1,N), if LYAPUN = 'O'.
-C
-C     G       (input) DOUBLE PRECISION array, dimension (LDG,N)
-C             If UPLO = 'U', the leading N-by-N upper triangular part of
-C             this array must contain the upper triangular part of the
-C             matrix G.
-C             If UPLO = 'L', the leading N-by-N lower triangular part of
-C             this array must contain the lower triangular part of the
-C             matrix G.                     _
-C             Matrix G should correspond to G in the "reduced" Riccati
-C             equation (with matrix T, instead of A), if LYAPUN = 'R'.
-C             See METHOD.
-C
-C     LDG     INTEGER
-C             The leading dimension of the array G.  LDG >= max(1,N).
-C
-C     Q       (input) DOUBLE PRECISION array, dimension (LDQ,N)
-C             If UPLO = 'U', the leading N-by-N upper triangular part of
-C             this array must contain the upper triangular part of the
-C             matrix Q.
-C             If UPLO = 'L', the leading N-by-N lower triangular part of
-C             this array must contain the lower triangular part of the
-C             matrix Q.                     _
-C             Matrix Q should correspond to Q in the "reduced" Riccati
-C             equation (with matrix T, instead of A), if LYAPUN = 'R'.
-C             See METHOD.
-C
-C     LDQ     INTEGER
-C             The leading dimension of the array Q.  LDQ >= max(1,N).
-C
-C     X       (input) DOUBLE PRECISION array, dimension (LDX,N)
-C             The leading N-by-N part of this array must contain the
-C             symmetric solution matrix of the original Riccati
-C             equation (with matrix A), if LYAPUN = 'O', or of the
-C             "reduced" Riccati equation (with matrix T), if
-C             LYAPUN = 'R'. See METHOD.
-C
-C     LDX     INTEGER
-C             The leading dimension of the array X.  LDX >= max(1,N).
-C
-C     SEPD    (output) DOUBLE PRECISION
-C             If JOB = 'C' or JOB = 'B', the estimated quantity
-C             sepd(op(Ac),op(Ac)').
-C             If N = 0, or X = 0, or JOB = 'E', SEPD is not referenced.
-C
-C     RCOND   (output) DOUBLE PRECISION
-C             If JOB = 'C' or JOB = 'B', an estimate of the reciprocal
-C             condition number of the discrete-time Riccati equation.
-C             If N = 0 or X = 0, RCOND is set to 1 or 0, respectively.
-C             If JOB = 'E', RCOND is not referenced.
-C
-C     FERR    (output) DOUBLE PRECISION
-C             If JOB = 'E' or JOB = 'B', an estimated forward error
-C             bound for the solution X. If XTRUE is the true solution,
-C             FERR bounds the magnitude of the largest entry in
-C             (X - XTRUE) divided by the magnitude of the largest entry
-C             in X.
-C             If N = 0 or X = 0, FERR is set to 0.
-C             If JOB = 'C', FERR is not referenced.
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension (N*N)
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if INFO = 0 or INFO = N+1, DWORK(1) returns the
-C             optimal value of LDWORK.
-C
-C     LDWORK  INTEGER
-C             The dimension of the array DWORK.
-C             Let LWA = N*N, if LYAPUN = 'O';
-C                 LWA = 0,   otherwise,
-C             and LWN = N,   if LYAPUN = 'R' and JOB = 'E' or 'B';
-C                 LWN = 0,   otherwise.
-C             If FACT = 'N', then
-C                LDWORK  = MAX(LWA + 5*N, MAX(3,2*N*N) + N*N),
-C                                                 if JOB = 'C';
-C                LDWORK  = MAX(LWA + 5*N, MAX(3,2*N*N) + 2*N*N + LWN),
-C                                                 if JOB = 'E' or 'B'.
-C             If FACT = 'F', then
-C                LDWORK  = MAX(3,2*N*N) + N*N,    if JOB = 'C';
-C                LDWORK  = MAX(3,2*N*N) + 2*N*N + LWN,
-C                                                 if JOB = 'E' or 'B'.
-C             For good performance, LDWORK must generally be larger.
-C
-C     Error indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             > 0:  if INFO = i, i <= N, the QR algorithm failed to
-C                   complete the reduction of the matrix Ac to Schur
-C                   canonical form (see LAPACK Library routine DGEES);
-C                   on exit, the matrix T(i+1:N,i+1:N) contains the
-C                   partially converged Schur form, and DWORK(i+1:N) and
-C                   DWORK(N+i+1:2*N) contain the real and imaginary
-C                   parts, respectively, of the converged eigenvalues;
-C                   this error is unlikely to appear;
-C             = N+1:  if T has almost reciprocal eigenvalues; perturbed
-C                   values were used to solve Lyapunov equations, but
-C                   the matrix T, if given (for FACT = 'F'), is
-C                   unchanged.
-C
-C     METHOD
-C
-C     The condition number of the Riccati equation is estimated as
-C
-C     cond = ( norm(Theta)*norm(A) + norm(inv(Omega))*norm(Q) +
-C                 norm(Pi)*norm(G) ) / norm(X),
-C
-C     where Omega, Theta and Pi are linear operators defined by
-C
-C     Omega(W) = op(Ac)'*W*op(Ac) - W,
-C     Theta(W) = inv(Omega(op(W)'*X*op(Ac) + op(Ac)'X*op(W))),
-C        Pi(W) = inv(Omega(op(Ac)'*X*W*X*op(Ac))),
-C
-C     and Ac = inv(I_n + G*X)*A (if TRANA = 'N'), or
-C         Ac = A*inv(I_n + X*G) (if TRANA = 'T' or 'C').
-C
-C     Note that the Riccati equation (1) is equivalent to
-C
-C         X = op(Ac)'*X*op(Ac) + op(Ac)'*X*G*X*op(Ac) + Q,           (2)
-C
-C     and to
-C         _          _                _ _ _         _
-C         X = op(T)'*X*op(T) + op(T)'*X*G*X*op(T) + Q,               (3)
-C           _           _               _
-C     where X = U'*X*U, Q = U'*Q*U, and G = U'*G*U, with U the
-C     orthogonal matrix reducing Ac to a real Schur form, T = U'*Ac*U.
-C
-C     The routine estimates the quantities
-C
-C     sepd(op(Ac),op(Ac)') = 1 / norm(inv(Omega)),
-C
-C     norm(Theta) and norm(Pi) using 1-norm condition estimator.
-C
-C     The forward error bound is estimated using a practical error bound
-C     similar to the one proposed in [2].
-C
-C     REFERENCES
-C
-C     [1] Ghavimi, A.R. and Laub, A.J.
-C         Backward error, sensitivity, and refinement of computed
-C         solutions of algebraic Riccati equations.
-C         Numerical Linear Algebra with Applications, vol. 2, pp. 29-49,
-C         1995.
-C
-C     [2] Higham, N.J.
-C         Perturbation theory and backward error for AX-XB=C.
-C         BIT, vol. 33, pp. 124-136, 1993.
-C
-C     [3] Petkov, P.Hr., Konstantinov, M.M., and Mehrmann, V.
-C         DGRSVX and DMSRIC: Fortran 77 subroutines for solving
-C         continuous-time matrix algebraic Riccati equations with
-C         condition and accuracy estimates.
-C         Preprint SFB393/98-16, Fak. f. Mathematik, Tech. Univ.
-C         Chemnitz, May 1998.
-C
-C     NUMERICAL ASPECTS
-C                               3
-C     The algorithm requires 0(N ) operations.
-C     The accuracy of the estimates obtained depends on the solution
-C     accuracy and on the properties of the 1-norm estimator.
-C
-C     FURTHER COMMENTS
-C
-C     The option LYAPUN = 'R' may occasionally produce slightly worse
-C     or better estimates, and it is much faster than the option 'O'.
-C     When SEPD is computed and it is zero, the routine returns
-C     immediately, with RCOND and FERR (if requested) set to 0 and 1,
-C     respectively. In this case, the equation is singular.
-C
-C     Let B be an N-by-M matrix (if TRANA = 'N') or an M-by-N matrix
-C     (if TRANA = 'T' or 'C'), let R be an M-by-M symmetric positive
-C     definite matrix (R = R**T), and denote G = op(B)*inv(R)*op(B)'.
-C     Then, the Riccati equation (1) is equivalent to the standard
-C     discrete-time matrix algebraic Riccati equation
-C
-C         X = op(A)'*X*op(A) -                                       (4)
-C                                                -1
-C             op(A)'*X*op(B)*(R + op(B)'*X*op(B))  *op(B)'*X*op(A) + Q.
-C
-C     By symmetry, the equation (1) is also equivalent to
-C                               -1
-C         X = op(A)'*(I_n + X*G)  *X*op(A) + Q.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, and
-C     P.Hr. Petkov, Technical University of Sofia, March 1999.
-C
-C     REVISIONS
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Oct. 2004.
-C
-C     KEYWORDS
-C
-C     Conditioning, error estimates, orthogonal transformation,
-C     real Schur form, Riccati equation.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE, TWO, FOUR, HALF
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0, TWO = 2.0D+0,
-     $                     FOUR = 4.0D+0, HALF = 0.5D+0 )
-C     ..
-C     .. Scalar Arguments ..
-      CHARACTER          FACT, JOB, LYAPUN, TRANA, UPLO
-      INTEGER            INFO, LDA, LDG, LDQ, LDT, LDU, LDWORK, LDX, N
-      DOUBLE PRECISION   FERR, RCOND, SEPD
-C     ..
-C     .. Array Arguments ..
-      INTEGER            IWORK( * )
-      DOUBLE PRECISION   A( LDA, * ), DWORK( * ),  G( LDG, * ),
-     $                   Q( LDQ, * ), T( LDT, * ), U( LDU, * ),
-     $                   X( LDX, * )
-C     ..
-C     .. Local Scalars ..
-      LOGICAL            JOBB, JOBC, JOBE, LOWER, NEEDAC, NOFACT,
-     $                   NOTRNA, UPDATE
-      CHARACTER          LOUP, SJOB, TRANAT
-      INTEGER            I, IABS, INFO2, IRES, IWRK, IXBS, IXMA, J, JJ,
-     $                   KASE, LDW, LWA, LWR, NN, SDIM, WRKOPT
-      DOUBLE PRECISION   ANORM, BIGNUM, DENOM, EPS, EPSN, EPST, EST,
-     $                   GNORM, PINORM, QNORM, SCALE, TEMP, THNORM,
-     $                   TMAX, XANORM, XNORM
-C     ..
-C     .. Local Arrays ..
-      LOGICAL            BWORK( 1 )
-C     ..
-C     .. External Functions ..
-      LOGICAL            LSAME, SELECT
-      DOUBLE PRECISION   DLAMCH, DLANGE, DLANHS, DLANSY
-      EXTERNAL           DLAMCH, DLANGE, DLANHS, DLANSY, LSAME, SELECT
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DAXPY, DCOPY, DGEES, DGEMM, DGESV, DLACON,
-     $                   DLACPY, DLASET, DSCAL, DSWAP, DSYMM, MA02ED,
-     $                   MB01RU, MB01RX, MB01RY, MB01UD, SB03MX, SB03SX,
-     $                   SB03SY, XERBLA
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          ABS, DBLE, INT, MAX, MIN
-C     ..
-C     .. Executable Statements ..
-C
-C     Decode and Test input parameters.
-C
-      JOBC   = LSAME( JOB,    'C' )
-      JOBE   = LSAME( JOB,    'E' )
-      JOBB   = LSAME( JOB,    'B' )
-      NOFACT = LSAME( FACT,   'N' )
-      NOTRNA = LSAME( TRANA,  'N' )
-      LOWER  = LSAME( UPLO,   'L' )
-      UPDATE = LSAME( LYAPUN, 'O' )
-C
-      NEEDAC = UPDATE .AND. .NOT.JOBC
-C
-      NN = N*N
-      IF( UPDATE ) THEN
-         LWA = NN
-      ELSE
-         LWA = 0
-      END IF
-C
-      IF( JOBC ) THEN
-         LDW = MAX( 3, 2*NN ) + NN
-      ELSE
-         LDW = MAX( 3, 2*NN ) + 2*NN
-         IF( .NOT.UPDATE )
-     $      LDW = LDW + N
-      END IF
-      IF( NOFACT )
-     $   LDW = MAX( LWA + 5*N, LDW )
-C
-      INFO = 0
-      IF( .NOT.( JOBB .OR. JOBC .OR. JOBE ) ) THEN
-         INFO = -1
-      ELSE IF( .NOT.( NOFACT .OR. LSAME( FACT,   'F' ) ) ) THEN
-         INFO = -2
-      ELSE IF( .NOT.( NOTRNA .OR. LSAME( TRANA,  'T' ) .OR.
-     $                            LSAME( TRANA,  'C' ) ) ) THEN
-         INFO = -3
-      ELSE IF( .NOT.( LOWER  .OR. LSAME( UPLO,   'U' ) ) ) THEN
-         INFO = -4
-      ELSE IF( .NOT.( UPDATE .OR. LSAME( LYAPUN, 'R' ) ) ) THEN
-         INFO = -5
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -6
-      ELSE IF( LDA.LT.1 .OR.
-     $       ( LDA.LT.N .AND. ( UPDATE .OR. NOFACT ) ) ) THEN
-         INFO = -8
-      ELSE IF( LDT.LT.MAX( 1, N ) ) THEN
-         INFO = -10
-      ELSE IF( LDU.LT.1 .OR. ( LDU.LT.N .AND. UPDATE ) ) THEN
-         INFO = -12
-      ELSE IF( LDG.LT.MAX( 1, N ) ) THEN
-         INFO = -14
-      ELSE IF( LDQ.LT.MAX( 1, N ) ) THEN
-         INFO = -16
-      ELSE IF( LDX.LT.MAX( 1, N ) ) THEN
-         INFO = -18
-      ELSE IF( LDWORK.LT.LDW ) THEN
-         INFO = -24
-      END IF
-C
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'SB02SD', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF( N.EQ.0 ) THEN
-         IF( .NOT.JOBE )
-     $      RCOND = ONE
-         IF( .NOT.JOBC )
-     $      FERR  = ZERO
-         DWORK( 1 ) = ONE
-         RETURN
-      END IF
-C
-C     Compute the 1-norm of the matrix X.
-C
-      XNORM = DLANSY( '1-norm', UPLO, N, X, LDX, DWORK )
-      IF( XNORM.EQ.ZERO ) THEN
-C
-C        The solution is zero.
-C
-         IF( .NOT.JOBE )
-     $      RCOND = ZERO
-         IF( .NOT.JOBC )
-     $      FERR  = ZERO
-         DWORK( 1 ) = DBLE( N )
-         RETURN
-      END IF
-C
-C     Workspace usage.
-C
-      IRES = 0
-      IXBS = IRES + NN
-      IXMA = MAX( 3, 2*NN )
-      IABS = IXMA + NN
-      IWRK = IABS + NN
-C
-C     Workspace:  LWK, where
-C                 LWK = 2*N*N, if LYAPUN = 'O', or FACT = 'N',
-C                 LWK = N,     otherwise.
-C
-      IF( UPDATE .OR. NOFACT ) THEN
-C
-         CALL DLASET( 'Full', N, N, ZERO, ONE, DWORK( IXBS+1 ), N )
-         CALL DSYMM(  'Left', UPLO, N, N, ONE, G, LDG, X, LDX, ONE,
-     $                DWORK( IXBS+1 ), N )
-         IF( NOTRNA ) THEN
-C                                   -1
-C           Compute Ac = (I_n + G*X)  *A.
-C
-            CALL DLACPY( 'Full', N, N, A, LDA, DWORK, N )
-            CALL DGESV( N, N, DWORK( IXBS+1 ), N, IWORK, DWORK, N,
-     $                  INFO2 )
-         ELSE
-C                                     -1
-C           Compute Ac = A*(I_n + X*G)  .
-C
-            DO 10 J = 1, N
-               CALL DCOPY( N, A( 1, J ), 1, DWORK( J ), N )
-   10       CONTINUE
-            CALL DGESV( N, N, DWORK( IXBS+1 ), N, IWORK, DWORK, N,
-     $                  INFO2 )
-            DO 20 J = 2, N
-               CALL DSWAP( J-1, DWORK( (J-1)*N+1 ), 1, DWORK( J ), N )
-   20       CONTINUE
-         END IF
-C
-         WRKOPT = DBLE( 2*NN )
-         IF( NOFACT )
-     $      CALL DLACPY( 'Full', N, N, DWORK, N, T, LDT )
-      ELSE
-         WRKOPT = DBLE( N )
-      END IF
-C
-      IF( NOFACT ) THEN
-C
-C        Compute the Schur factorization of Ac, Ac = U*T*U'.
-C        Workspace:  need   LWA + 5*N;
-C                    prefer larger;
-C                    LWA = N*N, if LYAPUN = 'O';
-C                    LWA = 0,   otherwise.
-C        (Note: Comments in the code beginning "Workspace:" describe the
-C        minimal amount of real workspace needed at that point in the
-C        code, as well as the preferred amount for good performance.)
-C
-         IF( UPDATE ) THEN
-            SJOB = 'V'
-         ELSE
-            SJOB = 'N'
-         END IF
-         CALL DGEES( SJOB, 'Not ordered', SELECT, N, T, LDT, SDIM,
-     $               DWORK( LWA+1 ), DWORK( LWA+N+1 ), U, LDU,
-     $               DWORK( LWA+2*N+1 ), LDWORK-LWA-2*N, BWORK, INFO )
-         IF( INFO.GT.0 ) THEN
-            IF( LWA.GT.0 )
-     $         CALL DCOPY( 2*N, DWORK( LWA+1 ), 1, DWORK, 1 )
-            RETURN
-         END IF
-C
-         WRKOPT = MAX( WRKOPT, INT( DWORK( LWA+2*N+1 ) ) + LWA + 2*N )
-      END IF
-      IF( NEEDAC ) THEN
-         CALL DLACPY( 'Full', N, N, DWORK, N, DWORK( IABS+1 ), N )
-         LWR = NN
-      ELSE
-         LWR = 0
-      END IF
-C
-      IF( NOTRNA ) THEN
-         TRANAT = 'T'
-      ELSE
-         TRANAT = 'N'
-      END IF
-C                         _
-C     Compute X*op(Ac) or X*op(T).
-C
-      IF( UPDATE ) THEN
-         CALL DGEMM( 'NoTranspose', TRANA, N, N, N, ONE, X, LDX, DWORK,
-     $               N, ZERO, DWORK( IXMA+1 ), N )
-      ELSE
-         CALL MB01UD( 'Right', TRANA, N, N, ONE, T, LDT, X, LDX,
-     $                DWORK( IXMA+1 ), N, INFO2 )
-      END IF
-C
-      IF( .NOT.JOBE ) THEN
-C
-C        Estimate sepd(op(Ac),op(Ac)') = sepd(op(T),op(T)') and
-C        norm(Theta).
-C        Workspace LWR + MAX(3,2*N*N) + N*N, where
-C                  LWR = N*N, if LYAPUN = 'O' and JOB = 'B',
-C                  LWR = 0,   otherwise.
-C
-         CALL SB03SY( 'Both', TRANA, LYAPUN, N, T, LDT, U, LDU,
-     $                DWORK( IXMA+1 ), N, SEPD, THNORM, IWORK, DWORK,
-     $                IXMA, INFO )
-C
-         WRKOPT = MAX( WRKOPT, LWR + MAX( 3, 2*NN ) + NN )
-C
-C        Return if the equation is singular.
-C
-         IF( SEPD.EQ.ZERO ) THEN
-            RCOND = ZERO
-            IF( JOBB )
-     $         FERR = ONE
-            DWORK( 1 ) = DBLE( WRKOPT )
-            RETURN
-         END IF
-C
-C        Estimate norm(Pi).
-C        Workspace LWR + MAX(3,2*N*N) + N*N.
-C
-         KASE = 0
-C
-C        REPEAT
-   30    CONTINUE
-         CALL DLACON( NN, DWORK( IXBS+1 ), DWORK, IWORK, EST, KASE )
-         IF( KASE.NE.0 ) THEN
-C
-C           Select the triangular part of symmetric matrix to be used.
-C
-            IF( DLANSY( '1-norm', 'Upper', N, DWORK, N, DWORK( IXBS+1 ))
-     $          .GE.
-     $          DLANSY( '1-norm', 'Lower', N, DWORK, N, DWORK( IXBS+1 ))
-     $        ) THEN
-               LOUP = 'U'
-            ELSE
-               LOUP = 'L'
-            END IF
-C                                                        _   _
-C           Compute RHS = op(Ac)'*X*W*X*op(Ac) or op(T)'*X*W*X*op(T).
-C
-            CALL MB01RU( LOUP, TRANAT, N, N, ZERO, ONE, DWORK, N,
-     $                   DWORK( IXMA+1 ), N, DWORK, N, DWORK( IXBS+1 ),
-     $                   NN, INFO2 )
-            CALL DSCAL( N, HALF, DWORK, N+1 )
-C
-            IF( UPDATE ) THEN
-C
-C              Transform the right-hand side: RHS := U'*RHS*U.
-C
-               CALL MB01RU( LOUP, 'Transpose', N, N, ZERO, ONE, DWORK,
-     $                      N, U, LDU, DWORK, N, DWORK( IXBS+1 ), NN,
-     $                      INFO2 )
-               CALL DSCAL( N, HALF, DWORK, N+1 )
-            END IF
-C
-C           Fill in the remaining triangle of the symmetric matrix.
-C
-            CALL MA02ED( LOUP, N, DWORK, N )
-C
-            IF( KASE.EQ.1 ) THEN
-C
-C              Solve op(T)'*Y*op(T) - Y = scale*RHS.
-C
-               CALL SB03MX( TRANA, N, T, LDT, DWORK, N, SCALE,
-     $                      DWORK( IXBS+1 ), INFO2 )
-            ELSE
-C
-C              Solve op(T)*W*op(T)' - W = scale*RHS.
-C
-               CALL SB03MX( TRANAT, N, T, LDT, DWORK, N, SCALE,
-     $                      DWORK( IXBS+1 ), INFO2 )
-            END IF
-C
-            IF( UPDATE ) THEN
-C
-C              Transform back to obtain the solution: Z := U*Z*U', with
-C              Z = Y or Z = W.
-C
-               CALL MB01RU( LOUP, 'No transpose', N, N, ZERO, ONE,
-     $                      DWORK, N, U, LDU, DWORK, N, DWORK( IXBS+1 ),
-     $                      NN, INFO2 )
-               CALL DSCAL( N, HALF, DWORK, N+1 )
-C
-C              Fill in the remaining triangle of the symmetric matrix.
-C
-               CALL MA02ED( LOUP, N, DWORK, N )
-            END IF
-            GO TO 30
-         END IF
-C        UNTIL KASE = 0
-C
-         IF( EST.LT.SCALE ) THEN
-            PINORM = EST / SCALE
-         ELSE
-            BIGNUM = ONE / DLAMCH( 'Safe minimum' )
-            IF( EST.LT.SCALE*BIGNUM ) THEN
-               PINORM = EST / SCALE
-            ELSE
-               PINORM = BIGNUM
-            END IF
-         END IF
-C
-C        Compute the 1-norm of A or T.
-C
-         IF( UPDATE ) THEN
-            ANORM = DLANGE( '1-norm', N, N, A, LDA, DWORK )
-         ELSE
-            ANORM = DLANHS( '1-norm', N, T, LDT, DWORK )
-         END IF
-C
-C        Compute the 1-norms of the matrices Q and G.
-C
-         QNORM = DLANSY( '1-norm', UPLO, N, Q, LDQ, DWORK )
-         GNORM = DLANSY( '1-norm', UPLO, N, G, LDG, DWORK )
-C
-C        Estimate the reciprocal condition number.
-C
-         TMAX = MAX( SEPD, XNORM, ANORM, GNORM )
-         IF( TMAX.LE.ONE ) THEN
-            TEMP  = SEPD*XNORM
-            DENOM = QNORM + ( SEPD*ANORM )*THNORM +
-     $                      ( SEPD*GNORM )*PINORM
-         ELSE
-            TEMP  =   ( SEPD / TMAX )*( XNORM / TMAX )
-            DENOM = ( ( ONE  / TMAX )*( QNORM / TMAX ) ) +
-     $              ( ( SEPD / TMAX )*( ANORM / TMAX ) )*THNORM +
-     $              ( ( SEPD / TMAX )*( GNORM / TMAX ) )*PINORM
-         END IF
-         IF( TEMP.GE.DENOM ) THEN
-            RCOND = ONE
-         ELSE
-            RCOND = TEMP / DENOM
-         END IF
-      END IF
-C
-      IF( .NOT.JOBC ) THEN
-C
-C        Form a triangle of the residual matrix
-C          R = op(Ac)'*X*op(Ac) + op(Ac)'*X*G*X*op(Ac) + Q - X,
-C        or           _                _ _ _         _   _
-C          R = op(T)'*X*op(T) + op(T)'*X*G*X*op(T) + Q - X,
-C        exploiting the symmetry. Actually, the equivalent formula
-C          R = op(A)'*X*op(Ac) + Q - X
-C        is used in the first case.
-C        Workspace MAX(3,2*N*N) + 2*N*N,     if LYAPUN = 'O';
-C                  MAX(3,2*N*N) + 2*N*N + N, if LYAPUN = 'R'.
-C
-         CALL DLACPY( UPLO, N, N, Q, LDQ, DWORK( IRES+1 ), N )
-         JJ = IRES + 1
-         IF( LOWER ) THEN
-            DO 40 J = 1, N
-               CALL DAXPY( N-J+1, -ONE, X( J, J ), 1, DWORK( JJ ), 1 )
-               JJ = JJ + N + 1
-   40       CONTINUE
-         ELSE
-            DO 50 J = 1, N
-               CALL DAXPY( J, -ONE, X( 1, J ), 1, DWORK( JJ ), 1 )
-               JJ = JJ + N
-   50       CONTINUE
-         END IF
-C
-         IF( UPDATE ) THEN
-            CALL MB01RX( 'Left', UPLO, TRANAT, N, N, ONE, ONE,
-     $                   DWORK( IRES+1 ), N, A, LDA, DWORK( IXMA+1 ), N,
-     $                   INFO2 )
-         ELSE
-            CALL MB01RY( 'Left', UPLO, TRANAT, N, ONE, ONE,
-     $                   DWORK( IRES+1 ), N, T, LDT, DWORK( IXMA+1 ), N,
-     $                   DWORK( IWRK+1 ), INFO2 )
-            CALL DSYMM(  'Left', UPLO, N, N, ONE, G, LDG,
-     $                   DWORK( IXMA+1 ), N, ZERO, DWORK( IXBS+1 ), N )
-            CALL MB01RX( 'Left', UPLO, 'Transpose', N, N, ONE, ONE,
-     $                   DWORK( IRES+1 ), N, DWORK( IXMA+1 ), N,
-     $                   DWORK( IXBS+1 ), N, INFO2 )
-         END IF
-C
-C        Get the machine precision.
-C
-         EPS  = DLAMCH( 'Epsilon' )
-         EPSN = EPS*DBLE( N + 4 )
-         EPST = EPS*DBLE( 2*( N + 1 ) )
-         TEMP = EPS*FOUR
-C
-C        Add to abs(R) a term that takes account of rounding errors in
-C        forming R:
-C         abs(R) := abs(R) + EPS*(4*abs(Q) + 4*abs(X) +
-C                   (n+4)*abs(op(Ac))'*abs(X)*abs(op(Ac)) + 2*(n+1)*
-C                   abs(op(Ac))'*abs(X)*abs(G)*abs(X)*abs(op(Ac))),
-C        or                             _          _
-C         abs(R) := abs(R) + EPS*(4*abs(Q) + 4*abs(X) +
-C                                         _
-C                   (n+4)*abs(op(T))'*abs(X)*abs(op(T)) +
-C                                         _      _      _
-C                 2*(n+1)*abs(op(T))'*abs(X)*abs(G)*abs(X)*abs(op(T))),
-C        where EPS is the machine precision.
-C
-         DO 70 J = 1, N
-            DO 60 I = 1, N
-               DWORK( IXBS+(J-1)*N+I ) = ABS( X( I, J ) )
-   60       CONTINUE
-   70    CONTINUE
-C
-         IF( LOWER ) THEN
-            DO 90 J = 1, N
-               DO 80 I = J, N
-                  DWORK( IRES+(J-1)*N+I ) = TEMP*( ABS( Q( I, J ) ) +
-     $                                             ABS( X( I, J ) ) ) +
-     $                                 ABS( DWORK( IRES+(J-1)*N+I ) )
-   80          CONTINUE
-   90       CONTINUE
-         ELSE
-            DO 110 J = 1, N
-               DO 100 I = 1, J
-                  DWORK( IRES+(J-1)*N+I ) = TEMP*( ABS( Q( I, J ) ) +
-     $                                             ABS( X( I, J ) ) ) +
-     $                                 ABS( DWORK( IRES+(J-1)*N+I ) )
-  100          CONTINUE
-  110       CONTINUE
-         END IF
-C
-         IF( UPDATE ) THEN
-C
-            DO 130 J = 1, N
-               DO 120 I = 1, N
-                  DWORK( IABS+(J-1)*N+I ) =
-     $               ABS( DWORK( IABS+(J-1)*N+I ) )
-  120          CONTINUE
-  130       CONTINUE
-C
-            CALL DGEMM( 'NoTranspose', TRANA, N, N, N, ONE,
-     $                  DWORK( IXBS+1 ), N, DWORK( IABS+1 ), N, ZERO,
-     $                  DWORK( IXMA+1 ), N )
-            CALL MB01RX( 'Left', UPLO, TRANAT, N, N, ONE, EPSN,
-     $                   DWORK( IRES+1 ), N, DWORK( IABS+1 ), N,
-     $                   DWORK( IXMA+1 ), N, INFO2 )
-         ELSE
-C
-            DO 150 J = 1, N
-               DO 140 I = 1, MIN( J+1, N )
-                  DWORK( IABS+(J-1)*N+I ) = ABS( T( I, J ) )
-  140          CONTINUE
-  150       CONTINUE
-C
-            CALL MB01UD( 'Right', TRANA, N, N, ONE, DWORK( IABS+1 ), N,
-     $                   DWORK( IXBS+1 ), N, DWORK( IXMA+1 ), N, INFO2 )
-            CALL MB01RY( 'Left', UPLO, TRANAT, N, ONE, EPSN,
-     $                   DWORK( IRES+1 ), N, DWORK( IABS+1 ), N,
-     $                   DWORK( IXMA+1 ), N, DWORK( IWRK+1 ), INFO2 )
-         END IF
-C
-         IF( LOWER ) THEN
-            DO 170 J = 1, N
-               DO 160 I = J, N
-                  DWORK( IABS+(J-1)*N+I ) = ABS( G( I, J ) )
-  160          CONTINUE
-  170       CONTINUE
-         ELSE
-            DO 190 J = 1, N
-               DO 180 I = 1, J
-                  DWORK( IABS+(J-1)*N+I ) = ABS( G( I, J ) )
-  180          CONTINUE
-  190       CONTINUE
-         END IF
-C
-         IF( UPDATE ) THEN
-            CALL MB01RU( UPLO, TRANAT, N, N, ONE, EPST, DWORK( IRES+1 ),
-     $                   N, DWORK( IXMA+1 ), N, DWORK( IABS+1 ), N,
-     $                   DWORK( IXBS+1 ), NN, INFO2 )
-            WRKOPT = MAX( WRKOPT, MAX( 3, 2*NN ) + 2*NN )
-         ELSE
-            CALL DSYMM(  'Left', UPLO, N, N, ONE,  DWORK( IABS+1 ), N,
-     $                   DWORK( IXMA+1 ), N, ZERO, DWORK( IXBS+1 ), N )
-            CALL MB01RY( 'Left', UPLO, TRANAT, N, ONE, EPST,
-     $                   DWORK( IRES+1 ), N, DWORK( IXMA+1 ), N,
-     $                   DWORK( IXBS+1 ), N, DWORK( IWRK+1 ), INFO2 )
-            WRKOPT = MAX( WRKOPT, MAX( 3, 2*NN ) + 2*NN + N )
-         END IF
-C
-C        Compute forward error bound, using matrix norm estimator.
-C        Workspace MAX(3,2*N*N) + N*N.
-C
-         XANORM = DLANSY( 'Max', UPLO, N, X, LDX, DWORK )
-C
-         CALL SB03SX( TRANA, UPLO, LYAPUN, N, XANORM, T, LDT, U, LDU,
-     $                DWORK( IRES+1 ), N, FERR, IWORK, DWORK( IXBS+1 ),
-     $                IXMA, INFO )
-      END IF
-C
-      DWORK( 1 ) = DBLE( WRKOPT )
-      RETURN
-C
-C *** Last line of SB02SD ***
-      END
--- a/extra/control-devel/devel/dksyn/SB03MV.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,295 +0,0 @@
-      SUBROUTINE SB03MV( LTRAN, LUPPER, T, LDT, B, LDB, SCALE, X, LDX,
-     $                   XNORM, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To solve for the 2-by-2 symmetric matrix X in
-C
-C            op(T)'*X*op(T) - X = SCALE*B,
-C
-C     where T is 2-by-2, B is symmetric 2-by-2, and op(T) = T or T',
-C     where T' denotes the transpose of T.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     LTRAN   LOGICAL
-C             Specifies the form of op(T) to be used, as follows:
-C             = .FALSE.:  op(T) = T,
-C             = .TRUE. :  op(T) = T'.
-C
-C     LUPPER  LOGICAL
-C             Specifies which triangle of the matrix B is used, and
-C             which triangle of the matrix X is computed, as follows:
-C             = .TRUE. :  The upper triangular part;
-C             = .FALSE.:  The lower triangular part.
-C
-C     Input/Output Parameters
-C
-C     T       (input) DOUBLE PRECISION array, dimension (LDT,2)
-C             The leading 2-by-2 part of this array must contain the
-C             matrix T.
-C
-C     LDT     INTEGER
-C             The leading dimension of array T.  LDT >= 2.
-C
-C     B       (input) DOUBLE PRECISION array, dimension (LDB,2)
-C             On entry with LUPPER = .TRUE., the leading 2-by-2 upper
-C             triangular part of this array must contain the upper
-C             triangular part of the symmetric matrix B and the strictly
-C             lower triangular part of B is not referenced.
-C             On entry with LUPPER = .FALSE., the leading 2-by-2 lower
-C             triangular part of this array must contain the lower
-C             triangular part of the symmetric matrix B and the strictly
-C             upper triangular part of B is not referenced.
-C
-C     LDB     INTEGER
-C             The leading dimension of array B.  LDB >= 2.
-C
-C     SCALE   (output) DOUBLE PRECISION
-C             The scale factor. SCALE is chosen less than or equal to 1
-C             to prevent the solution overflowing.
-C
-C     X       (output) DOUBLE PRECISION array, dimension (LDX,2)
-C             On exit with LUPPER = .TRUE., the leading 2-by-2 upper
-C             triangular part of this array contains the upper
-C             triangular part of the symmetric solution matrix X and the
-C             strictly lower triangular part of X is not referenced.
-C             On exit with LUPPER = .FALSE., the leading 2-by-2 lower
-C             triangular part of this array contains the lower
-C             triangular part of the symmetric solution matrix X and the
-C             strictly upper triangular part of X is not referenced.
-C             Note that X may be identified with B in the calling
-C             statement.
-C
-C     LDX     INTEGER
-C             The leading dimension of array X.  LDX >= 2.
-C
-C     XNORM   (output) DOUBLE PRECISION
-C             The infinity-norm of the solution.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             = 1:  if T has almost reciprocal eigenvalues, so T
-C                   is perturbed to get a nonsingular equation.
-C
-C             NOTE: In the interests of speed, this routine does not
-C                   check the inputs for errors.
-C
-C     METHOD
-C
-C     The equivalent linear algebraic system of equations is formed and
-C     solved using Gaussian elimination with complete pivoting.
-C
-C     REFERENCES
-C
-C     [1] Anderson, E., Bai, Z., Bischof, C., Demmel, J., Dongarra, J.,
-C         Du Croz, J., Greenbaum, A., Hammarling, S., McKenney, A.,
-C         Ostrouchov, S., and Sorensen, D.
-C         LAPACK Users' Guide: Second Edition.
-C         SIAM, Philadelphia, 1995.
-C
-C     NUMERICAL ASPECTS
-C
-C     The algorithm is stable and reliable, since Gaussian elimination
-C     with complete pivoting is used.
-C
-C     CONTRIBUTOR
-C
-C     Release 3.0: V. Sima, Katholieke Univ. Leuven, Belgium, May 1997.
-C     Based on DLALD2 by P. Petkov, Tech. University of Sofia, September
-C     1993.
-C
-C     REVISIONS
-C
-C     -
-C
-C     KEYWORDS
-C
-C     Discrete-time system, Lyapunov equation, matrix algebra.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE, TWO, FOUR
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0, TWO = 2.0D+0,
-     $                     FOUR = 4.0D+0 )
-C     ..
-C     .. Scalar Arguments ..
-      LOGICAL            LTRAN, LUPPER
-      INTEGER            INFO, LDB, LDT, LDX
-      DOUBLE PRECISION   SCALE, XNORM
-C     ..
-C     .. Array Arguments ..
-      DOUBLE PRECISION   B( LDB, * ), T( LDT, * ), X( LDX, * )
-C     ..
-C     .. Local Scalars ..
-      INTEGER            I, IP, IPSV, J, JP, JPSV, K
-      DOUBLE PRECISION   EPS, SMIN, SMLNUM, TEMP, XMAX
-C     ..
-C     .. Local Arrays ..
-      INTEGER            JPIV( 3 )
-      DOUBLE PRECISION   BTMP( 3 ), T9( 3, 3 ), TMP( 3 )
-C     ..
-C     .. External Functions ..
-      DOUBLE PRECISION   DLAMCH
-      EXTERNAL           DLAMCH
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DSWAP
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          ABS, MAX
-C     ..
-C     .. Executable Statements ..
-C
-C     Do not check the input parameters for errors.
-C
-      INFO = 0
-C
-C     Set constants to control overflow.
-C
-      EPS = DLAMCH( 'P' )
-      SMLNUM = DLAMCH( 'S' ) / EPS
-C
-C     Solve equivalent 3-by-3 system using complete pivoting.
-C     Set pivots less than SMIN to SMIN.
-C
-      SMIN = MAX( ABS( T( 1, 1 ) ), ABS( T( 1, 2 ) ),
-     $            ABS( T( 2, 1 ) ), ABS( T( 2, 2 ) ) )
-      SMIN = MAX( EPS*SMIN, SMLNUM )
-      T9( 1, 1 ) = T( 1, 1 )*T( 1, 1 ) - ONE
-      T9( 2, 2 ) = T( 1, 1 )*T( 2, 2 ) + T( 1, 2 )*T( 2, 1 ) - ONE
-      T9( 3, 3 ) = T( 2, 2 )*T( 2, 2 ) - ONE
-      IF( LTRAN ) THEN
-         T9( 1, 2 ) = T( 1, 1 )*T( 1, 2 ) + T( 1, 1 )*T( 1, 2 )
-         T9( 1, 3 ) = T( 1, 2 )*T( 1, 2 )
-         T9( 2, 1 ) = T( 1, 1 )*T( 2, 1 )
-         T9( 2, 3 ) = T( 1, 2 )*T( 2, 2 )
-         T9( 3, 1 ) = T( 2, 1 )*T( 2, 1 )
-         T9( 3, 2 ) = T( 2, 1 )*T( 2, 2 ) + T( 2, 1 )*T( 2, 2 )
-      ELSE
-         T9( 1, 2 ) = T( 1, 1 )*T( 2, 1 ) + T( 1, 1 )*T( 2, 1 )
-         T9( 1, 3 ) = T( 2, 1 )*T( 2, 1 )
-         T9( 2, 1 ) = T( 1, 1 )*T( 1, 2 )
-         T9( 2, 3 ) = T( 2, 1 )*T( 2, 2 )
-         T9( 3, 1 ) = T( 1, 2 )*T( 1, 2 )
-         T9( 3, 2 ) = T( 1, 2 )*T( 2, 2 ) + T( 1, 2 )*T( 2, 2 )
-      END IF
-      BTMP( 1 ) = B( 1, 1 )
-      IF ( LUPPER ) THEN
-         BTMP( 2 ) = B( 1, 2 )
-      ELSE
-         BTMP( 2 ) = B( 2, 1 )
-      END IF
-      BTMP( 3 ) = B( 2, 2 )
-C
-C     Perform elimination.
-C
-      DO 50 I = 1, 2
-         XMAX = ZERO
-C
-         DO 20 IP = I, 3
-C
-            DO 10 JP = I, 3
-               IF( ABS( T9( IP, JP ) ).GE.XMAX ) THEN
-                  XMAX = ABS( T9( IP, JP ) )
-                  IPSV = IP
-                  JPSV = JP
-               END IF
-   10       CONTINUE
-C
-   20    CONTINUE
-C
-         IF( IPSV.NE.I ) THEN
-            CALL DSWAP( 3, T9( IPSV, 1 ), 3, T9( I, 1 ), 3 )
-            TEMP = BTMP( I )
-            BTMP( I ) = BTMP( IPSV )
-            BTMP( IPSV ) = TEMP
-         END IF
-         IF( JPSV.NE.I )
-     $      CALL DSWAP( 3, T9( 1, JPSV ), 1, T9( 1, I ), 1 )
-         JPIV( I ) = JPSV
-         IF( ABS( T9( I, I ) ).LT.SMIN ) THEN
-            INFO = 1
-            T9( I, I ) = SMIN
-         END IF
-C
-         DO 40 J = I + 1, 3
-            T9( J, I ) = T9( J, I ) / T9( I, I )
-            BTMP( J ) = BTMP( J ) - T9( J, I )*BTMP( I )
-C
-            DO 30 K = I + 1, 3
-               T9( J, K ) = T9( J, K ) - T9( J, I )*T9( I, K )
-   30       CONTINUE
-C
-   40    CONTINUE
-C
-   50 CONTINUE
-C
-      IF( ABS( T9( 3, 3 ) ).LT.SMIN )
-     $   T9( 3, 3 ) = SMIN
-      SCALE = ONE
-      IF( ( FOUR*SMLNUM )*ABS( BTMP( 1 ) ).GT.ABS( T9( 1, 1 ) ) .OR.
-     $    ( FOUR*SMLNUM )*ABS( BTMP( 2 ) ).GT.ABS( T9( 2, 2 ) ) .OR.
-     $    ( FOUR*SMLNUM )*ABS( BTMP( 3 ) ).GT.ABS( T9( 3, 3 ) ) ) THEN
-         SCALE = ( ONE / FOUR ) / MAX( ABS( BTMP( 1 ) ),
-     $               ABS( BTMP( 2 ) ), ABS( BTMP( 3 ) ) )
-         BTMP( 1 ) = BTMP( 1 )*SCALE
-         BTMP( 2 ) = BTMP( 2 )*SCALE
-         BTMP( 3 ) = BTMP( 3 )*SCALE
-      END IF
-C
-      DO 70 I = 1, 3
-         K = 4 - I
-         TEMP = ONE / T9( K, K )
-         TMP( K ) = BTMP( K )*TEMP
-C
-         DO 60 J = K + 1, 3
-            TMP( K ) = TMP( K ) - ( TEMP*T9( K, J ) )*TMP( J )
-  60     CONTINUE
-C
-  70  CONTINUE
-C
-      DO 80 I = 1, 2
-         IF( JPIV( 3-I ).NE.3-I ) THEN
-            TEMP = TMP( 3-I )
-            TMP( 3-I ) = TMP( JPIV( 3-I ) )
-            TMP( JPIV( 3-I ) ) = TEMP
-         END IF
-  80  CONTINUE
-C
-      X( 1, 1 ) = TMP( 1 )
-      IF ( LUPPER ) THEN
-         X( 1, 2 ) = TMP( 2 )
-      ELSE
-         X( 2, 1 ) = TMP( 2 )
-      END IF
-      X( 2, 2 ) = TMP( 3 )
-      XNORM = MAX( ABS( TMP( 1 ) ) + ABS( TMP( 2 ) ),
-     $             ABS( TMP( 2 ) ) + ABS( TMP( 3 ) ) )
-C
-      RETURN
-C *** Last line of SB03MV ***
-      END
--- a/extra/control-devel/devel/dksyn/SB03MW.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,293 +0,0 @@
-      SUBROUTINE SB03MW( LTRAN, LUPPER, T, LDT, B, LDB, SCALE, X, LDX,
-     $                   XNORM, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To solve for the 2-by-2 symmetric matrix X in
-C
-C            op(T)'*X + X*op(T) = SCALE*B,
-C
-C     where T is 2-by-2, B is symmetric 2-by-2, and op(T) = T or T',
-C     where T' denotes the transpose of T.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     LTRAN   LOGICAL
-C             Specifies the form of op(T) to be used, as follows:
-C             = .FALSE.:  op(T) = T,
-C             = .TRUE. :  op(T) = T'.
-C
-C     LUPPER  LOGICAL
-C             Specifies which triangle of the matrix B is used, and
-C             which triangle of the matrix X is computed, as follows:
-C             = .TRUE. :  The upper triangular part;
-C             = .FALSE.:  The lower triangular part.
-C
-C     Input/Output Parameters
-C
-C     T       (input) DOUBLE PRECISION array, dimension (LDT,2)
-C             The leading 2-by-2 part of this array must contain the
-C             matrix T.
-C
-C     LDT     INTEGER
-C             The leading dimension of array T.  LDT >= 2.
-C
-C     B       (input) DOUBLE PRECISION array, dimension (LDB,2)
-C             On entry with LUPPER = .TRUE., the leading 2-by-2 upper
-C             triangular part of this array must contain the upper
-C             triangular part of the symmetric matrix B and the strictly
-C             lower triangular part of B is not referenced.
-C             On entry with LUPPER = .FALSE., the leading 2-by-2 lower
-C             triangular part of this array must contain the lower
-C             triangular part of the symmetric matrix B and the strictly
-C             upper triangular part of B is not referenced.
-C
-C     LDB     INTEGER
-C             The leading dimension of array B.  LDB >= 2.
-C
-C     SCALE   (output) DOUBLE PRECISION
-C             The scale factor. SCALE is chosen less than or equal to 1
-C             to prevent the solution overflowing.
-C
-C     X       (output) DOUBLE PRECISION array, dimension (LDX,2)
-C             On exit with LUPPER = .TRUE., the leading 2-by-2 upper
-C             triangular part of this array contains the upper
-C             triangular part of the symmetric solution matrix X and the
-C             strictly lower triangular part of X is not referenced.
-C             On exit with LUPPER = .FALSE., the leading 2-by-2 lower
-C             triangular part of this array contains the lower
-C             triangular part of the symmetric solution matrix X and the
-C             strictly upper triangular part of X is not referenced.
-C             Note that X may be identified with B in the calling
-C             statement.
-C
-C     LDX     INTEGER
-C             The leading dimension of array X.  LDX >= 2.
-C
-C     XNORM   (output) DOUBLE PRECISION
-C             The infinity-norm of the solution.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             = 1:  if T and -T have too close eigenvalues, so T
-C                   is perturbed to get a nonsingular equation.
-C
-C             NOTE: In the interests of speed, this routine does not
-C                   check the inputs for errors.
-C
-C     METHOD
-C
-C     The equivalent linear algebraic system of equations is formed and
-C     solved using Gaussian elimination with complete pivoting.
-C
-C     REFERENCES
-C
-C     [1] Anderson, E., Bai, Z., Bischof, C., Demmel, J., Dongarra, J.,
-C         Du Croz, J., Greenbaum, A., Hammarling, S., McKenney, A.,
-C         Ostrouchov, S., and Sorensen, D.
-C         LAPACK Users' Guide: Second Edition.
-C         SIAM, Philadelphia, 1995.
-C
-C     NUMERICAL ASPECTS
-C
-C     The algorithm is stable and reliable, since Gaussian elimination
-C     with complete pivoting is used.
-C
-C     CONTRIBUTOR
-C
-C     Release 3.0: V. Sima, Katholieke Univ. Leuven, Belgium, May 1997.
-C     Based on DLALY2 by P. Petkov, Tech. University of Sofia, September
-C     1993.
-C
-C     REVISIONS
-C
-C     -
-C
-C     KEYWORDS
-C
-C     Continuous-time system, Lyapunov equation, matrix algebra.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE, TWO, FOUR
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0, TWO = 2.0D+0,
-     $                     FOUR = 4.0D+0 )
-C     ..
-C     .. Scalar Arguments ..
-      LOGICAL            LTRAN, LUPPER
-      INTEGER            INFO, LDB, LDT, LDX
-      DOUBLE PRECISION   SCALE, XNORM
-C     ..
-C     .. Array Arguments ..
-      DOUBLE PRECISION   B( LDB, * ), T( LDT, * ), X( LDX, * )
-C     ..
-C     .. Local Scalars ..
-      INTEGER            I, IP, IPSV, J, JP, JPSV, K
-      DOUBLE PRECISION   EPS, SMIN, SMLNUM, TEMP, XMAX
-C     ..
-C     .. Local Arrays ..
-      INTEGER            JPIV( 3 )
-      DOUBLE PRECISION   BTMP( 3 ), T9( 3, 3 ), TMP( 3 )
-C     ..
-C     .. External Functions ..
-      DOUBLE PRECISION   DLAMCH
-      EXTERNAL           DLAMCH
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DSWAP
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          ABS, MAX
-C     ..
-C     .. Executable Statements ..
-C
-C     Do not check the input parameters for errors
-C
-      INFO = 0
-C
-C     Set constants to control overflow
-C
-      EPS = DLAMCH( 'P' )
-      SMLNUM = DLAMCH( 'S' ) / EPS
-C
-C     Solve equivalent 3-by-3 system using complete pivoting.
-C     Set pivots less than SMIN to SMIN.
-C
-      SMIN = MAX( MAX( ABS( T( 1, 1 ) ), ABS( T( 1, 2 ) ),
-     $                 ABS( T( 2, 1 ) ), ABS( T( 2, 2 ) ) )*EPS,
-     $            SMLNUM )
-      T9( 1, 3 ) = ZERO
-      T9( 3, 1 ) = ZERO
-      T9( 1, 1 ) = T( 1, 1 )
-      T9( 2, 2 ) = T( 1, 1 ) + T( 2, 2 )
-      T9( 3, 3 ) = T( 2, 2 )
-      IF( LTRAN ) THEN
-         T9( 1, 2 ) = T( 1, 2 )
-         T9( 2, 1 ) = T( 2, 1 )
-         T9( 2, 3 ) = T( 1, 2 )
-         T9( 3, 2 ) = T( 2, 1 )
-      ELSE
-         T9( 1, 2 ) = T( 2, 1 )
-         T9( 2, 1 ) = T( 1, 2 )
-         T9( 2, 3 ) = T( 2, 1 )
-         T9( 3, 2 ) = T( 1, 2 )
-      END IF
-      BTMP( 1 ) = B( 1, 1 )/TWO
-      IF ( LUPPER ) THEN
-         BTMP( 2 ) = B( 1, 2 )
-      ELSE
-         BTMP( 2 ) = B( 2, 1 )
-      END IF
-      BTMP( 3 ) = B( 2, 2 )/TWO
-C
-C     Perform elimination
-C
-      DO 50 I = 1, 2
-         XMAX = ZERO
-C
-         DO 20 IP = I, 3
-C
-            DO 10 JP = I, 3
-               IF( ABS( T9( IP, JP ) ).GE.XMAX ) THEN
-                  XMAX = ABS( T9( IP, JP ) )
-                  IPSV = IP
-                  JPSV = JP
-               END IF
-   10       CONTINUE
-C
-   20    CONTINUE
-C
-         IF( IPSV.NE.I ) THEN
-            CALL DSWAP( 3, T9( IPSV, 1 ), 3, T9( I, 1 ), 3 )
-            TEMP = BTMP( I )
-            BTMP( I ) = BTMP( IPSV )
-            BTMP( IPSV ) = TEMP
-         END IF
-         IF( JPSV.NE.I )
-     $      CALL DSWAP( 3, T9( 1, JPSV ), 1, T9( 1, I ), 1 )
-         JPIV( I ) = JPSV
-         IF( ABS( T9( I, I ) ).LT.SMIN ) THEN
-            INFO = 1
-            T9( I, I ) = SMIN
-         END IF
-C
-         DO 40 J = I + 1, 3
-            T9( J, I ) = T9( J, I ) / T9( I, I )
-            BTMP( J ) = BTMP( J ) - T9( J, I )*BTMP( I )
-C
-            DO 30 K = I + 1, 3
-               T9( J, K ) = T9( J, K ) - T9( J, I )*T9( I, K )
-   30       CONTINUE
-C
-   40    CONTINUE
-C
-   50 CONTINUE
-C
-      IF( ABS( T9( 3, 3 ) ).LT.SMIN )
-     $   T9( 3, 3 ) = SMIN
-      SCALE = ONE
-      IF( ( FOUR*SMLNUM )*ABS( BTMP( 1 ) ).GT.ABS( T9( 1, 1 ) ) .OR.
-     $    ( FOUR*SMLNUM )*ABS( BTMP( 2 ) ).GT.ABS( T9( 2, 2 ) ) .OR.
-     $    ( FOUR*SMLNUM )*ABS( BTMP( 3 ) ).GT.ABS( T9( 3, 3 ) ) ) THEN
-         SCALE = ( ONE / FOUR ) / MAX( ABS( BTMP( 1 ) ),
-     $               ABS( BTMP( 2 ) ), ABS( BTMP( 3 ) ) )
-         BTMP( 1 ) = BTMP( 1 )*SCALE
-         BTMP( 2 ) = BTMP( 2 )*SCALE
-         BTMP( 3 ) = BTMP( 3 )*SCALE
-      END IF
-C
-      DO 70 I = 1, 3
-         K = 4 - I
-         TEMP = ONE / T9( K, K )
-         TMP( K ) = BTMP( K )*TEMP
-C
-         DO 60 J = K + 1, 3
-            TMP( K ) = TMP( K ) - ( TEMP*T9( K, J ) )*TMP( J )
-  60     CONTINUE
-C
-  70  CONTINUE
-C
-      DO 80 I = 1, 2
-         IF( JPIV( 3-I ).NE.3-I ) THEN
-            TEMP = TMP( 3-I )
-            TMP( 3-I ) = TMP( JPIV( 3-I ) )
-            TMP( JPIV( 3-I ) ) = TEMP
-         END IF
-  80  CONTINUE
-C
-      X( 1, 1 ) = TMP( 1 )
-      IF ( LUPPER ) THEN
-         X( 1, 2 ) = TMP( 2 )
-      ELSE
-         X( 2, 1 ) = TMP( 2 )
-      END IF
-      X( 2, 2 ) = TMP( 3 )
-      XNORM = MAX( ABS( TMP( 1 ) ) + ABS( TMP( 2 ) ),
-     $             ABS( TMP( 2 ) ) + ABS( TMP( 3 ) ) )
-C
-      RETURN
-C *** Last line of SB03MW ***
-      END
--- a/extra/control-devel/devel/dksyn/SB03MX.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,711 +0,0 @@
-      SUBROUTINE SB03MX( TRANA, N, A, LDA, C, LDC, SCALE, DWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To solve the real discrete Lyapunov matrix equation
-C
-C            op(A)'*X*op(A) - X = scale*C
-C
-C     where op(A) = A or A' (A**T), A is upper quasi-triangular and C is
-C     symmetric (C = C'). (A' denotes the transpose of the matrix A.)
-C     A is N-by-N, the right hand side C and the solution X are N-by-N,
-C     and scale is an output scale factor, set less than or equal to 1
-C     to avoid overflow in X. The solution matrix X is overwritten
-C     onto C.
-C
-C     A must be in Schur canonical form (as returned by LAPACK routines
-C     DGEES or DHSEQR), that is, block upper triangular with 1-by-1 and
-C     2-by-2 diagonal blocks; each 2-by-2 diagonal block has its
-C     diagonal elements equal and its off-diagonal elements of opposite
-C     sign.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     TRANA   CHARACTER*1
-C             Specifies the form of op(A) to be used, as follows:
-C             = 'N':  op(A) = A    (No transpose);
-C             = 'T':  op(A) = A**T (Transpose);
-C             = 'C':  op(A) = A**T (Conjugate transpose = Transpose).
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the matrices A, X, and C.  N >= 0.
-C
-C     A       (input) DOUBLE PRECISION array, dimension (LDA,N)
-C             The leading N-by-N part of this array must contain the
-C             upper quasi-triangular matrix A, in Schur canonical form.
-C             The part of A below the first sub-diagonal is not
-C             referenced.
-C
-C     LDA     INTEGER
-C             The leading dimension of array A.  LDA >= MAX(1,N).
-C
-C     C       (input/output) DOUBLE PRECISION array, dimension (LDC,N)
-C             On entry, the leading N-by-N part of this array must
-C             contain the symmetric matrix C.
-C             On exit, if INFO >= 0, the leading N-by-N part of this
-C             array contains the symmetric solution matrix X.
-C
-C     LDC     INTEGER
-C             The leading dimension of array C.  LDC >= MAX(1,N).
-C
-C     SCALE   (output) DOUBLE PRECISION
-C             The scale factor, scale, set less than or equal to 1 to
-C             prevent the solution overflowing.
-C
-C     Workspace
-C
-C     DWORK   DOUBLE PRECISION array, dimension (2*N)
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = 1:  if A has almost reciprocal eigenvalues; perturbed
-C                   values were used to solve the equation (but the
-C                   matrix A is unchanged).
-C
-C     METHOD
-C
-C     A discrete-time version of the Bartels-Stewart algorithm is used.
-C     A set of equivalent linear algebraic systems of equations of order
-C     at most four are formed and solved using Gaussian elimination with
-C     complete pivoting.
-C
-C     REFERENCES
-C
-C     [1] Barraud, A.Y.                   T
-C         A numerical algorithm to solve A XA - X = Q.
-C         IEEE Trans. Auto. Contr., AC-22, pp. 883-885, 1977.
-C
-C     [2] Bartels, R.H. and Stewart, G.W.  T
-C         Solution of the matrix equation A X + XB = C.
-C         Comm. A.C.M., 15, pp. 820-826, 1972.
-C
-C     NUMERICAL ASPECTS
-C                               3
-C     The algorithm requires 0(N ) operations.
-C
-C     CONTRIBUTOR
-C
-C     Release 3.0: V. Sima, Katholieke Univ. Leuven, Belgium, May 1997.
-C     Supersedes Release 2.0 routine SB03AZ by Control Systems Research
-C     Group, Kingston Polytechnic, United Kingdom, October 1982.
-C     Based on DTRLPD by P. Petkov, Tech. University of Sofia, September
-C     1993.
-C
-C     REVISIONS
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, May 1999.
-C     V. Sima, Research Institute for Informatics, Bucharest, Apr. 2000.
-C     A. Varga, DLR Oberpfaffenhofen, March 2002.
-C
-C     KEYWORDS
-C
-C     Discrete-time system, Lyapunov equation, matrix algebra, real
-C     Schur form.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0 )
-C     ..
-C     .. Scalar Arguments ..
-      CHARACTER          TRANA
-      INTEGER            INFO, LDA, LDC, N
-      DOUBLE PRECISION   SCALE
-C     ..
-C     .. Array Arguments ..
-      DOUBLE PRECISION   A( LDA, * ), C( LDC, * ), DWORK( * )
-C     ..
-C     .. Local Scalars ..
-      LOGICAL            NOTRNA, LUPPER
-      INTEGER            IERR, J, K, K1, K2, KNEXT, L, L1, L2, LNEXT,
-     $                   MINK1N, MINK2N, MINL1N, MINL2N, NP1
-      DOUBLE PRECISION   A11, BIGNUM, DA11, DB, EPS, P11, P12, P21, P22,
-     $                   SCALOC, SMIN, SMLNUM, XNORM
-C     ..
-C     .. Local Arrays ..
-      DOUBLE PRECISION   VEC( 2, 2 ), X( 2, 2 )
-C     ..
-C     .. External Functions ..
-      LOGICAL            LSAME
-      DOUBLE PRECISION   DDOT, DLAMCH, DLANHS
-      EXTERNAL           DDOT, DLAMCH, DLANHS, LSAME
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DLABAD, DLALN2, DSCAL, DSYMV, SB03MV, SB04PX,
-     $                   XERBLA
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          ABS, DBLE, MAX, MIN
-C     ..
-C     .. Executable Statements ..
-C
-C     Decode and Test input parameters.
-C
-      NOTRNA = LSAME( TRANA, 'N' )
-      LUPPER = .TRUE.
-C
-      INFO = 0
-      IF( .NOT.NOTRNA .AND. .NOT.LSAME( TRANA, 'T' ) .AND.
-     $                      .NOT.LSAME( TRANA, 'C' ) ) THEN
-         INFO = -1
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -4
-      ELSE IF( LDC.LT.MAX( 1, N ) ) THEN
-         INFO = -6
-      END IF
-C
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'SB03MX', -INFO )
-         RETURN
-      END IF
-C
-      SCALE = ONE
-C
-C     Quick return if possible.
-C
-      IF( N.EQ.0 )
-     $   RETURN
-C
-C     Set constants to control overflow.
-C
-      EPS = DLAMCH( 'P' )
-      SMLNUM = DLAMCH( 'S' )
-      BIGNUM = ONE / SMLNUM
-      CALL DLABAD( SMLNUM, BIGNUM )
-      SMLNUM = SMLNUM*DBLE( N*N ) / EPS
-      BIGNUM = ONE / SMLNUM
-C
-      SMIN = MAX( SMLNUM, EPS*DLANHS( 'Max', N, A, LDA, DWORK ) )
-      NP1  = N + 1
-C
-      IF( NOTRNA ) THEN
-C
-C        Solve    A'*X*A - X = scale*C.
-C
-C        The (K,L)th block of X is determined starting from
-C        upper-left corner column by column by
-C
-C          A(K,K)'*X(K,L)*A(L,L) - X(K,L) = C(K,L) - R(K,L),
-C
-C        where
-C                    K           L-1
-C          R(K,L) = SUM {A(I,K)'*SUM [X(I,J)*A(J,L)]} +
-C                   I=1          J=1
-C
-C                    K-1
-C                   {SUM [A(I,K)'*X(I,L)]}*A(L,L).
-C                    I=1
-C
-C        Start column loop (index = L).
-C        L1 (L2): column index of the first (last) row of X(K,L).
-C
-         LNEXT = 1
-C
-         DO 60 L = 1, N
-            IF( L.LT.LNEXT )
-     $         GO TO 60
-            L1 = L
-            L2 = L
-            IF( L.LT.N ) THEN
-               IF( A( L+1, L ).NE.ZERO )
-     $            L2 = L2 + 1
-               LNEXT = L2 + 1
-            END IF
-C
-C           Start row loop (index = K).
-C           K1 (K2): row index of the first (last) row of X(K,L).
-C
-            DWORK( L1 )   = ZERO
-            DWORK( N+L1 ) = ZERO
-            CALL DSYMV( 'Lower', L1-1, ONE, C, LDC, A( 1, L1 ), 1, ZERO,
-     $                  DWORK, 1 )
-            CALL DSYMV( 'Lower', L1-1, ONE, C, LDC, A( 1, L2 ), 1, ZERO,
-     $                  DWORK( NP1 ), 1 )
-C
-            KNEXT = L
-C
-            DO 50 K = L, N
-               IF( K.LT.KNEXT )
-     $            GO TO 50
-               K1 = K
-               K2 = K
-               IF( K.LT.N ) THEN
-                  IF( A( K+1, K ).NE.ZERO )
-     $               K2 = K2 + 1
-                  KNEXT = K2 + 1
-               END IF
-C
-               IF( L1.EQ.L2 .AND. K1.EQ.K2 ) THEN
-                  DWORK( K1 ) = DDOT( L1-1, C( K1, 1 ), LDC, A( 1, L1 ),
-     $                                1 )
-C
-                  VEC( 1, 1 ) = C( K1, L1 ) -
-     $               ( DDOT( K1, A( 1, K1 ), 1, DWORK, 1 ) + A( L1, L1 )
-     $                *DDOT( K1-1, A( 1, K1 ), 1, C( 1, L1 ), 1 ) )
-                  SCALOC = ONE
-C
-                  A11 = A( K1, K1 )*A( L1, L1 ) - ONE
-                  DA11 = ABS( A11 )
-                  IF( DA11.LE.SMIN ) THEN
-                     A11 = SMIN
-                     DA11 = SMIN
-                     INFO = 1
-                  END IF
-                  DB = ABS( VEC( 1, 1 ) )
-                  IF( DA11.LT.ONE .AND. DB.GT.ONE ) THEN
-                     IF( DB.GT.BIGNUM*DA11 )
-     $                  SCALOC = ONE / DB
-                  END IF
-                  X( 1, 1 ) = ( VEC( 1, 1 )*SCALOC ) / A11
-C
-                  IF( SCALOC.NE.ONE ) THEN
-C
-                     DO 10 J = 1, N
-                        CALL DSCAL( N, SCALOC, C( 1, J ), 1 )
-   10                CONTINUE
-C
-                     CALL DSCAL( N, SCALOC, DWORK, 1 )
-                     SCALE = SCALE*SCALOC
-                  END IF
-                  C( K1, L1 ) = X( 1, 1 )
-                  IF( K1.NE.L1 ) THEN
-                     C( L1, K1 ) = X( 1, 1 )
-                  END IF
-C
-               ELSE IF( L1.EQ.L2 .AND. K1.NE.K2 ) THEN
-C
-                  DWORK( K1 ) = DDOT( L1-1, C( K1, 1 ), LDC, A( 1, L1 ),
-     $                                1 )
-                  DWORK( K2 ) = DDOT( L1-1, C( K2, 1 ), LDC, A( 1, L1 ),
-     $                                1 )
-C
-                  VEC( 1, 1 ) = C( K1, L1 ) -
-     $               ( DDOT( K2, A( 1, K1 ), 1, DWORK, 1 ) + A( L1, L1 )
-     $                *DDOT( K1-1, A( 1, K1 ), 1, C( 1, L1 ), 1 ) )
-C
-                  VEC( 2, 1 ) = C( K2, L1 ) -
-     $               ( DDOT( K2, A( 1, K2 ), 1, DWORK, 1 ) + A( L1, L1 )
-     $                *DDOT( K1-1, A( 1, K2 ), 1, C( 1, L1 ), 1 ) )
-C
-                  CALL DLALN2( .TRUE., 2, 1, SMIN, A( L1, L1 ),
-     $                         A( K1, K1 ), LDA, ONE, ONE, VEC, 2, ONE,
-     $                         ZERO, X, 2, SCALOC, XNORM, IERR )
-                  IF( IERR.NE.0 )
-     $               INFO = 1
-C
-                  IF( SCALOC.NE.ONE ) THEN
-C
-                     DO 20 J = 1, N
-                        CALL DSCAL( N, SCALOC, C( 1, J ), 1 )
-   20                CONTINUE
-C
-                     CALL DSCAL( N, SCALOC, DWORK, 1 )
-                     SCALE = SCALE*SCALOC
-                  END IF
-                  C( K1, L1 ) = X( 1, 1 )
-                  C( K2, L1 ) = X( 2, 1 )
-                  C( L1, K1 ) = X( 1, 1 )
-                  C( L1, K2 ) = X( 2, 1 )
-C
-               ELSE IF( L1.NE.L2 .AND. K1.EQ.K2 ) THEN
-C
-                  DWORK( K1 ) = DDOT( L1-1, C( K1, 1 ), LDC, A( 1, L1 ),
-     $                                1 )
-                  DWORK( N+K1 ) = DDOT( L1-1, C( K1, 1 ), LDC,
-     $                                  A( 1, L2 ), 1 )
-                  P11 = DDOT( K1-1, A( 1, K1 ), 1, C( 1, L1 ), 1 )
-                  P12 = DDOT( K1-1, A( 1, K1 ), 1, C( 1, L2 ), 1 )
-C
-                  VEC( 1, 1 ) = C( K1, L1 ) -
-     $               ( DDOT( K1, A( 1, K1 ), 1, DWORK, 1 ) +
-     $                 P11*A( L1, L1 ) + P12*A( L2, L1 ) )
-C
-                  VEC( 2, 1 ) = C( K1, L2 ) -
-     $               ( DDOT( K1, A( 1, K1 ), 1, DWORK( NP1 ), 1 ) +
-     $                 P11*A( L1, L2 ) + P12*A( L2, L2 ) )
-C
-                  CALL DLALN2( .TRUE., 2, 1, SMIN, A( K1, K1 ),
-     $                         A( L1, L1 ), LDA, ONE, ONE, VEC, 2, ONE,
-     $                         ZERO, X, 2, SCALOC, XNORM, IERR )
-                  IF( IERR.NE.0 )
-     $               INFO = 1
-C
-                  IF( SCALOC.NE.ONE ) THEN
-C
-                     DO 30 J = 1, N
-                        CALL DSCAL( N, SCALOC, C( 1, J ), 1 )
-   30                CONTINUE
-C
-                     CALL DSCAL( N, SCALOC, DWORK, 1 )
-                     CALL DSCAL( N, SCALOC, DWORK( NP1 ), 1 )
-                     SCALE = SCALE*SCALOC
-                  END IF
-                  C( K1, L1 ) = X( 1, 1 )
-                  C( K1, L2 ) = X( 2, 1 )
-                  C( L1, K1 ) = X( 1, 1 )
-                  C( L2, K1 ) = X( 2, 1 )
-C
-               ELSE IF( L1.NE.L2 .AND. K1.NE.K2 ) THEN
-C
-                  DWORK( K1 ) = DDOT( L1-1, C( K1, 1 ), LDC, A( 1, L1 ),
-     $                                1 )
-                  DWORK( K2 ) = DDOT( L1-1, C( K2, 1 ), LDC, A( 1, L1 ),
-     $                                1 )
-                  DWORK( N+K1 ) = DDOT( L1-1, C( K1, 1 ), LDC,
-     $                                  A( 1, L2 ), 1 )
-                  DWORK( N+K2 ) = DDOT( L1-1, C( K2, 1 ), LDC,
-     $                                  A( 1, L2 ), 1 )
-                  P11 = DDOT( K1-1, A( 1, K1 ), 1, C( 1, L1 ), 1 )
-                  P12 = DDOT( K1-1, A( 1, K1 ), 1, C( 1, L2 ), 1 )
-                  P21 = DDOT( K1-1, A( 1, K2 ), 1, C( 1, L1 ), 1 )
-                  P22 = DDOT( K1-1, A( 1, K2 ), 1, C( 1, L2 ), 1 )
-C
-                  VEC( 1, 1 ) = C( K1, L1 ) -
-     $               ( DDOT( K2, A( 1, K1 ), 1, DWORK, 1 ) +
-     $                 P11*A( L1, L1 ) + P12*A( L2, L1 ) )
-C
-                  VEC( 1, 2 ) = C( K1, L2 ) -
-     $               ( DDOT( K2, A( 1, K1 ), 1, DWORK( NP1 ), 1 ) +
-     $                 P11*A( L1, L2 ) + P12*A( L2, L2 ) )
-C
-                  VEC( 2, 1 ) = C( K2, L1 ) -
-     $               ( DDOT( K2, A( 1, K2 ), 1, DWORK, 1 ) +
-     $                 P21*A( L1, L1 ) + P22*A( L2, L1 ) )
-C
-                  VEC( 2, 2 ) = C( K2, L2 ) -
-     $               ( DDOT( K2, A( 1, K2 ), 1, DWORK( NP1 ), 1 ) +
-     $                 P21*A( L1, L2 ) + P22*A( L2, L2 ) )
-C
-                  IF( K1.EQ.L1 ) THEN
-                     CALL SB03MV( .FALSE., LUPPER, A( K1, K1 ), LDA,
-     $                            VEC, 2, SCALOC, X, 2, XNORM, IERR )
-                     IF( LUPPER ) THEN
-                        X( 2, 1 ) = X( 1, 2 )
-                     ELSE
-                        X( 1, 2 ) = X( 2, 1 )
-                     END IF
-                  ELSE
-                     CALL SB04PX( .TRUE., .FALSE., -1, 2, 2,
-     $                            A( K1, K1 ), LDA, A( L1, L1 ), LDA,
-     $                            VEC, 2, SCALOC, X, 2, XNORM, IERR )
-                  END IF
-                  IF( IERR.NE.0 )
-     $               INFO = 1
-C
-                  IF( SCALOC.NE.ONE ) THEN
-C
-                     DO 40 J = 1, N
-                        CALL DSCAL( N, SCALOC, C( 1, J ), 1 )
-   40                CONTINUE
-C
-                     CALL DSCAL( N, SCALOC, DWORK, 1 )
-                     CALL DSCAL( N, SCALOC, DWORK( NP1 ), 1 )
-                     SCALE = SCALE*SCALOC
-                  END IF
-                  C( K1, L1 ) = X( 1, 1 )
-                  C( K1, L2 ) = X( 1, 2 )
-                  C( K2, L1 ) = X( 2, 1 )
-                  C( K2, L2 ) = X( 2, 2 )
-                  IF( K1.NE.L1 ) THEN
-                     C( L1, K1 ) = X( 1, 1 )
-                     C( L2, K1 ) = X( 1, 2 )
-                     C( L1, K2 ) = X( 2, 1 )
-                     C( L2, K2 ) = X( 2, 2 )
-                  END IF
-               END IF
-C
-   50       CONTINUE
-C
-   60    CONTINUE
-C
-      ELSE
-C
-C        Solve    A*X*A' - X = scale*C.
-C
-C        The (K,L)th block of X is determined starting from
-C        bottom-right corner column by column by
-C
-C            A(K,K)*X(K,L)*A(L,L)' - X(K,L) = C(K,L) - R(K,L),
-C
-C        where
-C
-C                    N            N
-C          R(K,L) = SUM {A(K,I)* SUM [X(I,J)*A(L,J)']} +
-C                   I=K         J=L+1
-C
-C                      N
-C                   { SUM [A(K,J)*X(J,L)]}*A(L,L)'
-C                    J=K+1
-C
-C        Start column loop (index = L)
-C        L1 (L2): column index of the first (last) row of X(K,L)
-C
-         LNEXT = N
-C
-         DO 120 L = N, 1, -1
-            IF( L.GT.LNEXT )
-     $         GO TO 120
-            L1 = L
-            L2 = L
-            IF( L.GT.1 ) THEN
-               IF( A( L, L-1 ).NE.ZERO ) THEN
-                  L1 = L1 - 1
-                  DWORK( L1 ) = ZERO
-                  DWORK( N+L1 ) = ZERO
-               END IF
-               LNEXT = L1 - 1
-            END IF
-            MINL1N = MIN( L1+1, N )
-            MINL2N = MIN( L2+1, N )
-C
-C           Start row loop (index = K)
-C           K1 (K2): row index of the first (last) row of X(K,L)
-C
-            IF( L2.LT.N ) THEN
-               CALL DSYMV( 'Upper', N-L2, ONE, C( L2+1, L2+1 ), LDC,
-     $                     A( L1, L2+1 ), LDA, ZERO, DWORK( L2+1 ), 1 )
-               CALL DSYMV( 'Upper', N-L2, ONE, C( L2+1, L2+1 ), LDC,
-     $                     A( L2, L2+1 ), LDA, ZERO, DWORK( NP1+L2 ), 1)
-            END IF
-C
-            KNEXT = L
-C
-            DO 110 K = L, 1, -1
-               IF( K.GT.KNEXT )
-     $            GO TO 110
-               K1 = K
-               K2 = K
-               IF( K.GT.1 ) THEN
-                  IF( A( K, K-1 ).NE.ZERO )
-     $               K1 = K1 - 1
-                  KNEXT = K1 - 1
-               END IF
-               MINK1N = MIN( K1+1, N )
-               MINK2N = MIN( K2+1, N )
-C
-               IF( L1.EQ.L2 .AND. K1.EQ.K2 ) THEN
-                  DWORK( K1 ) = DDOT( N-L1, C( K1, MINL1N ), LDC,
-     $                                A( L1, MINL1N ), LDA )
-C
-                  VEC( 1, 1 ) = C( K1, L1 ) -
-     $               ( DDOT( N-K1+1, A( K1, K1 ), LDA, DWORK( K1 ), 1 )
-     $               + DDOT( N-K1, A( K1, MINK1N ), LDA,
-     $                       C( MINK1N, L1 ), 1 )*A( L1, L1 ) )
-                  SCALOC = ONE
-C
-                  A11 = A( K1, K1 )*A( L1, L1 ) - ONE
-                  DA11 = ABS( A11 )
-                  IF( DA11.LE.SMIN ) THEN
-                     A11 = SMIN
-                     DA11 = SMIN
-                     INFO = 1
-                  END IF
-                  DB = ABS( VEC( 1, 1 ) )
-                  IF( DA11.LT.ONE .AND. DB.GT.ONE ) THEN
-                     IF( DB.GT.BIGNUM*DA11 )
-     $                  SCALOC = ONE / DB
-                  END IF
-                  X( 1, 1 ) = ( VEC( 1, 1 )*SCALOC ) / A11
-C
-                  IF( SCALOC.NE.ONE ) THEN
-C
-                     DO 70 J = 1, N
-                        CALL DSCAL( N, SCALOC, C( 1, J ), 1 )
-   70                CONTINUE
-C
-                     CALL DSCAL( N, SCALOC, DWORK, 1 )
-                     SCALE = SCALE*SCALOC
-                  END IF
-                  C( K1, L1 ) = X( 1, 1 )
-                  IF( K1.NE.L1 ) THEN
-                     C( L1, K1 ) = X( 1, 1 )
-                  END IF
-C
-               ELSE IF( L1.EQ.L2 .AND. K1.NE.K2 ) THEN
-C
-                  DWORK( K1 ) = DDOT( N-L1, C( K1, MINL1N ), LDC,
-     $                                A( L1, MINL1N ), LDA )
-                  DWORK( K2 ) = DDOT( N-L1, C( K2, MINL1N ), LDC,
-     $                                A( L1, MINL1N ), LDA )
-C
-                  VEC( 1, 1 ) = C( K1, L1 ) -
-     $               ( DDOT( NP1-K1, A( K1, K1 ), LDA, DWORK( K1 ), 1 )
-     $               + DDOT( N-K2, A( K1, MINK2N ), LDA,
-     $                       C( MINK2N, L1 ), 1 )*A( L1, L1 ) )
-C
-                  VEC( 2, 1 ) = C( K2, L1 ) -
-     $               ( DDOT( NP1-K1, A( K2, K1 ), LDA, DWORK( K1 ), 1 )
-     $               + DDOT( N-K2, A( K2, MINK2N ), LDA,
-     $                       C( MINK2N, L1 ), 1 )*A( L1, L1 ) )
-C
-                  CALL DLALN2( .FALSE., 2, 1, SMIN, A( L1, L1 ),
-     $                         A( K1, K1 ), LDA, ONE, ONE, VEC, 2, ONE,
-     $                         ZERO, X, 2, SCALOC, XNORM, IERR )
-                  IF( IERR.NE.0 )
-     $               INFO = 1
-C
-                  IF( SCALOC.NE.ONE ) THEN
-C
-                     DO 80 J = 1, N
-                        CALL DSCAL( N, SCALOC, C( 1, J ), 1 )
-   80                CONTINUE
-C
-                     CALL DSCAL( N, SCALOC, DWORK, 1 )
-                     SCALE = SCALE*SCALOC
-                  END IF
-                  C( K1, L1 ) = X( 1, 1 )
-                  C( K2, L1 ) = X( 2, 1 )
-                  C( L1, K1 ) = X( 1, 1 )
-                  C( L1, K2 ) = X( 2, 1 )
-C
-               ELSE IF( L1.NE.L2 .AND. K1.EQ.K2 ) THEN
-C
-                  DWORK( K1 ) = DDOT( N-L2, C( K1, MINL2N ), LDC,
-     $                                A( L1, MINL2N ), LDA )
-                  DWORK( N+K1 ) = DDOT( N-L2, C( K1, MINL2N ), LDC,
-     $                                  A( L2, MINL2N ), LDA )
-                  P11 = DDOT( N-K1, A( K1, MINK1N ), LDA,
-     $                        C( MINK1N, L1 ), 1 )
-                  P12 = DDOT( N-K1, A( K1, MINK1N ), LDA,
-     $                        C( MINK1N, L2 ), 1 )
-C
-                  VEC( 1, 1 ) = C( K1, L1 ) -
-     $               ( DDOT( NP1-K1, A( K1, K1 ), LDA, DWORK( K1 ), 1 )
-     $               + P11*A( L1, L1 ) + P12*A( L1, L2 ) )
-C
-                  VEC( 2, 1 ) = C( K1, L2 ) -
-     $               ( DDOT( NP1-K1, A( K1, K1 ), LDA, DWORK( N+K1 ), 1)
-     $               + P11*A( L2, L1 ) + P12*A( L2, L2 ) )
-C
-                  CALL DLALN2( .FALSE., 2, 1, SMIN, A( K1, K1 ),
-     $                         A( L1, L1 ), LDA, ONE, ONE, VEC, 2, ONE,
-     $                         ZERO, X, 2, SCALOC, XNORM, IERR )
-                  IF( IERR.NE.0 )
-     $               INFO = 1
-C
-                  IF( SCALOC.NE.ONE ) THEN
-C
-                     DO 90 J = 1, N
-                        CALL DSCAL( N, SCALOC, C( 1, J ), 1 )
-   90                CONTINUE
-C
-                     CALL DSCAL( N, SCALOC, DWORK, 1 )
-                     CALL DSCAL( N, SCALOC, DWORK( NP1 ), 1 )
-                     SCALE = SCALE*SCALOC
-                  END IF
-                  C( K1, L1 ) = X( 1, 1 )
-                  C( K1, L2 ) = X( 2, 1 )
-                  C( L1, K1 ) = X( 1, 1 )
-                  C( L2, K1 ) = X( 2, 1 )
-C
-               ELSE IF( L1.NE.L2 .AND. K1.NE.K2 ) THEN
-C
-                  DWORK( K1 ) = DDOT( N-L2, C( K1, MINL2N ), LDC,
-     $                                A( L1, MINL2N ), LDA )
-                  DWORK( K2 ) = DDOT( N-L2, C( K2, MINL2N ), LDC,
-     $                                A( L1, MINL2N ), LDA )
-                  DWORK( N+K1 ) = DDOT( N-L2, C( K1, MINL2N ), LDC,
-     $                                  A( L2, MINL2N ), LDA )
-                  DWORK( N+K2 ) = DDOT( N-L2, C( K2, MINL2N ), LDC,
-     $                                  A( L2, MINL2N ), LDA )
-                  P11 = DDOT( N-K2, A( K1, MINK2N ), LDA,
-     $                        C( MINK2N, L1 ), 1 )
-                  P12 = DDOT( N-K2, A( K1, MINK2N ), LDA,
-     $                        C( MINK2N, L2 ), 1 )
-                  P21 = DDOT( N-K2, A( K2, MINK2N ), LDA,
-     $                        C( MINK2N, L1 ), 1 )
-                  P22 = DDOT( N-K2, A( K2, MINK2N ), LDA,
-     $                        C( MINK2N, L2 ), 1 )
-C
-                  VEC( 1, 1 ) = C( K1, L1 ) -
-     $               ( DDOT( NP1-K1, A( K1, K1 ), LDA, DWORK( K1 ), 1 )
-     $               + P11*A( L1, L1 ) + P12*A( L1, L2 ) )
-C
-                  VEC( 1, 2 ) = C( K1, L2 ) -
-     $               ( DDOT( NP1-K1, A( K1, K1 ), LDA, DWORK( N+K1 ),
-     $                       1) + P11*A( L2, L1 ) + P12*A( L2, L2 ) )
-C
-                  VEC( 2, 1 ) = C( K2, L1 ) -
-     $               ( DDOT( NP1-K1, A( K2, K1 ), LDA, DWORK( K1 ),
-     $                       1) + P21*A( L1, L1 ) + P22*A( L1, L2 ) )
-C
-                  VEC( 2, 2 ) = C( K2, L2 ) -
-     $               ( DDOT( NP1-K1, A( K2, K1 ), LDA, DWORK( N+K1 ), 1)
-     $               + P21*A( L2, L1 ) + P22*A( L2, L2 ) )
-C
-                  IF( K1.EQ.L1 ) THEN
-                     CALL SB03MV( .TRUE., LUPPER, A( K1, K1 ), LDA, VEC,
-     $                            2, SCALOC, X, 2, XNORM, IERR )
-                     IF( LUPPER ) THEN
-                        X( 2, 1 ) = X( 1, 2 )
-                     ELSE
-                        X( 1, 2 ) = X( 2, 1 )
-                     END IF
-                  ELSE
-                     CALL SB04PX( .FALSE., .TRUE., -1, 2, 2,
-     $                            A( K1, K1 ), LDA, A( L1, L1 ), LDA,
-     $                            VEC, 2, SCALOC, X, 2, XNORM, IERR )
-                  END IF
-                  IF( IERR.NE.0 )
-     $               INFO = 1
-C
-                  IF( SCALOC.NE.ONE ) THEN
-C
-                     DO 100 J = 1, N
-                        CALL DSCAL( N, SCALOC, C( 1, J ), 1 )
-  100                CONTINUE
-C
-                     CALL DSCAL( N, SCALOC, DWORK, 1 )
-                     CALL DSCAL( N, SCALOC, DWORK( NP1 ), 1 )
-                     SCALE = SCALE*SCALOC
-                  END IF
-                  C( K1, L1 ) = X( 1, 1 )
-                  C( K1, L2 ) = X( 1, 2 )
-                  C( K2, L1 ) = X( 2, 1 )
-                  C( K2, L2 ) = X( 2, 2 )
-                  IF( K1.NE.L1 ) THEN
-                     C( L1, K1 ) = X( 1, 1 )
-                     C( L2, K1 ) = X( 1, 2 )
-                     C( L1, K2 ) = X( 2, 1 )
-                     C( L2, K2 ) = X( 2, 2 )
-                  END IF
-               END IF
-C
-  110       CONTINUE
-C
-  120    CONTINUE
-C
-      END IF
-C
-      RETURN
-C *** Last line of SB03MX ***
-      END
--- a/extra/control-devel/devel/dksyn/SB03MY.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,613 +0,0 @@
-      SUBROUTINE SB03MY( TRANA, N, A, LDA, C, LDC, SCALE, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To solve the real Lyapunov matrix equation
-C
-C            op(A)'*X + X*op(A) = scale*C
-C
-C     where op(A) = A or A' (A**T), A is upper quasi-triangular and C is
-C     symmetric (C = C'). (A' denotes the transpose of the matrix A.)
-C     A is N-by-N, the right hand side C and the solution X are N-by-N,
-C     and scale is an output scale factor, set less than or equal to 1
-C     to avoid overflow in X. The solution matrix X is overwritten
-C     onto C.
-C
-C     A must be in Schur canonical form (as returned by LAPACK routines
-C     DGEES or DHSEQR), that is, block upper triangular with 1-by-1 and
-C     2-by-2 diagonal blocks; each 2-by-2 diagonal block has its
-C     diagonal elements equal and its off-diagonal elements of opposite
-C     sign.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     TRANA   CHARACTER*1
-C             Specifies the form of op(A) to be used, as follows:
-C             = 'N':  op(A) = A    (No transpose);
-C             = 'T':  op(A) = A**T (Transpose);
-C             = 'C':  op(A) = A**T (Conjugate transpose = Transpose).
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the matrices A, X, and C.  N >= 0.
-C
-C     A       (input) DOUBLE PRECISION array, dimension (LDA,N)
-C             The leading N-by-N part of this array must contain the
-C             upper quasi-triangular matrix A, in Schur canonical form.
-C             The part of A below the first sub-diagonal is not
-C             referenced.
-C
-C     LDA     INTEGER
-C             The leading dimension of array A.  LDA >= MAX(1,N).
-C
-C     C       (input/output) DOUBLE PRECISION array, dimension (LDC,N)
-C             On entry, the leading N-by-N part of this array must
-C             contain the symmetric matrix C.
-C             On exit, if INFO >= 0, the leading N-by-N part of this
-C             array contains the symmetric solution matrix X.
-C
-C     LDC     INTEGER
-C             The leading dimension of array C.  LDC >= MAX(1,N).
-C
-C     SCALE   (output) DOUBLE PRECISION
-C             The scale factor, scale, set less than or equal to 1 to
-C             prevent the solution overflowing.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = 1:  if A and -A have common or very close eigenvalues;
-C                   perturbed values were used to solve the equation
-C                   (but the matrix A is unchanged).
-C
-C     METHOD
-C
-C     Bartels-Stewart algorithm is used. A set of equivalent linear
-C     algebraic systems of equations of order at most four are formed
-C     and solved using Gaussian elimination with complete pivoting.
-C
-C     REFERENCES
-C
-C     [1] Bartels, R.H. and Stewart, G.W.  T
-C         Solution of the matrix equation A X + XB = C.
-C         Comm. A.C.M., 15, pp. 820-826, 1972.
-C
-C     NUMERICAL ASPECTS
-C                               3
-C     The algorithm requires 0(N ) operations.
-C
-C     CONTRIBUTOR
-C
-C     Release 3.0: V. Sima, Katholieke Univ. Leuven, Belgium, May 1997.
-C     Supersedes Release 2.0 routine SB03AY by Control Systems Research
-C     Group, Kingston Polytechnic, United Kingdom, October 1982.
-C     Based on DTRLYP by P. Petkov, Tech. University of Sofia, September
-C     1993.
-C
-C     REVISIONS
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, May 1999.
-C
-C     KEYWORDS
-C
-C     Continuous-time system, Lyapunov equation, matrix algebra, real
-C     Schur form.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0 )
-C     ..
-C     .. Scalar Arguments ..
-      CHARACTER          TRANA
-      INTEGER            INFO, LDA, LDC, N
-      DOUBLE PRECISION   SCALE
-C     ..
-C     .. Array Arguments ..
-      DOUBLE PRECISION   A( LDA, * ), C( LDC, * )
-C     ..
-C     .. Local Scalars ..
-      LOGICAL            NOTRNA, LUPPER
-      INTEGER            IERR, J, K, K1, K2, KNEXT, L, L1, L2, LNEXT,
-     $                   MINK1N, MINK2N, MINL1N, MINL2N
-      DOUBLE PRECISION   A11, BIGNUM, DA11, DB, EPS, SCALOC, SMIN,
-     $                   SMLNUM, XNORM
-C     ..
-C     .. Local Arrays ..
-      DOUBLE PRECISION   DUM( 1 ), VEC( 2, 2 ), X( 2, 2 )
-C     ..
-C     .. External Functions ..
-      LOGICAL            LSAME
-      DOUBLE PRECISION   DDOT, DLAMCH, DLANHS
-      EXTERNAL           DDOT, DLAMCH, DLANHS, LSAME
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DLABAD, DLALN2, DLASY2, DSCAL, SB03MW, XERBLA
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          ABS, DBLE, MAX, MIN
-C     ..
-C     .. Executable Statements ..
-C
-C     Decode and Test input parameters.
-C
-      NOTRNA = LSAME( TRANA, 'N' )
-      LUPPER = .TRUE.
-C
-      INFO = 0
-      IF( .NOT.NOTRNA .AND. .NOT.LSAME( TRANA, 'T' ) .AND.
-     $                      .NOT.LSAME( TRANA, 'C' ) ) THEN
-         INFO = -1
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -4
-      ELSE IF( LDC.LT.MAX( 1, N ) ) THEN
-         INFO = -6
-      END IF
-C
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'SB03MY', -INFO )
-         RETURN
-      END IF
-C
-      SCALE = ONE
-C
-C     Quick return if possible.
-C
-      IF( N.EQ.0 )
-     $   RETURN
-C
-C     Set constants to control overflow.
-C
-      EPS = DLAMCH( 'P' )
-      SMLNUM = DLAMCH( 'S' )
-      BIGNUM = ONE / SMLNUM
-      CALL DLABAD( SMLNUM, BIGNUM )
-      SMLNUM = SMLNUM*DBLE( N*N ) / EPS
-      BIGNUM = ONE / SMLNUM
-C
-      SMIN = MAX( SMLNUM, EPS*DLANHS( 'Max', N, A, LDA, DUM ) )
-C
-      IF( NOTRNA ) THEN
-C
-C        Solve    A'*X + X*A = scale*C.
-C
-C        The (K,L)th block of X is determined starting from
-C        upper-left corner column by column by
-C
-C          A(K,K)'*X(K,L) + X(K,L)*A(L,L) = C(K,L) - R(K,L),
-C
-C        where
-C                   K-1                    L-1
-C          R(K,L) = SUM [A(I,K)'*X(I,L)] + SUM [X(K,J)*A(J,L)].
-C                   I=1                    J=1
-C
-C        Start column loop (index = L).
-C        L1 (L2): column index of the first (last) row of X(K,L).
-C
-         LNEXT = 1
-C
-         DO 60 L = 1, N
-            IF( L.LT.LNEXT )
-     $         GO TO 60
-            L1 = L
-            L2 = L
-            IF( L.LT.N ) THEN
-               IF( A( L+1, L ).NE.ZERO )
-     $            L2 = L2 + 1
-               LNEXT = L2 + 1
-            END IF
-C
-C           Start row loop (index = K).
-C           K1 (K2): row index of the first (last) row of X(K,L).
-C
-            KNEXT = L
-C
-            DO 50 K = L, N
-               IF( K.LT.KNEXT )
-     $            GO TO 50
-               K1 = K
-               K2 = K
-               IF( K.LT.N ) THEN
-                  IF( A( K+1, K ).NE.ZERO )
-     $               K2 = K2 + 1
-                  KNEXT = K2 + 1
-               END IF
-C
-               IF( L1.EQ.L2 .AND. K1.EQ.K2 ) THEN
-                  VEC( 1, 1 ) = C( K1, L1 ) -
-     $               ( DDOT( K1-1, A( 1, K1 ), 1, C( 1, L1 ), 1 ) +
-     $                 DDOT( L1-1, C( K1, 1 ), LDC, A( 1, L1 ), 1 ) )
-                  SCALOC = ONE
-C
-                  A11 = A( K1, K1 ) + A( L1, L1 )
-                  DA11 = ABS( A11 )
-                  IF( DA11.LE.SMIN ) THEN
-                     A11 = SMIN
-                     DA11 = SMIN
-                     INFO = 1
-                  END IF
-                  DB = ABS( VEC( 1, 1 ) )
-                  IF( DA11.LT.ONE .AND. DB.GT.ONE ) THEN
-                     IF( DB.GT.BIGNUM*DA11 )
-     $                  SCALOC = ONE / DB
-                  END IF
-                  X( 1, 1 ) = ( VEC( 1, 1 )*SCALOC ) / A11
-C
-                  IF( SCALOC.NE.ONE ) THEN
-C
-                     DO 10 J = 1, N
-                        CALL DSCAL( N, SCALOC, C( 1, J ), 1 )
-   10                CONTINUE
-C
-                     SCALE = SCALE*SCALOC
-                  END IF
-                  C( K1, L1 ) = X( 1, 1 )
-                  IF( K1.NE.L1 ) THEN
-                     C( L1, K1 ) = X( 1, 1 )
-                  END IF
-C
-               ELSE IF( L1.EQ.L2 .AND. K1.NE.K2 ) THEN
-C
-                  VEC( 1, 1 ) = C( K1, L1 ) -
-     $               ( DDOT( K1-1, A( 1, K1 ), 1, C( 1, L1 ), 1 ) +
-     $                 DDOT( L1-1, C( K1, 1 ), LDC, A( 1, L1 ), 1 ) )
-C
-                  VEC( 2, 1 ) = C( K2, L1 ) -
-     $               ( DDOT( K1-1, A( 1, K2 ), 1, C( 1, L1 ), 1 ) +
-     $                 DDOT( L1-1, C( K2, 1 ), LDC, A( 1, L1 ), 1 ) )
-C
-                  CALL DLALN2( .TRUE., 2, 1, SMIN, ONE, A( K1, K1 ),
-     $                         LDA, ONE, ONE, VEC, 2, -A( L1, L1 ),
-     $                         ZERO, X, 2, SCALOC, XNORM, IERR )
-                  IF( IERR.NE.0 )
-     $               INFO = 1
-C
-                  IF( SCALOC.NE.ONE ) THEN
-C
-                     DO 20 J = 1, N
-                        CALL DSCAL( N, SCALOC, C( 1, J ), 1 )
-   20                CONTINUE
-C
-                     SCALE = SCALE*SCALOC
-                  END IF
-                  C( K1, L1 ) = X( 1, 1 )
-                  C( K2, L1 ) = X( 2, 1 )
-                  C( L1, K1 ) = X( 1, 1 )
-                  C( L1, K2 ) = X( 2, 1 )
-C
-               ELSE IF( L1.NE.L2 .AND. K1.EQ.K2 ) THEN
-C
-                  VEC( 1, 1 ) = C( K1, L1 ) -
-     $               ( DDOT( K1-1, A( 1, K1 ), 1, C( 1, L1 ), 1 ) +
-     $                 DDOT( L1-1, C( K1, 1 ), LDC, A( 1, L1 ), 1 ) )
-C
-                  VEC( 2, 1 ) = C( K1, L2 ) -
-     $               ( DDOT( K1-1, A( 1, K1 ), 1, C( 1, L2 ), 1 ) +
-     $                 DDOT( L1-1, C( K1, 1 ), LDC, A( 1, L2 ), 1 ) )
-C
-                  CALL DLALN2( .TRUE., 2, 1, SMIN, ONE, A( L1, L1 ),
-     $                         LDA, ONE, ONE, VEC, 2, -A( K1, K1 ),
-     $                         ZERO, X, 2, SCALOC, XNORM, IERR )
-                  IF( IERR.NE.0 )
-     $               INFO = 1
-C
-                  IF( SCALOC.NE.ONE ) THEN
-C
-                     DO 30 J = 1, N
-                        CALL DSCAL( N, SCALOC, C( 1, J ), 1 )
-   30                CONTINUE
-C
-                     SCALE = SCALE*SCALOC
-                  END IF
-                  C( K1, L1 ) = X( 1, 1 )
-                  C( K1, L2 ) = X( 2, 1 )
-                  C( L1, K1 ) = X( 1, 1 )
-                  C( L2, K1 ) = X( 2, 1 )
-C
-               ELSE IF( L1.NE.L2 .AND. K1.NE.K2 ) THEN
-C
-                  VEC( 1, 1 ) = C( K1, L1 ) -
-     $               ( DDOT( K1-1, A( 1, K1 ), 1, C( 1, L1 ), 1 ) +
-     $                 DDOT( L1-1, C( K1, 1 ), LDC, A( 1, L1 ), 1 ) )
-C
-                  VEC( 1, 2 ) = C( K1, L2 ) -
-     $               ( DDOT( K1-1, A( 1, K1 ), 1, C( 1, L2 ), 1 ) +
-     $                 DDOT( L1-1, C( K1, 1 ), LDC, A( 1, L2 ), 1 ) )
-C
-                  VEC( 2, 1 ) = C( K2, L1 ) -
-     $               ( DDOT( K1-1, A( 1, K2 ), 1, C( 1, L1 ), 1 ) +
-     $                 DDOT( L1-1, C( K2, 1 ), LDC, A( 1, L1 ), 1 ) )
-C
-                  VEC( 2, 2 ) = C( K2, L2 ) -
-     $               ( DDOT( K1-1, A( 1, K2 ), 1, C( 1, L2 ), 1 ) +
-     $                 DDOT( L1-1, C( K2, 1 ), LDC, A( 1, L2 ), 1 ) )
-C
-                  IF( K1.EQ.L1 ) THEN
-                     CALL SB03MW( .FALSE., LUPPER, A( K1, K1 ), LDA,
-     $                            VEC, 2, SCALOC, X, 2, XNORM, IERR )
-                     IF( LUPPER ) THEN
-                        X( 2, 1 ) = X( 1, 2 )
-                     ELSE
-                        X( 1, 2 ) = X( 2, 1 )
-                     END IF
-                  ELSE
-                     CALL DLASY2( .TRUE., .FALSE., 1, 2, 2, A( K1, K1 ),
-     $                            LDA, A( L1, L1 ), LDA, VEC, 2, SCALOC,
-     $                            X, 2, XNORM, IERR )
-                  END IF
-                  IF( IERR.NE.0 )
-     $               INFO = 1
-C
-                  IF( SCALOC.NE.ONE ) THEN
-C
-                     DO 40 J = 1, N
-                        CALL DSCAL( N, SCALOC, C( 1, J ), 1 )
-   40                CONTINUE
-C
-                     SCALE = SCALE*SCALOC
-                  END IF
-                  C( K1, L1 ) = X( 1, 1 )
-                  C( K1, L2 ) = X( 1, 2 )
-                  C( K2, L1 ) = X( 2, 1 )
-                  C( K2, L2 ) = X( 2, 2 )
-                  IF( K1.NE.L1 ) THEN
-                     C( L1, K1 ) = X( 1, 1 )
-                     C( L2, K1 ) = X( 1, 2 )
-                     C( L1, K2 ) = X( 2, 1 )
-                     C( L2, K2 ) = X( 2, 2 )
-                  END IF
-               END IF
-C
-   50       CONTINUE
-C
-   60    CONTINUE
-C
-      ELSE
-C
-C        Solve    A*X + X*A' = scale*C.
-C
-C        The (K,L)th block of X is determined starting from
-C        bottom-right corner column by column by
-C
-C            A(K,K)*X(K,L) + X(K,L)*A(L,L)' = C(K,L) - R(K,L),
-C
-C        where
-C                      N                     N
-C            R(K,L) = SUM [A(K,I)*X(I,L)] + SUM [X(K,J)*A(L,J)'].
-C                    I=K+1                 J=L+1
-C
-C        Start column loop (index = L).
-C        L1 (L2): column index of the first (last) row of X(K,L).
-C
-         LNEXT = N
-C
-         DO 120 L = N, 1, -1
-            IF( L.GT.LNEXT )
-     $         GO TO 120
-            L1 = L
-            L2 = L
-            IF( L.GT.1 ) THEN
-               IF( A( L, L-1 ).NE.ZERO )
-     $            L1 = L1 - 1
-               LNEXT = L1 - 1
-            END IF
-            MINL1N = MIN( L1+1, N )
-            MINL2N = MIN( L2+1, N )
-C
-C           Start row loop (index = K).
-C           K1 (K2): row index of the first (last) row of X(K,L).
-C
-            KNEXT = L
-C
-            DO 110 K = L, 1, -1
-               IF( K.GT.KNEXT )
-     $            GO TO 110
-               K1 = K
-               K2 = K
-               IF( K.GT.1 ) THEN
-                  IF( A( K, K-1 ).NE.ZERO )
-     $               K1 = K1 - 1
-                  KNEXT = K1 - 1
-               END IF
-               MINK1N = MIN( K1+1, N )
-               MINK2N = MIN( K2+1, N )
-C
-               IF( L1.EQ.L2 .AND. K1.EQ.K2 ) THEN
-                  VEC( 1, 1 ) = C( K1, L1 ) -
-     $               ( DDOT( N-K1, A( K1, MINK1N ), LDA,
-     $                       C( MINK1N, L1 ), 1 ) +
-     $                 DDOT( N-L1, C( K1, MINL1N ), LDC,
-     $                       A( L1, MINL1N ), LDA ) )
-                  SCALOC = ONE
-C
-                  A11 = A( K1, K1 ) + A( L1, L1 )
-                  DA11 = ABS( A11 )
-                  IF( DA11.LE.SMIN ) THEN
-                     A11 = SMIN
-                     DA11 = SMIN
-                     INFO = 1
-                  END IF
-                  DB = ABS( VEC( 1, 1 ) )
-                  IF( DA11.LT.ONE .AND. DB.GT.ONE ) THEN
-                     IF( DB.GT.BIGNUM*DA11 )
-     $                  SCALOC = ONE / DB
-                  END IF
-                  X( 1, 1 ) = ( VEC( 1, 1 )*SCALOC ) / A11
-C
-                  IF( SCALOC.NE.ONE ) THEN
-C
-                     DO 70 J = 1, N
-                        CALL DSCAL( N, SCALOC, C( 1, J ), 1 )
-   70                CONTINUE
-C
-                     SCALE = SCALE*SCALOC
-                  END IF
-                  C( K1, L1 ) = X( 1, 1 )
-                  IF( K1.NE.L1 ) THEN
-                     C( L1, K1 ) = X( 1, 1 )
-                  END IF
-C
-               ELSE IF( L1.EQ.L2 .AND. K1.NE.K2 ) THEN
-C
-                  VEC( 1, 1 ) = C( K1, L1 ) -
-     $               ( DDOT( N-K2, A( K1, MINK2N ), LDA,
-     $                       C( MINK2N, L1 ), 1 ) +
-     $                 DDOT( N-L2, C( K1, MINL2N ), LDC,
-     $                       A( L1, MINL2N ), LDA ) )
-C
-                  VEC( 2, 1 ) = C( K2, L1 ) -
-     $               ( DDOT( N-K2, A( K2, MINK2N ), LDA,
-     $                     C( MINK2N, L1 ), 1 ) +
-     $                 DDOT( N-L2, C( K2, MINL2N ), LDC,
-     $                     A( L1, MINL2N ), LDA ) )
-C
-                  CALL DLALN2( .FALSE., 2, 1, SMIN, ONE, A( K1, K1 ),
-     $                         LDA, ONE, ONE, VEC, 2, -A( L1, L1 ),
-     $                         ZERO, X, 2, SCALOC, XNORM, IERR )
-                  IF( IERR.NE.0 )
-     $               INFO = 1
-C
-                  IF( SCALOC.NE.ONE ) THEN
-C
-                     DO 80 J = 1, N
-                        CALL DSCAL( N, SCALOC, C( 1, J ), 1 )
-   80                CONTINUE
-C
-                     SCALE = SCALE*SCALOC
-                  END IF
-                  C( K1, L1 ) = X( 1, 1 )
-                  C( K2, L1 ) = X( 2, 1 )
-                  C( L1, K1 ) = X( 1, 1 )
-                  C( L1, K2 ) = X( 2, 1 )
-C
-               ELSE IF( L1.NE.L2 .AND. K1.EQ.K2 ) THEN
-C
-                  VEC( 1, 1 ) = C( K1, L1 ) -
-     $               ( DDOT( N-K1, A( K1, MINK1N ), LDA,
-     $                       C( MINK1N, L1 ), 1 ) +
-     $                 DDOT( N-L2, C( K1, MINL2N ), LDC,
-     $                       A( L1, MINL2N ), LDA ) )
-C
-                  VEC( 2, 1 ) = C( K1, L2 ) -
-     $               ( DDOT( N-K1, A( K1, MINK1N ), LDA,
-     $                       C( MINK1N, L2 ), 1 ) +
-     $                 DDOT( N-L2, C( K1, MINL2N ), LDC,
-     $                       A( L2, MINL2N ), LDA ) )
-C
-                  CALL DLALN2( .FALSE., 2, 1, SMIN, ONE, A( L1, L1 ),
-     $                         LDA, ONE, ONE, VEC, 2, -A( K1, K1 ),
-     $                         ZERO, X, 2, SCALOC, XNORM, IERR )
-                  IF( IERR.NE.0 )
-     $               INFO = 1
-C
-                  IF( SCALOC.NE.ONE ) THEN
-C
-                     DO 90 J = 1, N
-                        CALL DSCAL( N, SCALOC, C( 1, J ), 1 )
-   90                CONTINUE
-C
-                     SCALE = SCALE*SCALOC
-                  END IF
-                  C( K1, L1 ) = X( 1, 1 )
-                  C( K1, L2 ) = X( 2, 1 )
-                  C( L1, K1 ) = X( 1, 1 )
-                  C( L2, K1 ) = X( 2, 1 )
-C
-               ELSE IF( L1.NE.L2 .AND. K1.NE.K2 ) THEN
-C
-                  VEC( 1, 1 ) = C( K1, L1 ) -
-     $               ( DDOT( N-K2, A( K1, MINK2N ), LDA,
-     $                       C( MINK2N, L1 ), 1 ) +
-     $                 DDOT( N-L2, C( K1, MINL2N ), LDC,
-     $                       A( L1, MINL2N ), LDA ) )
-C
-                  VEC( 1, 2 ) = C( K1, L2 ) -
-     $               ( DDOT( N-K2, A( K1, MINK2N ), LDA,
-     $                       C( MINK2N, L2 ), 1 ) +
-     $                 DDOT( N-L2, C( K1, MINL2N ), LDC,
-     $                       A( L2, MINL2N ), LDA ) )
-C
-                  VEC( 2, 1 ) = C( K2, L1 ) -
-     $               ( DDOT( N-K2, A( K2, MINK2N ), LDA,
-     $                       C( MINK2N, L1 ), 1 ) +
-     $                 DDOT( N-L2, C( K2, MINL2N ), LDC,
-     $                       A( L1, MINL2N ), LDA ) )
-C
-                  VEC( 2, 2 ) = C( K2, L2 ) -
-     $               ( DDOT( N-K2, A( K2, MINK2N ), LDA,
-     $                       C( MINK2N, L2 ), 1 ) +
-     $                 DDOT( N-L2, C( K2, MINL2N ), LDC,
-     $                       A( L2, MINL2N ), LDA ) )
-C
-                  IF( K1.EQ.L1 ) THEN
-                     CALL SB03MW( .TRUE., LUPPER, A( K1, K1 ), LDA, VEC,
-     $                            2, SCALOC, X, 2, XNORM, IERR )
-                     IF( LUPPER ) THEN
-                        X( 2, 1 ) = X( 1, 2 )
-                     ELSE
-                        X( 1, 2 ) = X( 2, 1 )
-                     END IF
-                  ELSE
-                     CALL DLASY2( .FALSE., .TRUE., 1, 2, 2, A( K1, K1 ),
-     $                            LDA, A( L1, L1 ), LDA, VEC, 2, SCALOC,
-     $                            X, 2, XNORM, IERR )
-                  END IF
-                  IF( IERR.NE.0 )
-     $               INFO = 1
-C
-                  IF( SCALOC.NE.ONE ) THEN
-C
-                     DO 100 J = 1, N
-                        CALL DSCAL( N, SCALOC, C( 1, J ), 1 )
-  100                CONTINUE
-C
-                     SCALE = SCALE*SCALOC
-                  END IF
-                  C( K1, L1 ) = X( 1, 1 )
-                  C( K1, L2 ) = X( 1, 2 )
-                  C( K2, L1 ) = X( 2, 1 )
-                  C( K2, L2 ) = X( 2, 2 )
-                  IF( K1.NE.L1 ) THEN
-                     C( L1, K1 ) = X( 1, 1 )
-                     C( L2, K1 ) = X( 1, 2 )
-                     C( L1, K2 ) = X( 2, 1 )
-                     C( L2, K2 ) = X( 2, 2 )
-                  END IF
-               END IF
-C
-  110       CONTINUE
-C
-  120    CONTINUE
-C
-      END IF
-C
-      RETURN
-C *** Last line of SB03MY ***
-      END
--- a/extra/control-devel/devel/dksyn/SB03QX.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,394 +0,0 @@
-      SUBROUTINE SB03QX( TRANA, UPLO, LYAPUN, N, XANORM, T, LDT, U, LDU,
-     $                   R, LDR, FERR, IWORK, DWORK, LDWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To estimate a forward error bound for the solution X of a real
-C     continuous-time Lyapunov matrix equation,
-C
-C            op(A)'*X + X*op(A) = C,
-C
-C     where op(A) = A or A' (A**T) and C is symmetric (C = C**T). The
-C     matrix A, the right hand side C, and the solution X are N-by-N.
-C     An absolute residual matrix, which takes into account the rounding
-C     errors in forming it, is given in the array R.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     TRANA   CHARACTER*1
-C             Specifies the form of op(A) to be used, as follows:
-C             = 'N':  op(A) = A    (No transpose);
-C             = 'T':  op(A) = A**T (Transpose);
-C             = 'C':  op(A) = A**T (Conjugate transpose = Transpose).
-C
-C     UPLO    CHARACTER*1
-C             Specifies which part of the symmetric matrix R is to be
-C             used, as follows:
-C             = 'U':  Upper triangular part;
-C             = 'L':  Lower triangular part.
-C
-C     LYAPUN  CHARACTER*1
-C             Specifies whether or not the original Lyapunov equations
-C             should be solved, as follows:
-C             = 'O':  Solve the original Lyapunov equations, updating
-C                     the right-hand sides and solutions with the
-C                     matrix U, e.g., X <-- U'*X*U;
-C             = 'R':  Solve reduced Lyapunov equations only, without
-C                     updating the right-hand sides and solutions.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the matrices A and R.  N >= 0.
-C
-C     XANORM  (input) DOUBLE PRECISION
-C             The absolute (maximal) norm of the symmetric solution
-C             matrix X of the Lyapunov equation.  XANORM >= 0.
-C
-C     T       (input) DOUBLE PRECISION array, dimension (LDT,N)
-C             The leading N-by-N upper Hessenberg part of this array
-C             must contain the upper quasi-triangular matrix T in Schur
-C             canonical form from a Schur factorization of A.
-C
-C     LDT     INTEGER
-C             The leading dimension of array T.  LDT >= MAX(1,N).
-C
-C     U       (input) DOUBLE PRECISION array, dimension (LDU,N)
-C             The leading N-by-N part of this array must contain the
-C             orthogonal matrix U from a real Schur factorization of A.
-C             If LYAPUN = 'R', the array U is not referenced.
-C
-C     LDU     INTEGER
-C             The leading dimension of array U.
-C             LDU >= 1,        if LYAPUN = 'R';
-C             LDU >= MAX(1,N), if LYAPUN = 'O'.
-C
-C     R       (input/output) DOUBLE PRECISION array, dimension (LDR,N)
-C             On entry, if UPLO = 'U', the leading N-by-N upper
-C             triangular part of this array must contain the upper
-C             triangular part of the absolute residual matrix R, with
-C             bounds on rounding errors added.
-C             On entry, if UPLO = 'L', the leading N-by-N lower
-C             triangular part of this array must contain the lower
-C             triangular part of the absolute residual matrix R, with
-C             bounds on rounding errors added.
-C             On exit, the leading N-by-N part of this array contains
-C             the symmetric absolute residual matrix R (with bounds on
-C             rounding errors added), fully stored.
-C
-C     LDR     INTEGER
-C             The leading dimension of array R.  LDR >= MAX(1,N).
-C
-C     FERR    (output) DOUBLE PRECISION
-C             An estimated forward error bound for the solution X.
-C             If XTRUE is the true solution, FERR bounds the magnitude
-C             of the largest entry in (X - XTRUE) divided by the
-C             magnitude of the largest entry in X.
-C             If N = 0 or XANORM = 0, FERR is set to 0, without any
-C             calculations.
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension (N*N)
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C
-C     LDWORK  INTEGER
-C             The length of the array DWORK.  LDWORK >= 2*N*N.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = N+1:  if the matrices T and -T' have common or very
-C                   close eigenvalues; perturbed values were used to
-C                   solve Lyapunov equations (but the matrix T is
-C                   unchanged).
-C
-C     METHOD
-C
-C     The forward error bound is estimated using a practical error bound
-C     similar to the one proposed in [1], based on the 1-norm estimator
-C     in [2].
-C
-C     REFERENCES
-C
-C     [1] Higham, N.J.
-C         Perturbation theory and backward error for AX-XB=C.
-C         BIT, vol. 33, pp. 124-136, 1993.
-C
-C     [2] Higham, N.J.
-C         FORTRAN codes for estimating the one-norm of a real or
-C         complex matrix, with applications to condition estimation.
-C         ACM Trans. Math. Softw., 14, pp. 381-396, 1988.
-C
-C     NUMERICAL ASPECTS
-C                               3
-C     The algorithm requires 0(N ) operations.
-C
-C     FURTHER COMMENTS
-C
-C     The option LYAPUN = 'R' may occasionally produce slightly worse
-C     or better estimates, and it is much faster than the option 'O'.
-C     The routine can be also used as a final step in estimating a
-C     forward error bound for the solution of a continuous-time
-C     algebraic matrix Riccati equation.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Romania,
-C     Oct. 1998. Partly based on DGLSVX (and then SB03QD) by P. Petkov,
-C     Tech. University of Sofia, March 1998 (and December 1998).
-C
-C     REVISIONS
-C
-C     February 6, 1999, V. Sima, Katholieke Univ. Leuven, Belgium.
-C     V. Sima, Research Institute for Informatics, Bucharest, Oct. 2004.
-C
-C     KEYWORDS
-C
-C     Lyapunov equation, orthogonal transformation, real Schur form.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE, HALF
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0, HALF = 0.5D+0 )
-C     ..
-C     .. Scalar Arguments ..
-      CHARACTER          LYAPUN, TRANA, UPLO
-      INTEGER            INFO, LDR, LDT, LDU, LDWORK, N
-      DOUBLE PRECISION   FERR, XANORM
-C     ..
-C     .. Array Arguments ..
-      INTEGER            IWORK( * )
-      DOUBLE PRECISION   DWORK( * ), R( LDR, * ), T( LDT, * ),
-     $                   U( LDU, * )
-C     ..
-C     .. Local Scalars ..
-      LOGICAL            LOWER, NOTRNA, UPDATE
-      CHARACTER          TRANAT, UPLOW
-      INTEGER            I, IJ, INFO2, ITMP, J, KASE, NN
-      DOUBLE PRECISION   EST, SCALE, TEMP
-C     ..
-C     .. External Functions ..
-      LOGICAL            LSAME
-      DOUBLE PRECISION   DLANSY
-      EXTERNAL           DLANSY, LSAME
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DLACON, DSCAL, MA02ED, MB01RU, SB03MY, XERBLA
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          MAX
-C     ..
-C     .. Executable Statements ..
-C
-C     Decode and Test input parameters.
-C
-      NOTRNA = LSAME( TRANA,  'N' )
-      UPDATE = LSAME( LYAPUN, 'O' )
-C
-      NN   = N*N
-      INFO = 0
-      IF( .NOT.( NOTRNA .OR. LSAME( TRANA, 'T' ) .OR.
-     $                       LSAME( TRANA, 'C' ) ) ) THEN
-         INFO = -1
-      ELSE IF( .NOT.( LSAME( UPLO, 'L' ) .OR. LSAME( UPLO, 'U' ) ) )
-     $   THEN
-         INFO = -2
-      ELSE IF( .NOT.( UPDATE .OR. LSAME( LYAPUN, 'R' ) ) ) THEN
-         INFO = -3
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( XANORM.LT.ZERO ) THEN
-         INFO = -5
-      ELSE IF( LDT.LT.MAX( 1, N ) ) THEN
-         INFO = -7
-      ELSE IF( LDU.LT.1 .OR. ( UPDATE .AND. LDU.LT.N ) ) THEN
-         INFO = -9
-      ELSE IF( LDR.LT.MAX( 1, N ) ) THEN
-         INFO = -11
-      ELSE IF( LDWORK.LT.2*NN ) THEN
-         INFO = -15
-      END IF
-C
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'SB03QX', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      FERR = ZERO
-      IF( N.EQ.0 .OR. XANORM.EQ.ZERO )
-     $   RETURN
-C
-      ITMP = NN + 1
-C
-      IF( NOTRNA ) THEN
-         TRANAT = 'T'
-      ELSE
-         TRANAT = 'N'
-      END IF
-C
-C     Fill in the remaining triangle of the symmetric residual matrix.
-C
-      CALL MA02ED( UPLO, N, R, LDR )
-C
-      KASE = 0
-C
-C     REPEAT
-   10 CONTINUE
-      CALL DLACON( NN, DWORK( ITMP ), DWORK, IWORK, EST, KASE )
-      IF( KASE.NE.0 ) THEN
-C
-C        Select the triangular part of symmetric matrix to be used.
-C
-         IF( DLANSY( '1-norm', 'Upper', N, DWORK, N, DWORK( ITMP ) )
-     $       .GE.
-     $       DLANSY( '1-norm', 'Lower', N, DWORK, N, DWORK( ITMP ) )
-     $     ) THEN
-            UPLOW = 'U'
-            LOWER = .FALSE.
-         ELSE
-            UPLOW = 'L'
-            LOWER = .TRUE.
-         END IF
-C
-         IF( KASE.EQ.2 ) THEN
-            IJ = 0
-            IF( LOWER ) THEN
-C
-C              Scale the lower triangular part of symmetric matrix
-C              by the residual matrix.
-C
-               DO 30 J = 1, N
-                  DO 20 I = J, N
-                     IJ = IJ + 1
-                     DWORK( IJ ) = DWORK( IJ )*R( I, J )
-   20             CONTINUE
-                  IJ = IJ + J
-   30          CONTINUE
-            ELSE
-C
-C              Scale the upper triangular part of symmetric matrix
-C              by the residual matrix.
-C
-               DO 50 J = 1, N
-                  DO 40 I = 1, J
-                     IJ = IJ + 1
-                     DWORK( IJ ) = DWORK( IJ )*R( I, J )
-   40             CONTINUE
-                  IJ = IJ + N - J
-   50          CONTINUE
-            END IF
-         END IF
-C
-         IF( UPDATE ) THEN
-C
-C           Transform the right-hand side: RHS := U'*RHS*U.
-C
-            CALL MB01RU( UPLOW, 'Transpose', N, N, ZERO, ONE, DWORK, N,
-     $                   U, LDU, DWORK, N, DWORK( ITMP ), NN, INFO2 )
-            CALL DSCAL( N, HALF, DWORK, N+1 )
-         END IF
-         CALL MA02ED( UPLOW, N, DWORK, N )
-C
-         IF( KASE.EQ.2 ) THEN
-C
-C           Solve op(T)'*Y + Y*op(T) = scale*RHS.
-C
-            CALL SB03MY( TRANA, N, T, LDT, DWORK, N, SCALE, INFO2 )
-         ELSE
-C
-C           Solve op(T)*W + W*op(T)' = scale*RHS.
-C
-            CALL SB03MY( TRANAT, N, T, LDT, DWORK, N, SCALE, INFO2 )
-         END IF
-C
-         IF( INFO2.GT.0 )
-     $      INFO = N + 1
-C
-         IF( UPDATE ) THEN
-C
-C           Transform back to obtain the solution: Z := U*Z*U', with
-C           Z = Y or Z = W.
-C
-            CALL MB01RU( UPLOW, 'No transpose', N, N, ZERO, ONE, DWORK,
-     $                   N, U, LDU, DWORK, N, DWORK( ITMP ), NN, INFO2 )
-            CALL DSCAL( N, HALF, DWORK, N+1 )
-         END IF
-C
-         IF( KASE.EQ.1 ) THEN
-            IJ = 0
-            IF( LOWER ) THEN
-C
-C              Scale the lower triangular part of symmetric matrix
-C              by the residual matrix.
-C
-               DO 70 J = 1, N
-                  DO 60 I = J, N
-                     IJ = IJ + 1
-                     DWORK( IJ ) = DWORK( IJ )*R( I, J )
-   60             CONTINUE
-                  IJ = IJ + J
-   70          CONTINUE
-            ELSE
-C
-C              Scale the upper triangular part of symmetric matrix
-C              by the residual matrix.
-C
-               DO 90 J = 1, N
-                  DO 80 I = 1, J
-                     IJ = IJ + 1
-                     DWORK( IJ ) = DWORK( IJ )*R( I, J )
-   80             CONTINUE
-                  IJ = IJ + N - J
-   90          CONTINUE
-            END IF
-         END IF
-C
-C        Fill in the remaining triangle of the symmetric matrix.
-C
-         CALL MA02ED( UPLOW, N, DWORK, N )
-         GO TO 10
-      END IF
-C
-C     UNTIL KASE = 0
-C
-C     Compute the estimate of the relative error.
-C
-      TEMP = XANORM*SCALE
-      IF( TEMP.GT.EST ) THEN
-         FERR = EST / TEMP
-      ELSE
-         FERR = ONE
-      END IF
-C
-      RETURN
-C
-C *** Last line of SB03QX ***
-      END
--- a/extra/control-devel/devel/dksyn/SB03QY.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,443 +0,0 @@
-      SUBROUTINE SB03QY( JOB, TRANA, LYAPUN, N, T, LDT, U, LDU, X, LDX,
-     $                   SEP, THNORM, IWORK, DWORK, LDWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To estimate the separation between the matrices op(A) and -op(A)',
-C
-C     sep(op(A),-op(A)') = min norm(op(A)'*X + X*op(A))/norm(X)
-C                        = 1 / norm(inv(Omega))
-C
-C     and/or the 1-norm of Theta, where op(A) = A or A' (A**T), and
-C     Omega and Theta are linear operators associated to the real
-C     continuous-time Lyapunov matrix equation
-C
-C            op(A)'*X + X*op(A) = C,
-C
-C     defined by
-C
-C     Omega(W) = op(A)'*W + W*op(A),
-C     Theta(W) = inv(Omega(op(W)'*X + X*op(W))).
-C
-C     The 1-norm condition estimators are used.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     JOB     CHARACTER*1
-C             Specifies the computation to be performed, as follows:
-C             = 'S':  Compute the separation only;
-C             = 'T':  Compute the norm of Theta only;
-C             = 'B':  Compute both the separation and the norm of Theta.
-C
-C     TRANA   CHARACTER*1
-C             Specifies the form of op(A) to be used, as follows:
-C             = 'N':  op(A) = A    (No transpose);
-C             = 'T':  op(A) = A**T (Transpose);
-C             = 'C':  op(A) = A**T (Conjugate transpose = Transpose).
-C
-C     LYAPUN  CHARACTER*1
-C             Specifies whether or not the original Lyapunov equations
-C             should be solved, as follows:
-C             = 'O':  Solve the original Lyapunov equations, updating
-C                     the right-hand sides and solutions with the
-C                     matrix U, e.g., X <-- U'*X*U;
-C             = 'R':  Solve reduced Lyapunov equations only, without
-C                     updating the right-hand sides and solutions.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the matrices A and X.  N >= 0.
-C
-C     T       (input) DOUBLE PRECISION array, dimension (LDT,N)
-C             The leading N-by-N upper Hessenberg part of this array
-C             must contain the upper quasi-triangular matrix T in Schur
-C             canonical form from a Schur factorization of A.
-C
-C     LDT     INTEGER
-C             The leading dimension of array T.  LDT >= MAX(1,N).
-C
-C     U       (input) DOUBLE PRECISION array, dimension (LDU,N)
-C             The leading N-by-N part of this array must contain the
-C             orthogonal matrix U from a real Schur factorization of A.
-C             If LYAPUN = 'R', the array U is not referenced.
-C
-C     LDU     INTEGER
-C             The leading dimension of array U.
-C             LDU >= 1,        if LYAPUN = 'R';
-C             LDU >= MAX(1,N), if LYAPUN = 'O'.
-C
-C     X       (input) DOUBLE PRECISION array, dimension (LDX,N)
-C             The leading N-by-N part of this array must contain the
-C             solution matrix X of the Lyapunov equation (reduced
-C             Lyapunov equation if LYAPUN = 'R').
-C             If JOB = 'S', the array X is not referenced.
-C
-C     LDX     INTEGER
-C             The leading dimension of array X.
-C             LDX >= 1,        if JOB = 'S';
-C             LDX >= MAX(1,N), if JOB = 'T' or 'B'.
-C
-C     SEP     (output) DOUBLE PRECISION
-C             If JOB = 'S' or JOB = 'B', and INFO >= 0, SEP contains the
-C             estimated separation of the matrices op(A) and -op(A)'.
-C             If JOB = 'T' or N = 0, SEP is not referenced.
-C
-C     THNORM  (output) DOUBLE PRECISION
-C             If JOB = 'T' or JOB = 'B', and INFO >= 0, THNORM contains
-C             the estimated 1-norm of operator Theta.
-C             If JOB = 'S' or N = 0, THNORM is not referenced.
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension (N*N)
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C
-C     LDWORK  INTEGER
-C             The length of the array DWORK.  LDWORK >= 2*N*N.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = N+1:  if the matrices T and -T' have common or very
-C                   close eigenvalues; perturbed values were used to
-C                   solve Lyapunov equations (but the matrix T is
-C                   unchanged).
-C
-C     METHOD
-C
-C     SEP is defined as the separation of op(A) and -op(A)':
-C
-C            sep( op(A), -op(A)' ) = sigma_min( K )
-C
-C     where sigma_min(K) is the smallest singular value of the
-C     N*N-by-N*N matrix
-C
-C        K = kprod( I(N), op(A)' ) + kprod( op(A)', I(N) ).
-C
-C     I(N) is an N-by-N identity matrix, and kprod denotes the Kronecker
-C     product. The routine estimates sigma_min(K) by the reciprocal of
-C     an estimate of the 1-norm of inverse(K), computed as suggested in
-C     [1]. This involves the solution of several continuous-time
-C     Lyapunov equations, either direct or transposed. The true
-C     reciprocal 1-norm of inverse(K) cannot differ from sigma_min(K) by
-C     more than a factor of N.
-C     The 1-norm of Theta is estimated similarly.
-C
-C     REFERENCES
-C
-C     [1] Higham, N.J.
-C         FORTRAN codes for estimating the one-norm of a real or
-C         complex matrix, with applications to condition estimation.
-C         ACM Trans. Math. Softw., 14, pp. 381-396, 1988.
-C
-C     NUMERICAL ASPECTS
-C                               3
-C     The algorithm requires 0(N ) operations.
-C
-C     FURTHER COMMENTS
-C
-C     When SEP is zero, the routine returns immediately, with THNORM
-C     (if requested) not set. In this case, the equation is singular.
-C     The option LYAPUN = 'R' may occasionally produce slightly worse
-C     or better estimates, and it is much faster than the option 'O'.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Romania,
-C     Oct. 1998. Partly based on DGLSVX (and then SB03QD) by P. Petkov,
-C     Tech. University of Sofia, March 1998 (and December 1998).
-C
-C     REVISIONS
-C
-C     February 13, 1999, V. Sima, Katholieke Univ. Leuven, Belgium.
-C     V. Sima, Research Institute for Informatics, Bucharest, Oct. 2004.
-C
-C     KEYWORDS
-C
-C     Lyapunov equation, orthogonal transformation, real Schur form.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE, HALF
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0, HALF = 0.5D+0 )
-C     ..
-C     .. Scalar Arguments ..
-      CHARACTER          JOB, LYAPUN, TRANA
-      INTEGER            INFO, LDT, LDU, LDWORK, LDX, N
-      DOUBLE PRECISION   SEP, THNORM
-C     ..
-C     .. Array Arguments ..
-      INTEGER            IWORK( * )
-      DOUBLE PRECISION   DWORK( * ), T( LDT, * ), U( LDU, * ),
-     $                   X( LDX, * )
-C     ..
-C     .. Local Scalars ..
-      LOGICAL            NOTRNA, UPDATE, WANTS, WANTT
-      CHARACTER          TRANAT, UPLO
-      INTEGER            INFO2, ITMP, KASE, NN
-      DOUBLE PRECISION   BIGNUM, EST, SCALE
-C     ..
-C     .. External Functions ..
-      LOGICAL            LSAME
-      DOUBLE PRECISION   DLAMCH, DLANSY
-      EXTERNAL           DLAMCH, DLANSY, LSAME
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DLACON, DLACPY, DSCAL, DSYR2K, MA02ED, MB01RU,
-     $                   SB03MY, XERBLA
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          MAX
-C     ..
-C     .. Executable Statements ..
-C
-C     Decode and Test input parameters.
-C
-      WANTS  = LSAME( JOB,    'S' )
-      WANTT  = LSAME( JOB,    'T' )
-      NOTRNA = LSAME( TRANA,  'N' )
-      UPDATE = LSAME( LYAPUN, 'O' )
-C
-      NN   = N*N
-      INFO = 0
-      IF( .NOT. ( WANTS .OR. WANTT .OR. LSAME( JOB, 'B' ) ) ) THEN
-         INFO = -1
-      ELSE IF( .NOT.( NOTRNA .OR. LSAME( TRANA, 'T' ) .OR.
-     $                            LSAME( TRANA, 'C' ) ) ) THEN
-         INFO = -2
-      ELSE IF( .NOT.( UPDATE .OR. LSAME( LYAPUN, 'R' ) ) ) THEN
-         INFO = -3
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( LDT.LT.MAX( 1, N ) ) THEN
-         INFO = -6
-      ELSE IF( LDU.LT.1 .OR. ( UPDATE .AND. LDU.LT.N ) ) THEN
-         INFO = -8
-      ELSE IF( LDX.LT.1 .OR. ( .NOT.WANTS .AND. LDX.LT.N ) ) THEN
-         INFO = -10
-      ELSE IF( LDWORK.LT.2*NN ) THEN
-         INFO = -15
-      END IF
-C
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'SB03QY', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF( N.EQ.0 )
-     $   RETURN
-C
-      ITMP = NN + 1
-C
-      IF( NOTRNA ) THEN
-         TRANAT = 'T'
-      ELSE
-         TRANAT = 'N'
-      END IF
-C
-      IF( .NOT.WANTT ) THEN
-C
-C        Estimate sep(op(A),-op(A)').
-C        Workspace:  2*N*N.
-C
-         KASE = 0
-C
-C        REPEAT
-   10    CONTINUE
-         CALL DLACON( NN, DWORK( ITMP ), DWORK, IWORK, EST, KASE )
-         IF( KASE.NE.0 ) THEN
-C
-C           Select the triangular part of symmetric matrix to be used.
-C
-            IF( DLANSY( '1-norm', 'Upper', N, DWORK, N, DWORK( ITMP ) )
-     $          .GE.
-     $          DLANSY( '1-norm', 'Lower', N, DWORK, N, DWORK( ITMP ) )
-     $        ) THEN
-               UPLO = 'U'
-            ELSE
-               UPLO = 'L'
-            END IF
-C
-            IF( UPDATE ) THEN
-C
-C              Transform the right-hand side: RHS := U'*RHS*U.
-C
-               CALL MB01RU( UPLO, 'Transpose', N, N, ZERO, ONE, DWORK,
-     $                      N, U, LDU, DWORK, N, DWORK( ITMP ), NN,
-     $                      INFO2 )
-               CALL DSCAL( N, HALF, DWORK, N+1 )
-            END IF
-            CALL MA02ED( UPLO, N, DWORK, N )
-C
-            IF( KASE.EQ.1 ) THEN
-C
-C              Solve op(T)'*Y + Y*op(T) = scale*RHS.
-C
-               CALL SB03MY( TRANA, N, T, LDT, DWORK, N, SCALE, INFO2 )
-            ELSE
-C
-C              Solve op(T)*W + W*op(T)' = scale*RHS.
-C
-               CALL SB03MY( TRANAT, N, T, LDT, DWORK, N, SCALE, INFO2 )
-            END IF
-C
-            IF( INFO2.GT.0 )
-     $         INFO = N + 1
-C
-            IF( UPDATE ) THEN
-C
-C              Transform back to obtain the solution: Z := U*Z*U', with
-C              Z = Y or Z = W.
-C
-               CALL MB01RU( UPLO, 'No transpose', N, N, ZERO, ONE,
-     $                      DWORK, N, U, LDU, DWORK, N, DWORK( ITMP ),
-     $                      NN, INFO2 )
-               CALL DSCAL( N, HALF, DWORK, N+1 )
-C
-C              Fill in the remaining triangle of the symmetric matrix.
-C
-               CALL MA02ED( UPLO, N, DWORK, N )
-            END IF
-C
-            GO TO 10
-         END IF
-C        UNTIL KASE = 0
-C
-         IF( EST.GT.SCALE ) THEN
-            SEP = SCALE / EST
-         ELSE
-            BIGNUM = ONE / DLAMCH( 'Safe minimum' )
-            IF( SCALE.LT.EST*BIGNUM ) THEN
-               SEP = SCALE / EST
-            ELSE
-               SEP = BIGNUM
-            END IF
-         END IF
-C
-C        Return if the equation is singular.
-C
-         IF( SEP.EQ.ZERO )
-     $      RETURN
-      END IF
-C
-      IF( .NOT.WANTS ) THEN
-C
-C        Estimate norm(Theta).
-C        Workspace:  2*N*N.
-C
-         KASE = 0
-C
-C        REPEAT
-   20    CONTINUE
-         CALL DLACON( NN, DWORK( ITMP ), DWORK, IWORK, EST, KASE )
-         IF( KASE.NE.0 ) THEN
-C
-C           Select the triangular part of symmetric matrix to be used.
-C
-            IF( DLANSY( '1-norm', 'Upper', N, DWORK, N, DWORK( ITMP ) )
-     $          .GE.
-     $          DLANSY( '1-norm', 'Lower', N, DWORK, N, DWORK( ITMP ) )
-     $        ) THEN
-               UPLO = 'U'
-            ELSE
-               UPLO = 'L'
-            END IF
-C
-C           Fill in the remaining triangle of the symmetric matrix.
-C
-            CALL MA02ED( UPLO, N, DWORK, N )
-C
-C           Compute RHS = op(W)'*X + X*op(W).
-C
-            CALL DSYR2K( UPLO, TRANAT, N, N, ONE, DWORK, N, X, LDX,
-     $                   ZERO, DWORK( ITMP ), N )
-            CALL DLACPY( UPLO, N, N, DWORK( ITMP ), N, DWORK, N )
-C
-            IF( UPDATE ) THEN
-C
-C              Transform the right-hand side: RHS := U'*RHS*U.
-C
-               CALL MB01RU( UPLO, 'Transpose', N, N, ZERO, ONE, DWORK,
-     $                      N, U, LDU, DWORK, N, DWORK( ITMP ), NN,
-     $                      INFO2 )
-               CALL DSCAL( N, HALF, DWORK, N+1 )
-            END IF
-            CALL MA02ED( UPLO, N, DWORK, N )
-C
-            IF( KASE.EQ.1 ) THEN
-C
-C              Solve op(T)'*Y + Y*op(T) = scale*RHS.
-C
-               CALL SB03MY( TRANA, N, T, LDT, DWORK, N, SCALE, INFO2 )
-            ELSE
-C
-C              Solve op(T)*W + W*op(T)' = scale*RHS.
-C
-               CALL SB03MY( TRANAT, N, T, LDT, DWORK, N, SCALE, INFO2 )
-            END IF
-C
-            IF( INFO2.GT.0 )
-     $         INFO = N + 1
-C
-            IF( UPDATE ) THEN
-C
-C              Transform back to obtain the solution: Z := U*Z*U', with
-C              Z = Y or Z = W.
-C
-               CALL MB01RU( UPLO, 'No transpose', N, N, ZERO, ONE,
-     $                      DWORK, N, U, LDU, DWORK, N, DWORK( ITMP ),
-     $                      NN, INFO2 )
-               CALL DSCAL( N, HALF, DWORK, N+1 )
-C
-C              Fill in the remaining triangle of the symmetric matrix.
-C
-               CALL MA02ED( UPLO, N, DWORK, N )
-            END IF
-C
-            GO TO 20
-         END IF
-C        UNTIL KASE = 0
-C
-         IF( EST.LT.SCALE ) THEN
-            THNORM = EST / SCALE
-         ELSE
-            BIGNUM = ONE / DLAMCH( 'Safe minimum' )
-            IF( EST.LT.SCALE*BIGNUM ) THEN
-               THNORM = EST / SCALE
-            ELSE
-               THNORM = BIGNUM
-            END IF
-         END IF
-      END IF
-C
-      RETURN
-C *** Last line of SB03QY ***
-      END
--- a/extra/control-devel/devel/dksyn/SB03SX.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,398 +0,0 @@
-      SUBROUTINE SB03SX( TRANA, UPLO, LYAPUN, N, XANORM, T, LDT, U, LDU,
-     $                   R, LDR, FERR, IWORK, DWORK, LDWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To estimate a forward error bound for the solution X of a real
-C     discrete-time Lyapunov matrix equation,
-C
-C            op(A)'*X*op(A) - X = C,
-C
-C     where op(A) = A or A' (A**T) and C is symmetric (C = C**T). The
-C     matrix A, the right hand side C, and the solution X are N-by-N.
-C     An absolute residual matrix, which takes into account the rounding
-C     errors in forming it, is given in the array R.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     TRANA   CHARACTER*1
-C             Specifies the form of op(A) to be used, as follows:
-C             = 'N':  op(A) = A    (No transpose);
-C             = 'T':  op(A) = A**T (Transpose);
-C             = 'C':  op(A) = A**T (Conjugate transpose = Transpose).
-C
-C     UPLO    CHARACTER*1
-C             Specifies which part of the symmetric matrix R is to be
-C             used, as follows:
-C             = 'U':  Upper triangular part;
-C             = 'L':  Lower triangular part.
-C
-C     LYAPUN  CHARACTER*1
-C             Specifies whether or not the original Lyapunov equations
-C             should be solved, as follows:
-C             = 'O':  Solve the original Lyapunov equations, updating
-C                     the right-hand sides and solutions with the
-C                     matrix U, e.g., X <-- U'*X*U;
-C             = 'R':  Solve reduced Lyapunov equations only, without
-C                     updating the right-hand sides and solutions.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the matrices A and R.  N >= 0.
-C
-C     XANORM  (input) DOUBLE PRECISION
-C             The absolute (maximal) norm of the symmetric solution
-C             matrix X of the Lyapunov equation.  XANORM >= 0.
-C
-C     T       (input) DOUBLE PRECISION array, dimension (LDT,N)
-C             The leading N-by-N upper Hessenberg part of this array
-C             must contain the upper quasi-triangular matrix T in Schur
-C             canonical form from a Schur factorization of A.
-C
-C     LDT     INTEGER
-C             The leading dimension of array T.  LDT >= MAX(1,N).
-C
-C     U       (input) DOUBLE PRECISION array, dimension (LDU,N)
-C             The leading N-by-N part of this array must contain the
-C             orthogonal matrix U from a real Schur factorization of A.
-C             If LYAPUN = 'R', the array U is not referenced.
-C
-C     LDU     INTEGER
-C             The leading dimension of array U.
-C             LDU >= 1,        if LYAPUN = 'R';
-C             LDU >= MAX(1,N), if LYAPUN = 'O'.
-C
-C     R       (input/output) DOUBLE PRECISION array, dimension (LDR,N)
-C             On entry, if UPLO = 'U', the leading N-by-N upper
-C             triangular part of this array must contain the upper
-C             triangular part of the absolute residual matrix R, with
-C             bounds on rounding errors added.
-C             On entry, if UPLO = 'L', the leading N-by-N lower
-C             triangular part of this array must contain the lower
-C             triangular part of the absolute residual matrix R, with
-C             bounds on rounding errors added.
-C             On exit, the leading N-by-N part of this array contains
-C             the symmetric absolute residual matrix R (with bounds on
-C             rounding errors added), fully stored.
-C
-C     LDR     INTEGER
-C             The leading dimension of array R.  LDR >= MAX(1,N).
-C
-C     FERR    (output) DOUBLE PRECISION
-C             An estimated forward error bound for the solution X.
-C             If XTRUE is the true solution, FERR bounds the magnitude
-C             of the largest entry in (X - XTRUE) divided by the
-C             magnitude of the largest entry in X.
-C             If N = 0 or XANORM = 0, FERR is set to 0, without any
-C             calculations.
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension (N*N)
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C
-C     LDWORK  INTEGER
-C             The length of the array DWORK.
-C             LDWORK >= 0,            if N = 0;
-C             LDWORK >= MAX(3,2*N*N), if N > 0.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = N+1:  if T has almost reciprocal eigenvalues; perturbed
-C                   values were used to solve Lyapunov equations (but
-C                   the matrix T is unchanged).
-C
-C     METHOD
-C
-C     The forward error bound is estimated using a practical error bound
-C     similar to the one proposed in [1], based on the 1-norm estimator
-C     in [2].
-C
-C     REFERENCES
-C
-C     [1] Higham, N.J.
-C         Perturbation theory and backward error for AX-XB=C.
-C         BIT, vol. 33, pp. 124-136, 1993.
-C
-C     [2] Higham, N.J.
-C         FORTRAN codes for estimating the one-norm of a real or
-C         complex matrix, with applications to condition estimation.
-C         ACM Trans. Math. Softw., 14, pp. 381-396, 1988.
-C
-C     NUMERICAL ASPECTS
-C                               3
-C     The algorithm requires 0(N ) operations.
-C
-C     FURTHER COMMENTS
-C
-C     The option LYAPUN = 'R' may occasionally produce slightly worse
-C     or better estimates, and it is much faster than the option 'O'.
-C     The routine can be also used as a final step in estimating a
-C     forward error bound for the solution of a discrete-time algebraic
-C     matrix Riccati equation.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Romania,
-C     Oct. 1998. Partly based on DDLSVX (and then SB03SD) by P. Petkov,
-C     Tech. University of Sofia, March 1998 (and December 1998).
-C
-C     REVISIONS
-C
-C     February 6, 1999, V. Sima, Katholieke Univ. Leuven, Belgium.
-C     V. Sima, Research Institute for Informatics, Bucharest, Oct. 2004.
-C
-C     KEYWORDS
-C
-C     Lyapunov equation, orthogonal transformation, real Schur form.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE, HALF
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0, HALF = 0.5D+0 )
-C     ..
-C     .. Scalar Arguments ..
-      CHARACTER          LYAPUN, TRANA, UPLO
-      INTEGER            INFO, LDR, LDT, LDU, LDWORK, N
-      DOUBLE PRECISION   FERR, XANORM
-C     ..
-C     .. Array Arguments ..
-      INTEGER            IWORK( * )
-      DOUBLE PRECISION   DWORK( * ), R( LDR, * ), T( LDT, * ),
-     $                   U( LDU, * )
-C     ..
-C     .. Local Scalars ..
-      LOGICAL            LOWER, NOTRNA, UPDATE
-      CHARACTER          TRANAT, UPLOW
-      INTEGER            I, IJ, INFO2, ITMP, J, KASE, NN
-      DOUBLE PRECISION   EST, SCALE, TEMP
-C     ..
-C     .. External Functions ..
-      LOGICAL            LSAME
-      DOUBLE PRECISION   DLANSY
-      EXTERNAL           DLANSY, LSAME
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DLACON, DSCAL, MA02ED, MB01RU, SB03MX, XERBLA
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          MAX
-C     ..
-C     .. Executable Statements ..
-C
-C     Decode and Test input parameters.
-C
-      NOTRNA = LSAME( TRANA,  'N' )
-      UPDATE = LSAME( LYAPUN, 'O' )
-C
-      NN   = N*N
-      INFO = 0
-      IF( .NOT.( NOTRNA .OR. LSAME( TRANA, 'T' ) .OR.
-     $                       LSAME( TRANA, 'C' ) ) ) THEN
-         INFO = -1
-      ELSE IF( .NOT.( LSAME( UPLO, 'L' ) .OR. LSAME( UPLO, 'U' ) ) )
-     $   THEN
-         INFO = -2
-      ELSE IF( .NOT.( UPDATE .OR. LSAME( LYAPUN, 'R' ) ) ) THEN
-         INFO = -3
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( XANORM.LT.ZERO ) THEN
-         INFO = -5
-      ELSE IF( LDT.LT.MAX( 1, N ) ) THEN
-         INFO = -7
-      ELSE IF( LDU.LT.1 .OR. ( UPDATE .AND. LDU.LT.N ) ) THEN
-         INFO = -9
-      ELSE IF( LDR.LT.MAX( 1, N ) ) THEN
-         INFO = -11
-      ELSE IF( LDWORK.LT.0 .OR.
-     $       ( LDWORK.LT.MAX( 3, 2*NN ) .AND. N.GT.0 ) ) THEN
-         INFO = -15
-      END IF
-C
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'SB03SX', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      FERR = ZERO
-      IF( N.EQ.0 .OR. XANORM.EQ.ZERO )
-     $   RETURN
-C
-      ITMP = NN + 1
-C
-      IF( NOTRNA ) THEN
-         TRANAT = 'T'
-      ELSE
-         TRANAT = 'N'
-      END IF
-C
-C     Fill in the remaining triangle of the symmetric residual matrix.
-C
-      CALL MA02ED( UPLO, N, R, LDR )
-C
-      KASE = 0
-C
-C     REPEAT
-   10 CONTINUE
-      CALL DLACON( NN, DWORK( ITMP ), DWORK, IWORK, EST, KASE )
-      IF( KASE.NE.0 ) THEN
-C
-C        Select the triangular part of symmetric matrix to be used.
-C
-         IF( DLANSY( '1-norm', 'Upper', N, DWORK, N, DWORK( ITMP ) )
-     $       .GE.
-     $       DLANSY( '1-norm', 'Lower', N, DWORK, N, DWORK( ITMP ) )
-     $     ) THEN
-            UPLOW = 'U'
-            LOWER = .FALSE.
-         ELSE
-            UPLOW = 'L'
-            LOWER = .TRUE.
-         END IF
-C
-         IF( KASE.EQ.2 ) THEN
-            IJ = 0
-            IF( LOWER ) THEN
-C
-C              Scale the lower triangular part of symmetric matrix
-C              by the residual matrix.
-C
-               DO 30 J = 1, N
-                  DO 20 I = J, N
-                     IJ = IJ + 1
-                     DWORK( IJ ) = DWORK( IJ )*R( I, J )
-   20             CONTINUE
-                  IJ = IJ + J
-   30          CONTINUE
-            ELSE
-C
-C              Scale the upper triangular part of symmetric matrix
-C              by the residual matrix.
-C
-               DO 50 J = 1, N
-                  DO 40 I = 1, J
-                     IJ = IJ + 1
-                     DWORK( IJ ) = DWORK( IJ )*R( I, J )
-   40             CONTINUE
-                  IJ = IJ + N - J
-   50          CONTINUE
-            END IF
-         END IF
-C
-         IF( UPDATE ) THEN
-C
-C           Transform the right-hand side: RHS := U'*RHS*U.
-C
-            CALL MB01RU( UPLOW, 'Transpose', N, N, ZERO, ONE, DWORK, N,
-     $                   U, LDU, DWORK, N, DWORK( ITMP ), NN, INFO2 )
-            CALL DSCAL( N, HALF, DWORK, N+1 )
-         END IF
-         CALL MA02ED( UPLOW, N, DWORK, N )
-C
-         IF( KASE.EQ.2 ) THEN
-C
-C           Solve op(T)'*Y*op(T) - Y = scale*RHS.
-C
-            CALL SB03MX( TRANA, N, T, LDT, DWORK, N, SCALE,
-     $                   DWORK( ITMP ), INFO2 )
-         ELSE
-C
-C           Solve op(T)*W*op(T)' - W = scale*RHS.
-C
-            CALL SB03MX( TRANAT, N, T, LDT, DWORK, N, SCALE,
-     $                   DWORK( ITMP ), INFO2 )
-         END IF
-C
-         IF( INFO2.GT.0 )
-     $      INFO = N + 1
-C
-         IF( UPDATE ) THEN
-C
-C           Transform back to obtain the solution: Z := U*Z*U', with
-C           Z = Y or Z = W.
-C
-            CALL MB01RU( UPLOW, 'No transpose', N, N, ZERO, ONE, DWORK,
-     $                   N, U, LDU, DWORK, N, DWORK( ITMP ), NN, INFO2 )
-            CALL DSCAL( N, HALF, DWORK, N+1 )
-         END IF
-C
-         IF( KASE.EQ.1 ) THEN
-            IJ = 0
-            IF( LOWER ) THEN
-C
-C              Scale the lower triangular part of symmetric matrix
-C              by the residual matrix.
-C
-               DO 70 J = 1, N
-                  DO 60 I = J, N
-                     IJ = IJ + 1
-                     DWORK( IJ ) = DWORK( IJ )*R( I, J )
-   60             CONTINUE
-                  IJ = IJ + J
-   70          CONTINUE
-            ELSE
-C
-C              Scale the upper triangular part of symmetric matrix
-C              by the residual matrix.
-C
-               DO 90 J = 1, N
-                  DO 80 I = 1, J
-                     IJ = IJ + 1
-                     DWORK( IJ ) = DWORK( IJ )*R( I, J )
-   80             CONTINUE
-                  IJ = IJ + N - J
-   90          CONTINUE
-            END IF
-         END IF
-C
-C        Fill in the remaining triangle of the symmetric matrix.
-C
-         CALL MA02ED( UPLOW, N, DWORK, N )
-         GO TO 10
-      END IF
-C
-C     UNTIL KASE = 0
-C
-C     Compute the estimate of the relative error.
-C
-      TEMP = XANORM*SCALE
-      IF( TEMP.GT.EST ) THEN
-         FERR = EST / TEMP
-      ELSE
-         FERR = ONE
-      END IF
-C
-      RETURN
-C
-C *** Last line of SB03SX ***
-      END
--- a/extra/control-devel/devel/dksyn/SB03SY.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,451 +0,0 @@
-      SUBROUTINE SB03SY( JOB, TRANA, LYAPUN, N, T, LDT, U, LDU, XA,
-     $                   LDXA, SEPD, THNORM, IWORK, DWORK, LDWORK,
-     $                   INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To estimate the "separation" between the matrices op(A) and
-C     op(A)',
-C
-C     sepd(op(A),op(A)') = min norm(op(A)'*X*op(A) - X)/norm(X)
-C                        = 1 / norm(inv(Omega))
-C
-C     and/or the 1-norm of Theta, where op(A) = A or A' (A**T), and
-C     Omega and Theta are linear operators associated to the real
-C     discrete-time Lyapunov matrix equation
-C
-C            op(A)'*X*op(A) - X = C,
-C
-C     defined by
-C
-C     Omega(W) = op(A)'*W*op(A) - W,
-C     Theta(W) = inv(Omega(op(W)'*X*op(A) + op(A)'*X*op(W))).
-C
-C     The 1-norm condition estimators are used.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     JOB     CHARACTER*1
-C             Specifies the computation to be performed, as follows:
-C             = 'S':  Compute the separation only;
-C             = 'T':  Compute the norm of Theta only;
-C             = 'B':  Compute both the separation and the norm of Theta.
-C
-C     TRANA   CHARACTER*1
-C             Specifies the form of op(A) to be used, as follows:
-C             = 'N':  op(A) = A    (No transpose);
-C             = 'T':  op(A) = A**T (Transpose);
-C             = 'C':  op(A) = A**T (Conjugate transpose = Transpose).
-C
-C     LYAPUN  CHARACTER*1
-C             Specifies whether or not the original Lyapunov equations
-C             should be solved, as follows:
-C             = 'O':  Solve the original Lyapunov equations, updating
-C                     the right-hand sides and solutions with the
-C                     matrix U, e.g., X <-- U'*X*U;
-C             = 'R':  Solve reduced Lyapunov equations only, without
-C                     updating the right-hand sides and solutions.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the matrices A and X.  N >= 0.
-C
-C     T       (input) DOUBLE PRECISION array, dimension (LDT,N)
-C             The leading N-by-N upper Hessenberg part of this array
-C             must contain the upper quasi-triangular matrix T in Schur
-C             canonical form from a Schur factorization of A.
-C
-C     LDT     INTEGER
-C             The leading dimension of array T.  LDT >= MAX(1,N).
-C
-C     U       (input) DOUBLE PRECISION array, dimension (LDU,N)
-C             The leading N-by-N part of this array must contain the
-C             orthogonal matrix U from a real Schur factorization of A.
-C             If LYAPUN = 'R', the array U is not referenced.
-C
-C     LDU     INTEGER
-C             The leading dimension of array U.
-C             LDU >= 1,        if LYAPUN = 'R';
-C             LDU >= MAX(1,N), if LYAPUN = 'O'.
-C
-C     XA      (input) DOUBLE PRECISION array, dimension (LDXA,N)
-C             The leading N-by-N part of this array must contain the
-C             matrix product X*op(A), if LYAPUN = 'O', or U'*X*U*op(T),
-C             if LYAPUN = 'R', in the Lyapunov equation.
-C             If JOB = 'S', the array XA is not referenced.
-C
-C     LDXA    INTEGER
-C             The leading dimension of array XA.
-C             LDXA >= 1,        if JOB = 'S';
-C             LDXA >= MAX(1,N), if JOB = 'T' or 'B'.
-C
-C     SEPD    (output) DOUBLE PRECISION
-C             If JOB = 'S' or JOB = 'B', and INFO >= 0, SEPD contains
-C             the estimated quantity sepd(op(A),op(A)').
-C             If JOB = 'T' or N = 0, SEPD is not referenced.
-C
-C     THNORM  (output) DOUBLE PRECISION
-C             If JOB = 'T' or JOB = 'B', and INFO >= 0, THNORM contains
-C             the estimated 1-norm of operator Theta.
-C             If JOB = 'S' or N = 0, THNORM is not referenced.
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension (N*N)
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C
-C     LDWORK  INTEGER
-C             The length of the array DWORK.
-C             LDWORK >= 0,            if N = 0;
-C             LDWORK >= MAX(3,2*N*N), if N > 0.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = N+1:  if T has (almost) reciprocal eigenvalues;
-C                   perturbed values were used to solve Lyapunov
-C                   equations (but the matrix T is unchanged).
-C
-C     METHOD
-C
-C     SEPD is defined as
-C
-C            sepd( op(A), op(A)' ) = sigma_min( K )
-C
-C     where sigma_min(K) is the smallest singular value of the
-C     N*N-by-N*N matrix
-C
-C        K = kprod( op(A)', op(A)' ) - I(N**2).
-C
-C     I(N**2) is an N*N-by-N*N identity matrix, and kprod denotes the
-C     Kronecker product. The routine estimates sigma_min(K) by the
-C     reciprocal of an estimate of the 1-norm of inverse(K), computed as
-C     suggested in [1]. This involves the solution of several discrete-
-C     time Lyapunov equations, either direct or transposed. The true
-C     reciprocal 1-norm of inverse(K) cannot differ from sigma_min(K) by
-C     more than a factor of N.
-C     The 1-norm of Theta is estimated similarly.
-C
-C     REFERENCES
-C
-C     [1] Higham, N.J.
-C         FORTRAN codes for estimating the one-norm of a real or
-C         complex matrix, with applications to condition estimation.
-C         ACM Trans. Math. Softw., 14, pp. 381-396, 1988.
-C
-C     NUMERICAL ASPECTS
-C                               3
-C     The algorithm requires 0(N ) operations.
-C
-C     FURTHER COMMENTS
-C
-C     When SEPD is zero, the routine returns immediately, with THNORM
-C     (if requested) not set. In this case, the equation is singular.
-C     The option LYAPUN = 'R' may occasionally produce slightly worse
-C     or better estimates, and it is much faster than the option 'O'.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Romania,
-C     Oct. 1998. Partly based on DDLSVX (and then SB03SD) by P. Petkov,
-C     Tech. University of Sofia, March 1998 (and December 1998).
-C
-C     REVISIONS
-C
-C     February 6, 1999, V. Sima, Katholieke Univ. Leuven, Belgium.
-C     V. Sima, Research Institute for Informatics, Bucharest, Oct. 2004.
-C
-C     KEYWORDS
-C
-C     Lyapunov equation, orthogonal transformation, real Schur form.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE, HALF
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0, HALF = 0.5D+0 )
-C     ..
-C     .. Scalar Arguments ..
-      CHARACTER          JOB, LYAPUN, TRANA
-      INTEGER            INFO, LDT, LDU, LDWORK, LDXA, N
-      DOUBLE PRECISION   SEPD, THNORM
-C     ..
-C     .. Array Arguments ..
-      INTEGER            IWORK( * )
-      DOUBLE PRECISION   DWORK( * ), T( LDT, * ), U( LDU, * ),
-     $                   XA( LDXA, * )
-C     ..
-C     .. Local Scalars ..
-      LOGICAL            NOTRNA, UPDATE, WANTS, WANTT
-      CHARACTER          TRANAT, UPLO
-      INTEGER            INFO2, ITMP, KASE, NN
-      DOUBLE PRECISION   BIGNUM, EST, SCALE
-C     ..
-C     .. External Functions ..
-      LOGICAL            LSAME
-      DOUBLE PRECISION   DLAMCH, DLANSY
-      EXTERNAL           DLAMCH, DLANSY, LSAME
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DLACON, DLACPY, DSCAL, DSYR2K, MA02ED, MB01RU,
-     $                   SB03MX, XERBLA
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          MAX
-C     ..
-C     .. Executable Statements ..
-C
-C     Decode and Test input parameters.
-C
-      WANTS  = LSAME( JOB,    'S' )
-      WANTT  = LSAME( JOB,    'T' )
-      NOTRNA = LSAME( TRANA,  'N' )
-      UPDATE = LSAME( LYAPUN, 'O' )
-C
-      NN   = N*N
-      INFO = 0
-      IF( .NOT. ( WANTS .OR. WANTT .OR. LSAME( JOB, 'B' ) ) ) THEN
-         INFO = -1
-      ELSE IF( .NOT.( NOTRNA .OR. LSAME( TRANA, 'T' ) .OR.
-     $                            LSAME( TRANA, 'C' ) ) ) THEN
-         INFO = -2
-      ELSE IF( .NOT.( UPDATE .OR. LSAME( LYAPUN, 'R' ) ) ) THEN
-         INFO = -3
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( LDT.LT.MAX( 1, N ) ) THEN
-         INFO = -6
-      ELSE IF( LDU.LT.1 .OR. ( UPDATE .AND. LDU.LT.N ) ) THEN
-         INFO = -8
-      ELSE IF( LDXA.LT.1 .OR. ( .NOT.WANTS .AND. LDXA.LT.N ) ) THEN
-         INFO = -10
-      ELSE IF( LDWORK.LT.0 .OR.
-     $       ( LDWORK.LT.MAX( 3, 2*NN ) .AND. N.GT.0 ) ) THEN
-         INFO = -15
-      END IF
-C
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'SB03SY', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF( N.EQ.0 )
-     $   RETURN
-C
-      ITMP = NN + 1
-C
-      IF( NOTRNA ) THEN
-         TRANAT = 'T'
-      ELSE
-         TRANAT = 'N'
-      END IF
-C
-      IF( .NOT.WANTT ) THEN
-C
-C        Estimate sepd(op(A),op(A)').
-C        Workspace:  max(3,2*N*N).
-C
-         KASE = 0
-C
-C        REPEAT
-   10    CONTINUE
-         CALL DLACON( NN, DWORK( ITMP ), DWORK, IWORK, EST, KASE )
-         IF( KASE.NE.0 ) THEN
-C
-C           Select the triangular part of symmetric matrix to be used.
-C
-            IF( DLANSY( '1-norm', 'Upper', N, DWORK, N, DWORK( ITMP ) )
-     $          .GE.
-     $          DLANSY( '1-norm', 'Lower', N, DWORK, N, DWORK( ITMP ) )
-     $        ) THEN
-               UPLO = 'U'
-            ELSE
-               UPLO = 'L'
-            END IF
-C
-            IF( UPDATE ) THEN
-C
-C              Transform the right-hand side: RHS := U'*RHS*U.
-C
-               CALL MB01RU( UPLO, 'Transpose', N, N, ZERO, ONE, DWORK,
-     $                      N, U, LDU, DWORK, N, DWORK( ITMP ), NN,
-     $                      INFO2 )
-               CALL DSCAL( N, HALF, DWORK, N+1 )
-            END IF
-            CALL MA02ED( UPLO, N, DWORK, N )
-C
-            IF( KASE.EQ.1 ) THEN
-C
-C              Solve op(T)'*Y*op(T) - Y = scale*RHS.
-C
-               CALL SB03MX( TRANA, N, T, LDT, DWORK, N, SCALE,
-     $                      DWORK( ITMP ), INFO2 )
-            ELSE
-C
-C              Solve op(T)*W*op(T)' - W = scale*RHS.
-C
-               CALL SB03MX( TRANAT, N, T, LDT, DWORK, N, SCALE,
-     $                      DWORK( ITMP ), INFO2 )
-            END IF
-C
-            IF( INFO2.GT.0 )
-     $         INFO = N + 1
-C
-            IF( UPDATE ) THEN
-C
-C              Transform back to obtain the solution: Z := U*Z*U', with
-C              Z = Y or Z = W.
-C
-               CALL MB01RU( UPLO, 'No transpose', N, N, ZERO, ONE,
-     $                      DWORK, N, U, LDU, DWORK, N, DWORK( ITMP ),
-     $                      NN, INFO2 )
-               CALL DSCAL( N, HALF, DWORK, N+1 )
-C
-C              Fill in the remaining triangle of the symmetric matrix.
-C
-               CALL MA02ED( UPLO, N, DWORK, N )
-            END IF
-C
-            GO TO 10
-         END IF
-C        UNTIL KASE = 0
-C
-         IF( EST.GT.SCALE ) THEN
-            SEPD = SCALE / EST
-         ELSE
-            BIGNUM = ONE / DLAMCH( 'Safe minimum' )
-            IF( SCALE.LT.EST*BIGNUM ) THEN
-               SEPD = SCALE / EST
-            ELSE
-               SEPD = BIGNUM
-            END IF
-         END IF
-C
-C        Return if the equation is singular.
-C
-         IF( SEPD.EQ.ZERO )
-     $      RETURN
-      END IF
-C
-      IF( .NOT.WANTS ) THEN
-C
-C        Estimate norm(Theta).
-C        Workspace:  max(3,2*N*N).
-C
-         KASE = 0
-C
-C        REPEAT
-   20    CONTINUE
-         CALL DLACON( NN, DWORK( ITMP ), DWORK, IWORK, EST, KASE )
-         IF( KASE.NE.0 ) THEN
-C
-C           Select the triangular part of symmetric matrix to be used.
-C
-            IF( DLANSY( '1-norm', 'Upper', N, DWORK, N, DWORK( ITMP ) )
-     $          .GE.
-     $          DLANSY( '1-norm', 'Lower', N, DWORK, N, DWORK( ITMP ) )
-     $        ) THEN
-               UPLO = 'U'
-            ELSE
-               UPLO = 'L'
-            END IF
-C
-C           Fill in the remaining triangle of the symmetric matrix.
-C
-            CALL MA02ED( UPLO, N, DWORK, N )
-C
-C           Compute RHS = op(W)'*X*op(A) + op(A)'*X*op(W).
-C
-            CALL DSYR2K( UPLO, TRANAT, N, N, ONE, DWORK, N, XA, LDXA,
-     $                   ZERO, DWORK( ITMP ), N )
-            CALL DLACPY( UPLO, N, N, DWORK( ITMP ), N, DWORK, N )
-C
-            IF( UPDATE ) THEN
-C
-C              Transform the right-hand side: RHS := U'*RHS*U.
-C
-               CALL MB01RU( UPLO, 'Transpose', N, N, ZERO, ONE, DWORK,
-     $                      N, U, LDU, DWORK, N, DWORK( ITMP ), NN,
-     $                      INFO2 )
-               CALL DSCAL( N, HALF, DWORK, N+1 )
-            END IF
-            CALL MA02ED( UPLO, N, DWORK, N )
-C
-            IF( KASE.EQ.1 ) THEN
-C
-C              Solve op(T)'*Y*op(T) - Y = scale*RHS.
-C
-               CALL SB03MX( TRANA, N, T, LDT, DWORK, N, SCALE,
-     $                      DWORK( ITMP ), INFO2 )
-            ELSE
-C
-C              Solve op(T)*W*op(T)' - W = scale*RHS.
-C
-               CALL SB03MX( TRANAT, N, T, LDT, DWORK, N, SCALE,
-     $                      DWORK( ITMP ), INFO2 )
-            END IF
-C
-            IF( INFO2.GT.0 )
-     $         INFO = N + 1
-C
-            IF( UPDATE ) THEN
-C
-C              Transform back to obtain the solution: Z := U*Z*U', with
-C              Z = Y or Z = W.
-C
-               CALL MB01RU( UPLO, 'No transpose', N, N, ZERO, ONE,
-     $                      DWORK, N, U, LDU, DWORK, N, DWORK( ITMP ),
-     $                      NN, INFO2 )
-               CALL DSCAL( N, HALF, DWORK, N+1 )
-C
-C              Fill in the remaining triangle of the symmetric matrix.
-C
-               CALL MA02ED( UPLO, N, DWORK, N )
-            END IF
-C
-            GO TO 20
-         END IF
-C        UNTIL KASE = 0
-C
-         IF( EST.LT.SCALE ) THEN
-            THNORM = EST / SCALE
-         ELSE
-            BIGNUM = ONE / DLAMCH( 'Safe minimum' )
-            IF( EST.LT.SCALE*BIGNUM ) THEN
-               THNORM = EST / SCALE
-            ELSE
-               THNORM = BIGNUM
-            END IF
-         END IF
-      END IF
-C
-      RETURN
-C *** Last line of SB03SY ***
-      END
--- a/extra/control-devel/devel/dksyn/SB04PX.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,468 +0,0 @@
-      SUBROUTINE SB04PX( LTRANL, LTRANR, ISGN, N1, N2, TL, LDTL, TR,
-     $                   LDTR, B, LDB, SCALE, X, LDX, XNORM, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To solve for the N1-by-N2 matrix X, 1 <= N1,N2 <= 2, in
-C
-C            op(TL)*X*op(TR) + ISGN*X = SCALE*B,
-C
-C     where TL is N1-by-N1, TR is N2-by-N2, B is N1-by-N2, and ISGN = 1
-C     or -1.  op(T) = T or T', where T' denotes the transpose of T.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     LTRANL  LOGICAL
-C             Specifies the form of op(TL) to be used, as follows:
-C             = .FALSE.:  op(TL) = TL,
-C             = .TRUE. :  op(TL) = TL'.
-C
-C     LTRANR  LOGICAL
-C             Specifies the form of op(TR) to be used, as follows:
-C             = .FALSE.:  op(TR) = TR,
-C             = .TRUE. :  op(TR) = TR'.
-C
-C     ISGN    INTEGER
-C             Specifies the sign of the equation as described before.
-C             ISGN may only be 1 or -1.
-C
-C     Input/Output Parameters
-C
-C     N1      (input) INTEGER
-C             The order of matrix TL.  N1 may only be 0, 1 or 2.
-C
-C     N2      (input) INTEGER
-C             The order of matrix TR.  N2 may only be 0, 1 or 2.
-C
-C     TL      (input) DOUBLE PRECISION array, dimension (LDTL,N1)
-C             The leading N1-by-N1 part of this array must contain the
-C             matrix TL.
-C
-C     LDTL    INTEGER
-C             The leading dimension of array TL.  LDTL >= MAX(1,N1).
-C
-C     TR      (input) DOUBLE PRECISION array, dimension (LDTR,N2)
-C             The leading N2-by-N2 part of this array must contain the
-C             matrix TR.
-C
-C     LDTR    INTEGER
-C             The leading dimension of array TR.  LDTR >= MAX(1,N2).
-C
-C     B       (input) DOUBLE PRECISION array, dimension (LDB,N2)
-C             The leading N1-by-N2 part of this array must contain the
-C             right-hand side of the equation.
-C
-C     LDB     INTEGER
-C             The leading dimension of array B.  LDB >= MAX(1,N1).
-C
-C     SCALE   (output) DOUBLE PRECISION
-C             The scale factor. SCALE is chosen less than or equal to 1
-C             to prevent the solution overflowing.
-C
-C     X       (output) DOUBLE PRECISION array, dimension (LDX,N2)
-C             The leading N1-by-N2 part of this array contains the
-C             solution of the equation.
-C             Note that X may be identified with B in the calling
-C             statement.
-C
-C     LDX     INTEGER
-C             The leading dimension of array X.  LDX >= MAX(1,N1).
-C
-C     XNORM   (output) DOUBLE PRECISION
-C             The infinity-norm of the solution.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             = 1:  if TL and -ISGN*TR have almost reciprocal
-C                   eigenvalues, so TL or TR is perturbed to get a
-C                   nonsingular equation.
-C
-C             NOTE: In the interests of speed, this routine does not
-C                   check the inputs for errors.
-C
-C     METHOD
-C
-C     The equivalent linear algebraic system of equations is formed and
-C     solved using Gaussian elimination with complete pivoting.
-C
-C     REFERENCES
-C
-C     [1] Anderson, E., Bai, Z., Bischof, C., Demmel, J., Dongarra, J.,
-C         Du Croz, J., Greenbaum, A., Hammarling, S., McKenney, A.,
-C         Ostrouchov, S., and Sorensen, D.
-C         LAPACK Users' Guide: Second Edition.
-C         SIAM, Philadelphia, 1995.
-C
-C     NUMERICAL ASPECTS
-C
-C     The algorithm is stable and reliable, since Gaussian elimination
-C     with complete pivoting is used.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, May 2000.
-C     This is a modification and slightly more efficient version of
-C     SLICOT Library routine SB03MU.
-C
-C     REVISIONS
-C
-C     -
-C
-C     KEYWORDS
-C
-C     Discrete-time system, Sylvester equation, matrix algebra.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE, TWO, HALF, EIGHT
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0,
-     $                     TWO = 2.0D+0, HALF = 0.5D+0, EIGHT = 8.0D+0 )
-C     ..
-C     .. Scalar Arguments ..
-      LOGICAL            LTRANL, LTRANR
-      INTEGER            INFO, ISGN, LDB, LDTL, LDTR, LDX, N1, N2
-      DOUBLE PRECISION   SCALE, XNORM
-C     ..
-C     .. Array Arguments ..
-      DOUBLE PRECISION   B( LDB, * ), TL( LDTL, * ), TR( LDTR, * ),
-     $                   X( LDX, * )
-C     ..
-C     .. Local Scalars ..
-      LOGICAL            BSWAP, XSWAP
-      INTEGER            I, IP, IPIV, IPSV, J, JP, JPSV, K
-      DOUBLE PRECISION   BET, EPS, GAM, L21, SGN, SMIN, SMLNUM, TAU1,
-     $                   TEMP, U11, U12, U22, XMAX
-C     ..
-C     .. Local Arrays ..
-      LOGICAL            BSWPIV( 4 ), XSWPIV( 4 )
-      INTEGER            JPIV( 4 ), LOCL21( 4 ), LOCU12( 4 ),
-     $                   LOCU22( 4 )
-      DOUBLE PRECISION   BTMP( 4 ), T16( 4, 4 ), TMP( 4 ), X2( 2 )
-C     ..
-C     .. External Functions ..
-      INTEGER            IDAMAX
-      DOUBLE PRECISION   DLAMCH
-      EXTERNAL           DLAMCH, IDAMAX
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DSWAP
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          ABS, MAX
-C     ..
-C     .. Data statements ..
-      DATA               LOCU12 / 3, 4, 1, 2 / , LOCL21 / 2, 1, 4, 3 / ,
-     $                   LOCU22 / 4, 3, 2, 1 /
-      DATA               XSWPIV / .FALSE., .FALSE., .TRUE., .TRUE. /
-      DATA               BSWPIV / .FALSE., .TRUE., .FALSE., .TRUE. /
-C     ..
-C     .. Executable Statements ..
-C
-C     Do not check the input parameters for errors.
-C
-      INFO  = 0
-      SCALE = ONE
-C
-C     Quick return if possible.
-C
-      IF( N1.EQ.0 .OR. N2.EQ.0 ) THEN
-         XNORM = ZERO
-         RETURN
-      END IF
-C
-C     Set constants to control overflow.
-C
-      EPS = DLAMCH( 'P' )
-      SMLNUM = DLAMCH( 'S' ) / EPS
-      SGN = ISGN
-C
-      K = N1 + N1 + N2 - 2
-      GO TO ( 10, 20, 30, 50 )K
-C
-C     1-by-1: TL11*X*TR11 + ISGN*X = B11.
-C
-   10 CONTINUE
-      TAU1 = TL( 1, 1 )*TR( 1, 1 ) + SGN
-      BET  = ABS( TAU1 )
-      IF( BET.LE.SMLNUM ) THEN
-         TAU1 = SMLNUM
-         BET  = SMLNUM
-         INFO = 1
-      END IF
-C
-      GAM = ABS( B( 1, 1 ) )
-      IF( SMLNUM*GAM.GT.BET )
-     $   SCALE = ONE / GAM
-C
-      X( 1, 1 ) = ( B( 1, 1 )*SCALE ) / TAU1
-      XNORM = ABS( X( 1, 1 ) )
-      RETURN
-C
-C     1-by-2:
-C     TL11*[X11 X12]*op[TR11 TR12] + ISGN*[X11 X12] = [B11 B12].
-C                      [TR21 TR22]
-C
-   20 CONTINUE
-C
-      SMIN = MAX( MAX( ABS( TR( 1, 1 ) ), ABS( TR( 1, 2 ) ),
-     $                 ABS( TR( 2, 1 ) ), ABS( TR( 2, 2 ) ) )
-     $                *ABS( TL( 1, 1 ) )*EPS,
-     $            SMLNUM )
-      TMP( 1 ) = TL( 1, 1 )*TR( 1, 1 ) + SGN
-      TMP( 4 ) = TL( 1, 1 )*TR( 2, 2 ) + SGN
-      IF( LTRANR ) THEN
-         TMP( 2 ) = TL( 1, 1 )*TR( 2, 1 )
-         TMP( 3 ) = TL( 1, 1 )*TR( 1, 2 )
-      ELSE
-         TMP( 2 ) = TL( 1, 1 )*TR( 1, 2 )
-         TMP( 3 ) = TL( 1, 1 )*TR( 2, 1 )
-      END IF
-      BTMP( 1 ) = B( 1, 1 )
-      BTMP( 2 ) = B( 1, 2 )
-      GO TO 40
-C
-C     2-by-1:
-C     op[TL11 TL12]*[X11]*TR11 + ISGN*[X11] = [B11].
-C       [TL21 TL22] [X21]             [X21]   [B21]
-C
-   30 CONTINUE
-      SMIN = MAX( MAX( ABS( TL( 1, 1 ) ), ABS( TL( 1, 2 ) ),
-     $                 ABS( TL( 2, 1 ) ), ABS( TL( 2, 2 ) ) )
-     $                *ABS( TR( 1, 1 ) )*EPS,
-     $            SMLNUM )
-      TMP( 1 ) = TL( 1, 1 )*TR( 1, 1 ) + SGN
-      TMP( 4 ) = TL( 2, 2 )*TR( 1, 1 ) + SGN
-      IF( LTRANL ) THEN
-         TMP( 2 ) = TL( 1, 2 )*TR( 1, 1 )
-         TMP( 3 ) = TL( 2, 1 )*TR( 1, 1 )
-      ELSE
-         TMP( 2 ) = TL( 2, 1 )*TR( 1, 1 )
-         TMP( 3 ) = TL( 1, 2 )*TR( 1, 1 )
-      END IF
-      BTMP( 1 ) = B( 1, 1 )
-      BTMP( 2 ) = B( 2, 1 )
-   40 CONTINUE
-C
-C     Solve 2-by-2 system using complete pivoting.
-C     Set pivots less than SMIN to SMIN.
-C
-      IPIV = IDAMAX( 4, TMP, 1 )
-      U11  = TMP( IPIV )
-      IF( ABS( U11 ).LE.SMIN ) THEN
-         INFO = 1
-         U11  = SMIN
-      END IF
-      U12 = TMP( LOCU12( IPIV ) )
-      L21 = TMP( LOCL21( IPIV ) ) / U11
-      U22 = TMP( LOCU22( IPIV ) ) - U12*L21
-      XSWAP = XSWPIV( IPIV )
-      BSWAP = BSWPIV( IPIV )
-      IF( ABS( U22 ).LE.SMIN ) THEN
-         INFO = 1
-         U22  = SMIN
-      END IF
-      IF( BSWAP ) THEN
-         TEMP = BTMP( 2 )
-         BTMP( 2 ) = BTMP( 1 ) - L21*TEMP
-         BTMP( 1 ) = TEMP
-      ELSE
-         BTMP( 2 ) = BTMP( 2 ) - L21*BTMP( 1 )
-      END IF
-      IF( ( TWO*SMLNUM )*ABS( BTMP( 2 ) ).GT.ABS( U22 ) .OR.
-     $    ( TWO*SMLNUM )*ABS( BTMP( 1 ) ).GT.ABS( U11 ) ) THEN
-         SCALE = HALF / MAX( ABS( BTMP( 1 ) ), ABS( BTMP( 2 ) ) )
-         BTMP( 1 ) = BTMP( 1 )*SCALE
-         BTMP( 2 ) = BTMP( 2 )*SCALE
-      END IF
-      X2( 2 ) = BTMP( 2 ) / U22
-      X2( 1 ) = BTMP( 1 ) / U11 - ( U12 / U11 )*X2( 2 )
-      IF( XSWAP ) THEN
-         TEMP = X2( 2 )
-         X2( 2 ) = X2( 1 )
-         X2( 1 ) = TEMP
-      END IF
-      X( 1, 1 ) = X2( 1 )
-      IF( N1.EQ.1 ) THEN
-         X( 1, 2 ) = X2( 2 )
-         XNORM = ABS( X2( 1 ) ) + ABS( X2( 2 ) )
-      ELSE
-         X( 2, 1 ) = X2( 2 )
-         XNORM = MAX( ABS( X2( 1 ) ), ABS( X2( 2 ) ) )
-      END IF
-      RETURN
-C
-C     2-by-2:
-C     op[TL11 TL12]*[X11 X12]*op[TR11 TR12] + ISGN*[X11 X12] = [B11 B12]
-C       [TL21 TL22] [X21 X22]   [TR21 TR22]        [X21 X22]   [B21 B22]
-C
-C     Solve equivalent 4-by-4 system using complete pivoting.
-C     Set pivots less than SMIN to SMIN.
-C
-   50 CONTINUE
-      SMIN = MAX( ABS( TR( 1, 1 ) ), ABS( TR( 1, 2 ) ),
-     $            ABS( TR( 2, 1 ) ), ABS( TR( 2, 2 ) ) )
-      SMIN = MAX( ABS( TL( 1, 1 ) ), ABS( TL( 1, 2 ) ),
-     $            ABS( TL( 2, 1 ) ), ABS( TL( 2, 2 ) ) )*SMIN
-      SMIN = MAX( EPS*SMIN, SMLNUM )
-      T16( 1, 1 ) = TL( 1, 1 )*TR( 1, 1 ) + SGN
-      T16( 2, 2 ) = TL( 2, 2 )*TR( 1, 1 ) + SGN
-      T16( 3, 3 ) = TL( 1, 1 )*TR( 2, 2 ) + SGN
-      T16( 4, 4 ) = TL( 2, 2 )*TR( 2, 2 ) + SGN
-      IF( LTRANL ) THEN
-         T16( 1, 2 ) = TL( 2, 1 )*TR( 1, 1 )
-         T16( 2, 1 ) = TL( 1, 2 )*TR( 1, 1 )
-         T16( 3, 4 ) = TL( 2, 1 )*TR( 2, 2 )
-         T16( 4, 3 ) = TL( 1, 2 )*TR( 2, 2 )
-      ELSE
-         T16( 1, 2 ) = TL( 1, 2 )*TR( 1, 1 )
-         T16( 2, 1 ) = TL( 2, 1 )*TR( 1, 1 )
-         T16( 3, 4 ) = TL( 1, 2 )*TR( 2, 2 )
-         T16( 4, 3 ) = TL( 2, 1 )*TR( 2, 2 )
-      END IF
-      IF( LTRANR ) THEN
-         T16( 1, 3 ) = TL( 1, 1 )*TR( 1, 2 )
-         T16( 2, 4 ) = TL( 2, 2 )*TR( 1, 2 )
-         T16( 3, 1 ) = TL( 1, 1 )*TR( 2, 1 )
-         T16( 4, 2 ) = TL( 2, 2 )*TR( 2, 1 )
-      ELSE
-         T16( 1, 3 ) = TL( 1, 1 )*TR( 2, 1 )
-         T16( 2, 4 ) = TL( 2, 2 )*TR( 2, 1 )
-         T16( 3, 1 ) = TL( 1, 1 )*TR( 1, 2 )
-         T16( 4, 2 ) = TL( 2, 2 )*TR( 1, 2 )
-      END IF
-      IF( LTRANL .AND. LTRANR ) THEN
-         T16( 1, 4 ) = TL( 2, 1 )*TR( 1, 2 )
-         T16( 2, 3 ) = TL( 1, 2 )*TR( 1, 2 )
-         T16( 3, 2 ) = TL( 2, 1 )*TR( 2, 1 )
-         T16( 4, 1 ) = TL( 1, 2 )*TR( 2, 1 )
-      ELSE IF( LTRANL .AND. .NOT.LTRANR ) THEN
-         T16( 1, 4 ) = TL( 2, 1 )*TR( 2, 1 )
-         T16( 2, 3 ) = TL( 1, 2 )*TR( 2, 1 )
-         T16( 3, 2 ) = TL( 2, 1 )*TR( 1, 2 )
-         T16( 4, 1 ) = TL( 1, 2 )*TR( 1, 2 )
-      ELSE IF( .NOT.LTRANL .AND. LTRANR ) THEN
-          T16( 1, 4 ) = TL( 1, 2 )*TR( 1, 2 )
-          T16( 2, 3 ) = TL( 2, 1 )*TR( 1, 2 )
-          T16( 3, 2 ) = TL( 1, 2 )*TR( 2, 1 )
-          T16( 4, 1 ) = TL( 2, 1 )*TR( 2, 1 )
-      ELSE
-          T16( 1, 4 ) = TL( 1, 2 )*TR( 2, 1 )
-          T16( 2, 3 ) = TL( 2, 1 )*TR( 2, 1 )
-          T16( 3, 2 ) = TL( 1, 2 )*TR( 1, 2 )
-          T16( 4, 1 ) = TL( 2, 1 )*TR( 1, 2 )
-      END IF
-      BTMP( 1 ) = B( 1, 1 )
-      BTMP( 2 ) = B( 2, 1 )
-      BTMP( 3 ) = B( 1, 2 )
-      BTMP( 4 ) = B( 2, 2 )
-C
-C     Perform elimination.
-C
-      DO 100 I = 1, 3
-         XMAX = ZERO
-C
-         DO 70 IP = I, 4
-C
-            DO 60 JP = I, 4
-               IF( ABS( T16( IP, JP ) ).GE.XMAX ) THEN
-                  XMAX = ABS( T16( IP, JP ) )
-                  IPSV = IP
-                  JPSV = JP
-               END IF
-   60       CONTINUE
-C
-   70    CONTINUE
-C
-         IF( IPSV.NE.I ) THEN
-            CALL DSWAP( 4, T16( IPSV, 1 ), 4, T16( I, 1 ), 4 )
-            TEMP = BTMP( I )
-            BTMP( I ) = BTMP( IPSV )
-            BTMP( IPSV ) = TEMP
-         END IF
-         IF( JPSV.NE.I )
-     $      CALL DSWAP( 4, T16( 1, JPSV ), 1, T16( 1, I ), 1 )
-         JPIV( I ) = JPSV
-         IF( ABS( T16( I, I ) ).LT.SMIN ) THEN
-            INFO = 1
-            T16( I, I ) = SMIN
-         END IF
-C
-         DO 90 J = I + 1, 4
-            T16( J, I ) = T16( J, I ) / T16( I, I )
-            BTMP( J ) = BTMP( J ) - T16( J, I )*BTMP( I )
-C
-            DO 80 K = I + 1, 4
-               T16( J, K ) = T16( J, K ) - T16( J, I )*T16( I, K )
-   80       CONTINUE
-C
-   90    CONTINUE
-C
-  100 CONTINUE
-C
-      IF( ABS( T16( 4, 4 ) ).LT.SMIN )
-     $   T16( 4, 4 ) = SMIN
-      IF( ( EIGHT*SMLNUM )*ABS( BTMP( 1 ) ).GT.ABS( T16( 1, 1 ) ) .OR.
-     $    ( EIGHT*SMLNUM )*ABS( BTMP( 2 ) ).GT.ABS( T16( 2, 2 ) ) .OR.
-     $    ( EIGHT*SMLNUM )*ABS( BTMP( 3 ) ).GT.ABS( T16( 3, 3 ) ) .OR.
-     $    ( EIGHT*SMLNUM )*ABS( BTMP( 4 ) ).GT.ABS( T16( 4, 4 ) ) ) THEN
-         SCALE = ( ONE / EIGHT ) / MAX( ABS( BTMP( 1 ) ),
-     $                ABS( BTMP( 2 ) ), ABS( BTMP( 3 ) ),
-     $                ABS( BTMP( 4 ) ) )
-         BTMP( 1 ) = BTMP( 1 )*SCALE
-         BTMP( 2 ) = BTMP( 2 )*SCALE
-         BTMP( 3 ) = BTMP( 3 )*SCALE
-         BTMP( 4 ) = BTMP( 4 )*SCALE
-      END IF
-C
-      DO 120 I = 1, 4
-         K = 5 - I
-         TEMP = ONE / T16( K, K )
-         TMP( K ) = BTMP( K )*TEMP
-C
-         DO 110 J = K + 1, 4
-            TMP( K ) = TMP( K ) - ( TEMP*T16( K, J ) )*TMP( J )
-  110    CONTINUE
-C
-  120 CONTINUE
-C
-      DO 130 I = 1, 3
-         IF( JPIV( 4-I ).NE.4-I ) THEN
-            TEMP = TMP( 4-I )
-            TMP( 4-I ) = TMP( JPIV( 4-I ) )
-            TMP( JPIV( 4-I ) ) = TEMP
-         END IF
-  130 CONTINUE
-C
-      X( 1, 1 ) = TMP( 1 )
-      X( 2, 1 ) = TMP( 2 )
-      X( 1, 2 ) = TMP( 3 )
-      X( 2, 2 ) = TMP( 4 )
-      XNORM = MAX( ABS( TMP( 1 ) ) + ABS( TMP( 3 ) ),
-     $             ABS( TMP( 2 ) ) + ABS( TMP( 4 ) ) )
-C
-      RETURN
-C *** Last line of SB04PX ***
-      END
--- a/extra/control-devel/devel/dksyn/SB10AD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,827 +0,0 @@
-      SUBROUTINE SB10AD( JOB, N, M, NP, NCON, NMEAS, GAMMA, A, LDA,
-     $                   B, LDB, C, LDC, D, LDD, AK, LDAK, BK, LDBK, CK,
-     $                   LDCK, DK, LDDK, AC, LDAC, BC, LDBC, CC, LDCC,
-     $                   DC, LDDC, RCOND, GTOL, ACTOL, IWORK, LIWORK,
-     $                   DWORK, LDWORK, BWORK, LBWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To compute the matrices of an H-infinity optimal n-state
-C     controller
-C
-C              | AK | BK |
-C          K = |----|----|,
-C              | CK | DK |
-C
-C     using modified Glover's and Doyle's 1988 formulas, for the system
-C
-C              | A  | B1  B2  |   | A | B |
-C          P = |----|---------| = |---|---|
-C              | C1 | D11 D12 |   | C | D |
-C              | C2 | D21 D22 |
-C
-C     and for the estimated minimal possible value of gamma with respect
-C     to GTOL, where B2 has as column size the number of control inputs
-C     (NCON) and C2 has as row size the number of measurements (NMEAS)
-C     being provided to the controller, and then to compute the matrices
-C     of the closed-loop system
-C
-C              | AC | BC |
-C          G = |----|----|,
-C              | CC | DC |
-C
-C     if the stabilizing controller exists.
-C
-C     It is assumed that
-C
-C     (A1) (A,B2) is stabilizable and (C2,A) is detectable,
-C
-C     (A2) D12 is full column rank and D21 is full row rank,
-C
-C     (A3) | A-j*omega*I  B2  | has full column rank for all omega,
-C          |    C1        D12 |
-C
-C     (A4) | A-j*omega*I  B1  |  has full row rank for all omega.
-C          |    C2        D21 |
-C
-C     ARGUMENTS
-C
-C     Input/Output Parameters
-C
-C     JOB     (input) INTEGER
-C             Indicates the strategy for reducing the GAMMA value, as
-C             follows:
-C             = 1: Use bisection method for decreasing GAMMA from GAMMA
-C                  to GAMMAMIN until the closed-loop system leaves
-C                  stability.
-C             = 2: Scan from GAMMA to 0 trying to find the minimal GAMMA
-C                  for which the closed-loop system retains stability.
-C             = 3: First bisection, then scanning.
-C             = 4: Find suboptimal controller only.
-C
-C     N       (input) INTEGER
-C             The order of the system.  N >= 0.
-C
-C     M       (input) INTEGER
-C             The column size of the matrix B.  M >= 0.
-C
-C     NP      (input) INTEGER
-C             The row size of the matrix C.  NP >= 0.
-C
-C     NCON    (input) INTEGER
-C             The number of control inputs (M2).  M >= NCON >= 0,
-C             NP-NMEAS >= NCON.
-C
-C     NMEAS   (input) INTEGER
-C             The number of measurements (NP2).  NP >= NMEAS >= 0,
-C             M-NCON >= NMEAS.
-C
-C     GAMMA   (input/output) DOUBLE PRECISION
-C             The initial value of gamma on input. It is assumed that
-C             gamma is sufficiently large so that the controller is
-C             admissible. GAMMA >= 0.
-C             On output it contains the minimal estimated gamma.
-C
-C     A       (input) DOUBLE PRECISION array, dimension (LDA,N)
-C             The leading N-by-N part of this array must contain the
-C             system state matrix A.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.  LDA >= max(1,N).
-C
-C     B       (input) DOUBLE PRECISION array, dimension (LDB,M)
-C             The leading N-by-M part of this array must contain the
-C             system input matrix B.
-C
-C     LDB     INTEGER
-C             The leading dimension of the array B.  LDB >= max(1,N).
-C
-C     C       (input) DOUBLE PRECISION array, dimension (LDC,N)
-C             The leading NP-by-N part of this array must contain the
-C             system output matrix C.
-C
-C     LDC     INTEGER
-C             The leading dimension of the array C.  LDC >= max(1,NP).
-C
-C     D       (input) DOUBLE PRECISION array, dimension (LDD,M)
-C             The leading NP-by-M part of this array must contain the
-C             system input/output matrix D.
-C
-C     LDD     INTEGER
-C             The leading dimension of the array D.  LDD >= max(1,NP).
-C
-C     AK      (output) DOUBLE PRECISION array, dimension (LDAK,N)
-C             The leading N-by-N part of this array contains the
-C             controller state matrix AK.
-C
-C     LDAK    INTEGER
-C             The leading dimension of the array AK.  LDAK >= max(1,N).
-C
-C     BK      (output) DOUBLE PRECISION array, dimension (LDBK,NMEAS)
-C             The leading N-by-NMEAS part of this array contains the
-C             controller input matrix BK.
-C
-C     LDBK    INTEGER
-C             The leading dimension of the array BK.  LDBK >= max(1,N).
-C
-C     CK      (output) DOUBLE PRECISION array, dimension (LDCK,N)
-C             The leading NCON-by-N part of this array contains the
-C             controller output matrix CK.
-C
-C     LDCK    INTEGER
-C             The leading dimension of the array CK.
-C             LDCK >= max(1,NCON).
-C
-C     DK      (output) DOUBLE PRECISION array, dimension (LDDK,NMEAS)
-C             The leading NCON-by-NMEAS part of this array contains the
-C             controller input/output matrix DK.
-C
-C     LDDK    INTEGER
-C             The leading dimension of the array DK.
-C             LDDK >= max(1,NCON).
-C
-C     AC      (output) DOUBLE PRECISION array, dimension (LDAC,2*N)
-C             The leading 2*N-by-2*N part of this array contains the
-C             closed-loop system state matrix AC.
-C
-C     LDAC    INTEGER
-C             The leading dimension of the array AC.
-C             LDAC >= max(1,2*N).
-C
-C     BC      (output) DOUBLE PRECISION array, dimension (LDBC,M-NCON)
-C             The leading 2*N-by-(M-NCON) part of this array contains
-C             the closed-loop system input matrix BC.
-C
-C     LDBC    INTEGER
-C             The leading dimension of the array BC.
-C             LDBC >= max(1,2*N).
-C
-C     CC      (output) DOUBLE PRECISION array, dimension (LDCC,2*N)
-C             The leading (NP-NMEAS)-by-2*N part of this array contains
-C             the closed-loop system output matrix CC.
-C
-C     LDCC    INTEGER
-C             The leading dimension of the array CC.
-C             LDCC >= max(1,NP-NMEAS).
-C
-C     DC      (output) DOUBLE PRECISION array, dimension (LDDC,M-NCON)
-C             The leading (NP-NMEAS)-by-(M-NCON) part of this array
-C             contains the closed-loop system input/output matrix DC.
-C
-C     LDDC    INTEGER
-C             The leading dimension of the array DC.
-C             LDDC >= max(1,NP-NMEAS).
-C
-C     RCOND   (output) DOUBLE PRECISION array, dimension (4)
-C                      For the last successful step:
-C             RCOND(1) contains the reciprocal condition number of the
-C                      control transformation matrix;
-C             RCOND(2) contains the reciprocal condition number of the
-C                      measurement transformation matrix;
-C             RCOND(3) contains an estimate of the reciprocal condition
-C                      number of the X-Riccati equation;
-C             RCOND(4) contains an estimate of the reciprocal condition
-C                      number of the Y-Riccati equation.
-C
-C     Tolerances
-C
-C     GTOL    DOUBLE PRECISION
-C             Tolerance used for controlling the accuracy of GAMMA
-C             and its distance to the estimated minimal possible
-C             value of GAMMA.
-C             If GTOL <= 0, then a default value equal to sqrt(EPS)
-C             is used, where EPS is the relative machine precision.
-C
-C     ACTOL   DOUBLE PRECISION
-C             Upper bound for the poles of the closed-loop system
-C             used for determining if it is stable.
-C             ACTOL <= 0 for stable systems.
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension (LIWORK)
-C
-C     LIWORK  INTEGER
-C             The dimension of the array IWORK.
-C             LIWORK >= max(2*max(N,M-NCON,NP-NMEAS,NCON,NMEAS),N*N)
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if INFO = 0, DWORK(1) contains the optimal
-C             value of LDWORK.
-C
-C     LDWORK  INTEGER
-C             The dimension of the array DWORK.
-C             LDWORK >= LW1 + max(1,LW2,LW3,LW4,LW5 + MAX(LW6,LW7)),
-C             where
-C             LW1 = N*M + NP*N + NP*M + M2*M2 + NP2*NP2;
-C             LW2 = max( ( N + NP1 + 1 )*( N + M2 ) +
-C                          max( 3*( N + M2 ) + N + NP1, 5*( N + M2 ) ),
-C                        ( N + NP2 )*( N + M1 + 1 ) +
-C                          max( 3*( N + NP2 ) + N + M1, 5*( N + NP2 ) ),
-C                        M2 + NP1*NP1 + max( NP1*max( N, M1 ),
-C                                            3*M2 + NP1, 5*M2 ),
-C                        NP2 + M1*M1 +  max( max( N, NP1 )*M1,
-C                                            3*NP2 + M1, 5*NP2 ) );
-C             LW3 = max( ND1*M1 + max( 4*min( ND1, M1 ) + max( ND1,M1 ),
-C                                      6*min( ND1, M1 ) ),
-C                        NP1*ND2 + max( 4*min( NP1, ND2 ) +
-C                                                        max( NP1,ND2 ),
-C                                       6*min( NP1, ND2 ) ) );
-C             LW4 = 2*M*M + NP*NP + 2*M*N + M*NP + 2*N*NP;
-C             LW5 = 2*N*N + M*N + N*NP;
-C             LW6 = max( M*M   + max( 2*M1, 3*N*N +
-C                                     max( N*M, 10*N*N + 12*N + 5 ) ),
-C                        NP*NP + max( 2*NP1, 3*N*N +
-C                                     max( N*NP, 10*N*N + 12*N + 5 ) ));
-C             LW7 = M2*NP2 + NP2*NP2 + M2*M2 +
-C                   max( ND1*ND1 + max( 2*ND1, ( ND1 + ND2 )*NP2 ),
-C                        ND2*ND2 + max( 2*ND2, ND2*M2 ), 3*N,
-C                        N*( 2*NP2 + M2 ) +
-C                        max( 2*N*M2, M2*NP2 +
-C                                     max( M2*M2 + 3*M2, NP2*( 2*NP2 +
-C                                          M2 + max( NP2, N ) ) ) ) );
-C             M1  = M   - M2, NP1 = NP - NP2,
-C             ND1 = NP1 - M2, ND2 = M1 - NP2.
-C             For good performance, LDWORK must generally be larger.
-C
-C     BWORK   LOGICAL array, dimension (LBWORK)
-C
-C     LBWORK  INTEGER
-C             The dimension of the array BWORK.  LBWORK >= 2*N.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = 1:  if the matrix | A-j*omega*I  B2  | had not full
-C                                 |    C1        D12 |
-C                   column rank in respect to the tolerance EPS;
-C             = 2:  if the matrix | A-j*omega*I  B1  |  had not full row
-C                                 |    C2        D21 |
-C                   rank in respect to the tolerance EPS;
-C             = 3:  if the matrix D12 had not full column rank in
-C                   respect to the tolerance SQRT(EPS);
-C             = 4:  if the matrix D21 had not full row rank in respect
-C                   to the tolerance SQRT(EPS);
-C             = 5:  if the singular value decomposition (SVD) algorithm
-C                   did not converge (when computing the SVD of one of
-C                   the matrices |A   B2 |, |A   B1 |, D12 or D21);
-C                                |C1  D12|  |C2  D21|
-C             = 6:  if the controller is not admissible (too small value
-C                   of gamma);
-C             = 7:  if the X-Riccati equation was not solved
-C                   successfully (the controller is not admissible or
-C                   there are numerical difficulties);
-C             = 8:  if the Y-Riccati equation was not solved
-C                   successfully (the controller is not admissible or
-C                   there are numerical difficulties);
-C             = 9:  if the determinant of Im2 + Tu*D11HAT*Ty*D22 is
-C                   zero [3];
-C             = 10: if there are numerical problems when estimating
-C                   singular values of D1111, D1112, D1111', D1121';
-C             = 11: if the matrices Inp2 - D22*DK or Im2 - DK*D22
-C                   are singular to working precision;
-C             = 12: if a stabilizing controller cannot be found.
-C
-C     METHOD
-C
-C     The routine implements the Glover's and Doyle's 1988 formulas [1],
-C     [2], modified to improve the efficiency as described in [3].
-C
-C     JOB = 1: It tries with a decreasing value of GAMMA, starting with
-C     the given, and with the newly obtained controller estimates of the
-C     closed-loop system. If it is stable, (i.e., max(eig(AC)) < ACTOL)
-C     the iterations can be continued until the given tolerance between
-C     GAMMA and the estimated GAMMAMIN is reached. Otherwise, in the
-C     next step GAMMA is increased. The step in the all next iterations
-C     is step = step/2. The closed-loop system is obtained by the
-C     formulas given in [2].
-C
-C     JOB = 2: The same as for JOB = 1, but with non-varying step till
-C     GAMMA = 0, step = max(0.1, GTOL).
-C
-C     JOB = 3: Combines the JOB = 1 and JOB = 2 cases for a quicker
-C     procedure.
-C
-C     JOB = 4: Suboptimal controller for current GAMMA only.
-C
-C     REFERENCES
-C
-C     [1] Glover, K. and Doyle, J.C.
-C         State-space formulae for all stabilizing controllers that
-C         satisfy an Hinf norm bound and relations to risk sensitivity.
-C         Systems and Control Letters, vol. 11, pp. 167-172, 1988.
-C
-C     [2] Balas, G.J., Doyle, J.C., Glover, K., Packard, A., and
-C         Smith, R.
-C         mu-Analysis and Synthesis Toolbox.
-C         The MathWorks Inc., Natick, MA, 1995.
-C
-C     [3] Petkov, P.Hr., Gu, D.W., and Konstantinov, M.M.
-C         Fortran 77 routines for Hinf and H2 design of continuous-time
-C         linear control systems.
-C         Rep. 98-14, Department of Engineering, Leicester University,
-C         Leicester, U.K., 1998.
-C
-C     NUMERICAL ASPECTS
-C
-C     The accuracy of the result depends on the condition numbers of the
-C     input and output transformations and on the condition numbers of
-C     the two Riccati equations, as given by the values of RCOND(1),
-C     RCOND(2), RCOND(3) and RCOND(4), respectively.
-C     This approach by estimating the closed-loop system and checking
-C     its poles seems to be reliable.
-C
-C     CONTRIBUTORS
-C
-C     A. Markovski, P.Hr. Petkov, D.W. Gu and M.M. Konstantinov,
-C     July 2003.
-C
-C     REVISIONS
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Aug. 2003.
-C
-C     KEYWORDS
-C
-C     Algebraic Riccati equation, H-infinity optimal control, robust
-C     control.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE, TWO, P1, THOUS
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0, TWO = 2.0D+0,
-     $                     P1 = 0.1D+0, THOUS = 1.0D+3 )
-C     ..
-C     .. Scalar Arguments ..
-      INTEGER            INFO, JOB, LBWORK, LDA, LDAC, LDAK, LDB, LDBC,
-     $                   LDBK, LDC, LDCC, LDCK, LDD, LDDC, LDDK, LDWORK,
-     $                   LIWORK, M, N, NCON, NMEAS, NP
-      DOUBLE PRECISION   ACTOL, GAMMA, GTOL
-C     ..
-C     .. Array Arguments ..
-      LOGICAL            BWORK( * )
-      INTEGER            IWORK( * )
-      DOUBLE PRECISION   A( LDA, * ), AC( LDAC, * ), AK( LDAK, * ),
-     $                   B( LDB, * ), BC( LDBC, * ), BK( LDBK, * ),
-     $                   C( LDC, * ), CC( LDCC, * ), CK( LDCK, * ),
-     $                   D( LDD, * ), DC( LDDC, * ), DK( LDDK, * ),
-     $                   DWORK( * ), RCOND( 4 )
-C     ..
-C     .. Local Scalars ..
-      INTEGER            I, INF, INFO2, INFO3, IWAC, IWC, IWD, IWD1,
-     $                   IWF, IWH, IWRE, IWRK, IWS1, IWS2, IWTU, IWTY,
-     $                   IWWI, IWWR, IWX, IWY, LW1, LW2, LW3, LW4, LW5,
-     $                   LW6, LW7, LWAMAX, M1, M11, M2, MINWRK, MODE,
-     $                   NP1, NP11, NP2
-      DOUBLE PRECISION   GAMABS, GAMAMN, GAMAMX, GTOLL, MINEAC, STEPG,
-     $                   TOL2
-C     ..
-C     .. External Functions ..
-      LOGICAL            SELECT
-      DOUBLE PRECISION   DLAMCH
-      EXTERNAL           DLAMCH, SELECT
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DGEES, DGESVD, DLACPY, SB10LD, SB10PD, SB10QD,
-     $                   SB10RD, XERBLA
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          DBLE, INT, MAX, MIN, SQRT
-C     ..
-C     .. Executable Statements ..
-C
-C     Decode and test input parameters.
-C
-      M1   = M - NCON
-      M2   = NCON
-      NP1  = NP - NMEAS
-      NP2  = NMEAS
-      NP11 = NP1 - M2
-      M11  = M1 - NP2
-C
-      INFO = 0
-      IF ( JOB.LT.1 .OR. JOB.GT.4 ) THEN
-         INFO = -1
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( NP.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( NCON.LT.0 .OR. M1.LT.0 .OR. M2.GT.NP1 ) THEN
-         INFO = -5
-      ELSE IF( NMEAS.LT.0 .OR. NP1.LT.0 .OR. NP2.GT.M1 ) THEN
-         INFO = -6
-      ELSE IF( GAMMA.LT.ZERO ) THEN
-         INFO = -7
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -9
-      ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
-         INFO = -11
-      ELSE IF( LDC.LT.MAX( 1, NP ) ) THEN
-         INFO = -13
-      ELSE IF( LDD.LT.MAX( 1, NP ) ) THEN
-         INFO = -15
-      ELSE IF( LDAK.LT.MAX( 1, N ) ) THEN
-         INFO = -17
-      ELSE IF( LDBK.LT.MAX( 1, N ) ) THEN
-         INFO = -19
-      ELSE IF( LDCK.LT.MAX( 1, M2 ) ) THEN
-         INFO = -21
-      ELSE IF( LDDK.LT.MAX( 1, M2 ) ) THEN
-         INFO = -23
-      ELSE IF( LDAC.LT.MAX( 1, 2*N ) ) THEN
-         INFO = -25
-      ELSE IF( LDBC.LT.MAX( 1, 2*N ) ) THEN
-         INFO = -27
-      ELSE IF( LDCC.LT.MAX( 1, NP1 ) ) THEN
-         INFO = -29
-      ELSE IF( LDDC.LT.MAX( 1, NP1 ) ) THEN
-         INFO = -31
-      ELSE
-C
-C        Compute workspace.
-C
-         LW1 = N*M + NP*N + NP*M + M2*M2 + NP2*NP2
-         LW2 = MAX( ( N + NP1 + 1 )*( N + M2 ) +
-     $                MAX( 3*( N + M2 ) + N + NP1, 5*( N + M2 ) ),
-     $              ( N + NP2 )*( N + M1 + 1 ) +
-     $                MAX( 3*( N + NP2 ) + N + M1, 5*( N + NP2 ) ),
-     $              M2 + NP1*NP1 + MAX( NP1*MAX( N, M1 ), 3*M2 + NP1,
-     $                                  5*M2 ),
-     $              NP2 + M1*M1 +  MAX( MAX( N, NP1 )*M1, 3*NP2 + M1,
-     $                                  5*NP2 ) )
-         LW3 = MAX( NP11*M1 + MAX( 4*MIN( NP11, M1 ) + MAX( NP11, M1 ),
-     $                             6*MIN( NP11, M1 ) ),
-     $              NP1*M11 + MAX( 4*MIN( NP1, M11 ) + MAX( NP1, M11 ),
-     $                             6*MIN( NP1, M11 ) ) )
-         LW4 = 2*M*M + NP*NP + 2*M*N + M*NP + 2*N*NP
-         LW5 = 2*N*N + M*N + N*NP
-         LW6 = MAX( M*M   + MAX( 2*M1, 3*N*N +
-     $                           MAX( N*M, 10*N*N + 12*N + 5 ) ),
-     $              NP*NP + MAX( 2*NP1, 3*N*N +
-     $                           MAX( N*NP, 10*N*N + 12*N + 5 ) ) )
-         LW7 = M2*NP2 + NP2*NP2 + M2*M2 +
-     $         MAX( NP11*NP11 + MAX( 2*NP11, ( NP11 + M11 )*NP2 ),
-     $              M11*M11 + MAX( 2*M11, M11*M2 ), 3*N,
-     $              N*( 2*NP2 + M2 ) +
-     $              MAX( 2*N*M2, M2*NP2 +
-     $                           MAX( M2*M2 + 3*M2, NP2*( 2*NP2 +
-     $                                M2 + MAX( NP2, N ) ) ) ) )
-         MINWRK = LW1 + MAX( 1, LW2, LW3, LW4, LW5 + MAX( LW6, LW7 ) )
-         IF( LDWORK.LT.MINWRK ) THEN
-            INFO = -38
-         ELSE IF( LIWORK.LT.MAX( 2*MAX( N, M1, NP1, M2, NP2 ),
-     $                           N*N ) ) THEN
-            INFO = -36
-         ELSE IF( LBWORK.LT.2*N ) THEN
-            INFO = -40
-         END IF
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'SB10AD', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF( N.EQ.0 .OR. M.EQ.0 .OR. NP.EQ.0 .OR. M1.EQ.0 .OR. M2.EQ.0
-     $    .OR. NP1.EQ.0 .OR. NP2.EQ.0 ) THEN
-         RCOND( 1 ) = ONE
-         RCOND( 2 ) = ONE
-         RCOND( 3 ) = ONE
-         RCOND( 4 ) = ONE
-         DWORK( 1 ) = ONE
-         RETURN
-      END IF
-C
-      MODE = JOB
-      IF ( MODE.GT.2 )
-     $   MODE = 1
-      GTOLL = GTOL
-      IF( GTOLL.LE.ZERO ) THEN
-C
-C        Set the default value of the tolerance for GAMMA.
-C
-         GTOLL = SQRT( DLAMCH( 'Epsilon' ) )
-      END IF
-C
-C     Workspace usage 1.
-C
-      IWC  = 1 + N*M
-      IWD  = IWC + NP*N
-      IWTU = IWD + NP*M
-      IWTY = IWTU + M2*M2
-      IWRK = IWTY + NP2*NP2
-C
-      CALL DLACPY( 'Full', N, M, B, LDB, DWORK, N )
-C
-      CALL DLACPY( 'Full', NP, N, C, LDC, DWORK( IWC ), NP )
-C
-      CALL DLACPY( 'Full', NP, M, D, LDD, DWORK( IWD ), NP )
-C
-C     Transform the system so that D12 and D21 satisfy the formulas
-C     in the computation of the Hinf optimal controller.
-C     Workspace:  need   LW1 + MAX(1,LWP1,LWP2,LWP3,LWP4),
-C                 prefer larger,
-C                 where
-C             LW1  = N*M + NP*N + NP*M + M2*M2 + NP2*NP2
-C             LWP1 = (N+NP1+1)*(N+M2) + MAX(3*(N+M2)+N+NP1,5*(N+M2)),
-C             LWP2 = (N+NP2)*(N+M1+1) + MAX(3*(N+NP2)+N+M1,5*(N+NP2)),
-C             LWP3 = M2 + NP1*NP1 + MAX(NP1*MAX(N,M1),3*M2+NP1,5*M2),
-C             LWP4 = NP2 + M1*M1 + MAX(MAX(N,NP1)*M1,3*NP2+M1,5*NP2),
-C             with M1 = M - M2 and NP1 = NP - NP2.
-C             Denoting Q = MAX(M1,M2,NP1,NP2), an upper bound is
-C             LW1 + MAX(1,(N+Q)*(N+Q+6),Q*(Q+MAX(N,Q,5)+1).
-C
-      TOL2 = -ONE
-C
-      CALL SB10PD( N, M, NP, NCON, NMEAS, A, LDA, DWORK, N,
-     $             DWORK( IWC ), NP, DWORK( IWD ), NP, DWORK( IWTU ),
-     $             M2, DWORK( IWTY ), NP2, RCOND, TOL2, DWORK( IWRK ),
-     $             LDWORK-IWRK+1, INFO2 )
-C
-      LWAMAX = INT( DWORK( IWRK ) ) + IWRK - 1
-C
-      IF ( INFO2.NE.0 ) THEN
-         INFO = INFO2
-         RETURN
-      END IF
-C
-C     Workspace usage 2.
-C
-      IWD1 = IWRK
-      IWS1 = IWD1 + NP11*M1
-C
-C     Check if GAMMA < max(sigma[D1111,D1112],sigma[D1111',D1121']).
-C     Workspace:  need   LW1 + MAX(1, LWS1, LWS2),
-C                 prefer larger,
-C                 where
-C     LWS1 = NP11*M1 + MAX(4*MIN(NP11,M1)+MAX(NP11,M1),6*MIN(NP11,M1))
-C     LWS2 = NP1*M11 + MAX(4*MIN(NP1,M11)+MAX(NP1,M11),6*MIN(NP1,M11))
-C
-      INFO2 = 0
-      INFO3 = 0
-C
-      IF ( NP11.NE.0 .AND. M1.NE.0 ) THEN
-         IWRK = IWS1 + MIN( NP11, M1 )
-         CALL DLACPY( 'Full', NP11, M1, DWORK(IWD), LDD, DWORK(IWD1),
-     $                NP11 )
-         CALL DGESVD( 'N', 'N', NP11, M1, DWORK(IWD1), NP11,
-     $                DWORK(IWS1), DWORK(IWS1), 1, DWORK(IWS1), 1,
-     $                DWORK( IWRK ), LDWORK-IWRK+1, INFO2 )
-         LWAMAX = MAX( LWAMAX, INT( DWORK( IWRK ) ) + IWRK - 1 )
-      ELSE
-         DWORK(IWS1) = ZERO
-      END IF
-C
-      IWS2 = IWD1 + NP1*M11
-      IF ( NP1.NE.0 .AND. M11.NE.0 ) THEN
-         IWRK = IWS2 + MIN( NP1, M11 )
-         CALL DLACPY( 'Full', NP1, M11, DWORK(IWD), LDD, DWORK(IWD1),
-     $                NP1 )
-         CALL DGESVD( 'N', 'N', NP1, M11, DWORK(IWD1), NP1, DWORK(IWS2),
-     $                DWORK(IWS2), 1, DWORK(IWS2), 1, DWORK( IWRK ),
-     $                LDWORK-IWRK+1, INFO3 )
-         LWAMAX = MAX( LWAMAX, INT( DWORK( IWRK ) ) + IWRK - 1 )
-      ELSE
-         DWORK(IWS2) = ZERO
-      END IF
-C
-      GAMAMN = MAX( DWORK(IWS1), DWORK(IWS2) )
-C
-      IF ( INFO2.GT.0 .OR. INFO3.GT.0 ) THEN
-         INFO = 10
-         RETURN
-      ELSE IF ( GAMMA.LE.GAMAMN ) THEN
-         INFO = 6
-         RETURN
-      END IF
-C
-C     Workspace usage 3.
-C
-      IWX  = IWD1
-      IWY  = IWX + N*N
-      IWF  = IWY + N*N
-      IWH  = IWF + M*N
-      IWRK = IWH + N*NP
-      IWAC = IWD1
-      IWWR = IWAC + 4*N*N
-      IWWI = IWWR + 2*N
-      IWRE = IWWI + 2*N
-C
-C     Prepare some auxiliary variables for the gamma iteration.
-C
-      STEPG  = GAMMA - GAMAMN
-      GAMABS = GAMMA
-      GAMAMX = GAMMA
-      INF = 0
-C
-C     ###############################################################
-C
-C     Begin the gamma iteration.
-C
-   10 CONTINUE
-         STEPG = STEPG/TWO
-C
-C        Try to compute the state feedback and output injection
-C        matrices for the current GAMMA.
-C
-         CALL SB10QD( N, M, NP, NCON, NMEAS, GAMMA, A, LDA, DWORK, N,
-     $                DWORK( IWC ), NP, DWORK( IWD ), NP, DWORK( IWF ),
-     $                M, DWORK( IWH ), N, DWORK( IWX ), N, DWORK( IWY ),
-     $                N, RCOND(3), IWORK, DWORK( IWRK ), LDWORK-IWRK+1,
-     $                BWORK, INFO2 )
-C
-         IF ( INFO2.NE.0 ) GOTO 30
-C
-C        Try to compute the Hinf suboptimal (yet) controller.
-C
-         CALL SB10RD( N, M, NP, NCON, NMEAS, GAMMA, A, LDA, DWORK, N,
-     $                DWORK( IWC ), NP, DWORK( IWD ), NP, DWORK( IWF ),
-     $                M, DWORK( IWH ), N, DWORK( IWTU ), M2,
-     $                DWORK( IWTY ), NP2, DWORK( IWX ), N, DWORK( IWY ),
-     $                N, AK, LDAK, BK, LDBK, CK, LDCK, DK, LDDK, IWORK,
-     $                DWORK( IWRK ), LDWORK-IWRK+1, INFO2 )
-C
-         IF ( INFO2.NE.0 ) GOTO 30
-C
-C        Compute the closed-loop system.
-C        Workspace: need   LW1 + 2*M*M + NP*NP + 2*M*N + M*NP + 2*N*NP;
-C                   prefer larger.
-C
-         CALL SB10LD( N, M, NP, NCON, NMEAS, A, LDA, B, LDB, C, LDC, D,
-     $                LDD, AK, LDAK, BK, LDBK, CK, LDCK, DK, LDDK, AC,
-     $                LDAC, BC, LDBC, CC, LDCC, DC, LDDC, IWORK,
-     $                DWORK( IWD1 ), LDWORK-IWD1+1, INFO2 )
-C
-         IF ( INFO2.NE.0 ) GOTO 30
-C
-         LWAMAX = MAX( LWAMAX, INT( DWORK( IWD1 ) ) + IWD1 - 1 )
-C
-C        Compute the poles of the closed-loop system.
-C        Workspace:  need   LW1 + 4*N*N + 4*N + max(1,6*N);
-C                    prefer larger.
-C
-         CALL DLACPY( 'Full', 2*N, 2*N, AC, LDAC, DWORK(IWAC), 2*N )
-C
-         CALL DGEES( 'N', 'N', SELECT, 2*N, DWORK(IWAC), 2*N, IWORK,
-     $               DWORK(IWWR), DWORK(IWWI), DWORK(IWRE), 1,
-     $               DWORK(IWRE), LDWORK-IWRE+1, BWORK, INFO2 )
-C
-         LWAMAX = MAX( LWAMAX, INT( DWORK( IWRE ) ) + IWRE - 1 )
-C
-C        Now DWORK(IWWR+I)=Re(Lambda), DWORK(IWWI+I)=Im(Lambda),
-C        for I=0,2*N-1.
-C
-         MINEAC = -THOUS
-C
-         DO 20 I = 0, 2*N - 1
-            MINEAC = MAX( MINEAC, DWORK(IWWR+I) )
-   20    CONTINUE
-C
-C        Check if the closed-loop system is stable.
-C
-   30    IF ( MODE.EQ.1 ) THEN
-            IF ( INFO2.EQ.0 .AND. MINEAC.LT.ACTOL ) THEN
-               GAMABS = GAMMA
-               GAMMA  = GAMMA - STEPG
-               INF = 1
-            ELSE
-               GAMMA = MIN( GAMMA + STEPG, GAMAMX )
-            END IF
-         ELSE IF ( MODE.EQ.2 ) THEN
-            IF ( INFO2.EQ.0 .AND. MINEAC.LT.ACTOL ) THEN
-               GAMABS = GAMMA
-               INF = 1
-            END IF
-            GAMMA = GAMMA - MAX( P1, GTOLL )
-         END IF
-C
-C        More iterations?
-C
-         IF ( MODE.EQ.1 .AND. JOB.EQ.3 .AND. TWO*STEPG.LT.GTOLL ) THEN
-            MODE  = 2
-            GAMMA = GAMABS
-         END IF
-C
-         IF ( JOB.NE.4 .AND.
-     $        ( MODE.EQ.1 .AND. TWO*STEPG.GE.GTOLL .OR.
-     $          MODE.EQ.2 .AND. GAMMA.GT.ZERO ) ) THEN
-            GOTO 10
-         END IF
-C
-C     ###############################################################
-C
-C     End of the gamma iteration - Return if no stabilizing controller
-C     was found.
-C
-      IF ( INF.EQ.0 ) THEN
-         INFO = 12
-         RETURN
-      END IF
-C
-C     Now compute the state feedback and output injection matrices
-C     using GAMABS.
-C
-      GAMMA = GAMABS
-C
-C     Integer workspace:  need   max(2*max(N,M-NCON,NP-NMEAS),N*N).
-C     Workspace: need   LW1P +
-C                       max(1,M*M + max(2*M1,3*N*N +
-C                                       max(N*M,10*N*N+12*N+5)),
-C                           NP*NP + max(2*NP1,3*N*N +
-C                                       max(N*NP,10*N*N+12*N+5)));
-C                prefer larger,
-C             where LW1P = LW1 + 2*N*N + M*N + N*NP.
-C             An upper bound of the second term after LW1P is
-C             max(1,4*Q*Q+max(2*Q,3*N*N + max(2*N*Q,10*N*N+12*N+5))).
-C
-      CALL SB10QD( N, M, NP, NCON, NMEAS, GAMMA, A, LDA, DWORK, N,
-     $             DWORK( IWC ), NP, DWORK( IWD ), NP, DWORK( IWF ),
-     $             M, DWORK( IWH ), N, DWORK( IWX ), N, DWORK( IWY ),
-     $             N, RCOND(3), IWORK, DWORK( IWRK ), LDWORK-IWRK+1,
-     $             BWORK, INFO2 )
-C
-      LWAMAX = MAX( LWAMAX, INT( DWORK( IWRK ) ) + IWRK - 1 )
-C
-      IF ( INFO2.GT.0 ) THEN
-         INFO = INFO2 + 5
-         RETURN
-      END IF
-C
-C     Compute the Hinf optimal controller.
-C     Integer workspace:  need   max(2*(max(NP,M)-M2-NP2,M2,N),NP2).
-C     Workspace: need   LW1P +
-C                       max(1, M2*NP2 + NP2*NP2 + M2*M2 +
-C                           max(D1*D1 + max(2*D1, (D1+D2)*NP2),
-C                               D2*D2 + max(2*D2, D2*M2), 3*N,
-C                               N*(2*NP2 + M2) +
-C                               max(2*N*M2, M2*NP2 +
-C                                           max(M2*M2+3*M2, NP2*(2*NP2+
-C                                                  M2+max(NP2,N))))))
-C                       where D1 = NP1 - M2 = NP11, D2 = M1 - NP2 = M11;
-C                prefer larger.
-C             An upper bound of the second term after LW1P is
-C             max( 1, Q*(3*Q + 3*N + max(2*N, 4*Q + max(Q, N)))).
-C
-      CALL SB10RD( N, M, NP, NCON, NMEAS, GAMMA, A, LDA, DWORK, N,
-     $             DWORK( IWC ), NP, DWORK( IWD ), NP, DWORK( IWF ),
-     $             M, DWORK( IWH ), N, DWORK( IWTU ), M2, DWORK( IWTY ),
-     $             NP2, DWORK( IWX ), N, DWORK( IWY ), N, AK, LDAK, BK,
-     $             LDBK, CK, LDCK, DK, LDDK, IWORK, DWORK( IWRK ),
-     $             LDWORK-IWRK+1, INFO2 )
-C
-      LWAMAX = MAX( LWAMAX, INT( DWORK( IWRK ) ) + IWRK - 1 )
-C
-      IF( INFO2.EQ.1 ) THEN
-         INFO = 6
-         RETURN
-      ELSE IF( INFO2.EQ.2 ) THEN
-         INFO = 9
-         RETURN
-      END IF
-C
-C     Integer workspace:  need   2*max(NCON,NMEAS).
-C     Workspace: need   2*M*M + NP*NP + 2*M*N + M*NP + 2*N*NP;
-C                prefer larger.
-C
-      CALL SB10LD( N, M, NP, NCON, NMEAS, A, LDA, B, LDB, C, LDC, D,
-     $             LDD, AK, LDAK, BK, LDBK, CK, LDCK, DK, LDDK, AC,
-     $             LDAC, BC, LDBC, CC, LDCC, DC, LDDC, IWORK, DWORK,
-     $             LDWORK, INFO2 )
-C
-      IF( INFO2.GT.0 ) THEN
-         INFO = 11
-         RETURN
-      END IF
-C
-      DWORK( 1 ) = DBLE( LWAMAX )
-      RETURN
-C *** Last line of SB10AD ***
-      END
--- a/extra/control-devel/devel/dksyn/SB10LD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,438 +0,0 @@
-      SUBROUTINE SB10LD( N, M, NP, NCON, NMEAS, A, LDA, B, LDB, C, LDC,
-     $                   D, LDD, AK, LDAK, BK, LDBK, CK, LDCK, DK, LDDK,
-     $                   AC, LDAC, BC, LDBC, CC, LDCC, DC, LDDC, IWORK,
-     $                   DWORK, LDWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To compute the matrices of the closed-loop system
-C
-C              | AC | BC |
-C          G = |----|----|,
-C              | CC | DC |
-C
-C     from the matrices of the open-loop system
-C
-C               | A | B |
-C           P = |---|---|
-C               | C | D |
-C
-C     and the matrices of the controller
-C
-C              | AK | BK |
-C          K = |----|----|.
-C              | CK | DK |
-C
-C     ARGUMENTS
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the system.  N >= 0.
-C
-C     M       (input) INTEGER
-C             The column size of the matrix B.  M >= 0.
-C
-C     NP      (input) INTEGER
-C             The row size of the matrix C.  NP >= 0.
-C
-C     NCON    (input) INTEGER
-C             The number of control inputs (M2).  M >= NCON >= 0.
-C             NP-NMEAS >= NCON.
-C
-C     NMEAS   (input) INTEGER
-C             The number of measurements (NP2).  NP >= NMEAS >= 0.
-C             M-NCON >= NMEAS.
-C
-C     A       (input) DOUBLE PRECISION array, dimension (LDA,N)
-C             The leading N-by-N part of this array must contain the
-C             system state matrix A.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.  LDA >= max(1,N).
-C
-C     B       (input) DOUBLE PRECISION array, dimension (LDB,M)
-C             The leading N-by-M part of this array must contain the
-C             system input matrix B.
-C
-C     LDB     INTEGER
-C             The leading dimension of the array B.  LDB >= max(1,N).
-C
-C     C       (input) DOUBLE PRECISION array, dimension (LDC,N)
-C             The leading NP-by-N part of this array must contain the
-C             system output matrix C.
-C
-C     LDC     INTEGER
-C             The leading dimension of the array C.  LDC >= max(1,NP).
-C
-C     D       (input) DOUBLE PRECISION array, dimension (LDD,M)
-C             The leading NP-by-M part of this array must contain the
-C             system input/output matrix D.
-C
-C     LDD     INTEGER
-C             The leading dimension of the array D.  LDD >= max(1,NP).
-C
-C     AK      (input) DOUBLE PRECISION array, dimension (LDAK,N)
-C             The leading N-by-N part of this array must contain the
-C             controller state matrix AK.
-C
-C     LDAK    INTEGER
-C             The leading dimension of the array AK.  LDAK >= max(1,N).
-C
-C     BK      (input) DOUBLE PRECISION array, dimension (LDBK,NMEAS)
-C             The leading N-by-NMEAS part of this array must contain the
-C             controller input matrix BK.
-C
-C     LDBK    INTEGER
-C             The leading dimension of the array BK.  LDBK >= max(1,N).
-C
-C     CK      (input) DOUBLE PRECISION array, dimension (LDCK,N)
-C             The leading NCON-by-N part of this array must contain the
-C             controller output matrix CK.
-C
-C     LDCK    INTEGER
-C             The leading dimension of the array CK.
-C             LDCK >= max(1,NCON).
-C
-C     DK      (input) DOUBLE PRECISION array, dimension (LDDK,NMEAS)
-C             The leading NCON-by-NMEAS part of this array must contain
-C             the controller input/output matrix DK.
-C
-C     LDDK    INTEGER
-C             The leading dimension of the array DK.
-C             LDDK >= max(1,NCON).
-C
-C     AC      (output) DOUBLE PRECISION array, dimension (LDAC,2*N)
-C             The leading 2*N-by-2*N part of this array contains the
-C             closed-loop system state matrix AC.
-C
-C     LDAC    INTEGER
-C             The leading dimension of the array AC.
-C             LDAC >= max(1,2*N).
-C
-C     BC      (output) DOUBLE PRECISION array, dimension (LDBC,M-NCON)
-C             The leading 2*N-by-(M-NCON) part of this array contains
-C             the closed-loop system input matrix BC.
-C
-C     LDBC    INTEGER
-C             The leading dimension of the array BC.
-C             LDBC >= max(1,2*N).
-C
-C     CC      (output) DOUBLE PRECISION array, dimension (LDCC,2*N)
-C             The leading (NP-NMEAS)-by-2*N part of this array contains
-C             the closed-loop system output matrix CC.
-C
-C     LDCC    INTEGER
-C             The leading dimension of the array CC.
-C             LDCC >= max(1,NP-NMEAS).
-C
-C     DC      (output) DOUBLE PRECISION array, dimension (LDDC,M-NCON)
-C             The leading (NP-NMEAS)-by-(M-NCON) part of this array
-C             contains the closed-loop system input/output matrix DC.
-C
-C     LDDC    INTEGER
-C             The leading dimension of the array DC.
-C             LDDC >= max(1,NP-NMEAS).
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension 2*max(NCON,NMEAS)
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if INFO = 0, DWORK(1) contains the optimal
-C             LDWORK.
-C
-C     LDWORK  INTEGER
-C             The dimension of the array DWORK.
-C             LDWORK >= 2*M*M+NP*NP+2*M*N+M*NP+2*N*NP.
-C             For good performance, LDWORK must generally be larger.
-C
-C     Error Indicactor
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = 1:  if the matrix Inp2 - D22*DK is singular to working
-C                   precision;
-C             = 2:  if the matrix Im2 - DK*D22 is singular to working
-C                   precision.
-C
-C     METHOD
-C
-C     The routine implements the formulas given in [1].
-C
-C     REFERENCES
-C
-C     [1] Balas, G.J., Doyle, J.C., Glover, K., Packard, A., and
-C         Smith, R.
-C         mu-Analysis and Synthesis Toolbox.
-C         The MathWorks Inc., Natick, Mass., 1995.
-C
-C     NUMERICAL ASPECTS
-C
-C     The accuracy of the result depends on the condition numbers of the
-C     matrices  Inp2 - D22*DK  and  Im2 - DK*D22.
-C
-C     CONTRIBUTORS
-C
-C     P.Hr. Petkov, D.W. Gu and M.M. Konstantinov, October 1998.
-C
-C     REVISIONS
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, May 1999.
-C     A. Markovski, Technical University, Sofia, April, 2003.
-C
-C     KEYWORDS
-C
-C     Closed loop systems, feedback control, robust control.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0 )
-C
-C     .. Scalar Arguments ..
-      INTEGER            INFO, LDA, LDAC, LDAK, LDB, LDBC, LDBK, LDC,
-     $                   LDCC, LDCK, LDD, LDDC, LDDK, LDWORK, M, N,
-     $                   NCON, NMEAS, NP
-C     ..
-C     .. Array Arguments ..
-      INTEGER            IWORK( * )
-      DOUBLE PRECISION   A( LDA, * ), AC( LDAC, * ), AK( LDAK, * ),
-     $                   B( LDB, * ), BC( LDBC, * ), BK( LDBK, * ),
-     $                   C( LDC, * ), CC( LDCC, * ), CK( LDCK, * ),
-     $                   D( LDD, * ), DC( LDDC, * ), DK( LDDK, * ),
-     $                   DWORK( * )
-C     ..
-C     .. Local Scalars ..
-      INTEGER            INFO2, IW2, IW3, IW4, IW5, IW6, IW7, IW8, IWRK,
-     $                   LWAMAX, M1, M2, MINWRK, N2, NP1, NP2
-      DOUBLE PRECISION   ANORM, EPS, RCOND
-C     ..
-C     .. External Functions ..
-      DOUBLE PRECISION   DLAMCH, DLANGE
-      EXTERNAL           DLAMCH, DLANGE
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DGECON, DGEMM, DGETRF, DGETRI, DLACPY, DLASET,
-     $                   XERBLA
-C     ..
-C     .. Executable Statements ..
-C
-C     Decode and Test input parameters.
-C
-      N2  = 2*N
-      M1  = M - NCON
-      M2  = NCON
-      NP1 = NP - NMEAS
-      NP2 = NMEAS
-C
-      INFO = 0
-      IF( N.LT.0 ) THEN
-         INFO = -1
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( NP.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( NCON.LT.0 .OR. M1.LT.0 .OR. M2.GT.NP1 ) THEN
-         INFO = -4
-      ELSE IF( NMEAS.LT.0 .OR. NP1.LT.0 .OR. NP2.GT.M1 ) THEN
-         INFO = -5
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -7
-      ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
-         INFO = -9
-      ELSE IF( LDC.LT.MAX( 1, NP ) ) THEN
-         INFO = -11
-      ELSE IF( LDD.LT.MAX( 1, NP ) ) THEN
-         INFO = -13
-      ELSE IF( LDAK.LT.MAX( 1, N ) ) THEN
-         INFO = -15
-      ELSE IF( LDBK.LT.MAX( 1, N ) ) THEN
-         INFO = -17
-      ELSE IF( LDCK.LT.MAX( 1, M2 ) ) THEN
-         INFO = -19
-      ELSE IF( LDDK.LT.MAX( 1, M2 ) ) THEN
-         INFO = -21
-      ELSE IF( LDAC.LT.MAX( 1, N2 ) ) THEN
-         INFO = -23
-      ELSE IF( LDBC.LT.MAX( 1, N2 ) ) THEN
-         INFO = -25
-      ELSE IF( LDCC.LT.MAX( 1, NP1 ) ) THEN
-         INFO = -27
-      ELSE IF( LDDC.LT.MAX( 1, NP1 ) ) THEN
-         INFO = -29
-      ELSE
-C
-C        Compute workspace.
-C
-         MINWRK = 2*M*M + NP*NP + 2*M*N + M*NP + 2*N*NP
-         IF( LDWORK.LT.MINWRK )
-     $      INFO = -32
-      END IF
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'SB10LD', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF( N.EQ.0 .OR. M.EQ.0 .OR. NP.EQ.0 .OR. M1.EQ.0 .OR. M2.EQ.0
-     $    .OR. NP1.EQ.0 .OR. NP2.EQ.0 ) THEN
-         DWORK( 1 ) = ONE
-         RETURN
-      END IF
-C
-C     Get the machine precision.
-C
-      EPS = DLAMCH( 'Epsilon' )
-C
-C     Workspace usage.
-C
-      IW2 = NP2*NP2 + 1
-      IW3 = IW2 + M2*M2
-      IW4 = IW3 + NP2*N
-      IW5 = IW4 + M2*N
-      IW6 = IW5 + NP2*M1
-      IW7 = IW6 + M2*M1
-      IW8 = IW7 + M2*N
-      IWRK = IW8 + NP2*N
-C
-C     Compute inv(Inp2 - D22*DK) .
-C
-      CALL DLASET( 'Full', NP2, NP2, ZERO, ONE, DWORK, NP2 )
-      CALL DGEMM( 'N', 'N', NP2, NP2, M2, -ONE, D( NP1+1, M1+1 ),
-     $            LDD, DK, LDDK, ONE, DWORK, NP2 )
-      ANORM = DLANGE( '1', NP2, NP2, DWORK, NP2, DWORK( IWRK ) )
-      CALL DGETRF( NP2, NP2, DWORK, NP2, IWORK, INFO2 )
-      IF( INFO2.GT.0 ) THEN
-         INFO = 1
-         RETURN
-      END IF
-      CALL DGECON( '1', NP2, DWORK, NP2, ANORM, RCOND, DWORK( IWRK ),
-     $             IWORK( NP2+1 ), INFO )
-      LWAMAX = INT( DWORK( IWRK ) ) + IWRK - 1
-C
-C     Return if the matrix is singular to working precision.
-C
-      IF( RCOND.LT.EPS ) THEN
-         INFO = 1
-         RETURN
-      END IF
-      CALL DGETRI( NP2, DWORK, NP2, IWORK, DWORK( IWRK ), LDWORK-IWRK+1,
-     $             INFO2 )
-      LWAMAX = MAX( INT( DWORK( IWRK ) ) + IWRK - 1, LWAMAX )
-C
-C     Compute inv(Im2 - DK*D22) .
-C
-      CALL DLASET( 'Full', M2, M2, ZERO, ONE, DWORK( IW2 ), M2 )
-      CALL DGEMM( 'N', 'N', M2, M2, NP2, -ONE, DK, LDDK,
-     $            D( NP1+1, M1+1 ), LDD, ONE, DWORK( IW2 ), M2 )
-      ANORM = DLANGE( '1', M2, M2, DWORK( IW2 ), M2, DWORK( IWRK ) )
-      CALL DGETRF( M2, M2, DWORK( IW2 ), M2, IWORK, INFO2 )
-      IF( INFO2.GT.0 ) THEN
-         INFO = 2
-         RETURN
-      END IF
-      CALL DGECON( '1', M2, DWORK( IW2 ), M2, ANORM, RCOND,
-     $             DWORK( IWRK ), IWORK( M2+1 ), INFO )
-      LWAMAX = MAX( INT( DWORK( IWRK ) ) + IWRK - 1, LWAMAX )
-C
-C     Return if the matrix is singular to working precision.
-C
-      IF( RCOND.LT.EPS ) THEN
-         INFO = 2
-         RETURN
-      END IF
-      CALL DGETRI( M2, DWORK( IW2 ), M2, IWORK, DWORK( IWRK ),
-     $             LDWORK-IWRK+1, INFO2 )
-      LWAMAX = MAX( INT( DWORK( IWRK ) ) + IWRK - 1, LWAMAX )
-C
-C     Compute inv(Inp2 - D22*DK)*C2 .
-C
-      CALL DGEMM( 'N', 'N', NP2, N, NP2, ONE, DWORK, NP2, C( NP1+1, 1 ),
-     $            LDC, ZERO, DWORK( IW3 ), NP2 )
-C
-C     Compute DK*inv(Inp2 - D22*DK)*C2 .
-C
-      CALL DGEMM( 'N', 'N', M2, N, NP2, ONE, DK, LDDK,  DWORK( IW3 ),
-     $            NP2, ZERO, DWORK( IW4 ), M2 )
-C
-C     Compute inv(Inp2 - D22*DK)*D21 .
-C
-      CALL DGEMM( 'N', 'N', NP2, M1, NP2, ONE, DWORK, NP2,
-     $            D( NP1+1, 1 ), LDD, ZERO, DWORK( IW5 ), NP2 )
-C
-C     Compute DK*inv(Inp2 - D22*DK)*D21 .
-C
-      CALL DGEMM( 'N', 'N', M2, M1, NP2, ONE, DK, LDDK, DWORK( IW5 ),
-     $            NP2, ZERO, DWORK( IW6 ), M2 )
-C
-C     Compute inv(Im2 - DK*D22)*CK .
-C
-      CALL DGEMM( 'N', 'N', M2, N, M2, ONE, DWORK( IW2 ), M2, CK, LDCK,
-     $            ZERO, DWORK( IW7 ), M2 )
-C
-C     Compute D22*inv(Im2 - DK*D22)*CK .
-C
-      CALL DGEMM( 'N', 'N', NP2, N, M2, ONE, D( NP1+1, M1+1 ), LDD,
-     $            DWORK( IW7 ), M2, ZERO, DWORK( IW8 ), NP2 )
-C
-C     Compute AC .
-C
-      CALL DLACPY( 'Full', N, N, A, LDA, AC, LDAC )
-      CALL DGEMM( 'N', 'N', N, N, M2, ONE, B( 1, M1+1 ), LDB,
-     $            DWORK( IW4 ), M2, ONE, AC, LDAC )
-      CALL DGEMM( 'N', 'N', N, N, M2, ONE, B( 1, M1+1 ), LDB,
-     $            DWORK( IW7 ), M2, ZERO, AC( 1, N+1 ), LDAC )
-      CALL DGEMM( 'N', 'N', N, N, NP2, ONE, BK, LDBK, DWORK( IW3 ), NP2,
-     $            ZERO, AC( N+1, 1 ), LDAC )
-      CALL DLACPY( 'Full', N, N, AK, LDAK, AC( N+1, N+1 ), LDAC )
-      CALL DGEMM( 'N', 'N', N, N, NP2, ONE, BK, LDBK, DWORK( IW8 ), NP2,
-     $            ONE, AC( N+1, N+1 ), LDAC )
-C
-C     Compute BC .
-C
-      CALL DLACPY( 'Full', N, M1, B, LDB, BC, LDBC )
-      CALL DGEMM( 'N', 'N', N, M1, M2, ONE, B( 1, M1+1 ), LDB,
-     $            DWORK( IW6 ), M2, ONE, BC, LDBC )
-      CALL DGEMM( 'N', 'N', N, M1, NP2, ONE, BK, LDBK, DWORK( IW5 ),
-     $            NP2, ZERO, BC( N+1, 1 ), LDBC )
-C
-C     Compute CC .
-C
-      CALL DLACPY( 'Full', NP1, N, C, LDC, CC, LDCC )
-      CALL DGEMM( 'N', 'N', NP1, N, M2, ONE, D( 1, M1+1 ), LDD,
-     $            DWORK( IW4 ), M2, ONE, CC, LDCC )
-      CALL DGEMM( 'N', 'N', NP1, N, M2, ONE, D( 1, M1+1 ), LDD,
-     $            DWORK( IW7 ), M2, ZERO, CC( 1, N+1 ), LDCC )
-C
-C     Compute DC .
-C
-      CALL DLACPY( 'Full', NP1, M1, D, LDD, DC, LDDC )
-      CALL DGEMM( 'N', 'N', NP1, M1, M2, ONE, D( 1, M1+1 ), LDD,
-     $            DWORK( IW6 ), M2, ONE, DC, LDDC )
-C
-      RETURN
-C *** Last line of SB10LD ***
-      END
--- a/extra/control-devel/devel/dksyn/SB10MD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,670 +0,0 @@
-      SUBROUTINE SB10MD( NC, MP, LENDAT, F, ORD, MNB, NBLOCK, ITYPE,
-     $                   QUTOL, A, LDA, B, LDB, C, LDC, D, LDD, OMEGA,
-     $                   TOTORD, AD, LDAD, BD, LDBD, CD, LDCD, DD, LDDD,
-     $                   MJU, IWORK, LIWORK, DWORK, LDWORK, ZWORK,
-     $                   LZWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To perform the D-step in the D-K iteration. It handles
-C     continuous-time case.
-C
-C     ARGUMENTS
-C
-C     Input/Output Parameters
-C
-C     NC      (input) INTEGER
-C             The order of the matrix A.  NC >= 0.
-C
-C     MP      (input) INTEGER
-C             The order of the matrix D.  MP >= 0.
-C
-C     LENDAT  (input) INTEGER
-C             The length of the vector OMEGA.  LENDAT >= 2.
-C
-C     F       (input) INTEGER
-C             The number of the measurements and controls, i.e.,
-C             the size of the block I_f in the D-scaling system.
-C             F >= 0.
-C
-C     ORD     (input/output) INTEGER
-C             The MAX order of EACH block in the fitting procedure.
-C             ORD <= LENDAT-1.
-C             On exit, if ORD < 1 then ORD = 1.
-C
-C     MNB     (input) INTEGER
-C             The number of diagonal blocks in the block structure of
-C             the uncertainty, and the length of the vectors NBLOCK
-C             and ITYPE.  1 <= MNB <= MP.
-C
-C     NBLOCK  (input) INTEGER array, dimension (MNB)
-C             The vector of length MNB containing the block structure
-C             of the uncertainty. NBLOCK(I), I = 1:MNB, is the size of
-C             each block.
-C
-C     ITYPE   (input) INTEGER array, dimension (MNB)
-C             The vector of length MNB indicating the type of each
-C             block.
-C             For I = 1 : MNB,
-C             ITYPE(I) = 1 indicates that the corresponding block is a
-C             real block. IN THIS CASE ONLY MJU(JW) WILL BE ESTIMATED
-C             CORRECTLY, BUT NOT D(S)!
-C             ITYPE(I) = 2 indicates that the corresponding block is a
-C             complex block. THIS IS THE ONLY ALLOWED VALUE NOW!
-C             NBLOCK(I) must be equal to 1 if ITYPE(I) is equal to 1.
-C
-C     QUTOL   (input) DOUBLE PRECISION
-C             The acceptable mean relative error between the D(jw) and
-C             the frequency responce of the estimated block
-C             [ADi,BDi;CDi,DDi]. When it is reached, the result is
-C             taken as good enough.
-C             A good value is QUTOL = 2.0.
-C             If QUTOL < 0 then only mju(jw) is being estimated,
-C             not D(s).
-C
-C     A       (input/output) DOUBLE PRECISION array, dimension (LDA,NC)
-C             On entry, the leading NC-by-NC part of this array must
-C             contain the A matrix of the closed-loop system.
-C             On exit, if MP > 0, the leading NC-by-NC part of this
-C             array contains an upper Hessenberg matrix similar to A.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.  LDA >= MAX(1,NC).
-C
-C     B       (input/output) DOUBLE PRECISION array, dimension (LDB,MP)
-C             On entry, the leading NC-by-MP part of this array must
-C             contain the B matrix of the closed-loop system.
-C             On exit, the leading NC-by-MP part of this array contains
-C             the transformed B matrix corresponding to the Hessenberg
-C             form of A.
-C
-C     LDB     INTEGER
-C             The leading dimension of the array B.  LDB >= MAX(1,NC).
-C
-C     C       (input/output) DOUBLE PRECISION array, dimension (LDC,NC)
-C             On entry, the leading MP-by-NC part of this array must
-C             contain the C matrix of the closed-loop system.
-C             On exit, the leading MP-by-NC part of this array contains
-C             the transformed C matrix corresponding to the Hessenberg
-C             form of A.
-C
-C     LDC     INTEGER
-C             The leading dimension of the array C.  LDC >= MAX(1,MP).
-C
-C     D       (input) DOUBLE PRECISION array, dimension (LDD,MP)
-C             The leading MP-by-MP part of this array must contain the
-C             D matrix of the closed-loop system.
-C
-C     LDD     INTEGER
-C             The leading dimension of the array D.  LDD >= MAX(1,MP).
-C
-C     OMEGA   (input) DOUBLE PRECISION array, dimension (LENDAT)
-C             The vector with the frequencies.
-C
-C     TOTORD  (output) INTEGER
-C             The TOTAL order of the D-scaling system.
-C             TOTORD is set to zero, if QUTOL < 0.
-C
-C     AD      (output) DOUBLE PRECISION array, dimension (LDAD,MP*ORD)
-C             The leading TOTORD-by-TOTORD part of this array contains
-C             the A matrix of the D-scaling system.
-C             Not referenced if QUTOL < 0.
-C
-C     LDAD    INTEGER
-C             The leading dimension of the array AD.
-C             LDAD >= MAX(1,MP*ORD), if QUTOL >= 0;
-C             LDAD >= 1,             if QUTOL <  0.
-C
-C     BD      (output) DOUBLE PRECISION array, dimension (LDBD,MP+F)
-C             The leading TOTORD-by-(MP+F) part of this array contains
-C             the B matrix of the D-scaling system.
-C             Not referenced if QUTOL < 0.
-C
-C     LDBD    INTEGER
-C             The leading dimension of the array BD.
-C             LDBD >= MAX(1,MP*ORD), if QUTOL >= 0;
-C             LDBD >= 1,             if QUTOL <  0.
-C
-C     CD      (output) DOUBLE PRECISION array, dimension (LDCD,MP*ORD)
-C             The leading (MP+F)-by-TOTORD part of this array contains
-C             the C matrix of the D-scaling system.
-C             Not referenced if QUTOL < 0.
-C
-C     LDCD    INTEGER
-C             The leading dimension of the array CD.
-C             LDCD >= MAX(1,MP+F), if QUTOL >= 0;
-C             LDCD >= 1,           if QUTOL <  0.
-C
-C     DD      (output) DOUBLE PRECISION array, dimension (LDDD,MP+F)
-C             The leading (MP+F)-by-(MP+F) part of this array contains
-C             the D matrix of the D-scaling system.
-C             Not referenced if QUTOL < 0.
-C
-C     LDDD    INTEGER
-C             The leading dimension of the array DD.
-C             LDDD >= MAX(1,MP+F), if QUTOL >= 0;
-C             LDDD >= 1,           if QUTOL <  0.
-C
-C     MJU     (output) DOUBLE PRECISION array, dimension (LENDAT)
-C             The vector with the upper bound of the structured
-C             singular value (mju) for each frequency in OMEGA.
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension (LIWORK)
-C
-C     LIWORK  INTEGER
-C             The length of the array IWORK.
-C             LIWORK >= MAX( NC, 4*MNB-2, MP, 2*ORD+1 ), if QUTOL >= 0;
-C             LIWORK >= MAX( NC, 4*MNB-2, MP ),          if QUTOL <  0.
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if INFO = 0, DWORK(1) returns the optimal value
-C             of LDWORK, DWORK(2) returns the optimal value of LZWORK,
-C             and DWORK(3) returns an estimate of the minimum reciprocal
-C             of the condition numbers (with respect to inversion) of
-C             the generated Hessenberg matrices.
-C
-C     LDWORK  INTEGER
-C             The length of the array DWORK.
-C             LDWORK >= MAX( 3, LWM, LWD ), where
-C             LWM = LWA + MAX( NC + MAX( NC, MP-1 ),
-C                              2*MP*MP*MNB - MP*MP + 9*MNB*MNB +
-C                              MP*MNB + 11*MP + 33*MNB - 11 );
-C             LWD = LWB + MAX( 2, LW1, LW2, LW3, LW4, 2*ORD ),
-C                              if QUTOL >= 0;
-C             LWD = 0,         if QUTOL <  0;
-C             LWA = MP*LENDAT + 2*MNB + MP - 1;
-C             LWB = LENDAT*(MP + 2) + ORD*(ORD + 2) + 1;
-C             LW1 = 2*LENDAT + 4*HNPTS;  HNPTS = 2048;
-C             LW2 =   LENDAT + 6*HNPTS;  MN  = MIN( 2*LENDAT, 2*ORD+1 );
-C             LW3 = 2*LENDAT*(2*ORD + 1) + MAX( 2*LENDAT, 2*ORD + 1 ) +
-C                   MAX( MN + 6*ORD + 4, 2*MN + 1 );
-C             LW4 = MAX( ORD*ORD + 5*ORD, 6*ORD + 1 + MIN( 1, ORD ) ).
-C
-C     ZWORK   COMPLEX*16 array, dimension (LZWORK)
-C
-C     LZWORK  INTEGER
-C             The length of the array ZWORK.
-C             LZWORK >= MAX( LZM, LZD ), where
-C             LZM = MAX( MP*MP + NC*MP + NC*NC + 2*NC,
-C                        6*MP*MP*MNB + 13*MP*MP + 6*MNB + 6*MP - 3 );
-C             LZD = MAX( LENDAT*(2*ORD + 3), ORD*ORD + 3*ORD + 1 ),
-C                              if QUTOL >= 0;
-C             LZD = 0,         if QUTOL <  0.
-C
-C     Error indicator
-C
-C     INFO    (output) INTEGER
-C             =  0:  successful exit;
-C             <  0:  if INFO = -i, the i-th argument had an illegal
-C                    value;
-C             =  1:  if one or more values w in OMEGA are (close to
-C                    some) poles of the closed-loop system, i.e., the
-C                    matrix jw*I - A is (numerically) singular;
-C             =  2:  the block sizes must be positive integers;
-C             =  3:  the sum of block sizes must be equal to MP;
-C             =  4:  the size of a real block must be equal to 1;
-C             =  5:  the block type must be either 1 or 2;
-C             =  6:  errors in solving linear equations or in matrix
-C                    inversion;
-C             =  7:  errors in computing eigenvalues or singular values.
-C             = 1i:  INFO on exit from SB10YD is i. (1i means 10 + i.)
-C
-C     METHOD
-C
-C     I.   First, W(jw) for the given closed-loop system is being
-C          estimated.
-C     II.  Now, AB13MD SLICOT subroutine can obtain the D(jw) scaling
-C          system with respect to NBLOCK and ITYPE, and colaterally,
-C          mju(jw).
-C          If QUTOL < 0 then the estimations stop and the routine exits.
-C     III. Now that we have D(jw), SB10YD subroutine can do block-by-
-C          block fit. For each block it tries with an increasing order
-C          of the fit, starting with 1 until the
-C          (mean quadratic error + max quadratic error)/2
-C          between the Dii(jw) and the estimated frequency responce
-C          of the block becomes less than or equal to the routine
-C          argument QUTOL, or the order becomes equal to ORD.
-C     IV.  Arrange the obtained blocks in the AD, BD, CD and DD
-C          matrices and estimate the total order of D(s), TOTORD.
-C     V.   Add the system I_f to the system obtained in IV.
-C
-C     REFERENCES
-C
-C     [1] Balas, G., Doyle, J., Glover, K., Packard, A. and Smith, R.
-C         Mu-analysis and Synthesis toolbox - User's Guide,
-C         The Mathworks Inc., Natick, MA, USA, 1998.
-C
-C     CONTRIBUTORS
-C
-C     Asparuh Markovski, Technical University of Sofia, July 2003.
-C
-C     REVISIONS
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Aug. 2003.
-C     A. Markovski, V. Sima, October 2003.
-C
-C     KEYWORDS
-C
-C     Frequency response, H-infinity optimal control, robust control,
-C     structured singular value.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE, TWO, THREE
-      PARAMETER          ( ZERO  = 0.0D+0, ONE = 1.0D+0, TWO = 2.0D+0,
-     $                     THREE = 3.0D+0 )
-      INTEGER            HNPTS
-      PARAMETER          ( HNPTS = 2048 )
-C     ..
-C     .. Scalar Arguments ..
-      INTEGER           F, INFO, LDA, LDAD, LDB, LDBD, LDC, LDCD, LDD,
-     $                  LDDD, LDWORK, LENDAT, LIWORK, LZWORK, MNB, MP,
-     $                  NC, ORD, TOTORD
-      DOUBLE PRECISION  QUTOL
-C     ..
-C     .. Array Arguments ..
-      INTEGER           ITYPE(*), IWORK(*), NBLOCK(*)
-      DOUBLE PRECISION  A(LDA, *), AD(LDAD, *), B(LDB, *), BD(LDBD, *),
-     $                  C(LDC, *), CD(LDCD, *), D(LDD, *), DD(LDDD, *),
-     $                  DWORK(*), MJU(*), OMEGA(*)
-      COMPLEX*16        ZWORK(*)
-C     ..
-C     .. Local Scalars ..
-      CHARACTER         BALEIG, INITA
-      INTEGER           CLWMAX, CORD, DLWMAX, I, IC, ICWRK, IDWRK, II,
-     $                  INFO2, IWAD, IWB, IWBD, IWCD, IWDD, IWGJOM,
-     $                  IWIFRD, IWRFRD, IWX, K, LCSIZE, LDSIZE, LORD,
-     $                  LW1, LW2, LW3, LW4, LWA, LWB, MAXCWR, MAXWRK,
-     $                  MN, W
-      DOUBLE PRECISION  MAQE, MEQE, MOD1, MOD2, RCND, RCOND, RQE, TOL,
-     $                  TOLER
-      COMPLEX*16        FREQ
-C     ..
-C     .. External Functions ..
-      DOUBLE PRECISION  DLAMCH
-      EXTERNAL          DLAMCH
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL          AB13MD, DCOPY, DLACPY, DLASET, DSCAL, SB10YD,
-     $                  TB05AD, XERBLA
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC         ABS, DCMPLX, INT, MAX, MIN, SQRT
-C
-C     Decode and test input parameters.
-C
-C     @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
-C     Workspace usage 1.
-C
-C     real
-C
-      IWX    = 1 + MP*LENDAT
-      IWGJOM = IWX + 2*MNB - 1
-      IDWRK  = IWGJOM + MP
-      LDSIZE = LDWORK - IDWRK + 1
-C
-C     complex
-C
-      IWB    = MP*MP + 1
-      ICWRK  = IWB + NC*MP
-      LCSIZE = LZWORK - ICWRK + 1
-C
-      INFO = 0
-      IF ( NC.LT.0 ) THEN
-         INFO = -1
-      ELSE IF( MP.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( LENDAT.LT.2 ) THEN
-         INFO = -3
-      ELSE IF( F.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( ORD.GT.LENDAT - 1 ) THEN
-         INFO = -5
-      ELSE IF( MNB.LT.1 .OR. MNB.GT.MP ) THEN
-         INFO = -6
-      ELSE IF( LDA.LT.MAX( 1, NC ) ) THEN
-         INFO = -11
-      ELSE IF( LDB.LT.MAX( 1, NC ) ) THEN
-         INFO = -13
-      ELSE IF( LDC.LT.MAX( 1, MP ) ) THEN
-         INFO = -15
-      ELSE IF( LDD.LT.MAX( 1, MP ) ) THEN
-         INFO = -17
-      ELSE IF( LDAD.LT.1 .OR. ( QUTOL.GE.ZERO .AND. LDAD.LT.MP*ORD ) )
-     $      THEN
-         INFO = -21
-      ELSE IF( LDBD.LT.1 .OR. ( QUTOL.GE.ZERO .AND. LDBD.LT.MP*ORD ) )
-     $      THEN
-         INFO = -23
-      ELSE IF( LDCD.LT.1 .OR. ( QUTOL.GE.ZERO .AND. LDCD.LT.MP + F ) )
-     $      THEN
-         INFO = -25
-      ELSE IF( LDDD.LT.1 .OR. ( QUTOL.GE.ZERO .AND. LDDD.LT.MP + F ) )
-     $      THEN
-         INFO = -27
-      ELSE
-C
-C        Compute workspace.
-C
-         II  = MAX( NC, 4*MNB - 2, MP )
-         MN  = MIN( 2*LENDAT, 2*ORD + 1 )
-         LWA = IDWRK - 1
-         LWB = LENDAT*( MP + 2 ) + ORD*( ORD + 2 ) + 1
-         LW1 = 2*LENDAT + 4*HNPTS
-         LW2 =   LENDAT + 6*HNPTS
-         LW3 = 2*LENDAT*( 2*ORD + 1 ) + MAX( 2*LENDAT, 2*ORD + 1 ) +
-     $                                  MAX( MN + 6*ORD + 4, 2*MN + 1 )
-         LW4 = MAX( ORD*ORD + 5*ORD, 6*ORD + 1 + MIN( 1, ORD ) )
-C
-         DLWMAX = LWA + MAX( NC + MAX( NC, MP - 1 ),
-     $                       2*MP*MP*MNB - MP*MP + 9*MNB*MNB + MP*MNB +
-     $                       11*MP + 33*MNB - 11 )
-C
-         CLWMAX = MAX( ICWRK - 1 + NC*NC + 2*NC,
-     $                 6*MP*MP*MNB + 13*MP*MP + 6*MNB + 6*MP - 3 )
-C
-         IF ( QUTOL.GE.ZERO ) THEN
-            II     = MAX( II, 2*ORD + 1 )
-            DLWMAX = MAX( DLWMAX,
-     $                    LWB + MAX( 2, LW1, LW2, LW3, LW4, 2*ORD ) )
-            CLWMAX = MAX( CLWMAX, LENDAT*( 2*ORD + 3 ),
-     $                    ORD*( ORD + 3 ) + 1 )
-         END IF
-         IF ( LIWORK.LT.II ) THEN
-            INFO = -30
-         ELSE IF ( LDWORK.LT.MAX( 3, DLWMAX ) ) THEN
-            INFO = -32
-         ELSE IF ( LZWORK.LT.CLWMAX ) THEN
-            INFO = -34
-         END IF
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'SB10MD', -INFO )
-         RETURN
-      END IF
-C
-      ORD    = MAX( 1, ORD )
-      TOTORD = 0
-C
-C     Quick return if possible.
-C
-      IF( NC.EQ.0 .OR. MP.EQ.0 ) THEN
-         DWORK(1) = THREE
-         DWORK(2) = ZERO
-         DWORK(3) = ONE
-         RETURN
-      END IF
-C
-      TOLER = SQRT( DLAMCH( 'Epsilon' ) )
-C
-      BALEIG = 'C'
-      RCOND  = ONE
-      MAXCWR = CLWMAX
-C
-C     @@@ 1. Estimate W(jw) for the closed-loop system, @@@
-C     @@@      D(jw) and mju(jw) for each frequency.    @@@
-C
-      DO 30 W = 1, LENDAT
-         FREQ = DCMPLX( ZERO, OMEGA(W) )
-         IF ( W.EQ.1 ) THEN
-            INITA = 'G'
-         ELSE
-            INITA = 'H'
-         END IF
-C
-C        Compute C*inv(jw*I-A)*B.
-C        Integer workspace: need   NC.
-C        Real workspace:    need   LWA + NC + MAX(NC,MP-1);
-C                           prefer larger,
-C                           where  LWA = MP*LENDAT + 2*MNB + MP - 1.
-C        Complex workspace: need   MP*MP + NC*MP + NC*NC + 2*NC.
-C
-         CALL TB05AD( BALEIG, INITA, NC, MP, MP, FREQ, A, LDA, B, LDB,
-     $                C, LDC, RCND, ZWORK, MP, DWORK, DWORK, ZWORK(IWB),
-     $                NC, IWORK, DWORK(IDWRK), LDSIZE, ZWORK(ICWRK),
-     $                LCSIZE, INFO2 )
-C
-         IF ( INFO2.GT.0 ) THEN
-            INFO = 1
-            RETURN
-         END IF
-C
-         RCOND = MIN( RCOND, RCND )
-         IF ( W.EQ.1 )
-     $      MAXWRK = INT( DWORK(IDWRK) + IDWRK - 1 )
-         IC = 0
-C
-C        D + C*inv(jw*I-A)*B
-C
-         DO 20 K = 1, MP
-            DO 10 I = 1, MP
-               IC = IC + 1
-               ZWORK(IC) = ZWORK(IC) + DCMPLX ( D(I,K), ZERO )
-   10       CONTINUE
-   20    CONTINUE
-C
-C        Estimate D(jw) and mju(jw).
-C        Integer workspace: need   MAX(4*MNB-2,MP).
-C        Real workspace:    need   LWA + 2*MP*MP*MNB - MP*MP + 9*MNB*MNB
-C                                  + MP*MNB + 11*MP + 33*MNB - 11;
-C                           prefer larger.
-C        Complex workspace: need   6*MP*MP*MNB + 13*MP*MP + 6*MNB +
-C                                  6*MP - 3.
-C
-         CALL AB13MD( 'N', MP, ZWORK, MP, MNB, NBLOCK, ITYPE,
-     $                DWORK(IWX), MJU(W), DWORK((W-1)*MP+1),
-     $                DWORK(IWGJOM), IWORK, DWORK(IDWRK), LDSIZE,
-     $                ZWORK(IWB), LZWORK-IWB+1, INFO2 )
-C
-         IF ( INFO2.NE.0 ) THEN
-            INFO = INFO2 + 1
-            RETURN
-         END IF
-C
-         IF ( W.EQ.1 ) THEN
-            MAXWRK = MAX( MAXWRK, INT( DWORK(IDWRK) ) + IDWRK - 1 )
-            MAXCWR = MAX( MAXCWR, INT( ZWORK(IWB) ) + IWB - 1 )
-         END IF
-C
-C        Normalize D(jw) through it's last entry.
-C
-         IF ( DWORK(W*MP).NE.ZERO )
-     $      CALL DSCAL( MP, ONE/DWORK(W*MP), DWORK((W-1)*MP+1), 1 )
-C
-   30 CONTINUE
-C
-C     Quick return if needed.
-C
-      IF ( QUTOL.LT.ZERO ) THEN
-         DWORK(1) = MAXWRK
-         DWORK(2) = MAXCWR
-         DWORK(3) = RCOND
-         RETURN
-      END IF
-C
-C     @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
-C     Workspace usage 2.
-C
-C     real
-C
-      IWRFRD = IWX
-      IWIFRD = IWRFRD + LENDAT
-      IWAD   = IWIFRD + LENDAT
-      IWBD   = IWAD + ORD*ORD
-      IWCD   = IWBD + ORD
-      IWDD   = IWCD + ORD
-      IDWRK  = IWDD + 1
-      LDSIZE = LDWORK - IDWRK + 1
-C
-C     complex
-C
-      ICWRK  = ORD + 2
-      LCSIZE = LZWORK - ICWRK + 1
-      INITA  = 'H'
-C
-C     Use default tolerance for SB10YD.
-C
-      TOL = -ONE
-C
-C     @@@ 2. Clear imag parts of D(jw) for SB10YD. @@@
-C
-      DO 40 I = 1, LENDAT
-         DWORK(IWIFRD+I-1) = ZERO
-   40 CONTINUE
-C
-C     @@@ 3. Clear AD, BD, CD and initialize DD with I_(mp+f). @@@
-C
-      CALL DLASET( 'Full', MP*ORD, MP*ORD, ZERO, ZERO, AD, LDAD )
-      CALL DLASET( 'Full', MP*ORD, MP+F,   ZERO, ZERO, BD, LDBD )
-      CALL DLASET( 'Full', MP+F,   MP*ORD, ZERO, ZERO, CD, LDCD )
-      CALL DLASET( 'Full', MP+F,   MP+F,   ZERO, ONE,  DD, LDDD )
-C
-C     @@@ 4. Block by block frequency identification. @@@
-C
-      DO 80 II = 1, MP
-C
-         CALL DCOPY( LENDAT, DWORK(II), MP, DWORK(IWRFRD), 1 )
-C
-C        Increase CORD from 1 to ORD for every block, if needed.
-C
-         CORD = 1
-C
-   50    CONTINUE
-            LORD = CORD
-C
-C           Now, LORD is the desired order.
-C           Integer workspace: need   2*N+1, where N = LORD.
-C           Real workspace:    need   LWB + MAX( 2, LW1, LW2, LW3, LW4),
-C                                     where
-C                                     LWB = LENDAT*(MP+2) +
-C                                           ORD*(ORD+2) + 1,
-C                                     HNPTS = 2048, and
-C                                     LW1 = 2*LENDAT + 4*HNPTS;
-C                                     LW2 =   LENDAT + 6*HNPTS;
-C                                     MN  = min( 2*LENDAT, 2*N+1 )
-C                                     LW3 = 2*LENDAT*(2*N+1) +
-C                                           max( 2*LENDAT, 2*N+1 ) +
-C                                           max( MN + 6*N + 4, 2*MN+1 );
-C                                     LW4 = max( N*N + 5*N,
-C                                                6*N + 1 + min( 1,N ) );
-C                              prefer larger.
-C           Complex workspace: need   LENDAT*(2*N+3).
-C
-            CALL SB10YD( 0, 1, LENDAT, DWORK(IWRFRD), DWORK(IWIFRD),
-     $                   OMEGA, LORD, DWORK(IWAD), ORD, DWORK(IWBD),
-     $                   DWORK(IWCD), DWORK(IWDD), TOL, IWORK,
-     $                   DWORK(IDWRK), LDSIZE, ZWORK, LZWORK, INFO2 )
-C
-C           At this point, LORD is the actual order reached by SB10YD,
-C           0 <= LORD <= CORD.
-C           [ADi,BDi; CDi,DDi] is a minimal realization with ADi in
-C           upper Hessenberg form.
-C           The leading LORD-by-LORD part of ORD-by-ORD DWORK(IWAD)
-C           contains ADi, the leading LORD-by-1 part of ORD-by-1
-C           DWORK(IWBD) contains BDi, the leading 1-by-LORD part of
-C           1-by-ORD DWORK(IWCD) contains CDi, DWORK(IWDD) contains DDi.
-C
-            IF ( INFO2.NE.0 ) THEN
-               INFO = 10 + INFO2
-               RETURN
-            END IF
-C
-C          Compare the original D(jw) with the fitted one.
-C
-            MEQE = ZERO
-            MAQE = ZERO
-C
-            DO 60 W = 1, LENDAT
-               FREQ = DCMPLX( ZERO, OMEGA(W) )
-C
-C              Compute CD*inv(jw*I-AD)*BD.
-C              Integer workspace: need   LORD.
-C              Real workspace:    need   LWB + 2*LORD;
-C                                 prefer larger.
-C              Complex workspace: need   1 + ORD + LORD*LORD + 2*LORD.
-C
-               CALL TB05AD( BALEIG, INITA, LORD, 1, 1, FREQ,
-     $                      DWORK(IWAD), ORD, DWORK(IWBD), ORD,
-     $                      DWORK(IWCD), 1, RCND, ZWORK, 1,
-     $                      DWORK(IDWRK), DWORK(IDWRK), ZWORK(2), ORD,
-     $                      IWORK, DWORK(IDWRK), LDSIZE, ZWORK(ICWRK),
-     $                      LCSIZE, INFO2 )
-C
-               IF ( INFO2.GT.0 ) THEN
-                  INFO = 1
-                  RETURN
-               END IF
-C
-               RCOND = MIN( RCOND, RCND )
-               IF ( W.EQ.1 )
-     $            MAXWRK = MAX( MAXWRK, INT( DWORK(IDWRK) ) + IDWRK - 1)
-C
-C              DD + CD*inv(jw*I-AD)*BD
-C
-               ZWORK(1) = ZWORK(1) + DCMPLX( DWORK(IWDD), ZERO )
-C
-               MOD1 = ABS( DWORK(IWRFRD+W-1) )
-               MOD2 = ABS( ZWORK(1) )
-               RQE  = ABS( ( MOD1 - MOD2 )/( MOD1 + TOLER ) )
-               MEQE = MEQE + RQE
-               MAQE = MAX( MAQE, RQE )
-C
-   60       CONTINUE
-C
-            MEQE = MEQE/LENDAT
-C
-            IF ( ( ( MEQE + MAQE )/TWO.LE.QUTOL ) .OR.
-     $           ( CORD.EQ.ORD ) ) THEN
-               GOTO 70
-            END IF
-C
-            CORD = CORD + 1
-         GOTO 50
-C
-   70    TOTORD = TOTORD + LORD
-C
-C        Copy ad(ii), bd(ii) and cd(ii) to AD, BD and CD, respectively.
-C
-         CALL DLACPY( 'Full', LORD, LORD, DWORK(IWAD), ORD,
-     $                AD(TOTORD-LORD+1,TOTORD-LORD+1), LDAD )
-         CALL DCOPY(  LORD, DWORK(IWBD), 1, BD(TOTORD-LORD+1,II), 1 )
-         CALL DCOPY(  LORD, DWORK(IWCD), 1, CD(II,TOTORD-LORD+1), LDCD )
-C
-C        Copy dd(ii) to DD.
-C
-         DD(II,II) = DWORK(IWDD)
-C
-   80 CONTINUE
-C
-      DWORK(1) = MAXWRK
-      DWORK(2) = MAXCWR
-      DWORK(3) = RCOND
-      RETURN
-C
-C *** Last line of SB10MD ***
-      END
--- a/extra/control-devel/devel/dksyn/SB10PD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,505 +0,0 @@
-      SUBROUTINE SB10PD( N, M, NP, NCON, NMEAS, A, LDA, B, LDB, C, LDC,
-     $                   D, LDD, TU, LDTU, TY, LDTY, RCOND, TOL, DWORK,
-     $                   LDWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To reduce the matrices D12 and D21 of the linear time-invariant
-C     system
-C
-C                   | A  | B1  B2  |   | A | B |
-C               P = |----|---------| = |---|---|
-C                   | C1 | D11 D12 |   | C | D |
-C                   | C2 | D21 D22 |
-C
-C     to unit diagonal form, to transform the matrices B, C, and D11 to
-C     satisfy the formulas in the computation of an H2 and H-infinity
-C     (sub)optimal controllers and to check the rank conditions.
-C
-C     ARGUMENTS
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the system.  N >= 0.
-C
-C     M       (input) INTEGER
-C             The column size of the matrix B.  M >= 0.
-C
-C     NP      (input) INTEGER
-C             The row size of the matrix C.  NP >= 0.
-C
-C     NCON    (input) INTEGER
-C             The number of control inputs (M2).  M >= NCON >= 0,
-C             NP-NMEAS >= NCON.
-C
-C     NMEAS   (input) INTEGER
-C             The number of measurements (NP2).  NP >= NMEAS >= 0,
-C             M-NCON >= NMEAS.
-C
-C     A       (input) DOUBLE PRECISION array, dimension (LDA,N)
-C             The leading N-by-N part of this array must contain the
-C             system state matrix A.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.  LDA >= max(1,N).
-C
-C     B       (input/output) DOUBLE PRECISION array, dimension (LDB,M)
-C             On entry, the leading N-by-M part of this array must
-C             contain the system input matrix B.
-C             On exit, the leading N-by-M part of this array contains
-C             the transformed system input matrix B.
-C
-C     LDB     INTEGER
-C             The leading dimension of the array B.  LDB >= max(1,N).
-C
-C     C       (input/output) DOUBLE PRECISION array, dimension (LDC,N)
-C             On entry, the leading NP-by-N part of this array must
-C             contain the system output matrix C.
-C             On exit, the leading NP-by-N part of this array contains
-C             the transformed system output matrix C.
-C
-C     LDC     INTEGER
-C             The leading dimension of the array C.  LDC >= max(1,NP).
-C
-C     D       (input/output) DOUBLE PRECISION array, dimension (LDD,M)
-C             On entry, the leading NP-by-M part of this array must
-C             contain the system input/output matrix D. The
-C             NMEAS-by-NCON trailing submatrix D22 is not referenced.
-C             On exit, the leading (NP-NMEAS)-by-(M-NCON) part of this
-C             array contains the transformed submatrix D11.
-C             The transformed submatrices D12 = [ 0  Im2 ]' and
-C             D21 = [ 0  Inp2 ] are not stored. The corresponding part
-C             of this array contains no useful information.
-C
-C     LDD     INTEGER
-C             The leading dimension of the array D.  LDD >= max(1,NP).
-C
-C     TU      (output) DOUBLE PRECISION array, dimension (LDTU,M2)
-C             The leading M2-by-M2 part of this array contains the
-C             control transformation matrix TU.
-C
-C     LDTU    INTEGER
-C             The leading dimension of the array TU.  LDTU >= max(1,M2).
-C
-C     TY      (output) DOUBLE PRECISION array, dimension (LDTY,NP2)
-C             The leading NP2-by-NP2 part of this array contains the
-C             measurement transformation matrix TY.
-C
-C     LDTY    INTEGER
-C             The leading dimension of the array TY.
-C             LDTY >= max(1,NP2).
-C
-C     RCOND   (output) DOUBLE PRECISION array, dimension (2)
-C             RCOND(1) contains the reciprocal condition number of the
-C                      control transformation matrix TU;
-C             RCOND(2) contains the reciprocal condition number of the
-C                      measurement transformation matrix TY.
-C             RCOND is set even if INFO = 3 or INFO = 4; if INFO = 3,
-C             then RCOND(2) was not computed, but it is set to 0.
-C
-C     Tolerances
-C
-C     TOL     DOUBLE PRECISION
-C             Tolerance used for controlling the accuracy of the applied
-C             transformations. Transformation matrices TU and TY whose
-C             reciprocal condition numbers are less than TOL are not
-C             allowed. If TOL <= 0, then a default value equal to
-C             sqrt(EPS) is used, where EPS is the relative machine
-C             precision.
-C
-C     Workspace
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if INFO = 0, DWORK(1) contains the optimal
-C             LDWORK.
-C
-C     LDWORK  INTEGER
-C             The dimension of the array DWORK.
-C             LDWORK >= MAX(1,LW1,LW2,LW3,LW4), where
-C             LW1 = (N+NP1+1)*(N+M2) + MAX(3*(N+M2)+N+NP1,5*(N+M2)),
-C             LW2 = (N+NP2)*(N+M1+1) + MAX(3*(N+NP2)+N+M1,5*(N+NP2)),
-C             LW3 = M2 + NP1*NP1 + MAX(NP1*MAX(N,M1),3*M2+NP1,5*M2),
-C             LW4 = NP2 + M1*M1 + MAX(MAX(N,NP1)*M1,3*NP2+M1,5*NP2),
-C             with M1 = M - M2 and NP1 = NP - NP2.
-C             For good performance, LDWORK must generally be larger.
-C             Denoting Q = MAX(M1,M2,NP1,NP2), an upper bound is
-C             MAX(1,(N+Q)*(N+Q+6),Q*(Q+MAX(N,Q,5)+1).
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = 1:  if the matrix | A   B2  | had not full column rank
-C                                 | C1  D12 |
-C                   in respect to the tolerance EPS;
-C             = 2:  if the matrix | A   B1  | had not full row rank in
-C                                 | C2  D21 |
-C                   respect to the tolerance EPS;
-C             = 3:  if the matrix D12 had not full column rank in
-C                   respect to the tolerance TOL;
-C             = 4:  if the matrix D21 had not full row rank in respect
-C                   to the tolerance TOL;
-C             = 5:  if the singular value decomposition (SVD) algorithm
-C                   did not converge (when computing the SVD of one of
-C                   the matrices |A   B2 |, |A   B1 |, D12 or D21).
-C                                |C1  D12|  |C2  D21|
-C
-C     METHOD
-C
-C     The routine performs the transformations described in [2].
-C
-C     REFERENCES
-C
-C     [1] Glover, K. and Doyle, J.C.
-C         State-space formulae for all stabilizing controllers that
-C         satisfy an Hinf norm bound and relations to risk sensitivity.
-C         Systems and Control Letters, vol. 11, pp. 167-172, 1988.
-C
-C     [2] Balas, G.J., Doyle, J.C., Glover, K., Packard, A., and
-C         Smith, R.
-C         mu-Analysis and Synthesis Toolbox.
-C         The MathWorks Inc., Natick, Mass., 1995.
-C
-C     NUMERICAL ASPECTS
-C
-C     The precision of the transformations can be controlled by the
-C     condition numbers of the matrices TU and TY as given by the
-C     values of RCOND(1) and RCOND(2), respectively. An error return
-C     with INFO = 3 or INFO = 4 will be obtained if the condition
-C     number of TU or TY, respectively, would exceed 1/TOL.
-C
-C     CONTRIBUTORS
-C
-C     P.Hr. Petkov, D.W. Gu and M.M. Konstantinov, October 1998.
-C
-C     REVISIONS
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, May 1999,
-C     Feb. 2000.
-C
-C     KEYWORDS
-C
-C     H-infinity optimal control, robust control, singular value
-C     decomposition.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0 )
-C     ..
-C     .. Scalar Arguments ..
-      INTEGER            INFO, LDA, LDB, LDC, LDD, LDTU, LDTY, LDWORK,
-     $                   M, N, NCON, NMEAS, NP
-      DOUBLE PRECISION   TOL
-C     ..
-C     .. Array Arguments ..
-      DOUBLE PRECISION   A( LDA, * ), B( LDB, * ), C( LDC, * ),
-     $                   D( LDD, * ), DWORK( * ), RCOND( 2 ),
-     $                   TU( LDTU, * ), TY( LDTY, * )
-C     ..
-C     .. Local Scalars ..
-      INTEGER            IEXT, INFO2, IQ, IWRK, J, LWAMAX, M1, M2,
-     $                   MINWRK, ND1, ND2, NP1, NP2
-      DOUBLE PRECISION   EPS, TOLL
-C     ..
-C     .. External Functions ..
-      DOUBLE PRECISION   DLAMCH
-      EXTERNAL           DLAMCH
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DGEMM, DGESVD, DLACPY, DSCAL, DSWAP, XERBLA
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          DBLE, INT, MAX, SQRT
-C     ..
-C     .. Executable Statements ..
-C
-C     Decode and Test input parameters.
-C
-      M1 = M - NCON
-      M2 = NCON
-      NP1 = NP - NMEAS
-      NP2 = NMEAS
-C
-      INFO = 0
-      IF( N.LT.0 ) THEN
-         INFO = -1
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( NP.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( NCON.LT.0 .OR. M1.LT.0 .OR. M2.GT.NP1 ) THEN
-         INFO = -4
-      ELSE IF( NMEAS.LT.0 .OR. NP1.LT.0 .OR. NP2.GT.M1 ) THEN
-         INFO = -5
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -7
-      ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
-         INFO = -9
-      ELSE IF( LDC.LT.MAX( 1, NP ) ) THEN
-         INFO = -11
-      ELSE IF( LDD.LT.MAX( 1, NP ) ) THEN
-         INFO = -13
-      ELSE IF( LDTU.LT.MAX( 1, M2 ) ) THEN
-         INFO = -15
-      ELSE IF( LDTY.LT.MAX( 1, NP2 ) ) THEN
-         INFO = -17
-      ELSE
-C
-C        Compute workspace.
-C
-         MINWRK = MAX( 1,
-     $                 ( N + NP1 + 1 )*( N + M2 ) +
-     $                 MAX( 3*( N + M2 ) + N + NP1, 5*( N + M2 ) ),
-     $                 ( N + NP2 )*( N + M1 + 1 ) +
-     $                 MAX( 3*( N + NP2 ) + N + M1, 5*( N + NP2 ) ),
-     $                 M2 + NP1*NP1 + MAX( NP1*MAX( N, M1 ), 3*M2 + NP1,
-     $                                     5*M2 ),
-     $                 NP2 + M1*M1 +  MAX( MAX( N, NP1 )*M1, 3*NP2 + M1,
-     $                                     5*NP2 ) )
-         IF( LDWORK.LT.MINWRK )
-     $      INFO = -21
-      END IF
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'SB10PD', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF( N.EQ.0 .OR. M.EQ.0 .OR. NP.EQ.0 .OR. M1.EQ.0 .OR. M2.EQ.0
-     $    .OR. NP1.EQ.0 .OR. NP2.EQ.0 ) THEN
-         RCOND( 1 ) = ONE
-         RCOND( 2 ) = ONE
-         DWORK( 1 ) = ONE
-         RETURN
-      END IF
-C
-      ND1  = NP1 - M2
-      ND2  = M1 - NP2
-      EPS  = DLAMCH( 'Epsilon' )
-      TOLL = TOL
-      IF( TOLL.LE.ZERO ) THEN
-C
-C        Set the default value of the tolerance for condition tests.
-C
-         TOLL = SQRT( EPS )
-      END IF
-C
-C     Determine if |A-jwI  B2 | has full column rank at w = 0.
-C                  |  C1   D12|
-C     Workspace:  need   (N+NP1+1)*(N+M2) +
-C                        max(3*(N+M2)+N+NP1,5*(N+M2));
-C                 prefer larger.
-C
-      IEXT = N + M2 + 1
-      IWRK = IEXT + ( N + NP1 )*( N + M2 )
-      CALL DLACPY( 'Full', N, N, A, LDA, DWORK( IEXT ), N+NP1 )
-      CALL DLACPY( 'Full', NP1, N, C, LDC, DWORK( IEXT+N ), N+NP1 )
-      CALL DLACPY( 'Full', N, M2, B( 1, M1+1 ), LDB,
-     $             DWORK( IEXT+(N+NP1)*N ), N+NP1 )
-      CALL DLACPY( 'Full', NP1, M2, D( 1, M1+1 ), LDD,
-     $             DWORK( IEXT+(N+NP1)*N+N ), N+NP1 )
-      CALL DGESVD( 'N', 'N', N+NP1, N+M2, DWORK( IEXT ), N+NP1, DWORK,
-     $             TU, LDTU, TY, LDTY, DWORK( IWRK ), LDWORK-IWRK+1,
-     $             INFO2 )
-      IF( INFO2.NE.0 ) THEN
-          INFO = 5
-          RETURN
-      END IF
-      IF( DWORK( N+M2 )/DWORK( 1 ).LE.EPS ) THEN
-          INFO = 1
-          RETURN
-      END IF
-      LWAMAX = INT( DWORK( IWRK ) ) + IWRK - 1
-C
-C     Determine if |A-jwI  B1 | has full row rank at w = 0.
-C                  |  C2   D21|
-C     Workspace:  need   (N+NP2)*(N+M1+1) +
-C                        max(3*(N+NP2)+N+M1,5*(N+NP2));
-C                 prefer larger.
-C
-      IEXT = N + NP2 + 1
-      IWRK = IEXT + ( N + NP2 )*( N + M1 )
-      CALL DLACPY( 'Full', N, N, A, LDA, DWORK( IEXT ), N+NP2 )
-      CALL DLACPY( 'Full', NP2, N, C( NP1+1, 1), LDC, DWORK( IEXT+N ),
-     $             N+NP2 )
-      CALL DLACPY( 'Full', N, M1, B, LDB, DWORK( IEXT+(N+NP2)*N ),
-     $             N+NP2 )
-      CALL DLACPY( 'Full', NP2, M1, D( NP1+1, 1 ), LDD,
-     $             DWORK( IEXT+(N+NP2)*N+N ), N+NP2 )
-      CALL DGESVD( 'N', 'N', N+NP2, N+M1, DWORK( IEXT ), N+NP2, DWORK,
-     $             TU, LDTU, TY, LDTY, DWORK( IWRK ), LDWORK-IWRK+1,
-     $             INFO2 )
-      IF( INFO2.NE.0 ) THEN
-          INFO = 5
-          RETURN
-      END IF
-      IF( DWORK( N+NP2 )/DWORK( 1 ).LE.EPS ) THEN
-          INFO = 2
-          RETURN
-      END IF
-      LWAMAX = MAX( INT( DWORK( IWRK ) ) + IWRK - 1, LWAMAX )
-C
-C     Determine SVD of D12, D12 = U12 S12 V12', and check if D12 has
-C     full column rank. V12' is stored in TU.
-C     Workspace:  need   M2 + NP1*NP1 + max(3*M2+NP1,5*M2);
-C                 prefer larger.
-C
-      IQ   = M2 + 1
-      IWRK = IQ + NP1*NP1
-C
-      CALL DGESVD( 'A', 'A', NP1, M2, D( 1, M1+1 ), LDD, DWORK,
-     $             DWORK( IQ ), NP1, TU, LDTU, DWORK( IWRK ),
-     $             LDWORK-IWRK+1, INFO2 )
-      IF( INFO2.NE.0 ) THEN
-          INFO = 5
-          RETURN
-      END IF
-C
-      RCOND( 1 ) = DWORK( M2 )/DWORK( 1 )
-      IF( RCOND( 1 ).LE.TOLL ) THEN
-          RCOND( 2 ) = ZERO
-          INFO = 3
-          RETURN
-      END IF
-      LWAMAX = MAX( INT( DWORK( IWRK ) ) + IWRK - 1, LWAMAX )
-C
-C     Determine Q12.
-C
-      IF( ND1.GT.0 ) THEN
-         CALL DLACPY( 'Full', NP1, M2, DWORK( IQ ), NP1, D( 1, M1+1 ),
-     $                LDD )
-         CALL DLACPY( 'Full', NP1, ND1, DWORK( IQ+NP1*M2 ), NP1,
-     $                DWORK( IQ ), NP1 )
-         CALL DLACPY( 'Full', NP1, M2, D( 1, M1+1 ), LDD,
-     $                DWORK( IQ+NP1*ND1 ), NP1 )
-      END IF
-C
-C     Determine Tu by transposing in-situ and scaling.
-C
-      DO 10 J = 1, M2 - 1
-         CALL DSWAP( J, TU( J+1, 1 ), LDTU, TU( 1, J+1 ), 1 )
-   10 CONTINUE
-C
-      DO 20 J = 1, M2
-         CALL DSCAL( M2, ONE/DWORK( J ), TU( 1, J ), 1 )
-   20 CONTINUE
-C
-C     Determine C1 =: Q12'*C1.
-C     Workspace:  M2 + NP1*NP1 + NP1*N.
-C
-      CALL DGEMM( 'T', 'N', NP1, N, NP1, ONE, DWORK( IQ ), NP1, C, LDC,
-     $            ZERO, DWORK( IWRK ), NP1 )
-      CALL DLACPY( 'Full', NP1, N, DWORK( IWRK ), NP1, C, LDC )
-      LWAMAX = MAX( IWRK + NP1*N - 1, LWAMAX )
-C
-C     Determine D11 =: Q12'*D11.
-C     Workspace:  M2 + NP1*NP1 + NP1*M1.
-C
-      CALL DGEMM( 'T', 'N', NP1, M1, NP1, ONE, DWORK( IQ ), NP1, D, LDD,
-     $            ZERO, DWORK( IWRK ), NP1 )
-      CALL DLACPY( 'Full', NP1, M1, DWORK( IWRK ), NP1, D, LDD )
-      LWAMAX = MAX( IWRK + NP1*M1 - 1, LWAMAX )
-C
-C     Determine SVD of D21, D21 = U21 S21 V21', and check if D21 has
-C     full row rank. U21 is stored in TY.
-C     Workspace:  need   NP2 + M1*M1 + max(3*NP2+M1,5*NP2);
-C                 prefer larger.
-C
-      IQ   = NP2 + 1
-      IWRK = IQ + M1*M1
-C
-      CALL DGESVD( 'A', 'A', NP2, M1, D( NP1+1, 1 ), LDD, DWORK, TY,
-     $             LDTY, DWORK( IQ ), M1, DWORK( IWRK ), LDWORK-IWRK+1,
-     $             INFO2 )
-      IF( INFO2.NE.0 ) THEN
-          INFO = 5
-          RETURN
-      END IF
-C
-      RCOND( 2 ) = DWORK( NP2 )/DWORK( 1 )
-      IF( RCOND( 2 ).LE.TOLL ) THEN
-          INFO = 4
-          RETURN
-      END IF
-      LWAMAX = MAX( INT( DWORK( IWRK ) ) + IWRK - 1, LWAMAX )
-C
-C     Determine Q21.
-C
-      IF( ND2.GT.0 ) THEN
-         CALL DLACPY( 'Full', NP2, M1, DWORK( IQ ), M1, D( NP1+1, 1 ),
-     $                LDD )
-         CALL DLACPY( 'Full', ND2, M1, DWORK( IQ+NP2 ), M1, DWORK( IQ ),
-     $                M1 )
-         CALL DLACPY( 'Full', NP2, M1, D( NP1+1, 1 ), LDD,
-     $                DWORK( IQ+ND2 ), M1 )
-      END IF
-C
-C     Determine Ty by scaling and transposing in-situ.
-C
-      DO 30 J = 1, NP2
-         CALL DSCAL( NP2, ONE/DWORK( J ), TY( 1, J ), 1 )
-   30 CONTINUE
-C
-      DO 40 J = 1, NP2 - 1
-         CALL DSWAP( J, TY( J+1, 1 ), LDTY, TY( 1, J+1 ), 1 )
-   40 CONTINUE
-C
-C     Determine B1 =: B1*Q21'.
-C     Workspace:  NP2 + M1*M1 + N*M1.
-C
-      CALL DGEMM( 'N', 'T', N, M1, M1, ONE, B, LDB, DWORK( IQ ), M1,
-     $            ZERO, DWORK( IWRK ), N )
-      CALL DLACPY( 'Full', N, M1, DWORK( IWRK ), N, B, LDB )
-      LWAMAX = MAX( IWRK + N*M1 - 1, LWAMAX )
-C
-C     Determine D11 =: D11*Q21'.
-C     Workspace:  NP2 + M1*M1 + NP1*M1.
-C
-      CALL DGEMM( 'N', 'T', NP1, M1, M1, ONE, D, LDD, DWORK( IQ ), M1,
-     $            ZERO, DWORK( IWRK ), NP1 )
-      CALL DLACPY( 'Full', NP1, M1, DWORK( IWRK ), NP1, D, LDD )
-      LWAMAX = MAX( IWRK + NP1*M1 - 1, LWAMAX )
-C
-C     Determine B2 =: B2*Tu.
-C     Workspace:  N*M2.
-C
-      CALL DGEMM( 'N', 'N', N, M2, M2, ONE, B( 1, M1+1 ), LDB, TU, LDTU,
-     $            ZERO, DWORK, N )
-      CALL DLACPY( 'Full', N, M2, DWORK, N, B( 1, M1+1 ), LDB )
-C
-C     Determine C2 =: Ty*C2.
-C     Workspace:  NP2*N.
-C
-      CALL DGEMM( 'N', 'N', NP2, N, NP2, ONE, TY, LDTY,
-     $            C( NP1+1, 1 ), LDC, ZERO, DWORK, NP2 )
-      CALL DLACPY( 'Full', NP2, N, DWORK, NP2, C( NP1+1, 1 ), LDC )
-C
-      LWAMAX = MAX( N*MAX( M2, NP2 ), LWAMAX )
-      DWORK( 1 ) = DBLE( LWAMAX )
-      RETURN
-C *** Last line of SB10PD ***
-      END
--- a/extra/control-devel/devel/dksyn/SB10QD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,602 +0,0 @@
-      SUBROUTINE SB10QD( N, M, NP, NCON, NMEAS, GAMMA, A, LDA, B, LDB,
-     $                   C, LDC, D, LDD, F, LDF, H, LDH, X, LDX, Y, LDY,
-     $                   XYCOND, IWORK, DWORK, LDWORK, BWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To compute the state feedback and the output injection
-C     matrices for an H-infinity (sub)optimal n-state controller,
-C     using Glover's and Doyle's 1988 formulas, for the system
-C
-C                   | A  | B1  B2  |   | A | B |
-C               P = |----|---------| = |---|---|
-C                   | C1 | D11 D12 |   | C | D |
-C                   | C2 | D21 D22 |
-C
-C     and for a given value of gamma, where B2 has as column size the
-C     number of control inputs (NCON) and C2 has as row size the number
-C     of measurements (NMEAS) being provided to the controller.
-C
-C     It is assumed that
-C
-C     (A1) (A,B2) is stabilizable and (C2,A) is detectable,
-C
-C     (A2) D12 is full column rank with D12 = | 0 | and D21 is
-C                                             | I |
-C          full row rank with D21 = | 0 I | as obtained by the
-C          subroutine SB10PD,
-C
-C     (A3) | A-j*omega*I  B2  | has full column rank for all omega,
-C          |    C1        D12 |
-C
-C
-C     (A4) | A-j*omega*I  B1  |  has full row rank for all omega.
-C          |    C2        D21 |
-C
-C
-C     ARGUMENTS
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the system.  N >= 0.
-C
-C     M       (input) INTEGER
-C             The column size of the matrix B.  M >= 0.
-C
-C     NP      (input) INTEGER
-C             The row size of the matrix C.  NP >= 0.
-C
-C     NCON    (input) INTEGER
-C             The number of control inputs (M2).  M >= NCON >= 0,
-C             NP-NMEAS >= NCON.
-C
-C     NMEAS   (input) INTEGER
-C             The number of measurements (NP2).  NP >= NMEAS >= 0,
-C             M-NCON >= NMEAS.
-C
-C     GAMMA   (input) DOUBLE PRECISION
-C             The value of gamma. It is assumed that gamma is
-C             sufficiently large so that the controller is admissible.
-C             GAMMA >= 0.
-C
-C     A       (input) DOUBLE PRECISION array, dimension (LDA,N)
-C             The leading N-by-N part of this array must contain the
-C             system state matrix A.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.  LDA >= max(1,N).
-C
-C     B       (input) DOUBLE PRECISION array, dimension (LDB,M)
-C             The leading N-by-M part of this array must contain the
-C             system input matrix B.
-C
-C     LDB     INTEGER
-C             The leading dimension of the array B.  LDB >= max(1,N).
-C
-C     C       (input) DOUBLE PRECISION array, dimension (LDC,N)
-C             The leading NP-by-N part of this array must contain the
-C             system output matrix C.
-C
-C     LDC     INTEGER
-C             The leading dimension of the array C.  LDC >= max(1,NP).
-C
-C     D       (input) DOUBLE PRECISION array, dimension (LDD,M)
-C             The leading NP-by-M part of this array must contain the
-C             system input/output matrix D.
-C
-C     LDD     INTEGER
-C             The leading dimension of the array D.  LDD >= max(1,NP).
-C
-C     F       (output) DOUBLE PRECISION array, dimension (LDF,N)
-C             The leading M-by-N part of this array contains the state
-C             feedback matrix F.
-C
-C     LDF     INTEGER
-C             The leading dimension of the array F.  LDF >= max(1,M).
-C
-C     H       (output) DOUBLE PRECISION array, dimension (LDH,NP)
-C             The leading N-by-NP part of this array contains the output
-C             injection matrix H.
-C
-C     LDH     INTEGER
-C             The leading dimension of the array H.  LDH >= max(1,N).
-C
-C     X       (output) DOUBLE PRECISION array, dimension (LDX,N)
-C             The leading N-by-N part of this array contains the matrix
-C             X, solution of the X-Riccati equation.
-C
-C     LDX     INTEGER
-C             The leading dimension of the array X.  LDX >= max(1,N).
-C
-C     Y       (output) DOUBLE PRECISION array, dimension (LDY,N)
-C             The leading N-by-N part of this array contains the matrix
-C             Y, solution of the Y-Riccati equation.
-C
-C     LDY     INTEGER
-C             The leading dimension of the array Y.  LDY >= max(1,N).
-C
-C     XYCOND  (output) DOUBLE PRECISION array, dimension (2)
-C             XYCOND(1) contains an estimate of the reciprocal condition
-C                       number of the X-Riccati equation;
-C             XYCOND(2) contains an estimate of the reciprocal condition
-C                       number of the Y-Riccati equation.
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension max(2*max(N,M-NCON,NP-NMEAS),N*N)
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if INFO = 0, DWORK(1) contains the optimal
-C             LDWORK.
-C
-C     LDWORK  INTEGER
-C             The dimension of the array DWORK.
-C             LDWORK >= max(1,M*M + max(2*M1,3*N*N +
-C                                       max(N*M,10*N*N+12*N+5)),
-C                           NP*NP + max(2*NP1,3*N*N +
-C                                       max(N*NP,10*N*N+12*N+5))),
-C             where M1 = M - M2 and NP1 = NP - NP2.
-C             For good performance, LDWORK must generally be larger.
-C             Denoting Q = MAX(M1,M2,NP1,NP2), an upper bound is
-C             max(1,4*Q*Q+max(2*Q,3*N*N + max(2*N*Q,10*N*N+12*N+5))).
-C
-C     BWORK   LOGICAL array, dimension (2*N)
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = 1:  if the controller is not admissible (too small value
-C                   of gamma);
-C             = 2:  if the X-Riccati equation was not solved
-C                   successfully (the controller is not admissible or
-C                   there are numerical difficulties);
-C             = 3:  if the Y-Riccati equation was not solved
-C                   successfully (the controller is not admissible or
-C                   there are numerical difficulties).
-C
-C     METHOD
-C
-C     The routine implements the Glover's and Doyle's formulas [1],[2]
-C     modified as described in [3]. The X- and Y-Riccati equations
-C     are solved with condition and accuracy estimates [4].
-C
-C     REFERENCES
-C
-C     [1] Glover, K. and Doyle, J.C.
-C         State-space formulae for all stabilizing controllers that
-C         satisfy an Hinf norm bound and relations to risk sensitivity.
-C         Systems and Control Letters, vol. 11, pp. 167-172, 1988.
-C
-C     [2] Balas, G.J., Doyle, J.C., Glover, K., Packard, A., and
-C         Smith, R.
-C         mu-Analysis and Synthesis Toolbox.
-C         The MathWorks Inc., Natick, Mass., 1995.
-C
-C     [3] Petkov, P.Hr., Gu, D.W., and Konstantinov, M.M.
-C         Fortran 77 routines for Hinf and H2 design of continuous-time
-C         linear control systems.
-C         Rep. 98-14, Department of Engineering, Leicester University,
-C         Leicester, U.K., 1998.
-C
-C     [4] Petkov, P.Hr., Konstantinov, M.M., and Mehrmann, V.
-C         DGRSVX and DMSRIC: Fortan 77 subroutines for solving
-C         continuous-time matrix algebraic Riccati equations with
-C         condition and accuracy estimates.
-C         Preprint SFB393/98-16, Fak. f. Mathematik, Tech. Univ.
-C         Chemnitz, May 1998.
-C
-C     NUMERICAL ASPECTS
-C
-C     The precision of the solution of the matrix Riccati equations
-C     can be controlled by the values of the condition numbers
-C     XYCOND(1) and XYCOND(2) of these equations.
-C
-C     FURTHER COMMENTS
-C
-C     The Riccati equations are solved by the Schur approach
-C     implementing condition and accuracy estimates.
-C
-C     CONTRIBUTORS
-C
-C     P.Hr. Petkov, D.W. Gu and M.M. Konstantinov, October 1998.
-C
-C     REVISIONS
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, May 1999,
-C     Sept. 1999.
-C
-C     KEYWORDS
-C
-C     Algebraic Riccati equation, H-infinity optimal control, robust
-C     control.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0 )
-C
-C     .. Scalar Arguments ..
-      INTEGER            INFO, LDA, LDB, LDC, LDD, LDF, LDH, LDWORK,
-     $                   LDX, LDY, M, N, NCON, NMEAS, NP
-      DOUBLE PRECISION   GAMMA
-C     ..
-C     .. Array Arguments ..
-      INTEGER            IWORK( * )
-      DOUBLE PRECISION   A( LDA, * ), B( LDB, * ), C( LDC, * ),
-     $                   D( LDD, * ), DWORK( * ),  F( LDF, * ),
-     $                   H( LDH, * ), X( LDX, * ), XYCOND( 2 ),
-     $                   Y( LDY, * )
-      LOGICAL            BWORK( * )
-C
-C     ..
-C     .. Local Scalars ..
-      INTEGER            INFO2, IW2, IWA, IWG, IWI, IWQ, IWR, IWRK, IWS,
-     $                   IWT, IWV, LWAMAX, M1, M2, MINWRK, N2, ND1, ND2,
-     $                   NN, NP1, NP2
-      DOUBLE PRECISION   ANORM, EPS, FERR, RCOND, SEP
-C     ..
-C     .. External Functions ..
-C
-      DOUBLE PRECISION   DLAMCH, DLANSY
-      EXTERNAL           DLAMCH, DLANSY
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DGEMM, DLACPY, DLASET, DSYCON, DSYMM, DSYRK,
-     $                   DSYTRF, DSYTRI, MB01RU, MB01RX, SB02RD, XERBLA
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          DBLE, INT, MAX
-C     ..
-C     .. Executable Statements ..
-C
-C     Decode and Test input parameters.
-C
-      M1  = M - NCON
-      M2  = NCON
-      NP1 = NP - NMEAS
-      NP2 = NMEAS
-      NN  = N*N
-C
-      INFO = 0
-      IF( N.LT.0 ) THEN
-         INFO = -1
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( NP.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( NCON.LT.0 .OR. M1.LT.0 .OR. M2.GT.NP1 ) THEN
-         INFO = -4
-      ELSE IF( NMEAS.LT.0 .OR. NP1.LT.0 .OR. NP2.GT.M1 ) THEN
-         INFO = -5
-      ELSE IF( GAMMA.LT.ZERO ) THEN
-         INFO = -6
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -8
-      ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
-         INFO = -10
-      ELSE IF( LDC.LT.MAX( 1, NP ) ) THEN
-         INFO = -12
-      ELSE IF( LDD.LT.MAX( 1, NP ) ) THEN
-         INFO = -14
-      ELSE IF( LDF.LT.MAX( 1, M ) ) THEN
-         INFO = -16
-      ELSE IF( LDH.LT.MAX( 1, N ) ) THEN
-         INFO = -18
-      ELSE IF( LDX.LT.MAX( 1, N ) ) THEN
-         INFO = -20
-      ELSE IF( LDY.LT.MAX( 1, N ) ) THEN
-         INFO = -22
-      ELSE
-C
-C        Compute workspace.
-C
-         MINWRK = MAX( 1, M*M + MAX( 2*M1, 3*NN +
-     $                               MAX( N*M, 10*NN + 12*N + 5 ) ),
-     $                  NP*NP + MAX( 2*NP1, 3*NN +
-     $                               MAX( N*NP, 10*NN + 12*N + 5 ) ) )
-         IF( LDWORK.LT.MINWRK )
-     $      INFO = -26
-      END IF
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'SB10QD', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF( N.EQ.0 .OR. M.EQ.0 .OR. NP.EQ.0 .OR. M1.EQ.0 .OR. M2.EQ.0
-     $    .OR. NP1.EQ.0 .OR. NP2.EQ.0 ) THEN
-         XYCOND( 1 ) = ONE
-         XYCOND( 2 ) = ONE
-         DWORK( 1 )  = ONE
-         RETURN
-      END IF
-      ND1 = NP1 - M2
-      ND2 = M1 - NP2
-      N2  = 2*N
-C
-C     Get the machine precision.
-C
-      EPS = DLAMCH( 'Epsilon' )
-C
-C     Workspace usage.
-C
-      IWA = M*M + 1
-      IWQ = IWA + NN
-      IWG = IWQ + NN
-      IW2 = IWG + NN
-C
-C     Compute |D1111'||D1111 D1112| - gamma^2*Im1 .
-C             |D1112'|
-C
-      CALL DLASET( 'L', M1, M1, ZERO, -GAMMA*GAMMA, DWORK, M )
-      IF( ND1.GT.0 )
-     $   CALL DSYRK( 'L', 'T', M1, ND1, ONE, D, LDD, ONE, DWORK, M )
-C
-C     Compute inv(|D1111'|*|D1111 D1112| - gamma^2*Im1) .
-C                 |D1112'|
-C
-      IWRK = IWA
-      ANORM = DLANSY( 'I', 'L', M1, DWORK, M, DWORK( IWRK ) )
-      CALL DSYTRF( 'L', M1, DWORK, M, IWORK, DWORK( IWRK ),
-     $             LDWORK-IWRK+1, INFO2 )
-      IF( INFO2.GT.0 ) THEN
-         INFO = 1
-         RETURN
-      END IF
-C
-      LWAMAX = INT( DWORK( IWRK ) ) + IWRK - 1
-      CALL DSYCON( 'L', M1, DWORK, M, IWORK, ANORM, RCOND,
-     $             DWORK( IWRK ), IWORK( M1+1 ), INFO2 )
-      IF( RCOND.LT.EPS ) THEN
-         INFO = 1
-         RETURN
-      END IF
-C
-C     Compute inv(R) block by block.
-C
-      CALL DSYTRI( 'L', M1, DWORK, M, IWORK, DWORK( IWRK ), INFO2 )
-C
-C     Compute -|D1121 D1122|*inv(|D1111'|*|D1111 D1112| - gamma^2*Im1) .
-C                                |D1112'|
-C
-      CALL DSYMM( 'R', 'L', M2, M1, -ONE, DWORK, M, D( ND1+1, 1 ), LDD,
-     $            ZERO, DWORK( M1+1 ), M )
-C
-C     Compute |D1121 D1122|*inv(|D1111'|*|D1111 D1112| -
-C                               |D1112'|
-C
-C                  gamma^2*Im1)*|D1121'| + Im2 .
-C                               |D1122'|
-C
-      CALL DLASET( 'Lower', M2, M2, ZERO, ONE, DWORK( M1*(M+1)+1 ), M )
-      CALL MB01RX( 'Right', 'Lower', 'Transpose', M2, M1, ONE, -ONE,
-     $             DWORK( M1*(M+1)+1 ), M, D( ND1+1, 1 ), LDD,
-     $             DWORK( M1+1 ), M, INFO2 )
-C
-C     Compute D11'*C1 .
-C
-      CALL DGEMM( 'T', 'N', M1, N, NP1, ONE, D, LDD, C, LDC, ZERO,
-     $            DWORK( IW2 ), M )
-C
-C     Compute D1D'*C1 .
-C
-      CALL DLACPY( 'Full', M2, N, C( ND1+1, 1 ), LDC, DWORK( IW2+M1 ),
-     $             M )
-C
-C     Compute inv(R)*D1D'*C1 in F .
-C
-      CALL DSYMM( 'L', 'L', M, N, ONE, DWORK, M, DWORK( IW2 ), M, ZERO,
-     $            F, LDF )
-C
-C     Compute Ax = A - B*inv(R)*D1D'*C1 .
-C
-      CALL DLACPY( 'Full', N, N, A, LDA, DWORK( IWA ), N )
-      CALL DGEMM( 'N', 'N', N, N, M, -ONE, B, LDB, F, LDF, ONE,
-     $            DWORK( IWA ), N )
-C
-C     Compute Cx = C1'*C1 - C1'*D1D*inv(R)*D1D'*C1 .
-C
-      IF( ND1.EQ.0 ) THEN
-         CALL DLASET( 'L', N, N, ZERO, ZERO, DWORK( IWQ ), N )
-      ELSE
-         CALL DSYRK( 'L', 'T', N, NP1, ONE, C, LDC, ZERO,
-     $               DWORK( IWQ ), N )
-         CALL MB01RX( 'Left', 'Lower', 'Transpose', N, M, ONE, -ONE,
-     $                DWORK( IWQ ), N, DWORK( IW2 ), M, F, LDF, INFO2 )
-      END IF
-C
-C     Compute Dx = B*inv(R)*B' .
-C
-      IWRK = IW2
-      CALL MB01RU( 'Lower', 'NoTranspose', N, M, ZERO, ONE,
-     $             DWORK( IWG ), N, B, LDB, DWORK, M, DWORK( IWRK ),
-     $             M*N, INFO2 )
-C
-C     Solution of the Riccati equation Ax'*X + X*Ax + Cx - X*Dx*X = 0 .
-C     Workspace:  need   M*M + 13*N*N + 12*N + 5;
-C                 prefer larger.
-C
-      IWT  = IW2
-      IWV  = IWT + NN
-      IWR  = IWV + NN
-      IWI  = IWR + N2
-      IWS  = IWI + N2
-      IWRK = IWS + 4*NN
-C
-      CALL SB02RD( 'All', 'Continuous', 'NotUsed', 'NoTranspose',
-     $             'Lower', 'GeneralScaling', 'Stable', 'NotFactored',
-     $             'Original', N, DWORK( IWA ), N, DWORK( IWT ), N,
-     $             DWORK( IWV ), N, DWORK( IWG ), N, DWORK( IWQ ), N,
-     $             X, LDX, SEP, XYCOND( 1 ), FERR, DWORK( IWR ),
-     $             DWORK( IWI ), DWORK( IWS ), N2, IWORK, DWORK( IWRK ),
-     $             LDWORK-IWRK+1, BWORK, INFO2 )
-      IF( INFO2.GT.0 ) THEN
-         INFO = 2
-         RETURN
-      END IF
-C
-      LWAMAX = MAX( INT( DWORK( IWRK ) ) + IWRK - 1, LWAMAX )
-C
-C     Compute F = -inv(R)*|D1D'*C1 + B'*X| .
-C
-      IWRK = IW2
-      CALL DGEMM( 'T', 'N', M, N, N, ONE, B, LDB, X, LDX, ZERO,
-     $            DWORK( IWRK ), M )
-      CALL DSYMM( 'L', 'L', M, N, -ONE, DWORK, M, DWORK( IWRK ), M,
-     $            -ONE, F, LDF )
-C
-C     Workspace usage.
-C
-      IWA = NP*NP + 1
-      IWQ = IWA + NN
-      IWG = IWQ + NN
-      IW2 = IWG + NN
-C
-C     Compute |D1111|*|D1111' D1121'| - gamma^2*Inp1 .
-C             |D1121|
-C
-      CALL DLASET( 'U', NP1, NP1, ZERO, -GAMMA*GAMMA, DWORK, NP )
-      IF( ND2.GT.0 )
-     $   CALL DSYRK( 'U', 'N', NP1, ND2, ONE, D, LDD, ONE, DWORK, NP )
-C
-C     Compute inv(|D1111|*|D1111' D1121'| - gamma^2*Inp1) .
-C                 |D1121|
-C
-      IWRK  = IWA
-      ANORM = DLANSY( 'I', 'U', NP1, DWORK, NP, DWORK( IWRK ) )
-      CALL DSYTRF( 'U', NP1, DWORK, NP, IWORK, DWORK( IWRK ),
-     $             LDWORK-IWRK+1, INFO2 )
-      IF( INFO2.GT.0 ) THEN
-         INFO = 1
-         RETURN
-      END IF
-C
-      LWAMAX = MAX( INT( DWORK( IWRK ) ) + IWRK - 1, LWAMAX )
-      CALL DSYCON( 'U', NP1, DWORK, NP, IWORK, ANORM, RCOND,
-     $             DWORK( IWRK ), IWORK( NP1+1 ), INFO2 )
-      IF( RCOND.LT.EPS ) THEN
-         INFO = 1
-         RETURN
-      END IF
-C
-C     Compute inv(RT) .
-C
-      CALL DSYTRI( 'U', NP1, DWORK, NP, IWORK, DWORK( IWRK ), INFO2 )
-C
-C     Compute -inv(|D1111||D1111' D1121'| - gamma^2*Inp1)*|D1112| .
-C                  |D1121|                                |D1122|
-C
-      CALL DSYMM( 'L', 'U', NP1, NP2, -ONE, DWORK, NP, D( 1, ND2+1 ),
-     $            LDD, ZERO, DWORK( NP1*NP+1 ), NP )
-C
-C     Compute [D1112' D1122']*inv(|D1111||D1111' D1121'| -
-C                                 |D1121|
-C
-C                gamma^2*Inp1)*|D1112| + Inp2 .
-C                              |D1122|
-C
-      CALL DLASET( 'Full', NP2, NP2, ZERO, ONE, DWORK( NP1*(NP+1)+1 ),
-     $             NP )
-      CALL MB01RX( 'Left', 'Upper', 'Transpose', NP2, NP1, ONE, -ONE,
-     $             DWORK( NP1*(NP+1)+1 ), NP, D( 1, ND2+1 ), LDD,
-     $             DWORK( NP1*NP+1 ), NP, INFO2 )
-C
-C     Compute B1*D11' .
-C
-      CALL DGEMM( 'N', 'T', N, NP1, M1, ONE, B, LDB, D, LDD, ZERO,
-     $            DWORK( IW2 ), N )
-C
-C     Compute B1*DD1' .
-C
-      CALL DLACPY( 'Full', N, NP2, B( 1, ND2+1 ), LDB,
-     $             DWORK( IW2+NP1*N ), N )
-C
-C     Compute B1*DD1'*inv(RT) in H .
-C
-      CALL DSYMM( 'R', 'U', N, NP, ONE, DWORK, NP, DWORK( IW2 ), N,
-     $            ZERO, H, LDH )
-C
-C     Compute Ay = A - B1*DD1'*inv(RT)*C .
-C
-      CALL DLACPY( 'Full', N, N, A, LDA, DWORK( IWA ), N )
-      CALL DGEMM( 'N', 'N', N, N, NP, -ONE, H, LDH, C, LDC, ONE,
-     $            DWORK( IWA ), N )
-C
-C     Compute Cy = B1*B1' - B1*DD1'*inv(RT)*DD1*B1' .
-C
-      IF( ND2.EQ.0 ) THEN
-         CALL DLASET( 'U', N, N, ZERO, ZERO, DWORK( IWQ ), N )
-      ELSE
-         CALL DSYRK( 'U', 'N', N, M1, ONE, B, LDB, ZERO, DWORK( IWQ ),
-     $               N )
-         CALL MB01RX( 'Right', 'Upper', 'Transpose', N, NP, ONE, -ONE,
-     $                DWORK( IWQ ), N, H, LDH, DWORK( IW2 ), N, INFO2 )
-      END IF
-C
-C     Compute Dy = C'*inv(RT)*C .
-C
-      IWRK = IW2
-      CALL MB01RU( 'Upper', 'Transpose', N, NP, ZERO, ONE, DWORK( IWG ),
-     $             N, C, LDC, DWORK, NP, DWORK( IWRK), N*NP, INFO2 )
-C
-C     Solution of the Riccati equation Ay*Y + Y*Ay' + Cy - Y*Dy*Y = 0 .
-C     Workspace:  need   NP*NP + 13*N*N + 12*N + 5;
-C                 prefer larger.
-C
-      IWT  = IW2
-      IWV  = IWT + NN
-      IWR  = IWV + NN
-      IWI  = IWR + N2
-      IWS  = IWI + N2
-      IWRK = IWS + 4*NN
-C
-      CALL SB02RD( 'All', 'Continuous', 'NotUsed', 'Transpose',
-     $             'Upper', 'GeneralScaling', 'Stable', 'NotFactored',
-     $             'Original', N, DWORK( IWA ), N, DWORK( IWT ), N,
-     $             DWORK( IWV ), N, DWORK( IWG ), N, DWORK( IWQ ), N,
-     $             Y, LDY, SEP, XYCOND( 2 ), FERR, DWORK( IWR ),
-     $             DWORK( IWI ), DWORK( IWS ), N2, IWORK, DWORK( IWRK ),
-     $             LDWORK-IWRK+1, BWORK, INFO2 )
-      IF( INFO2.GT.0 ) THEN
-         INFO = 3
-         RETURN
-      END IF
-C
-      LWAMAX = MAX( INT( DWORK( IWRK ) ) + IWRK - 1, LWAMAX )
-C
-C     Compute H = -|B1*DD1' + Y*C'|*inv(RT) .
-C
-      IWRK = IW2
-      CALL DGEMM( 'N', 'T', N, NP, N, ONE, Y, LDY, C, LDC, ZERO,
-     $            DWORK( IWRK ), N )
-      CALL DSYMM( 'R', 'U', N, NP, -ONE, DWORK, NP, DWORK( IWRK ), N,
-     $            -ONE, H, LDH )
-C
-      DWORK( 1 ) = DBLE( LWAMAX )
-      RETURN
-C *** Last line of SB10QD ***
-      END
--- a/extra/control-devel/devel/dksyn/SB10RD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,706 +0,0 @@
-      SUBROUTINE SB10RD( N, M, NP, NCON, NMEAS, GAMMA, A, LDA, B, LDB,
-     $                   C, LDC, D, LDD, F, LDF, H, LDH, TU, LDTU, TY,
-     $                   LDTY, X, LDX, Y, LDY, AK, LDAK, BK, LDBK, CK,
-     $                   LDCK, DK, LDDK, IWORK, DWORK, LDWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To compute the matrices of an H-infinity (sub)optimal controller
-C
-C              | AK | BK |
-C          K = |----|----|,
-C              | CK | DK |
-C
-C     from the state feedback matrix F and output injection matrix H as
-C     determined by the SLICOT Library routine SB10QD.
-C
-C     ARGUMENTS
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the system.  N >= 0.
-C
-C     M       (input) INTEGER
-C             The column size of the matrix B.  M >= 0.
-C
-C     NP      (input) INTEGER
-C             The row size of the matrix C.  NP >= 0.
-C
-C     NCON    (input) INTEGER
-C             The number of control inputs (M2).  M >= NCON >= 0.
-C             NP-NMEAS >= NCON.
-C
-C     NMEAS   (input) INTEGER
-C             The number of measurements (NP2).  NP >= NMEAS >= 0.
-C             M-NCON >= NMEAS.
-C
-C     GAMMA   (input) DOUBLE PRECISION
-C             The value of gamma. It is assumed that gamma is
-C             sufficiently large so that the controller is admissible.
-C             GAMMA >= 0.
-C
-C     A       (input) DOUBLE PRECISION array, dimension (LDA,N)
-C             The leading N-by-N part of this array must contain the
-C             system state matrix A.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.  LDA >= max(1,N).
-C
-C     B       (input) DOUBLE PRECISION array, dimension (LDB,M)
-C             The leading N-by-M part of this array must contain the
-C             system input matrix B.
-C
-C     LDB     INTEGER
-C             The leading dimension of the array B.  LDB >= max(1,N).
-C
-C     C       (input) DOUBLE PRECISION array, dimension (LDC,N)
-C             The leading NP-by-N part of this array must contain the
-C             system output matrix C.
-C
-C     LDC     INTEGER
-C             The leading dimension of the array C.  LDC >= max(1,NP).
-C
-C     D       (input) DOUBLE PRECISION array, dimension (LDD,M)
-C             The leading NP-by-M part of this array must contain the
-C             system input/output matrix D.
-C
-C     LDD     INTEGER
-C             The leading dimension of the array D.  LDD >= max(1,NP).
-C
-C     F       (input) DOUBLE PRECISION array, dimension (LDF,N)
-C             The leading M-by-N part of this array must contain the
-C             state feedback matrix F.
-C
-C     LDF     INTEGER
-C             The leading dimension of the array F.  LDF >= max(1,M).
-C
-C     H       (input) DOUBLE PRECISION array, dimension (LDH,NP)
-C             The leading N-by-NP part of this array must contain the
-C             output injection matrix H.
-C
-C     LDH     INTEGER
-C             The leading dimension of the array H.  LDH >= max(1,N).
-C
-C     TU      (input) DOUBLE PRECISION array, dimension (LDTU,M2)
-C             The leading M2-by-M2 part of this array must contain the
-C             control transformation matrix TU, as obtained by the
-C             SLICOT Library routine SB10PD.
-C
-C     LDTU    INTEGER
-C             The leading dimension of the array TU.  LDTU >= max(1,M2).
-C
-C     TY      (input) DOUBLE PRECISION array, dimension (LDTY,NP2)
-C             The leading NP2-by-NP2 part of this array must contain the
-C             measurement transformation matrix TY, as obtained by the
-C             SLICOT Library routine SB10PD.
-C
-C     LDTY    INTEGER
-C             The leading dimension of the array TY.
-C             LDTY >= max(1,NP2).
-C
-C     X       (input) DOUBLE PRECISION array, dimension (LDX,N)
-C             The leading N-by-N part of this array must contain the
-C             matrix X, solution of the X-Riccati equation, as obtained
-C             by the SLICOT Library routine SB10QD.
-C
-C     LDX     INTEGER
-C             The leading dimension of the array X.  LDX >= max(1,N).
-C
-C     Y       (input) DOUBLE PRECISION array, dimension (LDY,N)
-C             The leading N-by-N part of this array must contain the
-C             matrix Y, solution of the Y-Riccati equation, as obtained
-C             by the SLICOT Library routine SB10QD.
-C
-C     LDY     INTEGER
-C             The leading dimension of the array Y.  LDY >= max(1,N).
-C
-C     AK      (output) DOUBLE PRECISION array, dimension (LDAK,N)
-C             The leading N-by-N part of this array contains the
-C             controller state matrix AK.
-C
-C     LDAK    INTEGER
-C             The leading dimension of the array AK.  LDAK >= max(1,N).
-C
-C     BK      (output) DOUBLE PRECISION array, dimension (LDBK,NMEAS)
-C             The leading N-by-NMEAS part of this array contains the
-C             controller input matrix BK.
-C
-C     LDBK    INTEGER
-C             The leading dimension of the array BK.  LDBK >= max(1,N).
-C
-C     CK      (output) DOUBLE PRECISION array, dimension (LDCK,N)
-C             The leading NCON-by-N part of this array contains the
-C             controller output matrix CK.
-C
-C     LDCK    INTEGER
-C             The leading dimension of the array CK.
-C             LDCK >= max(1,NCON).
-C
-C     DK      (output) DOUBLE PRECISION array, dimension (LDDK,NMEAS)
-C             The leading NCON-by-NMEAS part of this array contains the
-C             controller input/output matrix DK.
-C
-C     LDDK    INTEGER
-C             The leading dimension of the array DK.
-C             LDDK >= max(1,NCON).
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension (LIWORK), where
-C             LIWORK = max(2*(max(NP,M)-M2-NP2,M2,N),NP2)
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if INFO = 0, DWORK(1) contains the optimal
-C             LDWORK.
-C
-C     LDWORK  INTEGER
-C             The dimension of the array DWORK.
-C             LDWORK >= max(1, M2*NP2 + NP2*NP2 + M2*M2 +
-C                           max(D1*D1 + max(2*D1, (D1+D2)*NP2),
-C                               D2*D2 + max(2*D2, D2*M2), 3*N,
-C                               N*(2*NP2 + M2) +
-C                               max(2*N*M2, M2*NP2 +
-C                                           max(M2*M2+3*M2, NP2*(2*NP2+
-C                                                  M2+max(NP2,N))))))
-C             where D1 = NP1 - M2, D2 = M1 - NP2,
-C                  NP1 = NP - NP2, M1 = M - M2.
-C             For good performance, LDWORK must generally be larger.
-C             Denoting Q = max(M1,M2,NP1,NP2), an upper bound is
-C             max( 1, Q*(3*Q + 3*N + max(2*N, 4*Q + max(Q, N)))).
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = 1:  if the controller is not admissible (too small value
-C                   of gamma);
-C             = 2:  if the determinant of Im2 + Tu*D11HAT*Ty*D22 is zero.
-C
-C     METHOD
-C
-C     The routine implements the Glover's and Doyle's formulas [1],[2].
-C
-C     REFERENCES
-C
-C     [1] Glover, K. and Doyle, J.C.
-C         State-space formulae for all stabilizing controllers that
-C         satisfy an Hinf norm bound and relations to risk sensitivity.
-C         Systems and Control Letters, vol. 11, pp. 167-172, 1988.
-C
-C     [2] Balas, G.J., Doyle, J.C., Glover, K., Packard, A., and
-C         Smith, R.
-C         mu-Analysis and Synthesis Toolbox.
-C         The MathWorks Inc., Natick, Mass., 1995.
-C
-C     NUMERICAL ASPECTS
-C
-C     The accuracy of the result depends on the condition numbers of the
-C     input and output transformations.
-C
-C     CONTRIBUTORS
-C
-C     P.Hr. Petkov, D.W. Gu and M.M. Konstantinov, October 1998.
-C
-C     REVISIONS
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, May 1999,
-C     Sept. 1999, Oct. 2001.
-C
-C     KEYWORDS
-C
-C     Algebraic Riccati equation, H-infinity optimal control, robust
-C     control.
-C
-C  *********************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0 )
-C     ..
-C     .. Scalar Arguments ..
-      INTEGER            INFO, LDA, LDAK, LDB, LDBK, LDC, LDCK, LDD,
-     $                   LDDK, LDF, LDH, LDTU, LDTY, LDWORK, LDX, LDY,
-     $                   M, N, NCON, NMEAS, NP
-      DOUBLE PRECISION   GAMMA
-C     ..
-C     .. Array Arguments ..
-      INTEGER            IWORK( * )
-      DOUBLE PRECISION   A( LDA, * ), AK( LDAK, * ), B( LDB, * ),
-     $                   BK( LDBK, * ), C( LDC, * ), CK( LDCK, * ),
-     $                   D( LDD, * ), DK( LDDK, * ), DWORK( * ),
-     $                   F( LDF, * ), H( LDH, * ), TU( LDTU, * ),
-     $                   TY( LDTY, * ), X( LDX, * ), Y( LDY, * )
-C     ..
-C     .. Local Scalars ..
-      INTEGER            I, ID11, ID12, ID21, IJ, INFO2, IW1, IW2, IW3,
-     $                   IW4, IWB, IWC, IWRK, J, LWAMAX, M1, M2, MINWRK,
-     $                   ND1, ND2, NP1, NP2
-      DOUBLE PRECISION   ANORM, EPS, RCOND
-C     ..
-C     .. External Functions ..
-      DOUBLE PRECISION   DLAMCH, DLANGE, DLANSY
-      EXTERNAL           DLAMCH, DLANGE, DLANSY
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DGECON, DGEMM, DGETRF, DGETRI, DGETRS, DLACPY,
-     $                   DLASET, DPOTRF, DSYCON, DSYRK, DSYTRF, DSYTRS,
-     $                   DTRMM, MA02AD, MB01RX, XERBLA
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          DBLE, INT, MAX
-C     ..
-C     .. Executable Statements ..
-C
-C     Decode and Test input parameters.
-C
-      M1  = M - NCON
-      M2  = NCON
-      NP1 = NP - NMEAS
-      NP2 = NMEAS
-C
-      INFO = 0
-      IF( N.LT.0 ) THEN
-         INFO = -1
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( NP.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( NCON.LT.0 .OR. M1.LT.0 .OR. M2.GT.NP1 ) THEN
-         INFO = -4
-      ELSE IF( NMEAS.LT.0 .OR. NP1.LT.0 .OR. NP2.GT.M1 ) THEN
-         INFO = -5
-      ELSE IF( GAMMA.LT.ZERO ) THEN
-         INFO = -6
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -8
-      ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
-         INFO = -10
-      ELSE IF( LDC.LT.MAX( 1, NP ) ) THEN
-         INFO = -12
-      ELSE IF( LDD.LT.MAX( 1, NP ) ) THEN
-         INFO = -14
-      ELSE IF( LDF.LT.MAX( 1, M ) ) THEN
-         INFO = -16
-      ELSE IF( LDH.LT.MAX( 1, N ) ) THEN
-         INFO = -18
-      ELSE IF( LDTU.LT.MAX( 1, M2 ) ) THEN
-         INFO = -20
-      ELSE IF( LDTY.LT.MAX( 1, NP2 ) ) THEN
-         INFO = -22
-      ELSE IF( LDX.LT.MAX( 1, N ) ) THEN
-         INFO = -24
-      ELSE IF( LDY.LT.MAX( 1, N ) ) THEN
-         INFO = -26
-      ELSE IF( LDAK.LT.MAX( 1, N ) ) THEN
-         INFO = -28
-      ELSE IF( LDBK.LT.MAX( 1, N ) ) THEN
-         INFO = -30
-      ELSE IF( LDCK.LT.MAX( 1, M2 ) ) THEN
-         INFO = -32
-      ELSE IF( LDDK.LT.MAX( 1, M2 ) ) THEN
-         INFO = -34
-      ELSE
-C
-C        Compute workspace.
-C
-         ND1 = NP1 - M2
-         ND2 = M1 - NP2
-         MINWRK = MAX( 1, M2*NP2 + NP2*NP2 + M2*M2 +
-     $                 MAX( ND1*ND1 + MAX( 2*ND1, ( ND1 + ND2 )*NP2 ),
-     $                      ND2*ND2 + MAX( 2*ND2, ND2*M2 ), 3*N,
-     $                      N*( 2*NP2 + M2 ) +
-     $                         MAX( 2*N*M2, M2*NP2 +
-     $                                MAX( M2*M2 + 3*M2, NP2*( 2*NP2 +
-     $                                     M2 + MAX( NP2, N ) ) ) ) ) )
-         IF( LDWORK.LT.MINWRK )
-     $      INFO = -37
-      END IF
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'SB10RD', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF( N.EQ.0 .OR. M.EQ.0 .OR. NP.EQ.0 .OR. M1.EQ.0 .OR. M2.EQ.0
-     $    .OR. NP1.EQ.0 .OR. NP2.EQ.0 ) THEN
-         DWORK( 1 ) = ONE
-         RETURN
-      END IF
-C
-C     Get the machine precision.
-C
-      EPS = DLAMCH( 'Epsilon' )
-C
-C     Workspace usage.
-C
-      ID11 = 1
-      ID21 = ID11 + M2*NP2
-      ID12 = ID21 + NP2*NP2
-      IW1  = ID12 + M2*M2
-      IW2  = IW1  + ND1*ND1
-      IW3  = IW2  + ND1*NP2
-      IWRK = IW2
-C
-C     Set D11HAT := -D1122 .
-C
-      IJ = ID11
-      DO 20 J = 1, NP2
-         DO 10 I = 1, M2
-            DWORK( IJ ) = -D( ND1+I, ND2+J )
-            IJ = IJ + 1
-   10    CONTINUE
-   20 CONTINUE
-C
-C     Set D21HAT := Inp2 .
-C
-      CALL DLASET( 'Upper', NP2, NP2, ZERO, ONE, DWORK( ID21 ), NP2 )
-C
-C     Set D12HAT := Im2 .
-C
-      CALL DLASET( 'Lower', M2, M2, ZERO, ONE, DWORK( ID12 ), M2 )
-C
-C     Compute D11HAT, D21HAT, D12HAT .
-C
-      LWAMAX = 0
-      IF( ND1.GT.0 ) THEN
-         IF( ND2.EQ.0 ) THEN
-C
-C           Compute D21HAT'*D21HAT = Inp2 - D1112'*D1112/gamma^2 .
-C
-            CALL DSYRK( 'U', 'T', NP2, ND1, -ONE/GAMMA**2, D, LDD, ONE,
-     $                  DWORK( ID21 ), NP2 )
-         ELSE
-C
-C           Compute gdum = gamma^2*Ind1 - D1111*D1111' .
-C
-            CALL DLASET( 'U', ND1, ND1, ZERO, GAMMA**2, DWORK( IW1 ),
-     $                   ND1 )
-            CALL DSYRK( 'U', 'N', ND1, ND2, -ONE, D, LDD, ONE,
-     $                  DWORK( IW1 ), ND1 )
-            ANORM = DLANSY( 'I', 'U', ND1, DWORK( IW1 ), ND1,
-     $                      DWORK( IWRK ) )
-            CALL DSYTRF( 'U', ND1, DWORK( IW1 ), ND1, IWORK,
-     $                   DWORK( IWRK ), LDWORK-IWRK+1, INFO2 )
-            IF( INFO2.GT.0 ) THEN
-               INFO = 1
-               RETURN
-            END IF
-            LWAMAX = INT( DWORK( IWRK ) ) + IWRK - 1
-            CALL DSYCON( 'U', ND1, DWORK( IW1 ), ND1, IWORK, ANORM,
-     $                   RCOND, DWORK( IWRK ), IWORK( ND1+1 ), INFO2 )
-C
-C           Return if the matrix is singular to working precision.
-C
-            IF( RCOND.LT.EPS ) THEN
-               INFO = 1
-               RETURN
-            END IF
-C
-C           Compute inv(gdum)*D1112 .
-C
-            CALL DLACPY( 'Full', ND1, NP2, D( 1, ND2+1 ), LDD,
-     $                   DWORK( IW2 ), ND1 )
-            CALL DSYTRS( 'U', ND1, NP2, DWORK( IW1 ), ND1, IWORK,
-     $                   DWORK( IW2 ), ND1, INFO2 )
-C
-C           Compute D11HAT = -D1121*D1111'*inv(gdum)*D1112 - D1122 .
-C
-            CALL DGEMM( 'T', 'N', ND2, NP2, ND1, ONE, D, LDD,
-     $                  DWORK( IW2 ), ND1, ZERO, DWORK( IW3 ), ND2 )
-            CALL DGEMM( 'N', 'N', M2, NP2, ND2, -ONE, D( ND1+1, 1 ),
-     $                  LDD, DWORK( IW3 ), ND2, ONE, DWORK( ID11 ), M2 )
-C
-C           Compute D21HAT'*D21HAT = Inp2 - D1112'*inv(gdum)*D1112 .
-C
-            CALL MB01RX( 'Left', 'Upper', 'Transpose', NP2, ND1, ONE,
-     $                   -ONE, DWORK( ID21 ), NP2, D( 1, ND2+1 ), LDD,
-     $                   DWORK( IW2 ), ND1, INFO2 )
-C
-            IW2  = IW1 + ND2*ND2
-            IWRK = IW2
-C
-C           Compute gdum = gamma^2*Ind2 - D1111'*D1111 .
-C
-            CALL DLASET( 'L', ND2, ND2, ZERO, GAMMA**2, DWORK( IW1 ),
-     $                   ND2 )
-            CALL DSYRK( 'L', 'T', ND2, ND1, -ONE, D, LDD, ONE,
-     $                  DWORK( IW1 ), ND2 )
-            ANORM = DLANSY( 'I', 'L', ND2, DWORK( IW1 ), ND2,
-     $                      DWORK( IWRK ) )
-            CALL DSYTRF( 'L', ND2, DWORK( IW1 ), ND2, IWORK,
-     $                   DWORK( IWRK ), LDWORK-IWRK+1, INFO2 )
-            IF( INFO2.GT.0 ) THEN
-               INFO = 1
-               RETURN
-            END IF
-            LWAMAX = MAX( INT( DWORK( IWRK ) ) + IWRK - 1, LWAMAX )
-            CALL DSYCON( 'L', ND2, DWORK( IW1 ), ND2, IWORK, ANORM,
-     $                   RCOND, DWORK( IWRK ), IWORK( ND2+1 ), INFO2 )
-C
-C           Return if the matrix is singular to working precision.
-C
-            IF( RCOND.LT.EPS ) THEN
-               INFO = 1
-               RETURN
-            END IF
-C
-C           Compute inv(gdum)*D1121' .
-C
-            CALL MA02AD( 'Full', M2, ND2, D( ND1+1, 1 ), LDD,
-     $                   DWORK( IW2 ), ND2 )
-            CALL DSYTRS( 'L', ND2, M2, DWORK( IW1 ), ND2, IWORK,
-     $                   DWORK( IW2 ), ND2, INFO2 )
-C
-C           Compute D12HAT*D12HAT' = Im2 - D1121*inv(gdum)*D1121' .
-C
-            CALL MB01RX( 'Left', 'Lower', 'NoTranspose', M2, ND2, ONE,
-     $                   -ONE, DWORK( ID12 ), M2, D( ND1+1, 1 ), LDD,
-     $                   DWORK( IW2 ), ND2, INFO2 )
-         END IF
-      ELSE
-         IF( ND2.GT.0 ) THEN
-C
-C           Compute D12HAT*D12HAT' = Im2 - D1121*D1121'/gamma^2 .
-C
-            CALL DSYRK( 'L', 'N', M2, ND2, -ONE/GAMMA**2, D, LDD, ONE,
-     $                  DWORK( ID12 ), M2 )
-         END IF
-      END IF
-C
-C     Compute D21HAT using Cholesky decomposition.
-C
-      CALL DPOTRF( 'U', NP2, DWORK( ID21 ), NP2, INFO2 )
-      IF( INFO2.GT.0 ) THEN
-         INFO = 1
-         RETURN
-      END IF
-C
-C     Compute D12HAT using Cholesky decomposition.
-C
-      CALL DPOTRF( 'L', M2, DWORK( ID12 ), M2, INFO2 )
-      IF( INFO2.GT.0 ) THEN
-         INFO = 1
-         RETURN
-      END IF
-C             _
-C     Compute Z = In - Y*X/gamma^2 and its LU factorization in AK .
-C
-      IWRK = IW1
-      CALL DLASET( 'Full', N, N, ZERO, ONE, AK, LDAK )
-      CALL DGEMM( 'N', 'N', N, N, N, -ONE/GAMMA**2, Y, LDY, X, LDX,
-     $            ONE, AK, LDAK )
-      ANORM = DLANGE( '1', N, N, AK, LDAK, DWORK( IWRK ) )
-      CALL DGETRF( N, N, AK, LDAK, IWORK, INFO2 )
-      IF( INFO2.GT.0 ) THEN
-         INFO = 1
-         RETURN
-      END IF
-      CALL DGECON( '1', N, AK, LDAK, ANORM, RCOND, DWORK( IWRK ),
-     $             IWORK( N+1 ), INFO )
-C
-C     Return if the matrix is singular to working precision.
-C
-      IF( RCOND.LT.EPS ) THEN
-         INFO = 1
-         RETURN
-      END IF
-C
-      IWB = IW1
-      IWC = IWB + N*NP2
-      IW1 = IWC + ( M2 + NP2 )*N
-      IW2 = IW1 + N*M2
-C
-C     Compute C2' + F12' in BK .
-C
-      DO 40 J = 1, N
-         DO 30 I = 1, NP2
-            BK( J, I ) = C( NP1 + I, J ) + F( ND2 + I, J )
-   30    CONTINUE
-   40 CONTINUE
-C                                                          _
-C     Compute the transpose of (C2 + F12)*Z , with Z = inv(Z) .
-C
-      CALL DGETRS( 'Transpose', N, NP2, AK, LDAK, IWORK, BK, LDBK,
-     $             INFO2 )
-C
-C     Compute the transpose of F2*Z .
-C
-      CALL MA02AD( 'Full', M2, N, F( M1+1, 1 ), LDF, DWORK( IW1 ), N )
-      CALL DGETRS( 'Transpose', N, M2, AK, LDAK, IWORK, DWORK( IW1 ), N,
-     $             INFO2 )
-C
-C     Compute the transpose of C1HAT = F2*Z - D11HAT*(C2 + F12)*Z .
-C
-      CALL DGEMM( 'N', 'T', N, M2, NP2, -ONE, BK, LDBK, DWORK( ID11 ),
-     $            M2, ONE, DWORK( IW1 ), N )
-C
-C     Compute CHAT .
-C
-      CALL DGEMM( 'N', 'T', M2, N, M2, ONE, TU, LDTU, DWORK( IW1 ), N,
-     $            ZERO, DWORK( IWC ), M2+NP2 )
-      CALL MA02AD( 'Full', N, NP2, BK, LDBK, DWORK( IWC+M2 ), M2+NP2 )
-      CALL DTRMM( 'L', 'U', 'N', 'N', NP2, N, -ONE, DWORK( ID21 ), NP2,
-     $            DWORK( IWC+M2 ), M2+NP2 )
-C
-C     Compute B2 + H12 .
-C
-      IJ = IW2
-      DO 60 J = 1, M2
-         DO 50 I = 1, N
-            DWORK( IJ ) = B( I, M1 + J ) + H( I, ND1 + J )
-            IJ = IJ + 1
-   50    CONTINUE
-   60 CONTINUE
-C
-C     Compute A + HC in AK .
-C
-      CALL DLACPY( 'Full', N, N, A, LDA, AK, LDAK )
-      CALL DGEMM( 'N', 'N', N, N, NP, ONE, H, LDH, C, LDC, ONE, AK,
-     $            LDAK )
-C
-C     Compute AHAT = A + HC + (B2 + H12)*C1HAT in AK .
-C
-      CALL DGEMM( 'N', 'T', N, N, M2, ONE, DWORK( IW2 ), N,
-     $            DWORK( IW1 ), N, ONE, AK, LDAK )
-C
-C     Compute B1HAT = -H2 + (B2 + H12)*D11HAT in BK .
-C
-      CALL DLACPY( 'Full', N, NP2, H( 1, NP1+1 ), LDH, BK, LDBK )
-      CALL DGEMM( 'N', 'N', N, NP2, M2, ONE, DWORK( IW2 ), N,
-     $            DWORK( ID11 ), M2, -ONE, BK, LDBK )
-C
-C     Compute the first block of BHAT, BHAT1 .
-C
-      CALL DGEMM( 'N', 'N', N, NP2, NP2, ONE, BK, LDBK, TY, LDTY, ZERO,
-     $            DWORK( IWB ), N )
-C
-C     Compute Tu*D11HAT .
-C
-      CALL DGEMM( 'N', 'N', M2, NP2, M2, ONE, TU, LDTU, DWORK( ID11 ),
-     $            M2, ZERO, DWORK( IW1 ), M2 )
-C
-C     Compute Tu*D11HAT*Ty in DK .
-C
-      CALL DGEMM( 'N', 'N', M2, NP2, NP2, ONE, DWORK( IW1 ), M2, TY,
-     $            LDTY, ZERO, DK, LDDK )
-C
-C     Compute P = Im2 + Tu*D11HAT*Ty*D22 and its condition.
-C
-      IW2  = IW1 + M2*NP2
-      IWRK = IW2 + M2*M2
-      CALL DLASET( 'Full', M2, M2, ZERO, ONE, DWORK( IW2 ), M2 )
-      CALL DGEMM( 'N', 'N', M2, M2, NP2, ONE, DK, LDDK,
-     $            D( NP1+1, M1+1 ), LDD, ONE, DWORK( IW2 ), M2 )
-      ANORM = DLANGE( '1', M2, M2, DWORK( IW2 ), M2, DWORK( IWRK ) )
-      CALL DGETRF( M2, M2, DWORK( IW2 ), M2, IWORK, INFO2 )
-      IF( INFO2.GT.0 ) THEN
-         INFO = 2
-         RETURN
-      END IF
-      CALL DGECON( '1', M2, DWORK( IW2 ), M2, ANORM, RCOND,
-     $             DWORK( IWRK ), IWORK( M2+1 ), INFO2 )
-C
-C     Return if the matrix is singular to working precision.
-C
-      IF( RCOND.LT.EPS ) THEN
-         INFO = 2
-         RETURN
-      END IF
-C
-C     Find the controller matrix CK, CK = inv(P)*CHAT(1:M2,:) .
-C
-      CALL DLACPY( 'Full', M2, N, DWORK( IWC ), M2+NP2, CK, LDCK )
-      CALL DGETRS( 'NoTranspose', M2, N, DWORK( IW2 ), M2, IWORK, CK,
-     $             LDCK, INFO2 )
-C
-C     Find the controller matrices AK, BK, and DK, exploiting the
-C     special structure of the relations.
-C
-C     Compute Q = Inp2 + D22*Tu*D11HAT*Ty and its LU factorization.
-C
-      IW3  = IW2 + NP2*NP2
-      IW4  = IW3 + NP2*M2
-      IWRK = IW4 + NP2*NP2
-      CALL DLASET( 'Full', NP2, NP2, ZERO, ONE, DWORK( IW2 ), NP2 )
-      CALL DGEMM( 'N', 'N', NP2, NP2, M2, ONE, D( NP1+1, M1+1 ), LDD,
-     $            DK, LDDK, ONE, DWORK( IW2 ), NP2 )
-      CALL DGETRF( NP2, NP2, DWORK( IW2 ), NP2, IWORK, INFO2 )
-      IF( INFO2.GT.0 ) THEN
-         INFO = 2
-         RETURN
-      END IF
-C
-C     Compute A1 = inv(Q)*D22 and inv(Q) .
-C
-      CALL DLACPY( 'Full', NP2, M2, D( NP1+1, M1+1 ), LDD, DWORK( IW3 ),
-     $             NP2 )
-      CALL DGETRS( 'NoTranspose', NP2, M2, DWORK( IW2 ), NP2, IWORK,
-     $             DWORK( IW3 ), NP2, INFO2 )
-      CALL DGETRI( NP2, DWORK( IW2 ), NP2, IWORK, DWORK( IWRK ),
-     $             LDWORK-IWRK+1, INFO2 )
-      LWAMAX = MAX( INT( DWORK( IWRK ) ) + IWRK - 1, LWAMAX )
-C
-C     Compute A2 = ( inv(Ty) - inv(Q)*inv(Ty) -
-C                    A1*Tu*D11HAT )*inv(D21HAT) .
-C
-      CALL DLACPY( 'Full', NP2, NP2, TY, LDTY, DWORK( IW4 ), NP2 )
-      CALL DGETRF( NP2, NP2, DWORK( IW4 ), NP2, IWORK, INFO2 )
-      CALL DGETRI( NP2, DWORK( IW4 ), NP2, IWORK, DWORK( IWRK ),
-     $             LDWORK-IWRK+1, INFO2 )
-C
-      CALL DLACPY( 'Full', NP2, NP2, DWORK( IW4 ), NP2, DWORK( IWRK ),
-     $             NP2 )
-      CALL DGEMM( 'N', 'N', NP2, NP2, NP2, -ONE, DWORK( IW2), NP2,
-     $            DWORK( IWRK ), NP2, ONE, DWORK( IW4 ), NP2 )
-      CALL DGEMM( 'N', 'N', NP2, NP2, M2, -ONE, DWORK( IW3), NP2,
-     $            DWORK( IW1 ), M2, ONE, DWORK( IW4 ), NP2 )
-      CALL DTRMM( 'R', 'U', 'N', 'N', NP2, NP2, ONE, DWORK( ID21 ), NP2,
-     $            DWORK( IW4 ), NP2 )
-C
-C     Compute [ A1  A2 ]*CHAT .
-C
-      CALL DGEMM( 'N', 'N', NP2, N, M2+NP2, ONE, DWORK( IW3 ), NP2,
-     $            DWORK( IWC ), M2+NP2, ZERO, DWORK( IWRK ), NP2 )
-C
-C     Compute AK := AHAT - BHAT1*[ A1  A2 ]*CHAT .
-C
-      CALL DGEMM( 'N', 'N', N, N, NP2, -ONE, DWORK( IWB ), N,
-     $            DWORK( IWRK ), NP2, ONE, AK, LDAK )
-C
-C     Compute BK := BHAT1*inv(Q) .
-C
-      CALL DGEMM( 'N', 'N', N, NP2, NP2, ONE, DWORK( IWB ), N,
-     $            DWORK( IW2 ), NP2, ZERO, BK, LDBK )
-C
-C     Compute DK := Tu*D11HAT*Ty*inv(Q) .
-C
-      CALL DGEMM( 'N', 'N', M2, NP2, NP2, ONE, DK, LDDK, DWORK( IW2 ),
-     $            NP2, ZERO, DWORK( IW3 ), M2 )
-      CALL DLACPY( 'Full', M2, NP2, DWORK( IW3 ), M2, DK, LDDK )
-C
-      DWORK( 1 ) = DBLE( LWAMAX )
-      RETURN
-C *** Last line of SB10RD ***
-      END
--- a/extra/control-devel/devel/dksyn/SB10YD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,689 +0,0 @@
-      SUBROUTINE SB10YD( DISCFL, FLAG, LENDAT, RFRDAT, IFRDAT, OMEGA, N,
-     $                   A, LDA, B, C, D, TOL, IWORK, DWORK, LDWORK,
-     $                   ZWORK, LZWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To fit a supplied frequency response data with a stable, minimum
-C     phase SISO (single-input single-output) system represented by its
-C     matrices A, B, C, D. It handles both discrete- and continuous-time
-C     cases.
-C
-C     ARGUMENTS
-C
-C     Input/Output parameters
-C
-C     DISCFL  (input) INTEGER
-C             Indicates the type of the system, as follows:
-C             = 0: continuous-time system;
-C             = 1: discrete-time system.
-C
-C     FLAG    (input) INTEGER
-C             If FLAG = 0, then the system zeros and poles are not
-C             constrained.
-C             If FLAG = 1, then the system zeros and poles will have
-C             negative real parts in the continuous-time case, or moduli
-C             less than 1 in the discrete-time case. Consequently, FLAG
-C             must be equal to 1 in mu-synthesis routines.
-C
-C     LENDAT  (input) INTEGER
-C             The length of the vectors RFRDAT, IFRDAT and OMEGA.
-C             LENDAT >= 2.
-C
-C     RFRDAT  (input) DOUBLE PRECISION array, dimension (LENDAT)
-C             The real part of the frequency data to be fitted.
-C
-C     IFRDAT  (input) DOUBLE PRECISION array, dimension (LENDAT)
-C             The imaginary part of the frequency data to be fitted.
-C
-C     OMEGA   (input) DOUBLE PRECISION array, dimension (LENDAT)
-C             The frequencies corresponding to RFRDAT and IFRDAT.
-C             These values must be nonnegative and monotonically
-C             increasing. Additionally, for discrete-time systems
-C             they must be between 0 and PI.
-C
-C     N       (input/output) INTEGER
-C             On entry, the desired order of the system to be fitted.
-C             N <= LENDAT-1.
-C             On exit, the order of the obtained system. The value of N
-C             could only be modified if N > 0 and FLAG = 1.
-C
-C     A       (output) DOUBLE PRECISION array, dimension (LDA,N)
-C             The leading N-by-N part of this array contains the
-C             matrix A. If FLAG = 1, then A is in an upper Hessenberg
-C             form, and corresponds to a minimal realization.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.  LDA >= MAX(1,N).
-C
-C     B       (output) DOUBLE PRECISION array, dimension (N)
-C             The computed vector B.
-C
-C     C       (output) DOUBLE PRECISION array, dimension (N)
-C             The computed vector C. If FLAG = 1, the first N-1 elements
-C             are zero (for the exit value of N).
-C
-C     D       (output) DOUBLE PRECISION array, dimension (1)
-C             The computed scalar D.
-C
-C     Tolerances
-C
-C     TOL     DOUBLE PRECISION
-C             The tolerance to be used for determining the effective
-C             rank of matrices. If the user sets TOL > 0, then the given
-C             value of TOL is used as a lower bound for the reciprocal
-C             condition number;  a (sub)matrix whose estimated condition
-C             number is less than 1/TOL is considered to be of full
-C             rank.  If the user sets TOL <= 0, then an implicitly
-C             computed, default tolerance, defined by TOLDEF = SIZE*EPS,
-C             is used instead, where SIZE is the product of the matrix
-C             dimensions, and EPS is the machine precision (see LAPACK
-C             Library routine DLAMCH).
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension max(2,2*N+1)
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if INFO = 0, DWORK(1) returns the optimal value
-C             of LDWORK and DWORK(2) contains the optimal value of
-C             LZWORK.
-C
-C     LDWORK  INTEGER
-C             The length of the array DWORK.
-C             LDWORK = max( 2, LW1, LW2, LW3, LW4 ), where
-C             LW1 = 2*LENDAT + 4*HNPTS;  HNPTS = 2048;
-C             LW2 =   LENDAT + 6*HNPTS;
-C             MN  = min( 2*LENDAT, 2*N+1 )
-C             LW3 = 2*LENDAT*(2*N+1) + max( 2*LENDAT, 2*N+1 ) +
-C                   max( MN + 6*N + 4, 2*MN + 1 ), if N > 0;
-C             LW3 = 4*LENDAT + 5                 , if N = 0;
-C             LW4 = max( N*N + 5*N, 6*N + 1 + min( 1,N ) ), if FLAG = 1;
-C             LW4 = 0,                                      if FLAG = 0.
-C             For optimum performance LDWORK should be larger.
-C
-C     ZWORK   COMPLEX*16 array, dimension (LZWORK)
-C
-C     LZWORK  INTEGER
-C             The length of the array ZWORK.
-C             LZWORK = LENDAT*(2*N+3), if N > 0;
-C             LZWORK = LENDAT,         if N = 0.
-C
-C     Error indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = 1:  if the discrete --> continuous transformation cannot
-C                   be made;
-C             = 2:  if the system poles cannot be found;
-C             = 3:  if the inverse system cannot be found, i.e., D is
-C                   (close to) zero;
-C             = 4:  if the system zeros cannot be found;
-C             = 5:  if the state-space representation of the new
-C                   transfer function T(s) cannot be found;
-C             = 6:  if the continuous --> discrete transformation cannot
-C                   be made.
-C
-C     METHOD
-C
-C     First, if the given frequency data are corresponding to a
-C     continuous-time system, they are changed to a discrete-time
-C     system using a bilinear transformation with a scaled alpha.
-C     Then, the magnitude is obtained from the supplied data.
-C     Then, the frequency data are linearly interpolated around
-C     the unit-disc.
-C     Then, Oppenheim and Schafer complex cepstrum method is applied
-C     to get frequency data corresponding to a stable, minimum-
-C     phase system. This is done in the following steps:
-C     - Obtain LOG (magnitude)
-C     - Obtain IFFT of the result (DG01MD SLICOT subroutine);
-C     - halve the data at 0;
-C     - Obtain FFT of the halved data (DG01MD SLICOT subroutine);
-C     - Obtain EXP of the result.
-C     Then, the new frequency data are interpolated back to the
-C     original frequency.
-C     Then, based on these newly obtained data, the system matrices
-C     A, B, C, D are constructed; the very identification is
-C     performed by Least Squares Method using DGELSY LAPACK subroutine.
-C     If needed, a discrete-to-continuous time transformation is
-C     applied on the system matrices by AB04MD SLICOT subroutine.
-C     Finally, if requested, the poles and zeros of the system are
-C     checked. If some of them have positive real parts in the
-C     continuous-time case (or are not inside the unit disk in the
-C     complex plane in the discrete-time case), they are exchanged with
-C     their negatives (or reciprocals, respectively), to preserve the
-C     frequency response, while getting a minimum phase and stable
-C     system. This is done by SB10ZP SLICOT subroutine.
-C
-C     REFERENCES
-C
-C     [1] Oppenheim, A.V. and Schafer, R.W.
-C         Discrete-Time Signal Processing.
-C         Prentice-Hall Signal Processing Series, 1989.
-C
-C     [2] Balas, G., Doyle, J., Glover, K., Packard, A., and Smith, R.
-C         Mu-analysis and Synthesis toolbox - User's Guide,
-C         The Mathworks Inc., Natick, MA, USA, 1998.
-C
-C     CONTRIBUTORS
-C
-C     Asparuh Markovski, Technical University of Sofia, July 2003.
-C
-C     REVISIONS
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Aug. 2003.
-C     A. Markovski, Technical University of Sofia, October 2003.
-C
-C     KEYWORDS
-C
-C     Bilinear transformation, frequency response, least-squares
-C     approximation, stability.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      COMPLEX*16         ZZERO, ZONE
-      PARAMETER          ( ZZERO = ( 0.0D+0, 0.0D+0 ),
-     $                     ZONE  = ( 1.0D+0, 0.0D+0 ) )
-      DOUBLE PRECISION   ZERO, ONE, TWO, FOUR, TEN
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0, TWO = 2.0D+0,
-     $                     FOUR = 4.0D+0, TEN = 1.0D+1 )
-      INTEGER            HNPTS
-      PARAMETER          ( HNPTS = 2048 )
-C     ..
-C     .. Scalar Arguments ..
-      INTEGER            DISCFL, FLAG, INFO, LDA, LDWORK, LENDAT,
-     $                   LZWORK, N
-      DOUBLE PRECISION   TOL
-C     ..
-C     .. Array Arguments ..
-      INTEGER            IWORK(*)
-      DOUBLE PRECISION   A(LDA, *), B(*), C(*), D(*), DWORK(*),
-     $                   IFRDAT(*), OMEGA(*), RFRDAT(*)
-      COMPLEX*16         ZWORK(*)
-C     ..
-C     .. Local Scalars ..
-      INTEGER            CLWMAX, DLWMAX, I, II, INFO2, IP1, IP2, ISTART,
-     $                   ISTOP, IWA0, IWAB, IWBMAT, IWBP, IWBX, IWDME,
-     $                   IWDOMO, IWMAG, IWS, IWVAR, IWXI, IWXR, IWYMAG,
-     $                   K, LW1, LW2, LW3, LW4, MN, N1, N2, P, RANK
-      DOUBLE PRECISION   P1, P2, PI, PW, RAT, TOLB, TOLL
-      COMPLEX*16         XHAT(HNPTS/2)
-C     ..
-C     .. External Functions ..
-      DOUBLE PRECISION   DLAMCH, DLAPY2
-      EXTERNAL           DLAMCH, DLAPY2
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           AB04MD, DCOPY, DG01MD, DGELSY, DLASET, DSCAL,
-     $                   SB10ZP, XERBLA
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          ACOS, ATAN, COS, DBLE, DCMPLX, DIMAG, EXP, LOG,
-     $                   MAX, MIN, SIN, SQRT
-C
-C     Test input parameters and workspace.
-C
-      PI = FOUR*ATAN( ONE )
-      PW = OMEGA(1)
-      N1 = N + 1
-      N2 = N + N1
-C
-      INFO = 0
-      IF( DISCFL.NE.0 .AND. DISCFL.NE.1 ) THEN
-         INFO = -1
-      ELSE IF( FLAG.NE.0 .AND. FLAG.NE.1 ) THEN
-         INFO = -2
-      ELSE IF ( LENDAT.LT.2 ) THEN
-         INFO = -3
-      ELSE IF ( PW.LT.ZERO ) THEN
-         INFO = -6
-      ELSE IF( N.GT.LENDAT - 1 ) THEN
-         INFO = -7
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -9
-      ELSE
-C
-         DO 10 K = 2, LENDAT
-            IF ( OMEGA(K).LT.PW )
-     $         INFO = -6
-            PW = OMEGA(K)
-   10    CONTINUE
-C
-         IF ( DISCFL.EQ.1 .AND. OMEGA(LENDAT).GT.PI )
-     $      INFO = -6
-      END IF
-C
-      IF ( INFO.EQ.0 ) THEN
-C
-C        Workspace.
-C
-         LW1 = 2*LENDAT + 4*HNPTS
-         LW2 =   LENDAT + 6*HNPTS
-         MN  = MIN( 2*LENDAT, N2 )
-C
-         IF ( N.GT.0 ) THEN
-            LW3 = 2*LENDAT*N2 + MAX( 2*LENDAT, N2 ) +
-     $                          MAX( MN + 6*N + 4, 2*MN + 1 )
-         ELSE
-            LW3 = 4*LENDAT + 5
-         END IF
-C
-         IF ( FLAG.EQ.0 ) THEN
-            LW4 = 0
-         ELSE
-            LW4 = MAX( N*N + 5*N, 6*N + 1 + MIN ( 1, N ) )
-         END IF
-C
-         DLWMAX = MAX( 2, LW1, LW2, LW3, LW4 )
-C
-         IF ( N.GT.0 ) THEN
-            CLWMAX = LENDAT*( N2 + 2 )
-         ELSE
-            CLWMAX = LENDAT
-         END IF
-C
-         IF ( LDWORK.LT.DLWMAX ) THEN
-            INFO = -16
-         ELSE IF ( LZWORK.LT.CLWMAX ) THEN
-            INFO = -18
-         END IF
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'SB10YD', -INFO )
-         RETURN
-      END IF
-C
-C     Set tolerances.
-C
-      TOLB = DLAMCH( 'Epsilon' )
-      TOLL = TOL
-      IF ( TOLL.LE.ZERO )
-     $   TOLL = FOUR*DBLE( LENDAT*N )*TOLB
-C
-C     @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
-C
-C     Workspace usage 1.
-C     Workspace:  need  2*LENDAT + 4*HNPTS.
-C
-      IWDOMO = 1
-      IWDME  = IWDOMO + LENDAT
-      IWYMAG = IWDME  + 2*HNPTS
-      IWMAG  = IWYMAG + 2*HNPTS
-C
-C     Bilinear transformation.
-C
-      IF ( DISCFL.EQ.0 ) THEN
-         PW = SQRT( OMEGA(1)*OMEGA(LENDAT) + SQRT( TOLB ) )
-C
-         DO 20 K = 1, LENDAT
-            DWORK(IWDME+K-1)  = ( OMEGA(K)/PW )**2
-            DWORK(IWDOMO+K-1) =
-     $         ACOS( ( ONE - DWORK(IWDME+K-1) )/
-     $               ( ONE + DWORK(IWDME+K-1) ) )
-   20    CONTINUE
-C
-      ELSE
-         CALL DCOPY( LENDAT, OMEGA, 1, DWORK(IWDOMO), 1 )
-      END IF
-C
-C     Linear interpolation.
-C
-      DO 30 K = 1, LENDAT
-         DWORK(IWMAG+K-1) = DLAPY2( RFRDAT(K), IFRDAT(K) )
-         DWORK(IWMAG+K-1) = ( ONE/LOG( TEN ) ) * LOG( DWORK(IWMAG+K-1) )
-   30 CONTINUE
-C
-      DO 40 K = 1, HNPTS
-         DWORK(IWDME+K-1)  = ( K - 1 )*PI/HNPTS
-         DWORK(IWYMAG+K-1) = ZERO
-C
-         IF ( DWORK(IWDME+K-1).LT.DWORK(IWDOMO) ) THEN
-            DWORK(IWYMAG+K-1) = DWORK(IWMAG)
-         ELSE IF ( DWORK(IWDME+K-1).GE.DWORK(IWDOMO+LENDAT-1) ) THEN
-            DWORK(IWYMAG+K-1) = DWORK(IWMAG+LENDAT-1)
-         END IF
-C
-   40 CONTINUE
-C
-      DO 60 I = 2, LENDAT
-         P1 = HNPTS*DWORK(IWDOMO+I-2)/PI + ONE
-C
-         IP1 = INT( P1 )
-         IF ( DBLE( IP1 ).NE.P1 )
-     $      IP1 = IP1 + 1
-C
-         P2 = HNPTS*DWORK(IWDOMO+I-1)/PI + ONE
-C
-         IP2 = INT( P2 )
-         IF ( DBLE( IP2 ).NE.P2 )
-     $      IP2 = IP2 + 1
-C
-         DO 50 P = IP1, IP2 - 1
-            RAT = DWORK(IWDME+P-1) - DWORK(IWDOMO+I-2)
-            RAT = RAT/( DWORK(IWDOMO+I-1) - DWORK(IWDOMO+I-2) )
-            DWORK(IWYMAG+P-1) = ( ONE - RAT )*DWORK(IWMAG+I-2) +
-     $                          RAT*DWORK(IWMAG+I-1)
-   50    CONTINUE
-C
-   60 CONTINUE
-C
-      DO 70 K = 1, HNPTS
-         DWORK(IWYMAG+K-1) = EXP( LOG( TEN )*DWORK(IWYMAG+K-1) )
-   70 CONTINUE
-C
-C     Duplicate data around disc.
-C
-      DO 80 K = 1, HNPTS
-         DWORK(IWDME+HNPTS+K-1)  = TWO*PI - DWORK(IWDME+HNPTS-K)
-         DWORK(IWYMAG+HNPTS+K-1) = DWORK(IWYMAG+HNPTS-K)
-   80 CONTINUE
-C
-C     Complex cepstrum to get min phase:
-C     LOG (Magnitude)
-C
-      DO 90 K = 1, 2*HNPTS
-         DWORK(IWYMAG+K-1) = TWO*LOG( DWORK(IWYMAG+K-1) )
-   90 CONTINUE
-C
-C     @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
-C
-C     Workspace usage 2.
-C     Workspace:  need  LENDAT + 6*HNPTS.
-C
-      IWXR = IWYMAG
-      IWXI = IWMAG
-C
-      DO 100 K = 1, 2*HNPTS
-         DWORK(IWXI+K-1) = ZERO
-  100 CONTINUE
-C
-C     IFFT
-C
-      CALL DG01MD( 'I', 2*HNPTS, DWORK(IWXR), DWORK(IWXI), INFO2 )
-C
-C     Rescale, because DG01MD doesn't do it.
-C
-      CALL DSCAL( HNPTS, ONE/( TWO*HNPTS ), DWORK(IWXR), 1 )
-      CALL DSCAL( HNPTS, ONE/( TWO*HNPTS ), DWORK(IWXI), 1 )
-C
-C     Halve the result at 0.
-C
-      DWORK(IWXR) = DWORK(IWXR)/TWO
-      DWORK(IWXI) = DWORK(IWXI)/TWO
-C
-C     FFT
-C
-      CALL DG01MD( 'D', HNPTS, DWORK(IWXR), DWORK(IWXI), INFO2 )
-C
-C     Get the EXP of the result.
-C
-      DO 110 K = 1, HNPTS/2
-         XHAT(K) = EXP( DWORK(IWXR+K-1) )*
-     $         DCMPLX ( COS( DWORK(IWXI+K-1)), SIN( DWORK(IWXI+K-1) ) )
-         DWORK(IWDME+K-1) = DWORK(IWDME+2*K-2)
-  110 CONTINUE
-C
-C     Interpolate back to original frequency data.
-C
-      ISTART = 1
-      ISTOP  = LENDAT
-C
-      DO 120 I = 1, LENDAT
-         ZWORK(I) = ZZERO
-         IF ( DWORK(IWDOMO+I-1).LE.DWORK(IWDME) ) THEN
-            ZWORK(I) = XHAT(1)
-            ISTART = I + 1
-         ELSE IF ( DWORK(IWDOMO+I-1).GE.DWORK(IWDME+HNPTS/2-1) )
-     $         THEN
-            ZWORK(I) = XHAT(HNPTS/2)
-            ISTOP = ISTOP - 1
-         END IF
-  120 CONTINUE
-C
-      DO 140 I = ISTART, ISTOP
-         II = HNPTS/2
-  130    CONTINUE
-            IF ( DWORK(IWDME+II-1).GE.DWORK(IWDOMO+I-1) )
-     $         P = II
-            II = II - 1
-         IF ( II.GT.0 )
-     $      GOTO 130
-         RAT = ( DWORK(IWDOMO+I-1) - DWORK(IWDME+P-2) )/
-     $         ( DWORK(IWDME+P-1)  - DWORK(IWDME+P-2) )
-         ZWORK(I) = RAT*XHAT(P) + ( ONE - RAT )*XHAT(P-1)
-  140 CONTINUE
-C
-C     CASE N > 0.
-C     This is the only allowed case in mu-synthesis subroutines.
-C
-      IF ( N.GT.0 ) THEN
-C
-C        Preparation for frequency identification.
-C
-C        @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
-C
-C        Complex workspace usage 1.
-C        Complex workspace:  need  2*LENDAT + LENDAT*(N+1).
-C
-         IWA0  = 1 + LENDAT
-         IWVAR = IWA0 + LENDAT*N1
-C
-         DO 150 K = 1, LENDAT
-            IF ( DISCFL.EQ.0 ) THEN
-               ZWORK(IWVAR+K-1) = DCMPLX( COS( DWORK(IWDOMO+K-1) ),
-     $                                    SIN( DWORK(IWDOMO+K-1) ) )
-            ELSE
-               ZWORK(IWVAR+K-1) = DCMPLX( COS( OMEGA(K) ),
-     $                                    SIN( OMEGA(K) ) )
-            END IF
-  150    CONTINUE
-C
-C        Array for DGELSY.
-C
-         DO 160 K = 1, N2
-            IWORK(K) = 0
-  160    CONTINUE
-C
-C        Constructing A0.
-C
-         DO 170 K = 1, LENDAT
-            ZWORK(IWA0+N*LENDAT+K-1) = ZONE
-  170    CONTINUE
-C
-         DO 190 I = 1, N
-            DO 180 K = 1, LENDAT
-               ZWORK(IWA0+(N-I)*LENDAT+K-1) =
-     $            ZWORK(IWA0+(N1-I)*LENDAT+K-1)*ZWORK(IWVAR+K-1)
-  180       CONTINUE
-  190    CONTINUE
-C
-C        @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
-C
-C        Complex workspace usage 2.
-C        Complex workspace:  need  2*LENDAT + LENDAT*(2*N+1).
-C
-         IWBP = IWVAR
-         IWAB = IWBP + LENDAT
-C
-C        Constructing BP.
-C
-         DO 200 K = 1, LENDAT
-            ZWORK(IWBP+K-1) = ZWORK(IWA0+K-1)*ZWORK(K)
-  200    CONTINUE
-C
-C        Constructing AB.
-C
-         DO 220 I = 1, N
-            DO 210 K = 1, LENDAT
-               ZWORK(IWAB+(I-1)*LENDAT+K-1) = -ZWORK(K)*
-     $             ZWORK(IWA0+I*LENDAT+K-1)
-  210       CONTINUE
-  220    CONTINUE
-C
-C        @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
-C
-C        Workspace usage 3.
-C        Workspace:  need  LW3 = 2*LENDAT*(2*N+1) + max(2*LENDAT,2*N+1).
-C
-         IWBX = 1 + 2*LENDAT*N2
-         IWS  = IWBX + MAX( 2*LENDAT, N2 )
-C
-C        Constructing AX.
-C
-         DO 240 I = 1, N1
-            DO 230 K = 1, LENDAT
-               DWORK(2*(I-1)*LENDAT+K) =
-     $            DBLE( ZWORK(IWA0+(I-1)*LENDAT+K-1) )
-               DWORK((2*I-1)*LENDAT+K) =
-     $            DIMAG( ZWORK(IWA0+(I-1)*LENDAT+K-1) )
-  230       CONTINUE
-  240    CONTINUE
-C
-         DO 260 I = 1, N
-            DO 250 K = 1, LENDAT
-               DWORK(2*N1*LENDAT+2*(I-1)*LENDAT+K) =
-     $            DBLE( ZWORK(IWAB+(I-1)*LENDAT+K-1) )
-               DWORK(2*N1*LENDAT+(2*I-1)*LENDAT+K) =
-     $            DIMAG( ZWORK(IWAB+(I-1)*LENDAT+K-1) )
-  250       CONTINUE
-  260    CONTINUE
-C
-C        Constructing BX.
-C
-         DO 270 K = 1, LENDAT
-            DWORK(IWBX+K-1) = DBLE( ZWORK(IWBP+K-1) )
-            DWORK(IWBX+LENDAT+K-1) = DIMAG( ZWORK(IWBP+K-1) )
-  270    CONTINUE
-C
-C        Estimating X.
-C        Workspace:  need    LW3 + max( MN+3*(2*N+1)+1, 2*MN+1 ),
-C                            where MN = min( 2*LENDAT, 2*N+1 );
-C                            prefer  larger.
-C
-         CALL DGELSY( 2*LENDAT, N2, 1, DWORK, 2*LENDAT, DWORK(IWBX),
-     $                MAX( 2*LENDAT, N2 ), IWORK, TOLL, RANK,
-     $                DWORK(IWS), LDWORK-IWS+1, INFO2 )
-         DLWMAX = MAX( DLWMAX, INT( DWORK(IWS) + IWS - 1 ) )
-C
-C        Constructing A matrix.
-C
-         DO 280 K = 1, N
-            A(K,1) = -DWORK(IWBX+N1+K-1)
-  280    CONTINUE
-C
-         IF ( N.GT.1 )
-     $      CALL DLASET( 'Full', N, N-1, ZERO, ONE, A(1,2), LDA )
-C
-C        Constructing B matrix.
-C
-         DO 290 K = 1, N
-            B(K) = DWORK(IWBX+N1+K-1)*DWORK(IWBX) - DWORK(IWBX+K)
-  290    CONTINUE
-C
-C        Constructing C matrix.
-C
-         C(1) = -ONE
-C
-         DO 300 K = 2, N
-            C(K) = ZERO
-  300    CONTINUE
-C
-C        Constructing D matrix.
-C
-         D(1) = DWORK(IWBX)
-C
-C        Transform to continuous-time case, if needed.
-C        Workspace:  need    max(1,N);
-C                            prefer  larger.
-C
-         IF ( DISCFL.EQ.0 ) THEN
-            CALL AB04MD( 'D', N, 1, 1, ONE, PW, A, LDA, B, LDA, C, 1,
-     $                   D, 1, IWORK, DWORK, LDWORK, INFO2 )
-            IF ( INFO2.NE.0 ) THEN
-               INFO = 1
-               RETURN
-            END IF
-            DLWMAX = MAX( DLWMAX, INT( DWORK(1) ) )
-         END IF
-C
-C        Make all the real parts of the poles and the zeros negative.
-C
-         IF ( FLAG.EQ.1 ) THEN
-C
-C           Workspace:  need    max(N*N + 5*N, 6*N + 1 + min(1,N));
-C                               prefer  larger.
-            CALL SB10ZP( DISCFL, N, A, LDA, B, C, D, IWORK, DWORK,
-     $                   LDWORK, INFO )
-            IF ( INFO.NE.0 )
-     $         RETURN
-            DLWMAX = MAX( DLWMAX, INT( DWORK(1) ) )
-         END IF
-C
-       ELSE
-C
-C        CASE N = 0.
-C
-C        @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
-C
-C        Workspace usage 4.
-C        Workspace:  need  4*LENDAT.
-C
-         IWBMAT = 1 + 2*LENDAT
-         IWS    = IWBMAT + 2*LENDAT
-C
-C        Constructing AMAT and BMAT.
-C
-         DO 310 K = 1, LENDAT
-            DWORK(K) = ONE
-            DWORK(K+LENDAT) = ZERO
-            DWORK(IWBMAT+K-1) = DBLE( ZWORK(K) )
-            DWORK(IWBMAT+LENDAT+K-1) = DIMAG( ZWORK(K) )
-  310    CONTINUE
-C
-C        Estimating D matrix.
-C        Workspace:  need    4*LENDAT + 5;
-C                            prefer  larger.
-C
-         IWORK(1) = 0
-         CALL DGELSY( 2*LENDAT, 1, 1, DWORK, 2*LENDAT, DWORK(IWBMAT),
-     $                2*LENDAT, IWORK, TOLL, RANK, DWORK(IWS),
-     $                LDWORK-IWS+1, INFO2 )
-         DLWMAX = MAX( DLWMAX, INT( DWORK(IWS) + IWS - 1 ) )
-C
-         D(1) = DWORK(IWBMAT)
-C
-      END IF
-C
-C     @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
-C
-      DWORK(1) = DLWMAX
-      DWORK(2) = CLWMAX
-      RETURN
-C
-C *** Last line of SB10YD ***
-      END
--- a/extra/control-devel/devel/dksyn/SB10ZP.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,339 +0,0 @@
-      SUBROUTINE SB10ZP( DISCFL, N, A, LDA, B, C, D, IWORK, DWORK,
-     $                   LDWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To transform a SISO (single-input single-output) system [A,B;C,D]
-C     by mirroring its unstable poles and zeros in the boundary of the
-C     stability domain, thus preserving the frequency response of the
-C     system, but making it stable and minimum phase. Specifically, for
-C     a continuous-time system, the positive real parts of its poles
-C     and zeros are exchanged with their negatives. Discrete-time
-C     systems are first converted to continuous-time systems using a
-C     bilinear transformation, and finally converted back.
-C
-C     ARGUMENTS
-C
-C     Input/Output parameters
-C
-C     DISCFL  (input) INTEGER
-C             Indicates the type of the system, as follows:
-C             = 0: continuous-time system;
-C             = 1: discrete-time system.
-C
-C     N       (input/output) INTEGER
-C             On entry, the order of the original system.  N >= 0.
-C             On exit, the order of the transformed, minimal system.
-C
-C     A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
-C             On entry, the leading N-by-N part of this array must
-C             contain the original system matrix A.
-C             On exit, the leading N-by-N part of this array contains
-C             the transformed matrix A, in an upper Hessenberg form.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.  LDA >= MAX(1,N).
-C
-C     B       (input/output) DOUBLE PRECISION array, dimension (N)
-C             On entry, this array must contain the original system
-C             vector B.
-C             On exit, this array contains the transformed vector B.
-C
-C     C       (input/output) DOUBLE PRECISION array, dimension (N)
-C             On entry, this array must contain the original system
-C             vector C.
-C             On exit, this array contains the transformed vector C.
-C             The first N-1 elements are zero (for the exit value of N).
-C
-C     D       (input/output) DOUBLE PRECISION array, dimension (1)
-C             On entry, this array must contain the original system
-C             scalar D.
-C             On exit, this array contains the transformed scalar D.
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension max(2,N+1)
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if INFO = 0, DWORK(1) returns the optimal value
-C             of LDWORK.
-C
-C     LDWORK  INTEGER
-C             The length of the array DWORK.
-C             LDWORK >= max(N*N + 5*N, 6*N + 1 + min(1,N)).
-C             For optimum performance LDWORK should be larger.
-C
-C     Error indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = 1:  if the discrete --> continuous transformation cannot
-C                   be made;
-C             = 2:  if the system poles cannot be found;
-C             = 3:  if the inverse system cannot be found, i.e., D is
-C                   (close to) zero;
-C             = 4:  if the system zeros cannot be found;
-C             = 5:  if the state-space representation of the new
-C                   transfer function T(s) cannot be found;
-C             = 6:  if the continuous --> discrete transformation cannot
-C                   be made.
-C
-C     METHOD
-C
-C     First, if the system is discrete-time, it is transformed to
-C     continuous-time using alpha = beta = 1 in the bilinear
-C     transformation implemented in the SLICOT routine AB04MD.
-C     Then the eigenvalues of A, i.e., the system poles, are found.
-C     Then, the inverse of the original system is found and its poles,
-C     i.e., the system zeros, are evaluated.
-C     The obtained system poles Pi and zeros Zi are checked and if a
-C     positive real part is detected, it is exchanged by -Pi or -Zi.
-C     Then the polynomial coefficients of the transfer function
-C     T(s) = Q(s)/P(s) are found.
-C     The state-space representation of T(s) is then obtained.
-C     The system matrices B, C, D are scaled so that the transformed
-C     system has the same system gain as the original system.
-C     If the original system is discrete-time, then the result (which is
-C     continuous-time) is converted back to discrete-time.
-C
-C     CONTRIBUTORS
-C
-C     Asparuh Markovski, Technical University of Sofia, July 2003.
-C
-C     REVISIONS
-C
-C     V. Sima, Research Institute for Informatics, Bucharest, Aug. 2003.
-C
-C     KEYWORDS
-C
-C     Bilinear transformation, stability, state-space representation.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0 )
-C     ..
-C     .. Scalar Arguments ..
-      INTEGER            DISCFL, INFO, LDA, LDWORK, N
-C     ..
-C     .. Array Arguments ..
-      INTEGER            IWORK( * )
-      DOUBLE PRECISION   A( LDA, * ), B( * ), C( * ), D( * ), DWORK( * )
-C     ..
-C     .. Local Scalars ..
-      INTEGER            I, IDW1, IDW2, IDW3, IMP, IMZ, INFO2, IWA, IWP,
-     $                   IWPS, IWQ, IWQS, LDW1, MAXWRK, REP, REZ
-      DOUBLE PRECISION   RCOND, SCALB, SCALC, SCALD
-C     ..
-C     .. Local Arrays ..
-      INTEGER            INDEX(1)
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           AB04MD, AB07ND, DCOPY, DGEEV, DLACPY, DSCAL,
-     $                   MC01PD, TD04AD, XERBLA
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          ABS, INT, MAX, MIN, SIGN, SQRT
-C
-C     Test input parameters and workspace.
-C
-      INFO = 0
-      IF ( DISCFL.NE.0 .AND. DISCFL.NE.1 ) THEN
-         INFO = -1
-      ELSE IF ( N.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -4
-      ELSE IF ( LDWORK.LT.MAX( N*N + 5*N, 6*N + 1 + MIN( 1, N ) ) ) THEN
-         INFO = -10
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'SB10ZP', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF( N.EQ.0 ) THEN
-         DWORK(1) = ONE
-         RETURN
-      END IF
-C
-C     Workspace usage 1.
-C
-      REP  = 1
-      IMP  = REP + N
-      REZ  = IMP + N
-      IMZ  = REZ + N
-      IWA  = REZ
-      IDW1 = IWA + N*N
-      LDW1 = LDWORK - IDW1 + 1
-C
-C     1. Discrete --> continuous transformation if needed.
-C
-      IF ( DISCFL.EQ.1 ) THEN
-C
-C        Workspace:  need    max(1,N);
-C                            prefer  larger.
-C
-         CALL AB04MD( 'D', N, 1, 1, ONE, ONE, A, LDA, B, LDA, C, 1,
-     $                D, 1, IWORK, DWORK, LDWORK, INFO2 )
-         IF ( INFO2.NE.0 ) THEN
-            INFO = 1
-            RETURN
-         END IF
-         MAXWRK = INT( DWORK(1) )
-      ELSE
-         MAXWRK = 0
-      END IF
-C
-C     2. Determine the factors for restoring system gain.
-C
-      SCALD = D(1)
-      SCALC = SQRT( ABS( SCALD ) )
-      SCALB = SIGN( SCALC, SCALD )
-C
-C     3. Find the system poles, i.e., the eigenvalues of A.
-C        Workspace:  need    N*N + 2*N + 3*N;
-C                            prefer  larger.
-C
-      CALL DLACPY( 'Full', N, N, A, LDA, DWORK(IWA), N )
-C
-      CALL DGEEV( 'N', 'N', N, DWORK(IWA), N, DWORK(REP), DWORK(IMP),
-     $            DWORK(IDW1), 1, DWORK(IDW1), 1, DWORK(IDW1), LDW1,
-     $            INFO2 )
-      IF ( INFO2.NE.0 ) THEN
-         INFO = 2
-         RETURN
-      END IF
-      MAXWRK = MAX( MAXWRK, INT( DWORK(IDW1) + IDW1 - 1 ) )
-C
-C     4. Compute the inverse system [Ai, Bi; Ci, Di].
-C        Workspace:  need    N*N + 2*N + 4;
-C                            prefer  larger.
-C
-      CALL AB07ND( N, 1, A, LDA, B, LDA, C, 1, D, 1, RCOND, IWORK,
-     $             DWORK(IDW1), LDW1, INFO2 )
-      IF ( INFO2.NE.0 ) THEN
-         INFO = 3
-         RETURN
-      END IF
-      MAXWRK = MAX( MAXWRK, INT( DWORK(IDW1) + IDW1 - 1 ) )
-C
-C     5. Find the system zeros, i.e., the eigenvalues of Ai.
-C        Workspace:  need    4*N + 3*N;
-C                            prefer  larger.
-C
-      IDW1 = IMZ + N
-      LDW1 = LDWORK - IDW1 + 1
-C
-      CALL DGEEV( 'N', 'N', N, A, LDA, DWORK(REZ), DWORK(IMZ),
-     $            DWORK(IDW1), 1, DWORK(IDW1), 1, DWORK(IDW1), LDW1,
-     $            INFO2 )
-      IF ( INFO2.NE.0 ) THEN
-         INFO = 4
-         RETURN
-      END IF
-      MAXWRK = MAX( MAXWRK, INT( DWORK(IDW1) + IDW1 - 1 ) )
-C
-C     6. Exchange the zeros and the poles with positive real parts with
-C        their negatives.
-C
-      DO 10 I = 0, N - 1
-         IF ( DWORK(REP+I).GT.ZERO )
-     $      DWORK(REP+I) = -DWORK(REP+I)
-         IF ( DWORK(REZ+I).GT.ZERO )
-     $      DWORK(REZ+I) = -DWORK(REZ+I)
-   10 CONTINUE
-C
-C     Workspace usage 2.
-C
-      IWP  = IDW1
-      IDW2 = IWP + N + 1
-      IWPS = 1
-C
-C     7. Construct the nominator and the denominator
-C        of the system transfer function T( s ) = Q( s )/P( s ).
-C     8. Rearrange the coefficients in Q(s) and P(s) because
-C        MC01PD subroutine produces them in increasing powers of s.
-C        Workspace:  need    6*N + 2.
-C
-      CALL MC01PD( N, DWORK(REP), DWORK(IMP), DWORK(IWP), DWORK(IDW2),
-     $             INFO2 )
-      CALL DCOPY( N+1, DWORK(IWP), -1, DWORK(IWPS), 1 )
-C
-C     Workspace usage 3.
-C
-      IWQ  = IDW1
-      IWQS = IWPS + N + 1
-      IDW3 = IWQS + N + 1
-C
-      CALL MC01PD( N, DWORK(REZ), DWORK(IMZ), DWORK(IWQ), DWORK(IDW2),
-     $             INFO2 )
-      CALL DCOPY( N+1, DWORK(IWQ), -1, DWORK(IWQS), 1 )
-C
-C     9. Make the conversion T(s) --> [A, B; C, D].
-C        Workspace:  need    2*N + 2 + N + max(N,3);
-C                            prefer  larger.
-C
-      INDEX(1) = N
-      CALL TD04AD( 'R', 1, 1, INDEX, DWORK(IWPS), 1, DWORK(IWQS), 1, 1,
-     $             N, A, LDA, B, LDA, C, 1, D, 1, -ONE, IWORK,
-     $             DWORK(IDW3), LDWORK-IDW3+1, INFO2 )
-      IF ( INFO2.NE.0 ) THEN
-         INFO = 5
-         RETURN
-      END IF
-      MAXWRK = MAX( MAXWRK, INT( DWORK(IDW3) + IDW3 - 1 ) )
-C
-C    10. Scale the transformed system to the previous gain.
-C
-      IF ( N.GT.0 ) THEN
-         CALL DSCAL( N, SCALB, B, 1 )
-         C(N) = SCALC*C(N)
-      END IF
-C
-      D(1) = SCALD
-C
-C     11. Continuous --> discrete transformation if needed.
-C
-      IF ( DISCFL.EQ.1 ) THEN
-         CALL AB04MD( 'C', N, 1, 1, ONE, ONE, A, LDA, B, LDA, C, 1,
-     $                D, 1, IWORK, DWORK, LDWORK, INFO2 )
-
-         IF ( INFO2.NE.0 ) THEN
-            INFO = 6
-            RETURN
-         END IF
-      END IF
-C
-      DWORK(1) = MAXWRK
-      RETURN
-C
-C *** Last line of SB10ZP ***
-      END
--- a/extra/control-devel/devel/dksyn/TB01ID.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,402 +0,0 @@
-      SUBROUTINE TB01ID( JOB, N, M, P, MAXRED, A, LDA, B, LDB, C, LDC,
-     $                   SCALE, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To reduce the 1-norm of a system matrix
-C
-C             S =  ( A  B )
-C                  ( C  0 )
-C
-C     corresponding to the triple (A,B,C), by balancing. This involves
-C     a diagonal similarity transformation inv(D)*A*D applied
-C     iteratively to A to make the rows and columns of
-C                           -1
-C                  diag(D,I)  * S * diag(D,I)
-C
-C     as close in norm as possible.
-C
-C     The balancing can be performed optionally on the following
-C     particular system matrices
-C
-C              S = A,    S = ( A  B )    or    S = ( A )
-C                                                  ( C )
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     JOB     CHARACTER*1
-C             Indicates which matrices are involved in balancing, as
-C             follows:
-C             = 'A':  All matrices are involved in balancing;
-C             = 'B':  B and A matrices are involved in balancing;
-C             = 'C':  C and A matrices are involved in balancing;
-C             = 'N':  B and C matrices are not involved in balancing.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the matrix A, the number of rows of matrix B
-C             and the number of columns of matrix C.
-C             N represents the dimension of the state vector.  N >= 0.
-C
-C     M       (input) INTEGER.
-C             The number of columns of matrix B.
-C             M represents the dimension of input vector.  M >= 0.
-C
-C     P       (input) INTEGER.
-C             The number of rows of matrix C.
-C             P represents the dimension of output vector.  P >= 0.
-C
-C     MAXRED  (input/output) DOUBLE PRECISION
-C             On entry, the maximum allowed reduction in the 1-norm of
-C             S (in an iteration) if zero rows or columns are
-C             encountered.
-C             If MAXRED > 0.0, MAXRED must be larger than one (to enable
-C             the norm reduction).
-C             If MAXRED <= 0.0, then the value 10.0 for MAXRED is
-C             used.
-C             On exit, if the 1-norm of the given matrix S is non-zero,
-C             the ratio between the 1-norm of the given matrix and the
-C             1-norm of the balanced matrix.
-C
-C     A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
-C             On entry, the leading N-by-N part of this array must
-C             contain the system state matrix A.
-C             On exit, the leading N-by-N part of this array contains
-C             the balanced matrix inv(D)*A*D.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.  LDA >= max(1,N).
-C
-C     B       (input/output) DOUBLE PRECISION array, dimension (LDB,M)
-C             On entry, if M > 0, the leading N-by-M part of this array
-C             must contain the system input matrix B.
-C             On exit, if M > 0, the leading N-by-M part of this array
-C             contains the balanced matrix inv(D)*B.
-C             The array B is not referenced if M = 0.
-C
-C     LDB     INTEGER
-C             The leading dimension of the array B.
-C             LDB >= MAX(1,N) if M > 0.
-C             LDB >= 1        if M = 0.
-C
-C     C       (input/output) DOUBLE PRECISION array, dimension (LDC,N)
-C             On entry, if P > 0, the leading P-by-N part of this array
-C             must contain the system output matrix C.
-C             On exit, if P > 0, the leading P-by-N part of this array
-C             contains the balanced matrix C*D.
-C             The array C is not referenced if P = 0.
-C
-C     LDC     INTEGER
-C             The leading dimension of the array C.  LDC >= MAX(1,P).
-C
-C     SCALE   (output) DOUBLE PRECISION array, dimension (N)
-C             The scaling factors applied to S.  If D(j) is the scaling
-C             factor applied to row and column j, then SCALE(j) = D(j),
-C             for j = 1,...,N.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit.
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value.
-C
-C     METHOD
-C
-C     Balancing consists of applying a diagonal similarity
-C     transformation
-C                           -1
-C                  diag(D,I)  * S * diag(D,I)
-C
-C     to make the 1-norms of each row of the first N rows of S and its
-C     corresponding column nearly equal.
-C
-C     Information about the diagonal matrix D is returned in the vector
-C     SCALE.
-C
-C     REFERENCES
-C
-C     [1] Anderson, E., Bai, Z., Bischof, C., Demmel, J., Dongarra, J.,
-C         Du Croz, J., Greenbaum, A., Hammarling, S., McKenney, A.,
-C         Ostrouchov, S., and Sorensen, D.
-C         LAPACK Users' Guide: Second Edition.
-C         SIAM, Philadelphia, 1995.
-C
-C     NUMERICAL ASPECTS
-C
-C     None.
-C
-C     CONTRIBUTOR
-C
-C     Release 3.0: V. Sima, Katholieke Univ. Leuven, Belgium, Jan. 1998.
-C     This subroutine is based on LAPACK routine DGEBAL, and routine
-C     BALABC (A. Varga, German Aerospace Research Establishment, DLR).
-C
-C     REVISIONS
-C
-C     -
-C
-C     KEYWORDS
-C
-C     Balancing, eigenvalue, matrix algebra, matrix operations,
-C     similarity transformation.
-C
-C  *********************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION   ZERO, ONE
-      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0 )
-      DOUBLE PRECISION   SCLFAC
-      PARAMETER          ( SCLFAC = 1.0D+1 )
-      DOUBLE PRECISION   FACTOR, MAXR
-      PARAMETER          ( FACTOR = 0.95D+0, MAXR = 10.0D+0 )
-C     ..
-C     .. Scalar Arguments ..
-      CHARACTER          JOB
-      INTEGER            INFO, LDA, LDB, LDC, M, N, P
-      DOUBLE PRECISION   MAXRED
-C     ..
-C     .. Array Arguments ..
-      DOUBLE PRECISION   A( LDA, * ), B( LDB, * ), C( LDC, * ),
-     $                   SCALE( * )
-C     ..
-C     .. Local Scalars ..
-      LOGICAL            NOCONV, WITHB, WITHC
-      INTEGER            I, ICA, IRA, J
-      DOUBLE PRECISION   CA, CO, F, G, MAXNRM, RA, RO, S, SFMAX1,
-     $                   SFMAX2, SFMIN1, SFMIN2, SNORM, SRED
-C     ..
-C     .. External Functions ..
-      LOGICAL            LSAME
-      INTEGER            IDAMAX
-      DOUBLE PRECISION   DASUM, DLAMCH
-      EXTERNAL           DASUM, DLAMCH, IDAMAX, LSAME
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DSCAL, XERBLA
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          ABS, MAX, MIN
-C     ..
-C     .. Executable Statements ..
-C
-C     Test the scalar input arguments.
-C
-      INFO  = 0
-      WITHB = LSAME( JOB, 'A' ) .OR. LSAME( JOB, 'B' )
-      WITHC = LSAME( JOB, 'A' ) .OR. LSAME( JOB, 'C' )
-C
-      IF( .NOT.WITHB .AND. .NOT.WITHC .AND. .NOT.LSAME( JOB, 'N' ) )
-     $   THEN
-         INFO = -1
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( P.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( MAXRED.GT.ZERO .AND. MAXRED.LT.ONE ) THEN
-         INFO = -5
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -7
-      ELSE IF( ( M.GT.0 .AND. LDB.LT.MAX( 1, N ) ) .OR.
-     $         ( M.EQ.0 .AND. LDB.LT.1 ) ) THEN
-         INFO = -9
-      ELSE IF( LDC.LT.MAX( 1, P ) ) THEN
-         INFO = -11
-      END IF
-      IF( INFO.NE.0 ) THEN
-         CALL XERBLA( 'TB01ID', -INFO )
-         RETURN
-      END IF
-C
-      IF( N.EQ.0 )
-     $   RETURN
-C
-C     Compute the 1-norm of the required part of matrix S and exit if
-C     it is zero.
-C
-      SNORM = ZERO
-C
-      DO 10 J = 1, N
-         SCALE( J ) = ONE
-         CO = DASUM( N, A( 1, J ), 1 )
-         IF( WITHC .AND. P.GT.0 )
-     $      CO = CO + DASUM( P, C( 1, J ), 1 )
-         SNORM = MAX( SNORM, CO )
-   10 CONTINUE
-C
-      IF( WITHB ) THEN
-C
-         DO 20 J = 1, M
-            SNORM = MAX( SNORM, DASUM( N, B( 1, J ), 1 ) )
-   20    CONTINUE
-C
-      END IF
-C
-      IF( SNORM.EQ.ZERO )
-     $   RETURN
-C
-C     Set some machine parameters and the maximum reduction in the
-C     1-norm of S if zero rows or columns are encountered.
-C
-      SFMIN1 = DLAMCH( 'S' ) / DLAMCH( 'P' )
-      SFMAX1 = ONE / SFMIN1
-      SFMIN2 = SFMIN1*SCLFAC
-      SFMAX2 = ONE / SFMIN2
-C
-      SRED = MAXRED
-      IF( SRED.LE.ZERO ) SRED = MAXR
-C
-      MAXNRM = MAX( SNORM/SRED, SFMIN1 )
-C
-C     Balance the matrix.
-C
-C     Iterative loop for norm reduction.
-C
-   30 CONTINUE
-      NOCONV = .FALSE.
-C
-      DO 90 I = 1, N
-         CO = ZERO
-         RO = ZERO
-C
-         DO 40 J = 1, N
-            IF( J.EQ.I )
-     $         GO TO 40
-            CO = CO + ABS( A( J, I ) )
-            RO = RO + ABS( A( I, J ) )
-   40    CONTINUE
-C
-         ICA = IDAMAX( N, A( 1, I ), 1 )
-         CA  = ABS( A( ICA, I ) )
-         IRA = IDAMAX( N, A( I, 1 ), LDA )
-         RA  = ABS( A( I, IRA ) )
-C
-         IF( WITHC .AND. P.GT.0 ) THEN
-            CO  = CO + DASUM( P, C( 1, I ), 1 )
-            ICA = IDAMAX( P, C( 1, I ), 1 )
-            CA  = MAX( CA, ABS( C( ICA, I ) ) )
-         END IF
-C
-         IF( WITHB .AND. M.GT.0 ) THEN
-            RO  = RO + DASUM( M, B( I, 1 ), LDB )
-            IRA = IDAMAX( M, B( I, 1 ), LDB )
-            RA  = MAX( RA, ABS( B( I, IRA ) ) )
-         END IF
-C
-C        Special case of zero CO and/or RO.
-C
-         IF( CO.EQ.ZERO .AND. RO.EQ.ZERO )
-     $      GO TO 90
-         IF( CO.EQ.ZERO ) THEN
-            IF( RO.LE.MAXNRM )
-     $         GO TO 90
-            CO = MAXNRM
-         END IF
-         IF( RO.EQ.ZERO ) THEN
-            IF( CO.LE.MAXNRM )
-     $         GO TO 90
-            RO = MAXNRM
-         END IF
-C
-C        Guard against zero CO or RO due to underflow.
-C
-         G = RO / SCLFAC
-         F = ONE
-         S = CO + RO
-   50    CONTINUE
-         IF( CO.GE.G .OR. MAX( F, CO, CA ).GE.SFMAX2 .OR.
-     $       MIN( RO, G, RA ).LE.SFMIN2 )GO TO 60
-         F  =  F*SCLFAC
-         CO = CO*SCLFAC
-         CA = CA*SCLFAC
-         G  =  G / SCLFAC
-         RO = RO / SCLFAC
-         RA = RA / SCLFAC
-         GO TO 50
-C
-   60    CONTINUE
-         G = CO / SCLFAC
-   70    CONTINUE
-         IF( G.LT.RO .OR. MAX( RO, RA ).GE.SFMAX2 .OR.
-     $       MIN( F, CO, G, CA ).LE.SFMIN2 )GO TO 80
-         F  =  F / SCLFAC
-         CO = CO / SCLFAC
-         CA = CA / SCLFAC
-         G  =  G / SCLFAC
-         RO = RO*SCLFAC
-         RA = RA*SCLFAC
-         GO TO 70
-C
-C        Now balance.
-C
-   80    CONTINUE
-         IF( ( CO+RO ).GE.FACTOR*S )
-     $      GO TO 90
-         IF( F.LT.ONE .AND. SCALE( I ).LT.ONE ) THEN
-            IF( F*SCALE( I ).LE.SFMIN1 )
-     $         GO TO 90
-         END IF
-         IF( F.GT.ONE .AND. SCALE( I ).GT.ONE ) THEN
-            IF( SCALE( I ).GE.SFMAX1 / F )
-     $         GO TO 90
-         END IF
-         G = ONE / F
-         SCALE( I ) = SCALE( I )*F
-         NOCONV = .TRUE.
-C
-         CALL DSCAL( N, G, A( I, 1 ), LDA )
-         CALL DSCAL( N, F, A( 1, I ), 1 )
-         IF( M.GT.0 ) CALL DSCAL( M, G, B( I, 1 ), LDB )
-         IF( P.GT.0 ) CALL DSCAL( P, F, C( 1, I ), 1 )
-C
-   90 CONTINUE
-C
-      IF( NOCONV )
-     $   GO TO 30
-C
-C     Set the norm reduction parameter.
-C
-      MAXRED = SNORM
-      SNORM  = ZERO
-C
-      DO 100 J = 1, N
-         CO = DASUM( N, A( 1, J ), 1 )
-         IF( WITHC .AND. P.GT.0 )
-     $      CO = CO + DASUM( P, C( 1, J ), 1 )
-         SNORM = MAX( SNORM, CO )
-  100 CONTINUE
-C
-      IF( WITHB ) THEN
-C
-         DO 110 J = 1, M
-            SNORM = MAX( SNORM, DASUM( N, B( 1, J ), 1 ) )
-  110    CONTINUE
-C
-      END IF
-      MAXRED = MAXRED/SNORM
-      RETURN
-C *** Last line of TB01ID ***
-      END
--- a/extra/control-devel/devel/dksyn/TB01PD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,352 +0,0 @@
-      SUBROUTINE TB01PD( JOB, EQUIL, N, M, P, A, LDA, B, LDB, C, LDC,
-     $                   NR, TOL, IWORK, DWORK, LDWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To find a reduced (controllable, observable, or minimal) state-
-C     space representation (Ar,Br,Cr) for any original state-space
-C     representation (A,B,C). The matrix Ar is in upper block
-C     Hessenberg form.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     JOB     CHARACTER*1
-C             Indicates whether the user wishes to remove the
-C             uncontrollable and/or unobservable parts as follows:
-C             = 'M':  Remove both the uncontrollable and unobservable
-C                     parts to get a minimal state-space representation;
-C             = 'C':  Remove the uncontrollable part only to get a
-C                     controllable state-space representation;
-C             = 'O':  Remove the unobservable part only to get an
-C                     observable state-space representation.
-C
-C     EQUIL   CHARACTER*1
-C             Specifies whether the user wishes to preliminarily balance
-C             the triplet (A,B,C) as follows:
-C             = 'S':  Perform balancing (scaling);
-C             = 'N':  Do not perform balancing.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the original state-space representation, i.e.
-C             the order of the matrix A.  N >= 0.
-C
-C     M       (input) INTEGER
-C             The number of system inputs.  M >= 0.
-C
-C     P       (input) INTEGER
-C             The number of system outputs.   P >= 0.
-C
-C     A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
-C             On entry, the leading N-by-N part of this array must
-C             contain the original state dynamics matrix A.
-C             On exit, the leading NR-by-NR part of this array contains
-C             the upper block Hessenberg state dynamics matrix Ar of a
-C             minimal, controllable, or observable realization for the
-C             original system, depending on the value of JOB, JOB = 'M',
-C             JOB = 'C', or JOB = 'O', respectively.
-C
-C     LDA     INTEGER
-C             The leading dimension of array A.  LDA >= MAX(1,N).
-C
-C     B       (input/output) DOUBLE PRECISION array, dimension (LDB,M),
-C             if JOB = 'C', or (LDB,MAX(M,P)), otherwise.
-C             On entry, the leading N-by-M part of this array must
-C             contain the original input/state matrix B; if JOB = 'M',
-C             or JOB = 'O', the remainder of the leading N-by-MAX(M,P)
-C             part is used as internal workspace.
-C             On exit, the leading NR-by-M part of this array contains
-C             the transformed input/state matrix Br of a minimal,
-C             controllable, or observable realization for the original
-C             system, depending on the value of JOB, JOB = 'M',
-C             JOB = 'C', or JOB = 'O', respectively.
-C             If JOB = 'C', only the first IWORK(1) rows of B are
-C             nonzero.
-C
-C     LDB     INTEGER
-C             The leading dimension of array B.  LDB >= MAX(1,N).
-C
-C     C       (input/output) DOUBLE PRECISION array, dimension (LDC,N)
-C             On entry, the leading P-by-N part of this array must
-C             contain the original state/output matrix C; if JOB = 'M',
-C             or JOB = 'O', the remainder of the leading MAX(M,P)-by-N
-C             part is used as internal workspace.
-C             On exit, the leading P-by-NR part of this array contains
-C             the transformed state/output matrix Cr of a minimal,
-C             controllable, or observable realization for the original
-C             system, depending on the value of JOB, JOB = 'M',
-C             JOB = 'C', or JOB = 'O', respectively.
-C             If JOB = 'M', or JOB = 'O', only the last IWORK(1) columns
-C             (in the first NR columns) of C are nonzero.
-C
-C     LDC     INTEGER
-C             The leading dimension of array C.
-C             LDC >= MAX(1,M,P) if N > 0.
-C             LDC >= 1          if N = 0.
-C
-C     NR      (output) INTEGER
-C             The order of the reduced state-space representation
-C             (Ar,Br,Cr) of a minimal, controllable, or observable
-C             realization for the original system, depending on
-C             JOB = 'M', JOB = 'C', or JOB = 'O'.
-C
-C     Tolerances
-C
-C     TOL     DOUBLE PRECISION
-C             The tolerance to be used in rank determination when
-C             transforming (A, B, C). If the user sets TOL > 0, then
-C             the given value of TOL is used as a lower bound for the
-C             reciprocal condition number (see the description of the
-C             argument RCOND in the SLICOT routine MB03OD);  a
-C             (sub)matrix whose estimated condition number is less than
-C             1/TOL is considered to be of full rank.  If the user sets
-C             TOL <= 0, then an implicitly computed, default tolerance
-C             (determined by the SLICOT routine TB01UD) is used instead.
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension (N+MAX(M,P))
-C             On exit, if INFO = 0, the first nonzero elements of
-C             IWORK(1:N) return the orders of the diagonal blocks of A.
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if INFO = 0, DWORK(1) returns the optimal value
-C             of LDWORK.
-C
-C     LDWORK  INTEGER
-C             The length of the array DWORK.
-C             LDWORK >= MAX(1, N + MAX(N, 3*M, 3*P)).
-C             For optimum performance LDWORK should be larger.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value.
-C
-C     METHOD
-C
-C     If JOB = 'M', the matrices A and B are operated on by orthogonal
-C     similarity transformations (made up of products of Householder
-C     transformations) so as to produce an upper block Hessenberg matrix
-C     A1 and a matrix B1 with all but its first rank(B) rows zero; this
-C     separates out the controllable part of the original system.
-C     Applying the same algorithm to the dual of this subsystem,
-C     therefore separates out the controllable and observable (i.e.
-C     minimal) part of the original system representation, with the
-C     final Ar upper block Hessenberg (after using pertransposition).
-C     If JOB = 'C', or JOB = 'O', only the corresponding part of the
-C     above procedure is applied.
-C
-C     REFERENCES
-C
-C     [1] Van Dooren, P.
-C         The Generalized Eigenstructure Problem in Linear System
-C         Theory. (Algorithm 1)
-C         IEEE Trans. Auto. Contr., AC-26, pp. 111-129, 1981.
-C
-C     NUMERICAL ASPECTS
-C                               3
-C     The algorithm requires 0(N ) operations and is backward stable.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, Feb. 1998.
-C
-C     REVISIONS
-C
-C     A. Varga, DLR Oberpfaffenhofen, July 1998.
-C     A. Varga, DLR Oberpfaffenhofen, April 28, 1999.
-C     V. Sima, Research Institute for Informatics, Bucharest, Mar. 2004.
-C
-C     KEYWORDS
-C
-C     Hessenberg form, minimal realization, multivariable system,
-C     orthogonal transformation, state-space model, state-space
-C     representation.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      INTEGER           LDIZ
-      PARAMETER         ( LDIZ = 1 )
-      DOUBLE PRECISION  ZERO, ONE
-      PARAMETER         ( ZERO = 0.0D0, ONE = 1.0D0 )
-C     .. Scalar Arguments ..
-      CHARACTER         EQUIL, JOB
-      INTEGER           INFO, LDA, LDB, LDC, LDWORK, M, N, NR, P
-      DOUBLE PRECISION  TOL
-C     .. Array Arguments ..
-      INTEGER           IWORK(*)
-      DOUBLE PRECISION  A(LDA,*), B(LDB,*), C(LDC,*), DWORK(*)
-C     .. Local Scalars ..
-      LOGICAL           LEQUIL, LNJOBC, LNJOBO
-      INTEGER           I, INDCON, ITAU, IZ, JWORK, KL, MAXMP, NCONT,
-     $                  WRKOPT
-      DOUBLE PRECISION  MAXRED
-C     .. External Functions ..
-      LOGICAL           LSAME
-      EXTERNAL          LSAME
-C     .. External Subroutines ..
-      EXTERNAL          AB07MD, TB01ID, TB01UD, TB01XD, XERBLA
-C     .. Intrinsic Functions ..
-      INTRINSIC         INT, MAX, MIN
-C     .. Executable Statements ..
-C
-      INFO = 0
-      MAXMP = MAX( M, P )
-      LNJOBC = .NOT.LSAME( JOB,   'C' )
-      LNJOBO = .NOT.LSAME( JOB,   'O' )
-      LEQUIL =      LSAME( EQUIL, 'S' )
-C
-C     Test the input scalar arguments.
-C
-      IF( LNJOBC .AND. LNJOBO .AND. .NOT.LSAME( JOB, 'M' ) ) THEN
-         INFO = -1
-      ELSE IF( .NOT.LEQUIL .AND. .NOT.LSAME( EQUIL, 'N' ) ) THEN
-         INFO = -2
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( P.LT.0 ) THEN
-         INFO = -5
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -7
-      ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
-         INFO = -9
-      ELSE IF( LDC.LT.1 .OR. ( N.GT.0 .AND. LDC.LT.MAXMP ) ) THEN
-         INFO = -11
-      ELSE IF( LDWORK.LT.MAX( 1, N + MAX( N, 3*MAXMP ) ) ) THEN
-         INFO = -16
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'TB01PD', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF ( N.EQ.0 .OR. ( LNJOBC .AND. MIN( N, P ).EQ.0 ) .OR.
-     $                 ( LNJOBO .AND. MIN( N, M ).EQ.0 ) ) THEN
-         NR = 0
-C
-         DO 5 I = 1, N
-            IWORK(I) = 0
-    5    CONTINUE
-C
-         DWORK(1) = ONE
-         RETURN
-      END IF
-C
-C     If required, balance the triplet (A,B,C) (default MAXRED).
-C     Workspace: need N.
-C
-C     (Note: Comments in the code beginning "Workspace:" describe the
-C     minimal amount of real workspace needed at that point in the code,
-C     as well as the preferred amount for good performance.)
-C
-      IF ( LEQUIL ) THEN
-         MAXRED = ZERO
-         CALL TB01ID( 'A', N, M, P, MAXRED, A, LDA, B, LDB, C, LDC,
-     $                DWORK, INFO )
-         WRKOPT = N
-      ELSE
-         WRKOPT = 1
-      END IF
-C
-      IZ    = 1
-      ITAU  = 1
-      JWORK = ITAU + N
-      IF ( LNJOBO ) THEN
-C
-C        Separate out controllable subsystem (of order NCONT):
-C        A <-- Z'*A*Z,  B <-- Z'*B,  C <-- C*Z.
-C
-C        Workspace: need   N + MAX(N, 3*M, P).
-C                   prefer larger.
-C
-         CALL TB01UD( 'No Z', N, M, P, A, LDA, B, LDB, C, LDC, NCONT,
-     $                INDCON, IWORK, DWORK(IZ), LDIZ, DWORK(ITAU), TOL,
-     $                IWORK(N+1), DWORK(JWORK), LDWORK-JWORK+1, INFO )
-C
-         WRKOPT = INT( DWORK(JWORK) ) + JWORK - 1
-      ELSE
-         NCONT = N
-      END IF
-C
-      IF ( LNJOBC ) THEN
-C
-C        Separate out the observable subsystem (of order NR):
-C        Form the dual of the subsystem of order NCONT (which is
-C        controllable, if JOB = 'M'), leaving rest as it is.
-C
-         CALL AB07MD( 'Z', NCONT, M, P, A, LDA, B, LDB, C, LDC, DWORK,
-     $                1, INFO )
-C
-C        And separate out the controllable part of this dual subsystem.
-C
-C        Workspace: need   NCONT + MAX(NCONT, 3*P, M).
-C                   prefer larger.
-C
-         CALL TB01UD( 'No Z', NCONT, P, M, A, LDA, B, LDB, C, LDC, NR,
-     $                INDCON, IWORK, DWORK(IZ), LDIZ, DWORK(ITAU), TOL,
-     $                IWORK(N+1), DWORK(JWORK), LDWORK-JWORK+1, INFO )
-C
-         WRKOPT = MAX( WRKOPT, INT( DWORK(JWORK) )+JWORK-1 )
-C
-C        Transpose and reorder (to get a block upper Hessenberg
-C        matrix A), giving, for JOB = 'M', the controllable and
-C        observable (i.e., minimal) part of original system.
-C
-         IF( INDCON.GT.0 ) THEN
-            KL = IWORK(1) - 1
-            IF ( INDCON.GE.2 )
-     $         KL = KL + IWORK(2)
-         ELSE
-            KL = 0
-         END IF
-         CALL TB01XD( 'Zero D', NR, P, M, KL, MAX( 0, NR-1 ), A, LDA,
-     $                B, LDB, C, LDC, DWORK, 1, INFO )
-      ELSE
-         NR = NCONT
-      END IF
-C
-C     Annihilate the trailing components of IWORK(1:N).
-C
-      DO 10 I = INDCON + 1, N
-         IWORK(I) = 0
-   10 CONTINUE
-C
-C     Set optimal workspace dimension.
-C
-      DWORK(1) = WRKOPT
-      RETURN
-C *** Last line of TB01PD ***
-      END
--- a/extra/control-devel/devel/dksyn/TB01UD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,491 +0,0 @@
-      SUBROUTINE TB01UD( JOBZ, N, M, P, A, LDA, B, LDB, C, LDC, NCONT,
-     $                   INDCON, NBLK, Z, LDZ, TAU, TOL, IWORK, DWORK,
-     $                   LDWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To find a controllable realization for the linear time-invariant
-C     multi-input system
-C
-C             dX/dt = A * X + B * U,
-C                Y  = C * X,
-C
-C     where A, B, and C are N-by-N, N-by-M, and P-by-N matrices,
-C     respectively, and A and B are reduced by this routine to
-C     orthogonal canonical form using (and optionally accumulating)
-C     orthogonal similarity transformations, which are also applied
-C     to C.  Specifically, the system (A, B, C) is reduced to the
-C     triplet (Ac, Bc, Cc), where Ac = Z' * A * Z, Bc = Z' * B,
-C     Cc = C * Z,  with
-C
-C             [ Acont     *    ]         [ Bcont ]
-C        Ac = [                ],   Bc = [       ],
-C             [   0    Auncont ]         [   0   ]
-C
-C        and
-C
-C                [ A11 A12  . . .  A1,p-1 A1p ]         [ B1 ]
-C                [ A21 A22  . . .  A2,p-1 A2p ]         [ 0  ]
-C                [  0  A32  . . .  A3,p-1 A3p ]         [ 0  ]
-C        Acont = [  .   .   . . .    .     .  ],   Bc = [ .  ],
-C                [  .   .     . .    .     .  ]         [ .  ]
-C                [  .   .       .    .     .  ]         [ .  ]
-C                [  0   0   . . .  Ap,p-1 App ]         [ 0  ]
-C
-C     where the blocks  B1, A21, ..., Ap,p-1  have full row ranks and
-C     p is the controllability index of the pair.  The size of the
-C     block  Auncont is equal to the dimension of the uncontrollable
-C     subspace of the pair (A, B).
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     JOBZ    CHARACTER*1
-C             Indicates whether the user wishes to accumulate in a
-C             matrix Z the orthogonal similarity transformations for
-C             reducing the system, as follows:
-C             = 'N':  Do not form Z and do not store the orthogonal
-C                     transformations;
-C             = 'F':  Do not form Z, but store the orthogonal
-C                     transformations in the factored form;
-C             = 'I':  Z is initialized to the unit matrix and the
-C                     orthogonal transformation matrix Z is returned.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the original state-space representation,
-C             i.e. the order of the matrix A.  N >= 0.
-C
-C     M       (input) INTEGER
-C             The number of system inputs, or of columns of B.  M >= 0.
-C
-C     P       (input) INTEGER
-C             The number of system outputs, or of rows of C.  P >= 0.
-C
-C     A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
-C             On entry, the leading N-by-N part of this array must
-C             contain the original state dynamics matrix A.
-C             On exit, the leading NCONT-by-NCONT part contains the
-C             upper block Hessenberg state dynamics matrix Acont in Ac,
-C             given by Z' * A * Z, of a controllable realization for
-C             the original system. The elements below the first block-
-C             subdiagonal are set to zero. The leading N-by-N part
-C             contains the matrix Ac.
-C
-C     LDA     INTEGER
-C             The leading dimension of array A.  LDA >= MAX(1,N).
-C
-C     B       (input/output) DOUBLE PRECISION array, dimension (LDB,M)
-C             On entry, the leading N-by-M part of this array must
-C             contain the input matrix B.
-C             On exit, the leading NCONT-by-M part of this array
-C             contains the transformed input matrix Bcont in Bc, given
-C             by Z' * B, with all elements but the first block set to
-C             zero. The leading N-by-M part contains the matrix Bc.
-C
-C     LDB     INTEGER
-C             The leading dimension of array B.  LDB >= MAX(1,N).
-C
-C     C       (input/output) DOUBLE PRECISION array, dimension (LDC,N)
-C             On entry, the leading P-by-N part of this array must
-C             contain the output matrix C.
-C             On exit, the leading P-by-N part of this array contains
-C             the transformed output matrix Cc, given by C * Z.
-C
-C     LDC     INTEGER
-C             The leading dimension of array C.  LDC >= MAX(1,P).
-C
-C     NCONT   (output) INTEGER
-C             The order of the controllable state-space representation.
-C
-C     INDCON  (output) INTEGER
-C             The controllability index of the controllable part of the
-C             system representation.
-C
-C     NBLK    (output) INTEGER array, dimension (N)
-C             The leading INDCON elements of this array contain the
-C             the orders of the diagonal blocks of Acont.
-C
-C     Z       (output) DOUBLE PRECISION array, dimension (LDZ,N)
-C             If JOBZ = 'I', then the leading N-by-N part of this
-C             array contains the matrix of accumulated orthogonal
-C             similarity transformations which reduces the given system
-C             to orthogonal canonical form.
-C             If JOBZ = 'F', the elements below the diagonal, with the
-C             array TAU, represent the orthogonal transformation matrix
-C             as a product of elementary reflectors. The transformation
-C             matrix can then be obtained by calling the LAPACK Library
-C             routine DORGQR.
-C             If JOBZ = 'N', the array Z is not referenced and can be
-C             supplied as a dummy array (i.e. set parameter LDZ = 1 and
-C             declare this array to be Z(1,1) in the calling program).
-C
-C     LDZ     INTEGER
-C             The leading dimension of array Z. If JOBZ = 'I' or
-C             JOBZ = 'F', LDZ >= MAX(1,N); if JOBZ = 'N', LDZ >= 1.
-C
-C     TAU     (output) DOUBLE PRECISION array, dimension (N)
-C             The elements of TAU contain the scalar factors of the
-C             elementary reflectors used in the reduction of B and A.
-C
-C     Tolerances
-C
-C     TOL     DOUBLE PRECISION
-C             The tolerance to be used in rank determination when
-C             transforming (A, B). If the user sets TOL > 0, then
-C             the given value of TOL is used as a lower bound for the
-C             reciprocal condition number (see the description of the
-C             argument RCOND in the SLICOT routine MB03OD);  a
-C             (sub)matrix whose estimated condition number is less than
-C             1/TOL is considered to be of full rank.  If the user sets
-C             TOL <= 0, then an implicitly computed, default tolerance,
-C             defined by  TOLDEF = N*N*EPS,  is used instead, where EPS
-C             is the machine precision (see LAPACK Library routine
-C             DLAMCH).
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension (M)
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if INFO = 0, DWORK(1) returns the optimal value
-C             of LDWORK.
-C
-C     LDWORK  INTEGER
-C             The length of the array DWORK.
-C             LDWORK >= MAX(1, N, 3*M, P).
-C             For optimum performance LDWORK should be larger.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value.
-C
-C     METHOD
-C
-C     Matrix B is first QR-decomposed and the appropriate orthogonal
-C     similarity transformation applied to the matrix A. Leaving the
-C     first rank(B) states unchanged, the remaining lower left block
-C     of A is then QR-decomposed and the new orthogonal matrix, Q1,
-C     is also applied to the right of A to complete the similarity
-C     transformation. By continuing in this manner, a completely
-C     controllable state-space pair (Acont, Bcont) is found for the
-C     given (A, B), where Acont is upper block Hessenberg with each
-C     subdiagonal block of full row rank, and Bcont is zero apart from
-C     its (independent) first rank(B) rows.
-C     All orthogonal transformations determined in this process are also
-C     applied to the matrix C, from the right.
-C     NOTE that the system controllability indices are easily
-C     calculated from the dimensions of the blocks of Acont.
-C
-C     REFERENCES
-C
-C     [1] Konstantinov, M.M., Petkov, P.Hr. and Christov, N.D.
-C         Orthogonal Invariants and Canonical Forms for Linear
-C         Controllable Systems.
-C         Proc. 8th IFAC World Congress, Kyoto, 1, pp. 49-54, 1981.
-C
-C     [2] Paige, C.C.
-C         Properties of numerical algorithms related to computing
-C         controllablity.
-C         IEEE Trans. Auto. Contr., AC-26, pp. 130-138, 1981.
-C
-C     [3] Petkov, P.Hr., Konstantinov, M.M., Gu, D.W. and
-C         Postlethwaite, I.
-C         Optimal Pole Assignment Design of Linear Multi-Input Systems.
-C         Leicester University, Report 99-11, May 1996.
-C
-C     NUMERICAL ASPECTS
-C                               3
-C     The algorithm requires 0(N ) operations and is backward stable.
-C
-C     FURTHER COMMENTS
-C
-C     If the system matrices A and B are badly scaled, it would be
-C     useful to scale them with SLICOT routine TB01ID, before calling
-C     the routine.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, Feb. 1998.
-C
-C     REVISIONS
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, May 1999, Nov. 2003.
-C     A. Varga, DLR Oberpfaffenhofen, March 2002, Nov. 2003.
-C
-C     KEYWORDS
-C
-C     Controllability, minimal realization, orthogonal canonical form,
-C     orthogonal transformation.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION  ZERO, ONE
-      PARAMETER         ( ZERO = 0.0D0, ONE = 1.0D0 )
-C     .. Scalar Arguments ..
-      CHARACTER         JOBZ
-      INTEGER           INDCON, INFO, LDA, LDB, LDC, LDWORK, LDZ, M, N,
-     $                  NCONT, P
-      DOUBLE PRECISION  TOL
-C     .. Array Arguments ..
-      DOUBLE PRECISION  A(LDA,*), B(LDB,*), C(LDC,*), DWORK(*), TAU(*),
-     $                  Z(LDZ,*)
-      INTEGER           IWORK(*), NBLK(*)
-C     .. Local Scalars ..
-      LOGICAL           LJOBF, LJOBI, LJOBZ
-      INTEGER           IQR, ITAU, J, MCRT, NBL, NCRT, NI, NJ, RANK,
-     $                  WRKOPT
-      DOUBLE PRECISION  ANORM, BNORM, FNRM, TOLDEF
-C     .. Local Arrays ..
-      DOUBLE PRECISION  SVAL(3)
-C     .. External Functions ..
-      LOGICAL           LSAME
-      DOUBLE PRECISION  DLAMCH, DLANGE, DLAPY2
-      EXTERNAL          DLAMCH, DLANGE, DLAPY2, LSAME
-C     .. External Subroutines ..
-      EXTERNAL          DCOPY, DLACPY, DLAPMT, DLASET, DORGQR, DORMQR,
-     $                  MB01PD, MB03OY, XERBLA
-C     .. Intrinsic Functions ..
-      INTRINSIC         DBLE, INT, MAX, MIN
-C     ..
-C     .. Executable Statements ..
-C
-      INFO = 0
-      LJOBF = LSAME( JOBZ, 'F' )
-      LJOBI = LSAME( JOBZ, 'I' )
-      LJOBZ = LJOBF.OR.LJOBI
-C
-C     Test the input scalar arguments.
-C
-      IF( .NOT.LJOBZ .AND. .NOT.LSAME( JOBZ, 'N' ) ) THEN
-         INFO = -1
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( P.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -6
-      ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
-         INFO = -8
-      ELSE IF( LDC.LT.MAX( 1, P ) ) THEN
-         INFO = -10
-      ELSE IF( .NOT.LJOBZ .AND. LDZ.LT.1 .OR.
-     $              LJOBZ .AND. LDZ.LT.MAX( 1, N ) ) THEN
-         INFO = -15
-      ELSE IF(  LDWORK.LT.MAX( 1, N, 3*M, P ) ) THEN
-         INFO = -20
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'TB01UD', -INFO )
-         RETURN
-      END IF
-C
-      NCONT  = 0
-      INDCON = 0
-C
-C     Calculate the absolute norms of A and B (used for scaling).
-C
-      ANORM = DLANGE( 'M', N, N, A, LDA, DWORK )
-      BNORM = DLANGE( 'M', N, M, B, LDB, DWORK )
-C
-C     Quick return if possible.
-C
-      IF ( MIN( N, M ).EQ.0 .OR. BNORM.EQ.ZERO ) THEN
-         IF( N.GT.0 ) THEN
-            IF ( LJOBI ) THEN
-               CALL DLASET( 'Full', N, N, ZERO, ONE, Z, LDZ )
-            ELSE IF ( LJOBF ) THEN
-               CALL DLASET( 'Full', N, N, ZERO, ZERO, Z, LDZ )
-               CALL DLASET( 'Full', N, 1, ZERO, ZERO, TAU, N )
-            END IF
-         END IF
-         DWORK(1) = ONE
-         RETURN
-      END IF
-C
-C     Scale (if needed) the matrices A and B.
-C
-      CALL MB01PD( 'S', 'G', N, N, 0, 0, ANORM, 0, NBLK, A, LDA, INFO )
-      CALL MB01PD( 'S', 'G', N, M, 0, 0, BNORM, 0, NBLK, B, LDB, INFO )
-C
-C     Compute the Frobenius norm of [ B  A ] (used for rank estimation).
-C
-      FNRM = DLAPY2( DLANGE( 'F', N, M, B, LDB, DWORK ),
-     $               DLANGE( 'F', N, N, A, LDA, DWORK ) )
-C
-      TOLDEF = TOL
-      IF ( TOLDEF.LE.ZERO ) THEN
-C
-C        Use the default tolerance in controllability determination.
-C
-         TOLDEF = DBLE( N*N )*DLAMCH( 'EPSILON' )
-      END IF
-C
-      IF ( FNRM.LT.TOLDEF )
-     $   FNRM = ONE
-C
-      WRKOPT = 1
-      NI = 0
-      ITAU = 1
-      NCRT = N
-      MCRT = M
-      IQR  = 1
-C
-C     (Note: Comments in the code beginning "Workspace:" describe the
-C     minimal amount of real workspace needed at that point in the
-C     code, as well as the preferred amount for good performance.
-C     NB refers to the optimal block size for the immediately
-C     following subroutine, as returned by ILAENV.)
-C
-   10 CONTINUE
-C
-C        Rank-revealing QR decomposition with column pivoting.
-C        The calculation is performed in NCRT rows of B starting from
-C        the row IQR (initialized to 1 and then set to rank(B)+1).
-C        Workspace: 3*MCRT.
-C
-         CALL MB03OY( NCRT, MCRT, B(IQR,1), LDB, TOLDEF, FNRM, RANK,
-     $                SVAL, IWORK, TAU(ITAU), DWORK, INFO )
-C
-         IF ( RANK.NE.0 ) THEN
-            NJ = NI
-            NI = NCONT
-            NCONT = NCONT + RANK
-            INDCON = INDCON + 1
-            NBLK(INDCON) = RANK
-C
-C           Premultiply and postmultiply the appropriate block row
-C           and block column of A by Q' and Q, respectively.
-C           Workspace: need   NCRT;
-C                      prefer NCRT*NB.
-C
-            CALL DORMQR( 'Left', 'Transpose', NCRT, NCRT, RANK,
-     $                   B(IQR,1), LDB, TAU(ITAU), A(NI+1,NI+1), LDA,
-     $                   DWORK, LDWORK, INFO )
-            WRKOPT = MAX( WRKOPT, INT( DWORK(1) ) )
-C
-C           Workspace: need   N;
-C                      prefer N*NB.
-C
-            CALL DORMQR( 'Right', 'No transpose', N, NCRT, RANK,
-     $                   B(IQR,1), LDB, TAU(ITAU), A(1,NI+1), LDA,
-     $                   DWORK, LDWORK, INFO )
-            WRKOPT = MAX( WRKOPT, INT( DWORK(1) ) )
-C
-C           Postmultiply the appropriate block column of C by Q.
-C           Workspace: need   P;
-C                      prefer P*NB.
-C
-            CALL DORMQR( 'Right', 'No transpose', P, NCRT, RANK,
-     $                   B(IQR,1), LDB, TAU(ITAU), C(1,NI+1), LDC,
-     $                   DWORK, LDWORK, INFO )
-            WRKOPT = MAX( WRKOPT, INT( DWORK(1) ) )
-C
-C           If required, save transformations.
-C
-            IF ( LJOBZ.AND.NCRT.GT.1 ) THEN
-               CALL DLACPY( 'L', NCRT-1, MIN( RANK, NCRT-1 ),
-     $                      B(IQR+1,1), LDB, Z(NI+2,ITAU), LDZ )
-            END IF
-C
-C           Zero the subdiagonal elements of the current matrix.
-C
-            IF ( RANK.GT.1 )
-     $         CALL DLASET( 'L', RANK-1, RANK-1, ZERO, ZERO, B(IQR+1,1),
-     $                      LDB )
-C
-C           Backward permutation of the columns of B or A.
-C
-            IF ( INDCON.EQ.1 ) THEN
-               CALL DLAPMT( .FALSE., RANK, M, B(IQR,1), LDB, IWORK )
-               IQR = RANK + 1
-            ELSE
-               DO 20 J = 1, MCRT
-                  CALL DCOPY( RANK, B(IQR,J), 1, A(NI+1,NJ+IWORK(J)),
-     $                        1 )
-   20          CONTINUE
-            END IF
-C
-            ITAU = ITAU + RANK
-            IF ( RANK.NE.NCRT ) THEN
-               MCRT = RANK
-               NCRT = NCRT - RANK
-               CALL DLACPY( 'G', NCRT, MCRT, A(NCONT+1,NI+1), LDA,
-     $                      B(IQR,1), LDB )
-               CALL DLASET( 'G', NCRT, MCRT, ZERO, ZERO,
-     $                      A(NCONT+1,NI+1), LDA )
-               GO TO 10
-            END IF
-         END IF
-C
-C     If required, accumulate transformations.
-C     Workspace: need N;  prefer N*NB.
-C
-      IF ( LJOBI ) THEN
-         CALL DORGQR( N, N, ITAU-1, Z, LDZ, TAU, DWORK,
-     $                LDWORK, INFO )
-         WRKOPT = MAX( WRKOPT, INT( DWORK(1) ) )
-      END IF
-C
-C     Annihilate the trailing blocks of B.
-C
-      IF( IQR.LE.N )
-     $   CALL DLASET( 'G', N-IQR+1, M, ZERO, ZERO, B(IQR,1), LDB )
-C
-C     Annihilate the trailing elements of TAU, if JOBZ = 'F'.
-C
-      IF ( LJOBF ) THEN
-         DO 30 J = ITAU, N
-            TAU(J) = ZERO
-   30    CONTINUE
-      END IF
-C
-C     Undo scaling of A and B.
-C
-      IF ( INDCON.LT.N ) THEN
-         NBL = INDCON + 1
-         NBLK(NBL) = N - NCONT
-      ELSE
-         NBL = 0
-      END IF
-      CALL MB01PD( 'U', 'H', N, N, 0, 0, ANORM, NBL, NBLK, A, LDA,
-     $             INFO )
-      CALL MB01PD( 'U', 'G', NBLK(1), M, 0, 0, BNORM, 0, NBLK, B, LDB,
-     $             INFO )
-C
-C     Set optimal workspace dimension.
-C
-      DWORK(1) = WRKOPT
-      RETURN
-C *** Last line of TB01UD ***
-      END
--- a/extra/control-devel/devel/dksyn/TB01XD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,284 +0,0 @@
-      SUBROUTINE TB01XD( JOBD, N, M, P, KL, KU, A, LDA, B, LDB, C, LDC,
-     $                   D, LDD, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To apply a special transformation to a system given as a triple
-C     (A,B,C),
-C
-C        A <-- P * A' * P,  B <-- P * C',  C <-- B' * P,
-C
-C     where P is a matrix with 1 on the secondary diagonal, and with 0
-C     in the other entries. Matrix A can be specified as a band matrix.
-C     Optionally, matrix D of the system can be transposed. This
-C     transformation is actually a special similarity transformation of
-C     the dual system.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     JOBD    CHARACTER*1
-C             Specifies whether or not a non-zero matrix D appears in
-C             the given state space model:
-C             = 'D':  D is present;
-C             = 'Z':  D is assumed a zero matrix.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The order of the matrix A, the number of rows of matrix B
-C             and the number of columns of matrix C.
-C             N represents the dimension of the state vector.  N >= 0.
-C
-C     M       (input) INTEGER.
-C             The number of columns of matrix B.
-C             M represents the dimension of input vector.  M >= 0.
-C
-C     P       (input) INTEGER.
-C             The number of rows of matrix C.
-C             P represents the dimension of output vector.  P >= 0.
-C
-C     KL      (input) INTEGER
-C             The number of subdiagonals of A to be transformed.
-C             MAX( 0, N-1 ) >= KL >= 0.
-C
-C     KU      (input) INTEGER
-C             The number of superdiagonals of A to be transformed.
-C             MAX( 0, N-1 ) >= KU >= 0.
-C
-C     A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
-C             On entry, the leading N-by-N part of this array must
-C             contain the system state matrix A.
-C             On exit, the leading N-by-N part of this array contains
-C             the transformed (pertransposed) matrix P*A'*P.
-C
-C     LDA     INTEGER
-C             The leading dimension of the array A.  LDA >= MAX(1,N).
-C
-C     B       (input/output) DOUBLE PRECISION array, dimension
-C             (LDB,MAX(M,P))
-C             On entry, the leading N-by-M part of this array must
-C             contain the original input/state matrix B.
-C             On exit, the leading N-by-P part of this array contains
-C             the dual input/state matrix P*C'.
-C
-C     LDB     INTEGER
-C             The leading dimension of the array B.
-C             LDB >= MAX(1,N) if M > 0 or  P > 0.
-C             LDB >= 1        if M = 0 and P = 0.
-C
-C     C       (input/output) DOUBLE PRECISION array, dimension (LDC,N)
-C             On entry, the leading P-by-N part of this array must
-C             contain the original state/output matrix C.
-C             On exit, the leading M-by-N part of this array contains
-C             the dual state/output matrix B'*P.
-C
-C     LDC     INTEGER
-C             The leading dimension of array C.
-C             LDC >= MAX(1,M,P) if N > 0.
-C             LDC >= 1          if N = 0.
-C
-C     D       (input/output) DOUBLE PRECISION array, dimension
-C             (LDD,MAX(M,P))
-C             On entry, if JOBD = 'D', the leading P-by-M part of this
-C             array must contain the original direct transmission
-C             matrix D.
-C             On exit, if JOBD = 'D', the leading M-by-P part of this
-C             array contains the transposed direct transmission matrix
-C             D'. The array D is not referenced if JOBD = 'Z'.
-C
-C     LDD     INTEGER
-C             The leading dimension of array D.
-C             LDD >= MAX(1,M,P) if JOBD = 'D'.
-C             LDD >= 1          if JOBD = 'Z'.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit.
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value.
-C
-C     METHOD
-C
-C     The rows and/or columns of the matrices of the triplet (A,B,C)
-C     and, optionally, of the matrix D are swapped in a special way.
-C
-C     NUMERICAL ASPECTS
-C
-C     None.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, Feb. 1998.
-C     Partly based on routine DMPTR (A. Varga, German Aerospace
-C     Research Establishment, DLR, Aug. 1992).
-C
-C
-C     REVISIONS
-C
-C     07-31-1998, 04-25-1999, A. Varga.
-C     03-16-2004, V. Sima.
-C
-C     KEYWORDS
-C
-C     Matrix algebra, matrix operations, similarity transformation.
-C
-C  *********************************************************************
-C
-C     ..
-C     .. Scalar Arguments ..
-      CHARACTER          JOBD
-      INTEGER            INFO, KL, KU, LDA, LDB, LDC, LDD, M, N, P
-C     ..
-C     .. Array Arguments ..
-      DOUBLE PRECISION   A( LDA, * ), B( LDB, * ), C( LDC, * ),
-     $                   D( LDD, * )
-C     ..
-C     .. Local Scalars ..
-      LOGICAL            LJOBD
-      INTEGER            J, J1, LDA1, MAXMP, MINMP, NM1
-C     ..
-C     .. External functions ..
-      LOGICAL            LSAME
-      EXTERNAL           LSAME
-C     ..
-C     .. External Subroutines ..
-      EXTERNAL           DCOPY, DSWAP, XERBLA
-C     ..
-C     .. Intrinsic Functions ..
-      INTRINSIC          MAX, MIN
-C     ..
-C     .. Executable Statements ..
-C
-C     Test the scalar input arguments.
-C
-      INFO  = 0
-      LJOBD = LSAME( JOBD, 'D' )
-      MAXMP = MAX( M, P )
-      MINMP = MIN( M, P )
-      NM1   = N - 1
-C
-      IF( .NOT.LJOBD .AND. .NOT.LSAME( JOBD, 'Z' )  ) THEN
-         INFO = -1
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( P.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( KL.LT.0 .OR. KL.GT.MAX( 0, NM1 ) ) THEN
-         INFO = -5
-      ELSE IF( KU.LT.0 .OR. KU.GT.MAX( 0, NM1 ) ) THEN
-         INFO = -6
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -8
-      ELSE IF( ( MAXMP.GT.0 .AND. LDB.LT.MAX( 1, N ) ) .OR.
-     $         ( MINMP.EQ.0 .AND. LDB.LT.1 ) ) THEN
-         INFO = -10
-      ELSE IF( LDC.LT.1 .OR. ( N.GT.0 .AND. LDC.LT.MAXMP ) ) THEN
-         INFO = -12
-      ELSE IF( LDD.LT.1 .OR. ( LJOBD  .AND. LDD.LT.MAXMP ) ) THEN
-         INFO = -14
-      END IF
-C
-      IF( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'TB01XD', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF ( LJOBD ) THEN
-C
-C        Replace D by D', if non-scalar.
-C
-         DO 5 J = 1, MAXMP
-            IF ( J.LT.MINMP ) THEN
-               CALL DSWAP( MINMP-J, D(J+1,J), 1, D(J,J+1), LDD )
-            ELSE IF ( J.GT.P ) THEN
-               CALL DCOPY( P, D(1,J), 1, D(J,1), LDD )
-            ELSE IF ( J.GT.M ) THEN
-               CALL DCOPY( M, D(J,1), LDD, D(1,J), 1 )
-            END IF
-    5    CONTINUE
-C
-      END IF
-C
-      IF( N.EQ.0 )
-     $   RETURN
-C
-C     Replace matrix A by P*A'*P.
-C
-      IF ( KL.EQ.NM1 .AND. KU.EQ.NM1 ) THEN
-C
-C        Full matrix A.
-C
-         DO 10 J = 1, NM1
-            CALL DSWAP( N-J, A( 1, J ), 1, A( N-J+1, J+1 ), -LDA )
-   10    CONTINUE
-C
-      ELSE
-C
-C        Band matrix A.
-C
-         LDA1 = LDA + 1
-C
-C        Pertranspose the KL subdiagonals.
-C
-         DO 20 J = 1, MIN( KL, N-2 )
-            J1 = ( N - J )/2
-            CALL DSWAP( J1, A(J+1,1), LDA1, A(N-J1+1,N-J1+1-J), -LDA1 )
-   20    CONTINUE
-C
-C        Pertranspose the KU superdiagonals.
-C
-         DO 30 J = 1, MIN( KU, N-2 )
-            J1 = ( N - J )/2
-            CALL DSWAP( J1, A(1,J+1), LDA1, A(N-J1+1-J,N-J1+1), -LDA1 )
-   30    CONTINUE
-C
-C        Pertranspose the diagonal.
-C
-         J1 = N/2
-         CALL DSWAP( J1, A(1,1), LDA1, A(N-J1+1,N-J1+1), -LDA1 )
-C
-      END IF
-C
-C     Replace matrix B by P*C' and matrix C by B'*P.
-C
-      DO 40 J = 1, MAXMP
-         IF ( J.LE.MINMP ) THEN
-            CALL DSWAP( N, B(1,J), 1, C(J,1), -LDC )
-         ELSE IF ( J.GT.P ) THEN
-            CALL DCOPY( N, B(1,J), 1, C(J,1), -LDC )
-         ELSE
-            CALL DCOPY( N, C(J,1), -LDC, B(1,J), 1 )
-         END IF
-   40 CONTINUE
-C
-      RETURN
-C *** Last line of TB01XD ***
-      END
--- a/extra/control-devel/devel/dksyn/TB05AD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,545 +0,0 @@
-      SUBROUTINE TB05AD( BALEIG, INITA, N, M, P, FREQ, A, LDA, B, LDB,
-     $                   C, LDC, RCOND, G, LDG, EVRE, EVIM, HINVB,
-     $                   LDHINV, IWORK, DWORK, LDWORK, ZWORK, LZWORK,
-     $                   INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To find the complex frequency response matrix (transfer matrix)
-C     G(freq) of the state-space representation (A,B,C) given by
-C                                   -1
-C        G(freq) = C * ((freq*I - A)  ) * B
-C
-C     where A, B and C are real N-by-N, N-by-M and P-by-N matrices
-C     respectively and freq is a complex scalar.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     BALEIG  CHARACTER*1
-C             Determines whether the user wishes to balance matrix A
-C             and/or compute its eigenvalues and/or estimate the
-C             condition number of the problem as follows:
-C             = 'N':  The matrix A should not be balanced and neither
-C                     the eigenvalues of A nor the condition number
-C                     estimate of the problem are to be calculated;
-C             = 'C':  The matrix A should not be balanced and only an
-C                     estimate of the condition number of the problem
-C                     is to be calculated;
-C             = 'B' or 'E' and INITA = 'G':  The matrix A is to be
-C                     balanced and its eigenvalues calculated;
-C             = 'A' and INITA = 'G':  The matrix A is to be balanced,
-C                     and its eigenvalues and an estimate of the
-C                     condition number of the problem are to be
-C                     calculated.
-C
-C     INITA   CHARACTER*1
-C             Specifies whether or not the matrix A is already in upper
-C             Hessenberg form as follows:
-C             = 'G':  The matrix A is a general matrix;
-C             = 'H':  The matrix A is in upper Hessenberg form and
-C                     neither balancing nor the eigenvalues of A are
-C                     required.
-C             INITA must be set to 'G' for the first call to the
-C             routine, unless the matrix A is already in upper
-C             Hessenberg form and neither balancing nor the eigenvalues
-C             of A are required. Thereafter, it must be set to 'H' for
-C             all subsequent calls.
-C
-C     Input/Output Parameters
-C
-C     N       (input) INTEGER
-C             The number of states, i.e. the order of the state
-C             transition matrix A.  N >= 0.
-C
-C     M       (input) INTEGER
-C             The number of inputs, i.e. the number of columns in the
-C             matrix B.  M >= 0.
-C
-C     P       (input) INTEGER
-C             The number of outputs, i.e. the number of rows in the
-C             matrix C.  P >= 0.
-C
-C     FREQ    (input) COMPLEX*16
-C             The frequency freq at which the frequency response matrix
-C             (transfer matrix) is to be evaluated.
-C
-C     A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
-C             On entry, the leading N-by-N part of this array must
-C             contain the state transition matrix A.
-C             If INITA = 'G', then, on exit, the leading N-by-N part of
-C             this array contains an upper Hessenberg matrix similar to
-C             (via an orthogonal matrix consisting of a sequence of
-C             Householder transformations) the original state transition
-C             matrix A.
-C
-C     LDA     INTEGER
-C             The leading dimension of array A.  LDA >= MAX(1,N).
-C
-C     B       (input/output) DOUBLE PRECISION array, dimension (LDB,M)
-C             On entry, the leading N-by-M part of this array must
-C             contain the input/state matrix B.
-C             If INITA = 'G', then, on exit, the leading N-by-M part of
-C             this array contains the product of the transpose of the
-C             orthogonal transformation matrix used to reduce A to upper
-C             Hessenberg form and the original input/state matrix B.
-C
-C     LDB     INTEGER
-C             The leading dimension of array B.  LDB >= MAX(1,N).
-C
-C     C       (input/output) DOUBLE PRECISION array, dimension (LDC,N)
-C             On entry, the leading P-by-N part of this array must
-C             contain the state/output matrix C.
-C             If INITA = 'G', then, on exit, the leading P-by-N part of
-C             this array contains the product of the original output/
-C             state matrix C and the orthogonal transformation matrix
-C             used to reduce A to upper Hessenberg form.
-C
-C     LDC     INTEGER
-C             The leading dimension of array C.  LDC >= MAX(1,P).
-C
-C     RCOND   (output) DOUBLE PRECISION
-C             If BALEIG = 'C' or BALEIG = 'A', then RCOND contains an
-C             estimate of the reciprocal of the condition number of
-C             matrix H with respect to inversion (see METHOD).
-C
-C     G       (output) COMPLEX*16 array, dimension (LDG,M)
-C             The leading P-by-M part of this array contains the
-C             frequency response matrix G(freq).
-C
-C     LDG     INTEGER
-C             The leading dimension of array G.  LDG >= MAX(1,P).
-C
-C     EVRE,   (output) DOUBLE PRECISION arrays, dimension (N)
-C     EVIM    If INITA = 'G' and BALEIG = 'B' or 'E' or BALEIG = 'A',
-C             then these arrays contain the real and imaginary parts,
-C             respectively, of the eigenvalues of the matrix A.
-C             Otherwise, these arrays are not referenced.
-C
-C     HINVB   (output) COMPLEX*16 array, dimension (LDHINV,M)
-C             The leading N-by-M part of this array contains the
-C                      -1
-C             product H  B.
-C
-C     LDHINV  INTEGER
-C             The leading dimension of array HINVB.  LDHINV >= MAX(1,N).
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension (N)
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if INFO = 0, DWORK(1) returns the optimal value
-C             of LDWORK.
-C
-C     LDWORK  INTEGER
-C             The length of the array DWORK.
-C             LDWORK >= MAX(1, N - 1 + MAX(N,M,P)),
-C                       if INITA = 'G' and BALEIG = 'N', or 'B', or 'E';
-C             LDWORK >= MAX(1, N + MAX(N,M-1,P-1)),
-C                       if INITA = 'G' and BALEIG = 'C', or 'A';
-C             LDWORK >= MAX(1, 2*N),
-C                       if INITA = 'H' and BALEIG = 'C', or 'A';
-C             LDWORK >= 1, otherwise.
-C             For optimum performance when INITA = 'G' LDWORK should be
-C             larger.
-C
-C     ZWORK   COMPLEX*16 array, dimension (LZWORK)
-C
-C     LZWORK  INTEGER
-C             The length of the array ZWORK.
-C             LZWORK >= MAX(1,N*N+2*N), if BALEIG = 'C', or 'A';
-C             LZWORK >= MAX(1,N*N),     otherwise.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             = 1:  if more than 30*N iterations are required to
-C                   isolate all the eigenvalues of the matrix A; the
-C                   computations are continued;
-C             = 2:  if either FREQ is too near to an eigenvalue of the
-C                   matrix A, or RCOND is less than EPS, where EPS is
-C                   the machine  precision (see LAPACK Library routine
-C                   DLAMCH).
-C
-C     METHOD
-C
-C     The matrix A is first balanced (if BALEIG = 'B' or 'E', or
-C     BALEIG = 'A') and then reduced to upper Hessenberg form; the same
-C     transformations are applied to the matrix B and the matrix C.
-C     The complex Hessenberg matrix  H = (freq*I - A) is then used
-C                       -1
-C     to solve for C * H  * B.
-C
-C     Depending on the input values of parameters BALEIG and INITA,
-C     the eigenvalues of matrix A and the condition number of
-C     matrix H with respect to inversion are also calculated.
-C
-C     REFERENCES
-C
-C     [1] Laub, A.J.
-C         Efficient Calculation of Frequency Response Matrices from
-C         State-Space Models.
-C         ACM TOMS, 12, pp. 26-33, 1986.
-C
-C     NUMERICAL ASPECTS
-C                               3
-C     The algorithm requires 0(N ) operations.
-C
-C     CONTRIBUTOR
-C
-C     Release 3.0: V. Sima, Katholieke Univ. Leuven, Belgium, Dec. 1996.
-C     Supersedes Release 2.0 routine TB01FD by A.J.Laub, University of
-C     Southern California, Los Angeles, CA 90089, United States of
-C     America, June 1982.
-C
-C     REVISIONS
-C
-C     V. Sima, February 22, 1998 (changed the name of TB01RD).
-C     V. Sima, February 12, 1999, August 7, 2003.
-C     A. Markovski, Technical University of Sofia, September 30, 2003.
-C     V. Sima, October 1, 2003.
-C
-C     KEYWORDS
-C
-C     Frequency response, Hessenberg form, matrix algebra, input output
-C     description, multivariable system, orthogonal transformation,
-C     similarity transformation, state-space representation, transfer
-C     matrix.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION  ZERO, ONE
-      PARAMETER         ( ZERO = 0.0D0, ONE = 1.0D0 )
-      COMPLEX*16        CZERO
-      PARAMETER         ( CZERO = ( 0.0D0, 0.0D0 ) )
-C     .. Scalar Arguments ..
-      CHARACTER         BALEIG, INITA
-      INTEGER           INFO, LDA, LDB, LDC, LDG, LDHINV, LDWORK,
-     $                  LZWORK, M, N, P
-      DOUBLE PRECISION  RCOND
-      COMPLEX*16        FREQ
-C     .. Array Arguments ..
-      INTEGER           IWORK(*)
-      DOUBLE PRECISION  A(LDA,*), B(LDB,*), C(LDC,*), DWORK(*), EVIM(*),
-     $                  EVRE(*)
-      COMPLEX*16        ZWORK(*), G(LDG,*), HINVB(LDHINV,*)
-C     .. Local Scalars ..
-      CHARACTER         BALANC
-      LOGICAL           LBALBA, LBALEA, LBALEB, LBALEC, LINITA
-      INTEGER           I, IGH, IJ, ITAU, J, JJ, JP, JWORK, K, LOW,
-     $                  WRKOPT
-      DOUBLE PRECISION  HNORM, T
-C     .. External Functions ..
-      LOGICAL           LSAME
-      DOUBLE PRECISION  DASUM, DLAMCH
-      EXTERNAL          DASUM, DLAMCH, LSAME
-C     .. External Subroutines ..
-      EXTERNAL          DGEBAL, DGEHRD, DHSEQR, DORMHR, DSCAL, DSWAP,
-     $                  MB02RZ, MB02SZ, MB02TZ, XERBLA, ZLASET
-C     .. Intrinsic Functions ..
-      INTRINSIC         DBLE, DCMPLX, INT, MAX, MIN
-C     .. Executable Statements ..
-C
-      INFO = 0
-      LBALEC = LSAME( BALEIG, 'C' )
-      LBALEB = LSAME( BALEIG, 'B' ) .OR. LSAME( BALEIG, 'E' )
-      LBALEA = LSAME( BALEIG, 'A' )
-      LBALBA = LBALEB.OR.LBALEA
-      LINITA = LSAME( INITA,  'G' )
-C
-C     Test the input scalar arguments.
-C
-      IF( .NOT.LBALEC .AND. .NOT.LBALBA .AND.
-     $    .NOT.LSAME( BALEIG, 'N' ) ) THEN
-         INFO = -1
-      ELSE IF( .NOT.LINITA .AND. .NOT.LSAME( INITA, 'H' ) ) THEN
-         INFO = -2
-      ELSE IF( N.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -4
-      ELSE IF( P.LT.0 ) THEN
-         INFO = -5
-      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
-         INFO = -8
-      ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
-         INFO = -10
-      ELSE IF( LDC.LT.MAX( 1, P ) ) THEN
-         INFO = -12
-      ELSE IF( LDG.LT.MAX( 1, P ) ) THEN
-         INFO = -15
-      ELSE IF( LDHINV.LT.MAX( 1, N ) ) THEN
-         INFO = -19
-      ELSE IF( ( LINITA .AND. .NOT.LBALEC .AND. .NOT.LBALEA .AND.
-     $           LDWORK.LT.N - 1 + MAX( N, M, P ) ) .OR.
-     $         ( LINITA .AND. ( LBALEC .OR. LBALEA ) .AND.
-     $           LDWORK.LT.N + MAX( N, M-1, P-1 ) ) .OR.
-     $         ( .NOT.LINITA .AND. ( LBALEC .OR. LBALEA ) .AND.
-     $           LDWORK.LT.2*N ) .OR. ( LDWORK.LT.1 ) ) THEN
-         INFO = -22
-      ELSE IF( ( ( LBALEC .OR. LBALEA ) .AND. LZWORK.LT.N*( N + 2 ) )
-     $      .OR. ( LZWORK.LT.MAX( 1, N*N ) ) ) THEN
-         INFO = -24
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return
-C
-         CALL XERBLA( 'TB05AD', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF ( N.EQ.0 ) THEN
-         IF ( MIN( M, P ).GT.0 )
-     $      CALL ZLASET( 'Full', P, M, CZERO, CZERO, G, LDG )
-         RCOND = ONE
-         DWORK(1) = ONE
-         RETURN
-      END IF
-C
-C     (Note: Comments in the code beginning "Workspace:" describe the
-C     minimal amount of real workspace needed at that point in the
-C     code, as well as the preferred amount for good performance.
-C     NB refers to the optimal block size for the immediately
-C     following subroutine, as returned by ILAENV.)
-C
-      WRKOPT = 1
-C
-      IF ( LINITA ) THEN
-         BALANC = 'N'
-         IF ( LBALBA ) BALANC = 'B'
-C
-C        Workspace: need N.
-C
-         CALL DGEBAL( BALANC, N, A, LDA, LOW, IGH, DWORK, INFO )
-         IF ( LBALBA ) THEN
-C
-C           Adjust B and C matrices based on information in the
-C           vector DWORK which describes the balancing of A and is
-C           defined in the subroutine DGEBAL.
-C
-            DO 10 J = 1, N
-               JJ = J
-               IF ( JJ.LT.LOW .OR. JJ.GT.IGH ) THEN
-                  IF ( JJ.LT.LOW ) JJ = LOW - JJ
-                  JP = DWORK(JJ)
-                  IF ( JP.NE.JJ ) THEN
-C
-C                    Permute rows of B.
-C
-                     IF ( M.GT.0 )
-     $                  CALL DSWAP( M, B(JJ,1), LDB, B(JP,1), LDB )
-C
-C                    Permute columns of C.
-C
-                     IF ( P.GT.0 )
-     $                  CALL DSWAP( P, C(1,JJ), 1, C(1,JP), 1 )
-                  END IF
-               END IF
-   10       CONTINUE
-C
-            IF ( IGH.NE.LOW ) THEN
-C
-               DO 20 J = LOW, IGH
-                  T = DWORK(J)
-C
-C                 Scale rows of permuted B.
-C
-                  IF ( M.GT.0 )
-     $               CALL DSCAL( M, ONE/T, B(J,1), LDB )
-C
-C                 Scale columns of permuted C.
-C
-                  IF ( P.GT.0 )
-     $               CALL DSCAL( P, T, C(1,J), 1 )
-   20          CONTINUE
-C
-            END IF
-         END IF
-C
-C        Reduce A to Hessenberg form by orthogonal similarities and
-C        accumulate the orthogonal transformations into B and C.
-C        Workspace: need 2*N - 1;  prefer N - 1 + N*NB.
-C
-         ITAU = 1
-         JWORK = ITAU + N - 1
-         CALL DGEHRD( N, LOW, IGH, A, LDA, DWORK(ITAU), DWORK(JWORK),
-     $                LDWORK-JWORK+1, INFO )
-         WRKOPT = MAX( WRKOPT, INT( DWORK(JWORK) )+JWORK-1 )
-C
-C        Workspace: need N - 1 + M;  prefer N - 1 + M*NB.
-C
-         CALL DORMHR( 'Left', 'Transpose', N, M, LOW, IGH, A, LDA,
-     $                DWORK(ITAU), B, LDB, DWORK(JWORK), LDWORK-JWORK+1,
-     $                INFO )
-         WRKOPT = MAX( WRKOPT, INT( DWORK(JWORK) )+JWORK-1 )
-C
-C        Workspace: need N - 1 + P;  prefer N - 1 + P*NB.
-C
-         CALL DORMHR( 'Right', 'No transpose', P, N, LOW, IGH, A, LDA,
-     $                DWORK(ITAU), C, LDC, DWORK(JWORK), LDWORK-JWORK+1,
-     $                INFO )
-         WRKOPT = MAX( WRKOPT, INT( DWORK(JWORK) )+JWORK-1 )
-         IF ( LBALBA ) THEN
-C
-C           Temporarily store Hessenberg form of A in array ZWORK.
-C
-            IJ = 0
-            DO 40 J = 1, N
-C
-               DO 30 I = 1, N
-                  IJ = IJ + 1
-                  ZWORK(IJ) = DCMPLX( A(I,J), ZERO )
-   30          CONTINUE
-C
-   40       CONTINUE
-C
-C           Compute the eigenvalues of A if that option is requested.
-C           Workspace: need N.
-C
-            CALL DHSEQR( 'Eigenvalues', 'No Schur', N, LOW, IGH, A, LDA,
-     $                   EVRE, EVIM, DWORK, 1, DWORK, LDWORK, INFO )
-C
-C           Restore upper Hessenberg form of A.
-C
-            IJ = 0
-            DO 60 J = 1, N
-C
-               DO 50 I = 1, N
-                  IJ = IJ + 1
-                  A(I,J) = DBLE( ZWORK(IJ) )
-   50          CONTINUE
-C
-   60       CONTINUE
-C
-            IF ( INFO.GT.0 ) THEN
-C
-C              DHSEQR could not evaluate the eigenvalues of A.
-C
-               INFO = 1
-            END IF
-         END IF
-      END IF
-C
-C     Update  H := (FREQ * I) - A   with appropriate value of FREQ.
-C
-      IJ = 0
-      JJ = 1
-      DO 80 J = 1, N
-C
-         DO 70 I = 1, N
-            IJ = IJ + 1
-            ZWORK(IJ) = -DCMPLX( A(I,J), ZERO )
-   70    CONTINUE
-C
-         ZWORK(JJ) = FREQ + ZWORK(JJ)
-         JJ = JJ + N + 1
-   80 CONTINUE
-C
-      IF ( LBALEC .OR. LBALEA ) THEN
-C
-C        Efficiently compute the 1-norm of the matrix for condition
-C        estimation.
-C
-         HNORM = ZERO
-         JJ = 1
-C
-         DO 90 J = 1, N
-            T = ABS( ZWORK(JJ) ) + DASUM( J-1, A(1,J), 1 )
-            IF ( J.LT.N ) T = T + ABS( A(J+1,J) )
-            HNORM = MAX( HNORM, T )
-            JJ = JJ + N + 1
-   90    CONTINUE
-C
-      END IF
-C
-C     Factor the complex Hessenberg matrix.
-C
-      CALL MB02SZ( N, ZWORK, N, IWORK, INFO )
-      IF ( INFO.NE.0 ) INFO = 2
-C
-      IF ( LBALEC .OR. LBALEA ) THEN
-C
-C        Estimate the condition of the matrix.
-C
-C        Workspace: need 2*N.
-C
-         CALL MB02TZ( '1-norm', N, HNORM, ZWORK, N, IWORK, RCOND, DWORK,
-     $                ZWORK(N*N+1), INFO )
-         WRKOPT = MAX( WRKOPT, 2*N )
-         IF ( RCOND.LT.DLAMCH( 'Epsilon' ) ) INFO = 2
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return: Linear system is numerically or exactly singular.
-C
-         RETURN
-      END IF
-C
-C     Compute  (H-INVERSE)*B.
-C
-      DO 110 J = 1, M
-C
-         DO 100 I = 1, N
-            HINVB(I,J) = DCMPLX( B(I,J), ZERO )
-  100    CONTINUE
-C
-  110 CONTINUE
-C
-      CALL MB02RZ( 'No transpose', N, M, ZWORK, N, IWORK, HINVB, LDHINV,
-     $             INFO )
-C
-C     Compute  C*(H-INVERSE)*B.
-C
-      DO 150 J = 1, M
-C
-         DO 120 I = 1, P
-            G(I,J) = CZERO
-  120    CONTINUE
-C
-         DO 140 K = 1, N
-C
-            DO 130 I = 1, P
-               G(I,J) = G(I,J) + DCMPLX( C(I,K), ZERO )*HINVB(K,J)
-  130       CONTINUE
-C
-  140    CONTINUE
-C
-  150 CONTINUE
-C
-C     G now contains the desired frequency response matrix.
-C     Set the optimal workspace.
-C
-      DWORK(1) = WRKOPT
-C
-      RETURN
-C *** Last line of TB05AD ***
-      END
--- a/extra/control-devel/devel/dksyn/TD03AY.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,171 +0,0 @@
-      SUBROUTINE TD03AY( MWORK, PWORK, INDEX, DCOEFF, LDDCOE, UCOEFF,
-     $                   LDUCO1, LDUCO2, N, A, LDA, B, LDB, C, LDC, D,
-     $                   LDD, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     Calculates a state-space representation for a (PWORK x MWORK)
-C     transfer matrix given in the form of polynomial row vectors over
-C     common denominators (not necessarily lcd's).  Such a description
-C     is simply the polynomial matrix representation
-C
-C          T(s) = inv(D(s)) * U(s),
-C
-C     where D(s) is diagonal with (I,I)-th element D:I(s) of degree
-C     INDEX(I); applying Wolovich's Observable Structure Theorem to
-C     this left matrix fraction then yields an equivalent state-space
-C     representation in observable companion form, of order
-C     N = sum(INDEX(I)).  As D(s) is diagonal, the PWORK ordered
-C     'non-trivial' columns of C and A are very simply calculated, these
-C     submatrices being diagonal and (INDEX(I) x 1) - block diagonal,
-C     respectively: finding B and D is also somewhat simpler than for
-C     general P(s) as dealt with in TC04AD. Finally, the state-space
-C     representation obtained here is not necessarily controllable
-C     (as D(s) and U(s) are not necessarily relatively left prime), but
-C     it is theoretically completely observable: however, its
-C     observability matrix may be poorly conditioned, so it is safer
-C     not to assume observability either.
-C
-C     REVISIONS
-C
-C     May 13, 1998.
-C
-C     KEYWORDS
-C
-C     Coprime matrix fraction, elementary polynomial operations,
-C     polynomial matrix, state-space representation, transfer matrix.
-C
-C     ******************************************************************
-C
-      DOUBLE PRECISION  ZERO, ONE
-      PARAMETER         ( ZERO = 0.0D0, ONE = 1.0D0 )
-C     .. Scalar Arguments ..
-      INTEGER           INFO, LDA, LDB, LDC, LDD, LDDCOE, LDUCO1,
-     $                  LDUCO2, MWORK, N, PWORK
-C     .. Array Arguments ..
-      INTEGER           INDEX(*)
-      DOUBLE PRECISION  A(LDA,*), B(LDB,*), C(LDC,*), D(LDD,*),
-     $                  DCOEFF(LDDCOE,*), UCOEFF(LDUCO1,LDUCO2,*)
-C     .. Local Scalars ..
-      INTEGER           I, IA, IBIAS, INDCUR, JA, JMAX1, K
-      DOUBLE PRECISION  ABSDIA, ABSDMX, BIGNUM, DIAG, SMLNUM, UMAX1,
-     $                  TEMP
-C     .. External Functions ..
-      INTEGER           IDAMAX
-      DOUBLE PRECISION  DLAMCH
-      EXTERNAL          DLAMCH, IDAMAX
-C     .. External Subroutines ..
-      EXTERNAL          DAXPY, DCOPY, DLASET, DSCAL
-C     .. Intrinsic Functions ..
-      INTRINSIC         ABS
-C     .. Executable Statements ..
-C
-      INFO = 0
-C
-C     Initialize A and C to be zero, apart from 1's on the subdiagonal
-C     of A.
-C
-      CALL DLASET( 'Upper', N, N, ZERO, ZERO, A, LDA )
-      IF ( N.GT.1 ) CALL DLASET( 'Lower', N-1, N-1, ZERO, ONE, A(2,1),
-     $                           LDA )
-C
-      CALL DLASET( 'Full', PWORK, N, ZERO, ZERO, C, LDC )
-C
-C     Calculate B and D, as well as 'non-trivial' elements of A and C.
-C     Check if any leading coefficient of D(s) nearly zero: if so, exit.
-C     Caution is taken to avoid overflow.
-C
-      SMLNUM = DLAMCH( 'Safe minimum' ) / DLAMCH( 'Precision' )
-      BIGNUM = ONE / SMLNUM
-C
-      IBIAS = 2
-      JA = 0
-C
-      DO 20 I = 1, PWORK
-         ABSDIA = ABS( DCOEFF(I,1) )
-         JMAX1  = IDAMAX( MWORK, UCOEFF(I,1,1), LDUCO1 )
-         UMAX1  = ABS( UCOEFF(I,JMAX1,1) )
-         IF ( ( ABSDIA.LT.SMLNUM ) .OR.
-     $        ( ABSDIA.LT.ONE .AND. UMAX1.GT.ABSDIA*BIGNUM ) ) THEN
-C
-C           Error return.
-C
-            INFO = I
-            RETURN
-         END IF
-         DIAG   = ONE/DCOEFF(I,1)
-         INDCUR = INDEX(I)
-         IF ( INDCUR.NE.0 ) THEN
-            IBIAS = IBIAS + INDCUR
-            JA = JA + INDCUR
-            IF ( INDCUR.GE.1 ) THEN
-               JMAX1  = IDAMAX( INDCUR, DCOEFF(I,2), LDDCOE )
-               ABSDMX = ABS( DCOEFF(I,JMAX1) )
-               IF ( ABSDIA.GE.ONE ) THEN
-                  IF ( UMAX1.GT.ONE ) THEN
-                     IF ( ( ABSDMX/ABSDIA ).GT.( BIGNUM/UMAX1 ) ) THEN
-C
-C                       Error return.
-C
-                        INFO = I
-                        RETURN
-                     END IF
-                  END IF
-               ELSE
-                  IF ( UMAX1.GT.ONE ) THEN
-                     IF ( ABSDMX.GT.( BIGNUM*ABSDIA )/UMAX1 ) THEN
-C
-C                       Error return.
-C
-                        INFO = I
-                        RETURN
-                     END IF
-                  END IF
-               END IF
-            END IF
-C
-C           I-th 'non-trivial' sub-vector of A given from coefficients
-C           of D:I(s), while I-th row block of B given from this and
-C           row I of U(s).
-C
-            DO 10 K = 2, INDCUR + 1
-               IA = IBIAS - K
-               TEMP = -DIAG*DCOEFF(I,K)
-               A(IA,JA) = TEMP
-C
-               CALL DCOPY( MWORK, UCOEFF(I,1,K), LDUCO1, B(IA,1), LDB )
-               CALL DAXPY( MWORK, TEMP, UCOEFF(I,1,1), LDUCO1, B(IA,1),
-     $                     LDB )
-   10       CONTINUE
-C
-            IF ( JA.LT.N ) A(JA+1,JA) = ZERO
-C
-C           Finally, I-th 'non-trivial' entry of C and row of D obtained
-C           also.
-C
-            C(I,JA) = DIAG
-         END IF
-C
-         CALL DCOPY( MWORK, UCOEFF(I,1,1), LDUCO1, D(I,1), LDD )
-         CALL DSCAL( MWORK, DIAG, D(I,1), LDD )
-   20 CONTINUE
-C
-      RETURN
-C *** Last line of TD03AY ***
-      END
--- a/extra/control-devel/devel/dksyn/TD04AD.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,425 +0,0 @@
-      SUBROUTINE TD04AD( ROWCOL, M, P, INDEX, DCOEFF, LDDCOE, UCOEFF,
-     $                   LDUCO1, LDUCO2, NR, A, LDA, B, LDB, C, LDC, D,
-     $                   LDD, TOL, IWORK, DWORK, LDWORK, INFO )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     PURPOSE
-C
-C     To find a minimal state-space representation (A,B,C,D) for a
-C     proper transfer matrix T(s) given as either row or column
-C     polynomial vectors over denominator polynomials, possibly with
-C     uncancelled common terms.
-C
-C     ARGUMENTS
-C
-C     Mode Parameters
-C
-C     ROWCOL  CHARACTER*1
-C             Indicates whether the transfer matrix T(s) is given as
-C             rows or columns over common denominators as follows:
-C             = 'R':  T(s) is given as rows over common denominators;
-C             = 'C':  T(s) is given as columns over common denominators.
-C
-C     Input/Output Parameters
-C
-C     M       (input) INTEGER
-C             The number of system inputs.  M >= 0.
-C
-C     P       (input) INTEGER
-C             The number of system outputs.  P >= 0.
-C
-C     INDEX   (input) INTEGER array, dimension (porm), where porm = P,
-C             if ROWCOL = 'R', and porm = M, if ROWCOL = 'C'.
-C             This array must contain the degrees of the denominator
-C             polynomials in D(s).
-C
-C     DCOEFF  (input) DOUBLE PRECISION array, dimension (LDDCOE,kdcoef),
-C             where kdcoef = MAX(INDEX(I)) + 1.
-C             The leading porm-by-kdcoef part of this array must contain
-C             the coefficients of each denominator polynomial.
-C             DCOEFF(I,K) is the coefficient in s**(INDEX(I)-K+1) of the
-C             I-th denominator polynomial in D(s), where
-C             K = 1,2,...,kdcoef.
-C
-C     LDDCOE  INTEGER
-C             The leading dimension of array DCOEFF.
-C             LDDCOE >= MAX(1,P) if ROWCOL = 'R';
-C             LDDCOE >= MAX(1,M) if ROWCOL = 'C'.
-C
-C     UCOEFF  (input) DOUBLE PRECISION array, dimension
-C             (LDUCO1,LDUCO2,kdcoef)
-C             The leading P-by-M-by-kdcoef part of this array must
-C             contain the numerator matrix U(s); if ROWCOL = 'C', this
-C             array is modified internally but restored on exit, and the
-C             remainder of the leading MAX(M,P)-by-MAX(M,P)-by-kdcoef
-C             part is used as internal workspace.
-C             UCOEFF(I,J,K) is the coefficient in s**(INDEX(iorj)-K+1)
-C             of polynomial (I,J) of U(s), where K = 1,2,...,kdcoef;
-C             if ROWCOL = 'R' then iorj = I, otherwise iorj = J.
-C             Thus for ROWCOL = 'R', U(s) =
-C             diag(s**INDEX(I))*(UCOEFF(.,.,1)+UCOEFF(.,.,2)/s+...).
-C
-C     LDUCO1  INTEGER
-C             The leading dimension of array UCOEFF.
-C             LDUCO1 >= MAX(1,P)   if ROWCOL = 'R';
-C             LDUCO1 >= MAX(1,M,P) if ROWCOL = 'C'.
-C
-C     LDUCO2  INTEGER
-C             The second dimension of array UCOEFF.
-C             LDUCO2 >= MAX(1,M)   if ROWCOL = 'R';
-C             LDUCO2 >= MAX(1,M,P) if ROWCOL = 'C'.
-C
-C     NR      (output) INTEGER
-C             The order of the resulting minimal realization, i.e. the
-C             order of the state dynamics matrix A.
-C
-C     A       (output) DOUBLE PRECISION array, dimension (LDA,N),
-C                       porm
-C             where N = SUM INDEX(I).
-C                       I=1
-C             The leading NR-by-NR part of this array contains the upper
-C             block Hessenberg state dynamics matrix A of a minimal
-C             realization.
-C
-C     LDA     INTEGER
-C             The leading dimension of array A.  LDA >= MAX(1,N).
-C
-C     B       (output) DOUBLE PRECISION array, dimension (LDB,MAX(M,P))
-C             The leading NR-by-M part of this array contains the
-C             input/state matrix B of a minimal realization; the
-C             remainder of the leading N-by-MAX(M,P) part is used as
-C             internal workspace.
-C
-C     LDB     INTEGER
-C             The leading dimension of array B.  LDB >= MAX(1,N).
-C
-C     C       (output) DOUBLE PRECISION array, dimension (LDC,N)
-C             The leading P-by-NR part of this array contains the
-C             state/output matrix C of a minimal realization; the
-C             remainder of the leading MAX(M,P)-by-N part is used as
-C             internal workspace.
-C
-C     LDC     INTEGER
-C             The leading dimension of array C.  LDC >= MAX(1,M,P).
-C
-C     D       (output) DOUBLE PRECISION array, dimension (LDD,M),
-C             if ROWCOL = 'R', and (LDD,MAX(M,P)) if ROWCOL = 'C'.
-C             The leading P-by-M part of this array contains the direct
-C             transmission matrix D; if ROWCOL = 'C', the remainder of
-C             the leading MAX(M,P)-by-MAX(M,P) part is used as internal
-C             workspace.
-C
-C     LDD     INTEGER
-C             The leading dimension of array D.
-C             LDD >= MAX(1,P)   if ROWCOL = 'R';
-C             LDD >= MAX(1,M,P) if ROWCOL = 'C'.
-C
-C     Tolerances
-C
-C     TOL     DOUBLE PRECISION
-C             The tolerance to be used in rank determination when
-C             transforming (A, B, C). If the user sets TOL > 0, then
-C             the given value of TOL is used as a lower bound for the
-C             reciprocal condition number (see the description of the
-C             argument RCOND in the SLICOT routine MB03OD);  a
-C             (sub)matrix whose estimated condition number is less than
-C             1/TOL is considered to be of full rank.  If the user sets
-C             TOL <= 0, then an implicitly computed, default tolerance
-C             (determined by the SLICOT routine TB01UD) is used instead.
-C
-C     Workspace
-C
-C     IWORK   INTEGER array, dimension (N+MAX(M,P))
-C             On exit, if INFO = 0, the first nonzero elements of
-C             IWORK(1:N) return the orders of the diagonal blocks of A.
-C
-C     DWORK   DOUBLE PRECISION array, dimension (LDWORK)
-C             On exit, if INFO = 0, DWORK(1) returns the optimal value
-C             of LDWORK.
-C
-C     LDWORK  INTEGER
-C             The length of the array DWORK.
-C             LDWORK >= MAX(1, N + MAX(N, 3*M, 3*P)).
-C             For optimum performance LDWORK should be larger.
-C
-C     Error Indicator
-C
-C     INFO    INTEGER
-C             = 0:  successful exit;
-C             < 0:  if INFO = -i, the i-th argument had an illegal
-C                   value;
-C             > 0:  if INFO = i, then i is the first integer for which
-C                   ABS( DCOEFF(I,1) ) is so small that the calculations
-C                   would overflow (see SLICOT Library routine TD03AY);
-C                   that is, the leading coefficient of a polynomial is
-C                   nearly zero; no state-space representation is
-C                   calculated.
-C
-C     METHOD
-C
-C     The method for transfer matrices factorized by rows will be
-C     described here: T(s) factorized by columns is dealt with by
-C     operating on the dual T'(s). This description for T(s) is
-C     actually the left polynomial matrix representation
-C
-C          T(s) = inv(D(s))*U(s),
-C
-C     where D(s) is diagonal with its (I,I)-th polynomial element of
-C     degree INDEX(I). The first step is to check whether the leading
-C     coefficient of any polynomial element of D(s) is approximately
-C     zero; if so the routine returns with INFO > 0. Otherwise,
-C     Wolovich's Observable Structure Theorem is used to construct a
-C     state-space representation in observable companion form which
-C     is equivalent to the above polynomial matrix representation.
-C     The method is particularly easy here due to the diagonal form
-C     of D(s). This state-space representation is not necessarily
-C     controllable (as D(s) and U(s) are not necessarily relatively
-C     left prime), but it is in theory completely observable; however,
-C     its observability matrix may be poorly conditioned, so it is
-C     treated as a general state-space representation and SLICOT
-C     Library routine TB01PD is then called to separate out a minimal
-C     realization from this general state-space representation by means
-C     of orthogonal similarity transformations.
-C
-C     REFERENCES
-C
-C     [1] Patel, R.V.
-C         Computation of Minimal-Order State-Space Realizations and
-C         Observability Indices using Orthogonal Transformations.
-C         Int. J. Control, 33, pp. 227-246, 1981.
-C
-C     [2] Wolovich, W.A.
-C         Linear Multivariable Systems, (Theorem 4.3.3).
-C         Springer-Verlag, 1974.
-C
-C     NUMERICAL ASPECTS
-C                               3
-C     The algorithm requires 0(N ) operations.
-C
-C     CONTRIBUTOR
-C
-C     V. Sima, Katholieke Univ. Leuven, Belgium, March 1998.
-C     Supersedes Release 3.0 routine TD01OD.
-C
-C     REVISIONS
-C
-C     -
-C
-C     KEYWORDS
-C
-C     Controllability, elementary polynomial operations, minimal
-C     realization, polynomial matrix, state-space representation,
-C     transfer matrix.
-C
-C     ******************************************************************
-C
-C     .. Parameters ..
-      DOUBLE PRECISION  ZERO, ONE
-      PARAMETER         ( ZERO = 0.0D0, ONE = 1.0D0 )
-C     .. Scalar Arguments ..
-      CHARACTER         ROWCOL
-      INTEGER           INFO, LDA, LDB, LDC, LDD, LDDCOE, LDUCO1,
-     $                  LDUCO2, LDWORK, M, NR, P
-      DOUBLE PRECISION  TOL
-C     .. Array Arguments ..
-      INTEGER           INDEX(*), IWORK(*)
-      DOUBLE PRECISION  A(LDA,*), B(LDB,*), C(LDC,*), D(LDD,*),
-     $                  DCOEFF(LDDCOE,*), DWORK(*),
-     $                  UCOEFF(LDUCO1,LDUCO2,*)
-C     .. Local Scalars ..
-      LOGICAL           LROCOC, LROCOR
-      INTEGER           I, J, JSTOP, K, KDCOEF, MPLIM, MWORK, N, PWORK
-C     .. External Functions ..
-      LOGICAL           LSAME
-      EXTERNAL          LSAME
-C     .. External Subroutines ..
-      EXTERNAL          DLASET, DSWAP, TB01PD, TB01XD, TD03AY, XERBLA
-C     .. Intrinsic Functions ..
-      INTRINSIC         MAX
-C     .. Executable Statements ..
-C
-      INFO = 0
-      LROCOR = LSAME( ROWCOL, 'R' )
-      LROCOC = LSAME( ROWCOL, 'C' )
-      MPLIM = MAX( 1, M, P )
-C
-C     Test the input scalar arguments.
-C
-      IF( .NOT.LROCOR .AND. .NOT.LROCOC ) THEN
-         INFO = -1
-      ELSE IF( M.LT.0 ) THEN
-         INFO = -2
-      ELSE IF( P.LT.0 ) THEN
-         INFO = -3
-      ELSE IF( ( LROCOR .AND. LDDCOE.LT.MAX( 1, P ) ) .OR.
-     $         ( LROCOC .AND. LDDCOE.LT.MAX( 1, M ) ) ) THEN
-         INFO = -6
-      ELSE IF( ( LROCOR .AND. LDUCO1.LT.MAX( 1, P ) ) .OR.
-     $         ( LROCOC .AND. LDUCO1.LT.MPLIM ) ) THEN
-         INFO = -8
-      ELSE IF( ( LROCOR .AND. LDUCO2.LT.MAX( 1, M ) ) .OR.
-     $         ( LROCOC .AND. LDUCO2.LT.MPLIM ) ) THEN
-         INFO = -9
-      END IF
-C
-      N = 0
-      IF ( INFO.EQ.0 ) THEN
-         IF ( LROCOR ) THEN
-C
-C           Initialization for T(s) given as rows over common
-C           denominators.
-C
-            PWORK = P
-            MWORK = M
-         ELSE
-C
-C           Initialization for T(s) given as columns over common
-C           denominators.
-C
-            PWORK = M
-            MWORK = P
-         END IF
-C
-C        Calculate N, the order of the resulting state-space
-C        representation.
-C
-         KDCOEF = 0
-C
-         DO 10 I = 1, PWORK
-            KDCOEF = MAX( KDCOEF, INDEX(I) )
-            N = N + INDEX(I)
-   10    CONTINUE
-C
-         KDCOEF = KDCOEF + 1
-C
-         IF( LDA.LT.MAX( 1, N ) ) THEN
-            INFO = -12
-         ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
-            INFO = -14
-         ELSE IF( LDC.LT.MPLIM ) THEN
-            INFO = -16
-         ELSE IF( ( LROCOR .AND. LDD.LT.MAX( 1, P ) ) .OR.
-     $         ( LROCOC .AND. LDD.LT.MPLIM ) ) THEN
-            INFO = -18
-         ELSE IF( LDWORK.LT.MAX( 1, N + MAX( N, 3*M, 3*P ) ) ) THEN
-            INFO = -22
-         END IF
-      END IF
-C
-      IF ( INFO.NE.0 ) THEN
-C
-C        Error return.
-C
-         CALL XERBLA( 'TD04AD', -INFO )
-         RETURN
-      END IF
-C
-C     Quick return if possible.
-C
-      IF ( MAX( N, M, P ).EQ.0 ) THEN
-         NR  = 0
-         DWORK(1) = ONE
-         RETURN
-      END IF
-C
-      IF ( LROCOC ) THEN
-C
-C        Initialize the remainder of the leading
-C        MPLIM-by-MPLIM-by-KDCOEF part of U(s) to zero.
-C
-         IF ( P.LT.M ) THEN
-C
-            DO 20 K = 1, KDCOEF
-               CALL DLASET( 'Full', M-P, MPLIM, ZERO, ZERO,
-     $                      UCOEFF(P+1,1,K), LDUCO1 )
-   20       CONTINUE
-C
-         ELSE IF ( P.GT.M ) THEN
-C
-            DO 30 K = 1, KDCOEF
-               CALL DLASET( 'Full', MPLIM, P-M, ZERO, ZERO,
-     $                      UCOEFF(1,M+1,K), LDUCO1 )
-   30       CONTINUE
-C
-         END IF
-C
-         IF ( MPLIM.NE.1 ) THEN
-C
-C           Non-scalar T(s) factorized by columns: transpose it (i.e.
-C           U(s)).
-C
-            JSTOP = MPLIM - 1
-C
-            DO 50 K = 1, KDCOEF
-C
-               DO 40 J = 1, JSTOP
-                  CALL DSWAP( MPLIM-J, UCOEFF(J+1,J,K), 1,
-     $                        UCOEFF(J,J+1,K), LDUCO1 )
-   40          CONTINUE
-C
-   50       CONTINUE
-C
-         END IF
-      END IF
-C
-C     Construct non-minimal state-space representation (by Wolovich's
-C     Structure Theorem) which has transfer matrix T(s) or T'(s) as
-C     appropriate ...
-C
-      CALL TD03AY( MWORK, PWORK, INDEX, DCOEFF, LDDCOE, UCOEFF, LDUCO1,
-     $             LDUCO2, N, A, LDA, B, LDB, C, LDC, D, LDD, INFO )
-      IF ( INFO.GT.0 )
-     $   RETURN
-C
-C     and then separate out a minimal realization from this.
-C
-C     Workspace: need  N + MAX(N, 3*MWORK, 3*PWORK).
-C
-      CALL TB01PD( 'Minimal', 'Scale', N, MWORK, PWORK, A, LDA, B, LDB,
-     $             C, LDC, NR, TOL, IWORK, DWORK, LDWORK, INFO )
-C
-      IF ( LROCOC ) THEN
-C
-C        If T(s) originally factorized by columns, find dual of minimal
-C        state-space representation, and reorder the rows and columns
-C        to get an upper block Hessenberg state dynamics matrix.
-C
-         K = IWORK(1)+IWORK(2)-1
-         CALL TB01XD( 'D', NR, MWORK, PWORK, K, NR-1, A, LDA, B, LDB,
-     $                C, LDC, D, LDD, INFO )
-         IF ( MPLIM.NE.1 ) THEN
-C
-C           Also, retranspose U(s) if this is non-scalar.
-C
-            DO 70 K = 1, KDCOEF
-C
-               DO 60 J = 1, JSTOP
-                  CALL DSWAP( MPLIM-J, UCOEFF(J+1,J,K), 1,
-     $                        UCOEFF(J,J+1,K), LDUCO1 )
-   60          CONTINUE
-C
-   70       CONTINUE
-C
-         END IF
-      END IF
-C
-      RETURN
-C *** Last line of TD04AD ***
-      END
--- a/extra/control-devel/devel/dksyn/makefile_dksyn.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,15 +0,0 @@
-mex muHopt.f \
-    SB10AD.f SB10MD.f AB05MD.f AB07ND.f AB04MD.f \
-    SB10PD.f SB10QD.f SB10RD.f SB10LD.f select.f \
-    TB05AD.f AB13MD.f SB10YD.f MB01RX.f MB01RU.f \
-    SB02RD.f MA02AD.f MB02SZ.f MB02TZ.f MB02RZ.f \
-    DG01MD.f SB10ZP.f SB02MS.f MA02ED.f SB02RU.f \
-    SB02SD.f SB02QD.f SB02MV.f SB02MW.f SB02MR.f \
-    MB02PD.f MB01SD.f MC01PD.f TD04AD.f MB01UD.f \
-    SB03SY.f SB03MX.f SB03SX.f MB01RY.f SB03QY.f \
-    SB03QX.f SB03MY.f TD03AY.f TB01PD.f TB01XD.f \
-    SB04PX.f SB03MV.f SB03MW.f AB07MD.f TB01UD.f \
-    TB01ID.f MB01PD.f MB03OY.f MB01QD.f \
-    "$(mkoctfile -p LAPACK_LIBS)" \
-    "$(mkoctfile -p BLAS_LIBS)" \
-    "$(mkoctfile -p FLIBS)"
--- a/extra/control-devel/devel/dksyn/muHopt.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,882 +0,0 @@
-C MUHOPT.f   - Gateway function to compute the mu optimal or H_inf
-C              controller using SLICOT routines SB10AD, SB10MD, AB04MD,
-C              AB05MD, and AB07ND.
-C
-C RELEASE 2.0 of SLICOT Robust Control Toolbox.
-C Based on SLICOT RELEASE 5.0, Copyright (c) 2004-2010 NICONET e.V.
-C
-C Matlab call:
-C   If mu optimal controller is desired (job > 0):
-C
-C   [AK,BK,CK,DK(,mju,RCOND)] = muHopt(job,discr,A,B,C,D,ncon,nmeas,
-C                gamma,omega,nblock,itype,ord(,qutol(,gtol(,actol))))
-C
-C   If H_inf optimal controller is only desired (job <= 0):
-C
-C   [AK,BK,CK,DK(,gammin,RCOND)] = muHopt(job,discr,A,B,C,D,ncon,
-C                nmeas,gamma(,gtol(,actol)))
-C
-C Purpose:
-C   To compute the matrices of the mu optimal or H_inf optimal
-C   controller given the model in a state space. It also outputs the
-C   mu norm of the closed loop system, if mu optimal controller is
-C   desired, or the value of gamma reached in the H_inf synthesis
-C   problem, if H_inf controller is only desired.
-C   The discrete-time systems are handled via bilinear transformation
-C   to continuous-time and then the controller obtained is discretised.
-C   For the K step the SB10AD subroutine is employed, and the SB10MD
-C   subroutine performs the D step.
-C
-C Input parameters:
-C   job    - indicates the type of the controller as well as the strategy
-C            for reducing the gamma value:
-C            >  0 : mu optimal controller is desired;
-C            <= 0 : H_inf optimal controller only is desired.
-C            Specifically, job
-C            = 0 : find suboptimal controller only;
-C            and abs(job) specifies the strategy for reducing gamma:
-C            = 1 : use bisection method for decreasing gamma from gamma
-C                  to gammin until the closed-loop system leaves
-C                  stability;
-C            = 2 : scan from gamma to 0 trying to find the minimal gamma
-C                  for which the closed-loop system retains stability;
-C            = 3 : first bisection, then scanning.
-C   discr  - indicates the type of the system, as follows:
-C            = 0 : continuous-time system;
-C            = 1 : discrete-time system.
-C   A      - the n-by-n system state matrix A of the plant.
-C   B      - the n-by-m system input matrix B of the plant.
-C   C      - the p-by-n system output matrix C of the plant.
-C   D      - the p-by-m system input/output matrix D of the plant.
-C   ncon   - the number of control inputs.
-C            p-nmeas >= ncon >= 0.
-C   nmeas  - the number of measurements.
-C            p-nmeas = m-ncon >= nmeas >= 0.
-C   gamma  - the initial value of gamma on input. It is assumed that
-C            gamma is sufficiently large so that the controller is
-C            admissible.  gamma >= 0.
-C   omega  - the vector of length lendat >= 2 with the frequencies.
-C            They must be nonnegative, in increasing order, and
-C            for discrete-time systems between 0 and pi.
-C   nblock - the vector with the block structure of the uncertainty.
-C            nblock(I) is the size of each block.
-C   itype  - the vector of the same length as nblock indicating
-C            the type of each block.
-C            itype(I) = 1 indicates that the corresponding block is a
-C            real block. THIS OPTION IS NOT SUPPORTED NOW.
-C            itype(I) = 2 indicates that the corresponding block is a
-C            complex block. THIS IS THE ONLY ALLOWED VALUE NOW!
-C   ord    - the maximum order of each block in the D-fitting procedure.
-C            1 <= ord <= lendat-1.
-C   qutol  - (optional) the acceptable mean relative error between
-C            the D(jw) and the frequency response of the estimated block
-C            [ADi,BDi;CDi,DDi]. When it is reached, the result is
-C            taken as good enough.
-C            Default: qutol = 2.
-C   gtol   - (optional) tolerance used for controlling the accuracy
-C            of gamma and its distance to the estimated minimal possible
-C            value of gamma.
-C            If gtol <= 0, then sqrt(EPS) is used, where EPS is the
-C            relative machine precision.
-C            Default: gtol = 0.01.
-C   actol  - (optional) upper bound for the poles of the closed-loop
-C            system used for determining if it is stable.
-C            actol <= 0 for stable systems.
-C            Default: actol = 0.
-C
-C Output parameters:
-C   AK     - the n-by-n controller state matrix AK.
-C   BK     - the n-by-nmeas controller input matrix BK.
-C   CK     - the ncon-by-n controller output matrix CK.
-C   DK     - the ncon-by-nmeas controller input/output matrix DK.
-C   mju    - (optional) the vector with the estimated upper bound of
-C            the structured singular value for each frequency in omega
-C            for the closed-loop system.
-C   gammin - (optional) the estimated minimal admissible gamma.
-C   RCOND  - (optional) for each successful J-th K step:
-C            RCOND(J) contains the reciprocal condition number of the
-C                     control transformation matrix;
-C            RCOND(J+1) contains the reciprocal condition number of the
-C                     measurement transformation matrix;
-C            RCOND(J+2) contains an estimate of the reciprocal condition
-C                     number of the X-Riccati equation;
-C            RCOND(J+3) contains an estimate of the reciprocal condition
-C                     number of the Y-Riccati equation.
-C            If job = 0, only RCOND(1:4) are set by the first K step.
-C
-C Contributor:
-C   A. Markovski, Technical University of Sofia, October 2003.
-C
-C Revisions:
-C   V. Sima, April 2004, Sept. 2004, Mar. 2005, Apr. 2009.
-C
-C***********************************************************************
-C
-      SUBROUTINE MEXFUNCTION( NLHS, PLHS, NRHS, PRHS )
-C
-C .. Parameters ..
-      INTEGER           MAXIT, HNPTS
-      PARAMETER         ( MAXIT = 15, HNPTS = 2048 )
-      DOUBLE PRECISION  ZERO, ONE, TWO, P01
-      PARAMETER         ( ZERO = 0.0D0, ONE = 1.0D0, TWO = 2.0D0,
-     $                    P01  = 0.01D0 )
-C
-C .. Mex-file interface parameters ..
-      INTEGER           NLHS, PLHS(*), NRHS, PRHS(*)
-C
-C .. Mex-file integer functions ..
-      INTEGER           mxCreateDoubleMatrix, mxGetPr, mxGetM, mxGetN
-     $                  mxIsNumeric, mxIsComplex
-C
-C .. Parameters used by SLICOT subroutines ..
-      INTEGER           F, INFO, JOB, LBWORK, LDA, LDAC, LDAD, LDAE,
-     $                  LDAK, LDB, LDBC, LDBD, LDBE, LDBK, LDC, LDCC,
-     $                  LDCD, LDCE, LDCK, LDD, LDDC, LDDD, LDDE, LDDK,
-     $                  LDWORK, LENDAT, LIWORK, LZWORK, M, M2, MNB, N,
-     $                  N2E, NE, NEB, NP, NP1, NP2, NTEMP, ORD, TOTORD
-      DOUBLE PRECISION  ACTOL, GAMMA, GTOL, QUTOL, TEMP
-      DOUBLE PRECISION  RCOND(4*MAXIT)
-C
-C .. Allocatable arrays ..
-C !Fortran 90/95 (Fixed dimensions should be used with Fortran 77.)
-      LOGICAL,          ALLOCATABLE :: BWORK(:)
-      INTEGER,          ALLOCATABLE :: ITYPE(:), IWORK(:), NBLOCK(:)
-      DOUBLE PRECISION, ALLOCATABLE :: A(:), AC(:), AD(:), AE(:), AK(:),
-     $                                 AKB(:), B(:), BC(:), BD(:),
-     $                                 BE(:), BK(:), BKB(:), C(:),
-     $                                 CC(:), CD(:), CE(:), CK(:),
-     $                                 CKB(:), D(:), DC(:), DD(:),
-     $                                 DE(:), DK(:), DKB(:), DWORK(:),
-     $                                 MJU(:), OMEGA(:), PMJU(:),
-     $                                 RITYPE(:), RNBLCK(:)
-      COMPLEX*16,       ALLOCATABLE :: ZWORK(:)
-C
-C .. Local variables and constant dimension arrays ..
-      CHARACTER         CONJOB
-      CHARACTER*120     TEXT
-      INTEGER           DISCR, I, IP, ITER, ITERB, LD1, LD2, LD3, LD4,
-     $                  LI1, LI2, LI3, LI4, LW1, LW2, LW3, LW4, LW5,
-     $                  LW6, LW7, LWA, LWB, LZD, LZM, M1, M11, MD, MIT,
-     $                  MN, NA, NB, NC, ND, NIT, NNB, NP11
-      DOUBLE PRECISION  PMPEAK, MUPEAK, TOL
-C
-C .. External functions ..
-      DOUBLE PRECISION  DLAMCH
-      EXTERNAL          DLAMCH
-C
-C .. External subroutines ..
-      EXTERNAL          AB04MD, AB05MD, AB07ND, DCOPY, SB10AD, SB10MD
-C
-C ..Intrinsic functions..
-      INTRINSIC         ABS, COS, INT, MAX, MIN, SQRT
-C
-C Check for proper number of arguments.
-C
-      IF ( NRHS.EQ.0 ) THEN
-         CALL mexErrMsgTxt( 'Matlab call: [AK,BK,CK,DK,MJU,RCOND]='//
-     $ 'MUHOPT(JOB,DISCR,A,B,C,D,NCON,NMEAS,GAMMA,OMEGA,NBLOCK,ITYPE,'//
-     $ 'ORD[,QUTOL[,GTOL[,ACTOL]]]) or [AK,BK,CK,DK,GAMMIN,RCOND]='//
-     $ 'MUHOPT(JOB,DISCR,A,B,C,D,NCON,NMEAS,GAMMA[,GTOL[,ACTOL]])')
-      ELSE IF ( NRHS.LT.9 ) THEN
-         CALL mexErrMsgTxt
-     $                 ( 'MUHOPT requires at least 9 input arguments' )
-      ELSE IF ( NRHS.GT.16 ) THEN
-         CALL mexErrMsgTxt
-     $                 ( 'MUHOPT requires at most 16 input arguments' )
-      ELSE IF ( NLHS.LT.4 ) THEN
-         CALL mexErrMsgTxt
-     $                 ( 'MUHOPT requires at least 4 output arguments' )
-      END IF
-C
-C  job
-C
-      IF ( mxGetM( PRHS(1) ).NE.1 .OR. mxGetN( PRHS(1) ).NE.1 ) THEN
-         CALL mexErrMsgTxt( 'JOB must be a scalar' )
-      ELSE IF ( mxIsNumeric( PRHS(1) ).EQ.0 .OR.
-     $          mxIsComplex( PRHS(1) ).EQ.1 ) THEN
-         CALL mexErrMsgTxt( 'JOB must be an integer scalar' )
-      END IF
-C
-      CALL mxCopyPtrToReal8( mxGetPr( PRHS(1) ), TEMP, 1 )
-      JOB = INT( TEMP )
-C
-      IF ( ABS( JOB ).GT.3 ) THEN
-         CALL mexErrMsgTxt( 'JOB has -3, -2, -1, 0, 1, 2, or 3 '//
-     $                      'the only admissible values' )
-      END IF
-C
-C     Determine the job.
-C
-      IF ( JOB.GT.0 ) THEN
-C        mu controller desired.
-         CONJOB = 'M'
-      ELSE
-C        H_inf controller desired.
-         CONJOB = 'H'
-         IF ( JOB.EQ.0 ) THEN
-            JOB = 4
-         ELSE
-            JOB = ABS( JOB )
-         END IF
-      END IF
-C
-C     Recheck for proper number of arguments.
-C
-      IF ( CONJOB.EQ.'M' .AND. NRHS.LT.13 ) THEN
-         CALL mexErrMsgTxt( 'MUHOPT requires at least 13 input '//
-     $                  'arguments if mu optimal controller is desired')
-      ELSE IF ( CONJOB.EQ.'H' .AND. NRHS.GT.11 ) THEN
-         CALL mexErrMsgTxt( 'MUHOPT requires at most 11 input '//
-     $               'arguments if H_inf optimal controller is desired')
-      END IF
-C
-C  discr
-C
-      IF ( mxGetM( PRHS(2) ).NE.1 .OR. mxGetN( PRHS(2) ).NE.1 ) THEN
-         CALL mexErrMsgTxt( 'DISCR must be a scalar' )
-      ELSE IF ( mxIsNumeric( PRHS(2) ).EQ.0 .OR.
-     $          mxIsComplex( PRHS(2) ).EQ.1 ) THEN
-         CALL mexErrMsgTxt( 'DISCR must be an integer scalar' )
-      END IF
-C
-      CALL mxCopyPtrToReal8( mxGetPr( PRHS(2) ), TEMP, 1 )
-      DISCR = INT( TEMP )
-C
-      IF ( DISCR.LT.0 .OR. DISCR.GT.1 ) THEN
-         CALL mexErrMsgTxt( 'DISCR must be 0 or 1' )
-      END IF
-C
-C  A, B, C, D
-C
-      IF ( mxIsNumeric( PRHS(3) ).EQ.0 .OR.
-     $     mxIsComplex( PRHS(3) ).EQ.1 ) THEN
-         CALL mexErrMsgTxt( 'A must be a numeric matrix' )
-      END IF
-C
-      N  = mxGetM( PRHS(3) )
-      NA = mxGetN( PRHS(3) )
-C
-      IF ( NA.NE.N ) THEN
-         CALL mexErrMsgTxt( 'A must be a square matrix' )
-      END IF
-C
-      IF ( mxIsNumeric( PRHS(4) ).EQ.0 .OR.
-     $     mxIsComplex( PRHS(4) ).EQ.1 ) THEN
-         CALL mexErrMsgTxt( 'B must be a numeric matrix' )
-      END IF
-C
-      NB = mxGetM( PRHS(4) )
-      M  = mxGetN( PRHS(4) )
-C
-      IF ( NB.NE.N ) THEN
-         CALL mexErrMsgTxt( 'B must have the same row dimension as A' )
-      END IF
-C
-      IF ( mxIsNumeric( PRHS(5) ).EQ.0 .OR.
-     $     mxIsComplex( PRHS(5) ).EQ.1 ) THEN
-         CALL mexErrMsgTxt( 'C must be a numeric matrix' )
-      END IF
-C
-      NP = mxGetM( PRHS(5) )
-      NC = mxGetN( PRHS(5) )
-C
-      IF ( NC.NE.N ) THEN
-         CALL mexErrMsgTxt
-     $                 ( 'C must have the same column dimension as A' )
-      END IF
-C
-      IF ( mxIsNumeric( PRHS(6) ).EQ.0 .OR.
-     $     mxIsComplex( PRHS(6) ).EQ.1 ) THEN
-         CALL mexErrMsgTxt( 'D must be a numeric matrix' )
-      END IF
-C
-      ND = mxGetM( PRHS(6) )
-      MD = mxGetN( PRHS(6) )
-C
-      IF ( ND.NE.NP ) THEN
-         CALL mexErrMsgTxt( 'D must have the same row dimension as C' )
-      ELSE IF ( MD.NE.M ) THEN
-         CALL mexErrMsgTxt
-     $                 ( 'D must have the same column dimension as B' )
-      END IF
-C
-C  ncon (M2), nmeas (NP2)
-C
-      IF ( mxGetM( PRHS(7) ).NE.1 .OR. mxGetN( PRHS(7) ).NE.1 ) THEN
-         CALL mexErrMsgTxt( 'NCON must be a scalar' )
-      ELSE IF ( mxIsNumeric( PRHS(7) ).EQ.0 .OR.
-     $          mxIsComplex( PRHS(7) ).EQ.1 ) THEN
-         CALL mexErrMsgTxt( 'NCON must be an integer scalar' )
-      END IF
-C
-      CALL mxCopyPtrToReal8( mxGetPr( PRHS(7) ), TEMP, 1 )
-      M2 = INT( TEMP )
-C
-      IF ( mxGetM( PRHS(8) ).NE.1 .OR. mxGetN( PRHS(8) ).NE.1 ) THEN
-         CALL mexErrMsgTxt( 'NMEAS must be a scalar' )
-      ELSE IF ( mxIsNumeric( PRHS(8) ).EQ.0 .OR.
-     $          mxIsComplex( PRHS(8) ).EQ.1 ) THEN
-         CALL mexErrMsgTxt( 'NMEAS must be an integer scalar' )
-      END IF
-C
-      CALL mxCopyPtrToReal8( mxGetPr( PRHS(8) ), TEMP, 1 )
-      NP2 = INT( TEMP )
-      M1  = M  - M2
-      NP1 = NP - NP2
-C
-      IF ( M1.NE.NP1 ) THEN
-         CALL mexErrMsgTxt( 'M - NCON must be equal to P - NMEAS' )
-      END IF
-C
-C  gamma
-C
-      IF ( mxGetM( PRHS(9) ).NE.1 .OR. mxGetN( PRHS(9) ).NE.1 ) THEN
-         CALL mexErrMsgTxt( 'GAMMA must be a scalar' )
-      ELSE IF ( mxIsNumeric( PRHS(9) ).EQ.0 .OR.
-     $          mxIsComplex( PRHS(9) ).EQ.1 ) THEN
-         CALL mexErrMsgTxt( 'GAMMA must be a real scalar' )
-      END IF
-C
-      CALL mxCopyPtrToReal8( mxGetPr( PRHS(9) ), GAMMA, 1 )
-C
-      IF ( CONJOB.EQ.'M' ) THEN
-C
-C     The mu controller case.
-C
-C  omega
-C
-         IF ( mxIsNumeric( PRHS(10) ).EQ.0 .OR.
-     $        mxIsComplex( PRHS(10) ).EQ.1 ) THEN
-            CALL mexErrMsgTxt( 'OMEGA must be a numeric vector' )
-         ELSE IF ( MIN( mxGetM( PRHS(10) ), mxGetN( PRHS(10) ) ).NE.1 )
-     $        THEN
-            CALL mexErrMsgTxt( 'OMEGA must be a vector' )
-         END IF
-C
-         LENDAT = mxGetM( PRHS(10) )*mxGetN( PRHS(10) )
-         IF ( LENDAT.LE.1 ) THEN
-            CALL mexErrMsgTxt( 'OMEGA must have at least 2 elements' )
-         END IF
-C
-C  nblock
-C
-         IF ( mxIsNumeric( PRHS(11) ).EQ.0 .OR.
-     $        mxIsComplex( PRHS(11) ).EQ.1 ) THEN
-            CALL mexErrMsgTxt( 'NBLOCK must be a numeric vector' )
-         END IF
-C
-         MNB = mxGetM( PRHS(11) )
-         NNB = mxGetN( PRHS(11) )
-         MN  = MIN( MNB, NNB )
-         MNB = MAX( MNB, NNB )
-         NNB = MN
-         IF ( NNB.NE.1 ) THEN
-            CALL mexErrMsgTxt( 'NBLOCK must be a vector' )
-         END IF
-C
-C  itype
-C
-         IF ( mxIsNumeric( PRHS(12) ).EQ.0 .OR.
-     $        mxIsComplex( PRHS(12) ).EQ.1 ) THEN
-            CALL mexErrMsgTxt( 'ITYPE must be a numeric vector' )
-         END IF
-C
-         MIT = mxGetM( PRHS(12) )
-         NIT = mxGetN( PRHS(12) )
-         MN  = MIN( MIT, NIT )
-         MIT = MAX( MIT, NIT )
-         NIT = MN
-C
-         IF ( NIT.NE.1 ) THEN
-            CALL mexErrMsgTxt( 'ITYPE must be a vector' )
-         ELSE IF ( MNB.NE.MIT ) THEN
-            CALL mexErrMsgTxt
-     $                     ( 'ITYPE must have the same size as NBLOCK' )
-         END IF
-C
-C  ord
-C
-         IF ( mxGetM( PRHS(13) ).NE.1 .OR.
-     $        mxGetN( PRHS(13) ).NE.1 ) THEN
-            CALL mexErrMsgTxt( 'ORD must be a scalar' )
-         ELSE IF ( mxIsNumeric( PRHS(13) ).EQ.0 .OR.
-     $             mxIsComplex( PRHS(13) ).EQ.1 ) THEN
-            CALL mexErrMsgTxt( 'ORD must be an integer scalar' )
-         END IF
-C
-         CALL mxCopyPtrToReal8( mxGetPr( PRHS(13) ), TEMP, 1 )
-         ORD = INT( TEMP )
-C
-         IF ( ORD.LT.1 ) THEN
-            CALL mexErrMsgTxt( 'ORD must be at least 1' )
-         ELSE IF ( ORD.GE.LENDAT ) THEN
-            WRITE( TEXT, '(''ORD must be less than LENDAT - 1 = '',
-     $             I7)' ) LENDAT - 1
-            CALL mexErrMsgTxt( TEXT )
-         END IF
-C
-C  qutol
-C
-         IF ( NRHS.GE.14 ) THEN
-            IF ( mxGetM( PRHS(14) ).NE.1 .OR.
-     $           mxGetN( PRHS(14) ).NE.1 ) THEN
-               CALL mexErrMsgTxt( 'QUTOL must be a scalar' )
-            ELSE IF ( mxIsNumeric( PRHS(14) ).EQ.0 .OR.
-     $                mxIsComplex( PRHS(14) ).EQ.1 ) THEN
-               CALL mexErrMsgTxt( 'QUTOL must be a real scalar' )
-            END IF
-            CALL mxCopyPtrToReal8( mxGetPr( PRHS(14) ), QUTOL, 1 )
-         ELSE
-            QUTOL = TWO
-         END IF
-         IP = 15
-      ELSE
-         IP = 10
-      END IF
-C
-C  gtol
-C
-      IF ( NRHS.GE.IP ) THEN
-         IF ( mxGetM( PRHS(IP) ).NE.1 .OR.
-     $        mxGetN( PRHS(IP) ).NE.1 ) THEN
-            CALL mexErrMsgTxt( 'GTOL must be a scalar' )
-         ELSE IF ( mxIsNumeric( PRHS(IP) ).EQ.0 .OR.
-     $             mxIsComplex( PRHS(IP) ).EQ.1 ) THEN
-            CALL mexErrMsgTxt( 'GTOL must be a real scalar' )
-         END IF
-         CALL mxCopyPtrToReal8( mxGetPr( PRHS(IP) ), GTOL, 1 )
-         IP = IP + 1
-      ELSE
-         GTOL = P01
-      END IF
-C
-C  actol
-C
-      IF ( NRHS.EQ.IP ) THEN
-         IF ( mxGetM( PRHS(IP) ).NE.1 .OR.
-     $        mxGetN( PRHS(IP) ).NE.1 ) THEN
-            CALL mexErrMsgTxt( 'ACTOL must be a scalar' )
-         ELSE IF ( mxIsNumeric( PRHS(IP) ).EQ.0 .OR.
-     $             mxIsComplex( PRHS(IP) ).EQ.1 ) THEN
-            CALL mexErrMsgTxt( 'ACTOL must be a real scalar' )
-         END IF
-         CALL mxCopyPtrToReal8( mxGetPr(PRHS(IP) ), ACTOL, 1 )
-      ELSE
-         ACTOL = ZERO
-      END IF
-C
-C     Set the default tolerance.
-C
-      TOL = SQRT( DLAMCH( 'Epsilon' ) )
-C
-C Determine the lenghts of working arrays.
-C
-C     The original system.
-C
-      LDA = MAX( 1, N )
-      LDB = LDA
-      LDC = MAX( 1, NP )
-      LDD = LDC
-C
-      IF ( CONJOB.EQ.'M' ) THEN
-C
-C        The scaling system.
-C
-         TOTORD = NP1*ORD
-C
-         F    = MAX( M2, NP2 )
-         LDAD = MAX( 1, TOTORD )
-         LDBD = LDAD
-         LDCD = MAX( 1, NP1 + F )
-         LDDD = LDCD
-C
-C        The extended system.
-C
-         NE   = N + 2*TOTORD
-         LDAE = MAX( 1, NE )
-         LDBE = LDAE
-         LDCE = LDCD
-         LDDE = LDCE
-      ELSE
-         NE   = N
-         LDAE = LDA
-      END IF
-C
-C     The closed-loop system.
-C
-      N2E  = 2*NE
-      LDAC = MAX( 1, N2E )
-      LDBC = LDAC
-      LDCC = MAX( 1, NP1 )
-      LDDC = LDCC
-C
-C     The controller.
-C
-      LDAK = LDAE
-      LDBK = LDAK
-      LDCK = MAX( 1, M2 )
-      LDDK = LDCK
-C
-C     LBWORK
-C
-C     ..SB10AD..
-      LBWORK = N2E
-C
-C     LIWORK
-C
-C     ..SB10AD..
-      LI1 = MAX( 2*MAX( NE, M - M2, NP - NP2, M2, NP2 ), NE*NE )
-C
-      IF ( CONJOB.EQ.'M' ) THEN
-C        ..SB10MD..
-         LI2 = MAX( N2E, 4*MNB - 2, NP1 )
-         IF ( QUTOL.GE.ZERO )
-     $      LI2 = MAX( LI2, 2*ORD + 1  )
-C        ..AB07ND..
-         LI3 = 2*M
-      ELSE
-         LI2 = 0
-         LI3 = 0
-      END IF
-C
-C     ..AB04MD..
-      LI4 = NE
-C
-      LIWORK = MAX( LI1, LI2, LI3, LI4 )
-C
-C     LDWORK
-C
-C     ..AB04MD..
-      LD1 = LDAK
-C
-C     ..SB10AD..
-      NP11 = NP1 - M2
-      M11  = M1 - NP2
-      LW1 = NE*M + NP*NE + NP*M + M2*M2 + NP2*NP2
-      LW2 = MAX( ( NE + NP1 + 1 )*( NE + M2 ) +
-     $             MAX( 3*( NE + M2 ) + NE + NP1, 5*( NE + M2 ) ),
-     $           ( NE + NP2 )*( NE + M1 + 1 ) +
-     $             MAX( 3*( NE + NP2 ) + NE + M1, 5*( NE + NP2 ) ),
-     $           M2 + NP1*NP1 + MAX( NP1*MAX( NE, M1 ), 3*M2 + NP1,
-     $                               5*M2 ),
-     $           NP2 + M1*M1 +  MAX( MAX( NE, NP1 )*M1, 3*NP2 + M1,
-     $                               5*NP2 ) )
-      LW3 = MAX( NP11*M1 + MAX( 4*MIN( NP11, M1 ) + MAX( NP11, M1 ),
-     $                          6*MIN( NP11, M1 ) ),
-     $           NP1*M11 + MAX( 4*MIN( NP1, M11 ) + MAX( NP1, M11 ),
-     $                          6*MIN( NP1, M11 ) ) )
-      LW4 = 2*M*M + NP*NP + 2*M*NE + M*NP + 2*NE*NP
-      LW5 = 2*NE*NE + M*NE + NE*NP
-      LW6 = MAX( M*M + MAX( 2*M1, 3*NE*NE +
-     $                      MAX( NE*M, 10*NE*NE + 12*NE + 5 ) ),
-     $           NP*NP + MAX( 2*NP1, 3*NE*NE +
-     $                        MAX( NE*NP, 10*NE*NE + 12*NE + 5 ) ) )
-      LW7 = M2*NP2 + NP2*NP2 + M2*M2 +
-     $      MAX( NP11*NP11 + MAX( 2*NP11, ( NP11 + M11 )*NP2 ),
-     $           M11*M11 + MAX( 2*M11, M11*M2 ), 3*NE,
-     $           NE*( 2*NP2 + M2 ) +
-     $           MAX( 2*NE*M2, M2*NP2 +
-     $                         MAX( M2*M2 + 3*M2, NP2*( 2*NP2 +
-     $                              M2 + MAX( NP2, NE ) ) ) ) )
-      LD2 = LW1 + MAX( 1, LW2, LW3, LW4, LW5 + MAX( LW6, LW7 ) )
-C
-      IF ( CONJOB.EQ.'M' ) THEN
-C
-C        ..SB10MD..
-         MN  = MIN( 2*LENDAT, 2*ORD + 1 )
-         LWA = NP1*LENDAT + 2*MNB + NP1 - 1
-         LWB = LENDAT*( NP1 + 2 ) + ORD*( ORD + 2 ) + 1
-         LW1 = 2*LENDAT + 4*HNPTS
-         LW2 =   LENDAT + 6*HNPTS
-         LW3 = 2*LENDAT*( 2*ORD + 1 ) + MAX( 2*LENDAT, 2*ORD + 1 ) +
-     $                                  MAX( MN + 6*ORD + 4, 2*MN + 1 )
-         LW4 = MAX( ORD*ORD + 5*ORD, 6*ORD + 1 + MIN( 1, ORD ) )
-C
-         LD3 = LWA + MAX( N2E + MAX( N2E, NP1 - 1 ),
-     $                    2*NP1*NP1*MNB - NP1*NP1 + 9*MNB*MNB +
-     $                      NP1*MNB + 11*NP1 + 33*MNB - 11 )
-         IF ( QUTOL.GE.ZERO ) THEN
-            LD4 = LWB + MAX( LW1, LW2, LW3, LW4 )
-         ELSE
-            LD4 = 0
-         END IF
-C        .. AB05MD..
-         LD4 = MAX( LD4, MAX( M, NP )*MAX( N + TOTORD, M, NP ) )
-C        .. AB07ND..
-         LD4 = MAX( LD4, 4*M )
-      ELSE
-         LD3 = 0
-         LD4 = 0
-      END IF
-C
-      LDWORK = MAX( LD1, LD2, LD3, LD4 )
-C
-C     LZWORK
-C
-      IF ( CONJOB.EQ.'M' ) THEN
-C        ..SB10MD..
-         LZM = MAX( NP1*NP1 + N2E*NP1 + N2E*N2E + 2*N2E,
-     $              6*NP1*NP1*MNB + 13*NP1*NP1 + 6*MNB + 6*NP1 - 3 )
-         IF ( QUTOL.GE.ZERO ) THEN
-            LZD = MAX( LENDAT*( 2*ORD + 3 ), ORD*ORD + 3*ORD + 1 )
-         ELSE
-            LZD = 0
-         END IF
-         LZWORK = MAX( LZM, LZD )
-      END IF
-C
-C Allocate variable dimension local arrays.
-C !Fortran 90/95
-C
-      ALLOCATE ( A(LDA*N), AC(LDAC*N2E), AK(LDAK*NE),
-     $           B(LDB*M), BC(LDBC*M1),  BK(LDBK*NP2), BWORK(LBWORK),
-     $           C(LDC*N), CC(LDCC*N2E), CK(LDCK*NE),
-     $           D(LDD*M), DC(LDDC*M1),  DK(LDDK*NP2), DWORK(LDWORK),
-     $           IWORK(LIWORK) )
-C
-      IF ( CONJOB.EQ.'M' ) THEN
-         ALLOCATE ( AD(LDAD*TOTORD), AE(LDAE*NE),     AKB(LDAK*NE),
-     $              BD(LDBD*(M1+F)), BE(LDBE*(M1+F)), BKB(LDBK*NP2),
-     $              CD(LDCD*TOTORD), CE(LDCE*NE),     CKB(LDCK*NE),
-     $              DD(LDDD*(M1+F)), DE(LDDE*(M1+F)), DKB(LDDK*NP2),
-     $              ITYPE(MNB), MJU(LENDAT), NBLOCK(MNB), OMEGA(LENDAT),
-     $              PMJU(LENDAT), RITYPE(MNB), RNBLCK(MNB),
-     $              ZWORK(LZWORK) )
-      END IF
-C
-C Copy right hand side arguments to local arrays.
-C
-      CALL mxCopyPtrToReal8( mxGetPr( PRHS(3) ), A, N*N )
-      CALL mxCopyPtrToReal8( mxGetPr( PRHS(4) ), B, N*M )
-      CALL mxCopyPtrToReal8( mxGetPr( PRHS(5) ), C, NP*N )
-      CALL mxCopyPtrToReal8( mxGetPr( PRHS(6) ), D, NP*M )
-C
-      IF ( CONJOB.EQ.'M' ) THEN
-         CALL mxCopyPtrToReal8( mxGetPr( PRHS(10) ), OMEGA, LENDAT )
-         CALL mxCopyPtrToReal8( mxGetPr( PRHS(11) ), RNBLCK, MNB )
-         CALL mxCopyPtrToReal8( mxGetPr( PRHS(12) ), RITYPE, MNB )
-C
-         DO 10 I = 1, MNB
-            NBLOCK(I) = INT( RNBLCK(I) )
-            ITYPE(I)  = INT( RITYPE(I) )
-   10    CONTINUE
-      END IF
-C
-C Do the actual computations.
-C
-C     Transform to continuous-case, if needed.
-C
-      IF ( DISCR.EQ.1 ) THEN
-         CALL AB04MD( 'D', N, M, NP, ONE, ONE, A, LDA, B, LDB, C, LDC,
-     $                D, LDD, IWORK, DWORK, LDWORK, INFO )
-C
-         IF ( INFO.NE.0 ) THEN
-            WRITE( TEXT, '('' INFO = '',I4,'' ON EXIT FROM AB04MD'')' )
-     $             INFO
-            GOTO 60
-         END IF
-C
-         IF ( CONJOB.EQ.'M' ) THEN
-C
-            DO 20 I = 1, LENDAT
-               OMEGA(I) = SQRT( ( ONE - COS( OMEGA(I) ) ) /
-     $                          ( ONE + COS( OMEGA(I) ) + TOL ) )
-   20       CONTINUE
-C
-         END IF
-C
-      END IF
-C
-C     Set parameters for the first K step.
-C
-      N2E  = 2*N
-      NE   = N
-      NEB  = N
-      ITER = 1
-C
-C     First K step - makes use of the original system.
-C
-      CALL SB10AD( JOB, N, M, NP, M2, NP2, GAMMA, A, LDA, B, LDB, C,
-     $             LDC, D, LDD, AK, LDA, BK, LDB, CK, LDCK, DK, LDDK,
-     $             AC, LDAC, BC, LDBC, CC, LDCC, DC, LDDC, RCOND, GTOL,
-     $             ACTOL, IWORK, LIWORK, DWORK, LDWORK, BWORK, LBWORK,
-     $             INFO )
-C
-      IF ( INFO.NE.0 ) THEN
-         WRITE( TEXT, '('' INFO = '',I4,'' ON EXIT FROM SB10AD'')' )
-     $          INFO
-         GOTO 60
-      END IF
-C
-C     Skip the D step if H_inf controller only desired.
-C
-      IF ( CONJOB.EQ.'H' )
-     $   GOTO 50
-C
-      PMPEAK = GAMMA + P01
-C
-C     Start the iteration process
-C     --------- D step -------------------------------------------------
-C
-   30 CONTINUE
-C
-         CALL SB10MD( N2E, NP1, LENDAT, F, ORD, MNB, NBLOCK, ITYPE,
-     $                QUTOL, AC, LDAC, BC, LDBC, CC, LDCC, DC, LDDC,
-     $                OMEGA, TOTORD, AD, LDAD, BD, LDBD, CD, LDCD, DD,
-     $                LDDD, MJU, IWORK, LIWORK, DWORK, LDWORK, ZWORK,
-     $                LZWORK, INFO )
-C
-         IF ( INFO.NE.0 ) THEN
-            WRITE( TEXT, '('' INFO = '',I4,'' ON EXIT FROM SB10MD'')' )
-     $             INFO
-            GOTO 60
-         END IF
-C
-C        Check mu.
-C
-         MUPEAK = ZERO
-C
-         DO 40 I = 1, LENDAT
-            MUPEAK = MAX( MUPEAK, MJU(I) )
-   40    CONTINUE
-C
-         IF ( MUPEAK.GT.PMPEAK ) THEN
-            IF ( ITER.NE.1 )
-     $         CALL DCOPY( LENDAT, PMJU, 1, MJU, 1 )
-            GOTO 50
-         ELSE
-C
-C           Save the best controller.
-C
-            PMPEAK = MUPEAK
-            ITERB  = ITER
-            NEB    = NE
-C
-            CALL DCOPY( LENDAT, MJU, 1, PMJU, 1 )
-            IF ( ITER.NE.1 ) THEN
-               CALL DCOPY( NE*NE,  AKB, 1, AK, 1 )
-               CALL DCOPY( NE*NP2, BKB, 1, BK, 1 )
-               CALL DCOPY( M2*NE,  CKB, 1, CK, 1 )
-               CALL DCOPY( M2*NP2, DKB, 1, DK, 1 )
-            END IF
-         END IF
-C
-         ITER = ITER + 1
-         IF ( ITER.GT.MAXIT )
-     $      GOTO 50
-C
-C        Dl*P.
-C
-         CALL AB05MD( 'U', 'N', N, M, NP, TOTORD, NP, A, LDA, B, LDB,
-     $                C, LDC, D, LDD, AD, LDAD, BD, LDBD, CD, LDCD, DD,
-     $                LDDD, NTEMP, AE, LDAE, BE, LDBE, CE, LDCE, DE,
-     $                LDDE, DWORK, LDWORK, INFO )
-C
-C        inv(Dr).
-C
-         CALL AB07ND( TOTORD, M, AD, LDAD, BD, LDBD, CD, LDCD, DD, LDDD,
-     $                TEMP, IWORK, DWORK, LDWORK, INFO )
-C
-         IF ( INFO.NE.0 ) THEN
-            WRITE( TEXT, '('' INFO = '',I4,'' ON EXIT FROM AB07ND'')' )
-     $             INFO
-            GOTO 60
-         END IF
-C
-C        Dl*P*inv(Dr).
-C
-         CALL AB05MD( 'U', 'O', TOTORD, M, M, NTEMP, NP, AD, LDAD, BD,
-     $                LDBD, CD, LDCD, DD, LDDD, AE, LDAE, BE, LDBE,
-     $                CE, LDCE, DE, LDDE, NE, AE, LDAE, BE, LDBE, CE,
-     $                LDCE, DE, LDDE, DWORK, LDWORK, INFO )
-         N2E  = 2*NE
-         LDAK = MAX( 1, NE )
-         LDBK = LDAK
-C
-C        --------- K step ----------------------------------------------
-C
-         CALL SB10AD( JOB, NE, M, NP, M2, NP2, GAMMA, AE, LDAE, BE,
-     $                LDBE, CE, LDCE, DE, LDDE, AKB, LDAK, BKB, LDBK,
-     $                CKB, LDCK, DKB, LDDK, AC, LDAC, BC, LDBC, CC,
-     $                LDCC, DC, LDDC, RCOND( 4*ITER-3 ), GTOL, ACTOL,
-     $                IWORK, LIWORK, DWORK, LDWORK, BWORK, LBWORK,
-     $                INFO )
-C
-         IF ( INFO.NE.0 ) THEN
-            INFO = 0
-            GOTO 50
-         END IF
-C
-      GOTO 30
-C
-C     ---- End of the mu synthesis -------------------------------------
-C
-   50 CONTINUE
-C
-C     Transform back to discrete time if needed.
-C
-      IF ( DISCR.EQ.1 ) THEN
-         CALL AB04MD( 'C', NEB, NP2, M2, ONE, ONE, AK, LDAK, BK, LDBK,
-     $                CK, LDCK, DK, LDDK, IWORK, DWORK, LDWORK, INFO )
-C
-         IF ( INFO.NE.0 ) THEN
-            WRITE( TEXT, '('' INFO = '',I4,'' ON EXIT FROM AB04MD'')' )
-     $             INFO
-            GOTO 60
-         END IF
-      END IF
-C
-C Copy output to MATLAB workspace.
-C
-      PLHS(1) = mxCreateDoubleMatrix( NEB, NEB, 0 )
-      PLHS(2) = mxCreateDoubleMatrix( NEB, NP2, 0 )
-      PLHS(3) = mxCreateDoubleMatrix( M2,  NEB, 0 )
-      PLHS(4) = mxCreateDoubleMatrix( M2,  NP2, 0 )
-      CALL mxCopyReal8ToPtr( AK, mxGetPr( PLHS(1) ), NEB*NEB )
-      CALL mxCopyReal8ToPtr( BK, mxGetPr( PLHS(2) ), NEB*NP2 )
-      CALL mxCopyReal8ToPtr( CK, mxGetPr( PLHS(3) ), M2*NEB )
-      CALL mxCopyReal8ToPtr( DK, mxGetPr( PLHS(4) ), M2*NP2 )
-C
-      IF ( NLHS.GE.5 ) THEN
-         IF ( CONJOB.EQ.'M' ) THEN
-C           mu
-            PLHS(5) = mxCreateDoubleMatrix( LENDAT, 1, 0 )
-            CALL mxCopyReal8ToPtr( MJU, mxGetPr( PLHS(5) ), LENDAT )
-            IF ( NLHS.GE.6 ) THEN
-               PLHS(6) = mxCreateDoubleMatrix( ITERB*4, 1, 0 )
-               CALL mxCopyReal8ToPtr( RCOND, mxGetPr( PLHS(6) ),
-     $                                ITERB*4 )
-            END IF
-         ELSE
-C           H_inf
-            PLHS(5) = mxCreateDoubleMatrix( 1, 1, 0 )
-            CALL mxCopyReal8ToPtr( GAMMA, mxGetPr( PLHS(5) ), 1 )
-            IF ( NLHS.GE.6 ) THEN
-               PLHS(6) = mxCreateDoubleMatrix( 4, 1, 0 )
-               CALL mxCopyReal8ToPtr( RCOND, mxGetPr( PLHS(6) ), 4 )
-            END IF
-         END IF
-      END IF
-C
-C Deallocate local arrays.
-C !Fortran 90/95
-C
-   60 CONTINUE
-C
-      DEALLOCATE ( A, AC, AK, B, BC, BK, BWORK, C, CC, CK, D, DC, DK,
-     $             DWORK, IWORK )
-C
-      IF ( CONJOB.EQ.'M' )
-     $   DEALLOCATE ( AD, AE, AKB, BD, BE, BKB, CD, CE, CKB, DD, DE,
-     $                DKB, ITYPE, MJU, NBLOCK, OMEGA, PMJU, RITYPE,
-     $                RNBLCK, ZWORK )
-C
-C Error and warning handling ..
-C
-      IF ( INFO.NE.0 )
-     $   CALL mexErrMsgTxt( TEXT )
-C
-      RETURN
-C
-C *** Last line of MUHOPT ***
-      END
--- a/extra/control-devel/devel/dksyn/select.f	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,27 +0,0 @@
-      LOGICAL FUNCTION  SELECT( PAR1, PAR2 )
-C
-C     SLICOT RELEASE 5.0.
-C
-C     Copyright (c) 2002-2010 NICONET e.V.
-C
-C     This program is free software: you can redistribute it and/or
-C     modify it under the terms of the GNU General Public License as
-C     published by the Free Software Foundation, either version 2 of
-C     the License, or (at your option) any later version.
-C
-C     This program is distributed in the hope that it will be useful,
-C     but WITHOUT ANY WARRANTY; without even the implied warranty of
-C     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-C     GNU General Public License for more details.
-C
-C     You should have received a copy of the GNU General Public License
-C     along with this program.  If not, see
-C     <http://www.gnu.org/licenses/>.
-C
-C     Void logical function for DGEES.
-C
-      DOUBLE PRECISION  PAR1, PAR2
-C
-      SELECT = .TRUE.
-      RETURN
-      END
--- a/extra/control-devel/devel/erie.dat	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,57 +0,0 @@
-   1.0000000e+00	   3.7000000e+00	   5.9000000e+02	   1.4700000e+02	   9.3000000e-01	   2.6900000e+02	   3.1145000e+00	   5.8163000e+02	   1.4701000e+02	   9.5210000e-01	   2.6958000e+02	   2.5289000e+00	   5.7326000e+02	   1.4703000e+02	   9.7420000e-01	   2.7017000e+02	   1.9434000e+00	   5.6489000e+02	   1.4704000e+02	   9.9630000e-01	   2.7075000e+02	   1.5100000e+01	   1.1001000e+04	   1.5103000e+01	   1.0820000e+04	   1.5105000e+01	   1.0638000e+04	   1.5108000e+01	   1.0457000e+04	
-   2.0000000e+00	   1.0300000e+01	   3.5000000e+02	   1.3600000e+02	   8.9000000e-01	   2.3700000e+02	   9.0367000e+00	   3.5832000e+02	   1.3538000e+02	   8.5518000e-01	   2.3520000e+02	   7.7735000e+00	   3.6664000e+02	   1.3476000e+02	   8.2036000e-01	   2.3340000e+02	   6.5102000e+00	   3.7496000e+02	   1.3413000e+02	   7.8554000e-01	   2.3160000e+02	   1.1700000e+01	   6.8380000e+03	   1.1908000e+01	   6.6498000e+03	   1.2116000e+01	   6.4615000e+03	   1.2324000e+01	   6.2733000e+03	
-   3.0000000e+00	   1.2000000e+01	   3.5400000e+02	   1.3400000e+02	   4.2000000e-01	   2.3100000e+02	   1.2261000e+01	   3.4871000e+02	   1.3458000e+02	   4.7440000e-01	   2.3327000e+02	   1.2521000e+01	   3.4342000e+02	   1.3516000e+02	   5.2880000e-01	   2.3553000e+02	   1.2782000e+01	   3.3813000e+02	   1.3574000e+02	   5.8320000e-01	   2.3780000e+02	   9.2000000e+00	   3.8830000e+03	   9.3272000e+00	   3.8519000e+03	   9.4545000e+00	   3.8208000e+03	   9.5817000e+00	   3.7897000e+03	
-   4.0000000e+00	   1.9300000e+01	   3.3000000e+02	   1.3900000e+02	   5.3000000e-01	   2.1700000e+02	   1.6955000e+01	   3.4008000e+02	   1.3859000e+02	   5.7118000e-01	   2.1643000e+02	   1.4609000e+01	   3.5017000e+02	   1.3817000e+02	   6.1236000e-01	   2.1586000e+02	   1.2264000e+01	   3.6025000e+02	   1.3776000e+02	   6.5354000e-01	   2.1530000e+02	   7.1821000e+00	   4.2750000e+03	   7.0040000e+00	   4.4064000e+03	   6.8260000e+00	   4.5378000e+03	   6.6480000e+00	   4.6692000e+03	
-   5.0000000e+00	   2.2300000e+01	   3.1200000e+02	   9.9000000e+01	   5.3000000e-01	   1.4400000e+02	   2.3995000e+01	   3.1678000e+02	   9.9816000e+01	   5.7336000e-01	   1.4049000e+02	   2.5690000e+01	   3.2156000e+02	   1.0063000e+02	   6.1673000e-01	   1.3698000e+02	   2.7385000e+01	   3.2634000e+02	   1.0145000e+02	   6.6009000e-01	   1.3347000e+02	   6.3618000e+00	   1.6240000e+03	   6.1731000e+00	   1.9356000e+03	   5.9845000e+00	   2.2472000e+03	   5.7959000e+00	   2.5588000e+03	
-   6.0000000e+00	   2.3900000e+01	   3.0000000e+02	   9.2000000e+01	   1.9000000e-01	   1.2600000e+02	   2.3104000e+01	   2.9823000e+02	   8.8809000e+01	   2.2017000e-01	   1.2541000e+02	   2.2309000e+01	   2.9646000e+02	   8.5617000e+01	   2.5034000e-01	   1.2482000e+02	   2.1513000e+01	   2.9469000e+02	   8.2426000e+01	   2.8051000e-01	   1.2424000e+02	   6.8801000e+00	   2.2483000e+03	   6.4963000e+00	   1.9822000e+03	   6.1125000e+00	   1.7161000e+03	   5.7287000e+00	   1.4500000e+03	
-   7.0000000e+00	   2.0400000e+01	   2.9000000e+02	   9.3000000e+01	   9.0000000e-02	   1.2700000e+02	   2.0538000e+01	   2.8609000e+02	   9.3713000e+01	   8.9718000e-02	   1.2683000e+02	   2.0675000e+01	   2.8218000e+02	   9.4427000e+01	   8.9437000e-02	   1.2665000e+02	   2.0813000e+01	   2.7827000e+02	   9.5140000e+01	   8.9155000e-02	   1.2648000e+02	   6.8898000e+00	   3.9738000e+03	   6.8328000e+00	   4.0152000e+03	   6.7759000e+00	   4.0566000e+03	   6.7189000e+00	   4.0981000e+03	
-   8.0000000e+00	   1.4600000e+01	   3.0700000e+02	   9.8000000e+01	   1.6000000e-01	   1.3400000e+02	   1.5186000e+01	   3.0894000e+02	   9.7017000e+01	   1.9783000e-01	   1.3504000e+02	   1.5771000e+01	   3.1087000e+02	   9.6035000e+01	   2.3567000e-01	   1.3609000e+02	   1.6357000e+01	   3.1281000e+02	   9.5052000e+01	   2.7350000e-01	   1.3713000e+02	   7.8991000e+00	   2.0383000e+03	   7.6782000e+00	   2.4571000e+03	   7.4573000e+00	   2.8758000e+03	   7.2363000e+00	   3.2945000e+03	
-   9.0000000e+00	   7.5000000e+00	   3.2800000e+02	   1.0000000e+02	   1.6000000e-01	   1.3500000e+02	   7.7212000e+00	   3.3019000e+02	   9.7981000e+01	   1.8122000e-01	   1.3467000e+02	   7.9423000e+00	   3.3238000e+02	   9.5962000e+01	   2.0243000e-01	   1.3435000e+02	   8.1635000e+00	   3.3457000e+02	   9.3943000e+01	   2.2365000e-01	   1.3402000e+02	   1.0221000e+01	   2.1588000e+03	   9.9070000e+00	   2.0836000e+03	   9.5930000e+00	   2.0084000e+03	   9.2791000e+00	   1.9333000e+03	
-   1.0000000e+01	   1.9000000e+00	   3.2800000e+02	   1.0200000e+02	   3.4000000e-01	   1.4100000e+02	   1.1252000e+00	   3.2008000e+02	   1.0231000e+02	   4.3967000e-01	   1.3913000e+02	   3.5037000e-01	   3.1216000e+02	   1.0263000e+02	   5.3933000e-01	   1.3726000e+02	  -4.2445000e-01	   3.0423000e+02	   1.0294000e+02	   6.3900000e-01	   1.3539000e+02	   1.2500000e+01	   2.5214000e+03	   1.2597000e+01	   2.6088000e+03	   1.2694000e+01	   2.6963000e+03	   1.2791000e+01	   2.7837000e+03	
-   1.1000000e+01	   6.0000000e-01	   3.2900000e+02	   1.0100000e+02	   1.8600000e+00	   1.4500000e+02	   8.9867000e-02	   3.2403000e+02	   1.0161000e+02	   1.8850000e+00	   1.4286000e+02	  -4.2027000e-01	   3.1906000e+02	   1.0223000e+02	   1.9099000e+00	   1.4071000e+02	  -9.3040000e-01	   3.1409000e+02	   1.0284000e+02	   1.9349000e+00	   1.3857000e+02	   1.2840000e+01	   1.0951000e+03	   1.2839000e+01	   1.5274000e+03	   1.2838000e+01	   1.9597000e+03	   1.2837000e+01	   2.3920000e+03	
-   1.2000000e+01	   7.0000000e-01	   3.1700000e+02	   9.4000000e+01	   1.7900000e+00	   1.3700000e+02	   1.7621000e+00	   3.2365000e+02	   9.6855000e+01	   1.7572000e+00	   1.3005000e+02	   2.8242000e+00	   3.3031000e+02	   9.9709000e+01	   1.7243000e+00	   1.2310000e+02	   3.8863000e+00	   3.3696000e+02	   1.0256000e+02	   1.6915000e+00	   1.1615000e+02	   1.2200000e+01	   1.3970000e+03	   1.2637000e+01	   1.3155000e+03	   1.3074000e+01	   1.2340000e+03	   1.3511000e+01	   1.1525000e+03	
-   1.3000000e+01	   2.6000000e+00	   3.3000000e+02	   1.0000000e+02	   3.0000000e-01	   1.4100000e+02	   2.8496000e+00	   3.2963000e+02	   1.0136000e+02	   2.6840000e-01	   1.3946000e+02	   3.0992000e+00	   3.2925000e+02	   1.0272000e+02	   2.3681000e-01	   1.3792000e+02	   3.3489000e+00	   3.2888000e+02	   1.0409000e+02	   2.0521000e-01	   1.3638000e+02	   1.3079000e+01	   5.8799000e+03	   1.2661000e+01	   5.9541000e+03	   1.2244000e+01	   6.0282000e+03	   1.1826000e+01	   6.1024000e+03	
-   1.4000000e+01	   8.0000000e+00	   3.7100000e+02	   1.0500000e+02	   6.3000000e-01	   1.6700000e+02	   9.1160000e+00	   3.7616000e+02	   1.0339000e+02	   5.3205000e-01	   1.6664000e+02	   1.0232000e+01	   3.8132000e+02	   1.0178000e+02	   4.3410000e-01	   1.6629000e+02	   1.1348000e+01	   3.8649000e+02	   1.0017000e+02	   3.3615000e-01	   1.6593000e+02	   1.0369000e+01	   2.8351000e+03	   1.0314000e+01	   2.6667000e+03	   1.0258000e+01	   2.4983000e+03	   1.0203000e+01	   2.3299000e+03	
-   1.5000000e+01	   1.3700000e+01	   3.6000000e+02	   1.0600000e+02	   2.5000000e-01	   1.6500000e+02	   1.4034000e+01	   3.5580000e+02	   1.0711000e+02	   1.8465000e-01	   1.6580000e+02	   1.4368000e+01	   3.5160000e+02	   1.0823000e+02	   1.1931000e-01	   1.6660000e+02	   1.4702000e+01	   3.4741000e+02	   1.0934000e+02	   5.3964000e-02	   1.6740000e+02	   7.9369000e+00	   2.1869000e+03	   7.9194000e+00	   2.2512000e+03	   7.9019000e+00	   2.3155000e+03	   7.8844000e+00	   2.3798000e+03	
-   1.6000000e+01	   1.8200000e+01	   3.3300000e+02	   1.0500000e+02	   1.6000000e-01	   1.5800000e+02	   1.8374000e+01	   3.2893000e+02	   1.0377000e+02	   1.4351000e-01	   1.5721000e+02	   1.8547000e+01	   3.2485000e+02	   1.0253000e+02	   1.2702000e-01	   1.5642000e+02	   1.8721000e+01	   3.2078000e+02	   1.0130000e+02	   1.1052000e-01	   1.5564000e+02	   6.9197000e+00	   2.6760000e+03	   6.9202000e+00	   2.7458000e+03	   6.9207000e+00	   2.8155000e+03	   6.9212000e+00	   2.8852000e+03	
-   1.7000000e+01	   2.3100000e+01	   3.4100000e+02	   1.0600000e+02	   6.0000000e-01	   1.5500000e+02	   2.3337000e+01	   3.3886000e+02	   1.0515000e+02	   5.5670000e-01	   1.5007000e+02	   2.3574000e+01	   3.3672000e+02	   1.0429000e+02	   5.1341000e-01	   1.4515000e+02	   2.3811000e+01	   3.3458000e+02	   1.0344000e+02	   4.7012000e-01	   1.4022000e+02	   6.0534000e+00	   6.5367000e+02	   6.1792000e+00	   4.5818000e+02	   6.3049000e+00	   2.6269000e+02	   6.4306000e+00	   6.7195000e+01	
-   1.8000000e+01	   2.4400000e+01	   3.1700000e+02	   9.6000000e+01	   1.5000000e-01	   1.3700000e+02	   2.5773000e+01	   3.2141000e+02	   9.6602000e+01	   1.7375000e-01	   1.3417000e+02	   2.7147000e+01	   3.2583000e+02	   9.7203000e+01	   1.9751000e-01	   1.3134000e+02	   2.8520000e+01	   3.3024000e+02	   9.7805000e+01	   2.2126000e-01	   1.2851000e+02	   5.6118000e+00	   1.2498000e+03	   5.6473000e+00	   9.6790000e+02	   5.6827000e+00	   6.8599000e+02	   5.7181000e+00	   4.0408000e+02	
-   1.9000000e+01	   2.0600000e+01	   2.8600000e+02	   8.2000000e+01	   8.0000000e-02	   1.2300000e+02	   2.0243000e+01	   2.7550000e+02	   8.1172000e+01	   3.7005000e-03	   1.2453000e+02	   1.9885000e+01	   2.6500000e+02	   8.0343000e+01	  -7.2599000e-02	   1.2606000e+02	   1.9528000e+01	   2.5450000e+02	   7.9515000e+01	  -1.4890000e-01	   1.2759000e+02	   5.9670000e+00	   1.9248000e+03	   5.7545000e+00	   1.8157000e+03	   5.5421000e+00	   1.7067000e+03	   5.3297000e+00	   1.5976000e+03	
-   2.0000000e+01	   1.4100000e+01	   3.7000000e+02	   9.0000000e+01	   2.0000000e-01	   1.2600000e+02	   1.3765000e+01	   3.7158000e+02	   8.9533000e+01	   1.6860000e-01	   1.2957000e+02	   1.3431000e+01	   3.7317000e+02	   8.9066000e+01	   1.3720000e-01	   1.3315000e+02	   1.3096000e+01	   3.7475000e+02	   8.8598000e+01	   1.0581000e-01	   1.3672000e+02	   7.5455000e+00	   1.4240000e+03	   7.2517000e+00	   1.6983000e+03	   6.9578000e+00	   1.9726000e+03	   6.6640000e+00	   2.2469000e+03	
-   2.1000000e+01	   7.0000000e+00	   4.0600000e+02	   9.0000000e+01	   2.8000000e-01	   1.3100000e+02	   7.3473000e+00	   4.0357000e+02	   8.9741000e+01	   3.0234000e-01	   1.3288000e+02	   7.6945000e+00	   4.0115000e+02	   8.9482000e+01	   3.2468000e-01	   1.3475000e+02	   8.0418000e+00	   3.9872000e+02	   8.9223000e+01	   3.4702000e-01	   1.3663000e+02	   8.9543000e+00	   3.3762000e+02	   8.5805000e+00	   5.5835000e+02	   8.2067000e+00	   7.7908000e+02	   7.8329000e+00	   9.9981000e+02	
-   2.2000000e+01	   1.0000000e+00	   3.2800000e+02	   9.6000000e+01	   3.8000000e-01	   1.4200000e+02	   8.4949000e-01	   3.2930000e+02	   9.5490000e+01	   3.4574000e-01	   1.3899000e+02	   6.9898000e-01	   3.3061000e+02	   9.4980000e+01	   3.1149000e-01	   1.3598000e+02	   5.4847000e-01	   3.3191000e+02	   9.4470000e+01	   2.7723000e-01	   1.3297000e+02	   1.1534000e+01	   1.5653000e+03	   1.1704000e+01	   1.7501000e+03	   1.1874000e+01	   1.9350000e+03	   1.2044000e+01	   2.1198000e+03	
-   2.3000000e+01	   9.0000000e-01	   3.4300000e+02	   1.0000000e+02	   5.1000000e-01	   1.4300000e+02	   1.7834000e+00	   3.3280000e+02	   9.9195000e+01	   5.7671000e-01	   1.4450000e+02	   2.6668000e+00	   3.2260000e+02	   9.8391000e+01	   6.4342000e-01	   1.4600000e+02	   3.5501000e+00	   3.1240000e+02	   9.7586000e+01	   7.1013000e-01	   1.4749000e+02	   1.1803000e+01	   1.2296000e+03	   1.1819000e+01	   1.2381000e+03	   1.1836000e+01	   1.2466000e+03	   1.1853000e+01	   1.2551000e+03	
-   2.4000000e+01	   1.1000000e+00	   4.6500000e+02	   1.1800000e+02	   1.7600000e+00	   1.9100000e+02	   2.0522000e+00	   4.6886000e+02	   1.1714000e+02	   1.7622000e+00	   1.9036000e+02	   3.0044000e+00	   4.7272000e+02	   1.1629000e+02	   1.7643000e+00	   1.8972000e+02	   3.9566000e+00	   4.7658000e+02	   1.1543000e+02	   1.7665000e+00	   1.8908000e+02	   1.2029000e+01	   1.4752000e+02	   1.1823000e+01	   3.4673000e+01	   1.1618000e+01	  -7.8174000e+01	   1.1412000e+01	  -1.9102000e+02	
-   2.5000000e+01	   1.4000000e+00	   3.6900000e+02	   1.0200000e+02	   2.6000000e-01	   1.5700000e+02	   3.5949000e+00	   3.7613000e+02	   1.0328000e+02	   2.5764000e-01	   1.6118000e+02	   5.7898000e+00	   3.8325000e+02	   1.0456000e+02	   2.5529000e-01	   1.6537000e+02	   7.9847000e+00	   3.9038000e+02	   1.0584000e+02	   2.5293000e-01	   1.6955000e+02	   1.3116000e+01	   4.6427000e+03	   1.3049000e+01	   4.4656000e+03	   1.2982000e+01	   4.2885000e+03	   1.2915000e+01	   4.1115000e+03	
-   2.6000000e+01	   6.9000000e+00	   3.7600000e+02	   1.0300000e+02	   2.4000000e-01	   1.6300000e+02	   6.3879000e+00	   3.8035000e+02	   1.0197000e+02	   2.3131000e-01	   1.5902000e+02	   5.8758000e+00	   3.8470000e+02	   1.0095000e+02	   2.2261000e-01	   1.5505000e+02	   5.3638000e+00	   3.8905000e+02	   9.9922000e+01	   2.1392000e-01	   1.5107000e+02	   1.1029000e+01	   2.1075000e+03	   1.1514000e+01	   2.0658000e+03	   1.1999000e+01	   2.0240000e+03	   1.2484000e+01	   1.9823000e+03	
-   2.7000000e+01	   1.4900000e+01	   3.2900000e+02	   1.0000000e+02	   8.0000000e-02	   1.4700000e+02	   1.4677000e+01	   3.3070000e+02	   9.9671000e+01	   2.0175000e-02	   1.4834000e+02	   1.4454000e+01	   3.3239000e+02	   9.9342000e+01	  -3.9651000e-02	   1.4967000e+02	   1.4230000e+01	   3.3409000e+02	   9.9013000e+01	  -9.9476000e-02	   1.5101000e+02	   7.1788000e+00	   2.6251000e+03	   7.0070000e+00	   2.5547000e+03	   6.8351000e+00	   2.4842000e+03	   6.6632000e+00	   2.4137000e+03	
-   2.8000000e+01	   1.9000000e+01	   3.5600000e+02	   9.9000000e+01	   1.7000000e-01	   1.4000000e+02	   1.9134000e+01	   3.5501000e+02	   9.8714000e+01	   1.7646000e-01	   1.3522000e+02	   1.9268000e+01	   3.5402000e+02	   9.8429000e+01	   1.8292000e-01	   1.3043000e+02	   1.9403000e+01	   3.5303000e+02	   9.8143000e+01	   1.8938000e-01	   1.2565000e+02	   6.9445000e+00	   2.9250000e+03	   7.0012000e+00	   2.9022000e+03	   7.0579000e+00	   2.8793000e+03	   7.1147000e+00	   2.8565000e+03	
-   2.9000000e+01	   2.3200000e+01	   3.1500000e+02	   9.8000000e+01	   3.1000000e-01	   1.3100000e+02	   2.4716000e+01	   3.2129000e+02	   9.7262000e+01	   4.0496000e-01	   1.2767000e+02	   2.6232000e+01	   3.2759000e+02	   9.6523000e+01	   4.9992000e-01	   1.2434000e+02	   2.7748000e+01	   3.3388000e+02	   9.5785000e+01	   5.9488000e-01	   1.2101000e+02	   6.6144000e+00	   2.0644000e+03	   6.8971000e+00	   2.2495000e+03	   7.1798000e+00	   2.4347000e+03	   7.4624000e+00	   2.6198000e+03	
-   3.0000000e+01	   2.4400000e+01	   3.0400000e+02	   9.2000000e+01	   2.4000000e-01	   1.2700000e+02	   2.4326000e+01	   3.0146000e+02	   9.3074000e+01	   2.0664000e-01	   1.2688000e+02	   2.4252000e+01	   2.9893000e+02	   9.4147000e+01	   1.7327000e-01	   1.2676000e+02	   2.4178000e+01	   2.9639000e+02	   9.5221000e+01	   1.3991000e-01	   1.2664000e+02	   5.4806000e+00	   9.1526000e+02	   6.2731000e+00	   1.3864000e+03	   7.0656000e+00	   1.8576000e+03	   7.8581000e+00	   2.3287000e+03	
-   3.1000000e+01	   2.1000000e+01	   2.9000000e+02	   8.9000000e+01	   3.8000000e-01	   1.2400000e+02	   2.1877000e+01	   2.7681000e+02	   9.1331000e+01	   3.8685000e-01	   1.2318000e+02	   2.2755000e+01	   2.6362000e+02	   9.3663000e+01	   3.9371000e-01	   1.2236000e+02	   2.3632000e+01	   2.5042000e+02	   9.5994000e+01	   4.0056000e-01	   1.2153000e+02	   5.9610000e+00	   2.1883000e+03	   5.8529000e+00	   1.9707000e+03	   5.7448000e+00	   1.7531000e+03	   5.6367000e+00	   1.5355000e+03	
-   3.2000000e+01	   1.4900000e+01	   3.2700000e+02	   9.7000000e+01	   2.5000000e-01	   1.2900000e+02	   1.4088000e+01	   3.2207000e+02	   9.8103000e+01	   3.1933000e-01	   1.3091000e+02	   1.3276000e+01	   3.1713000e+02	   9.9206000e+01	   3.8866000e-01	   1.3281000e+02	   1.2463000e+01	   3.1220000e+02	   1.0031000e+02	   4.5798000e-01	   1.3472000e+02	   7.8417000e+00	   1.6283000e+03	   8.0381000e+00	   1.8826000e+03	   8.2344000e+00	   2.1368000e+03	   8.4307000e+00	   2.3911000e+03	
-   3.3000000e+01	   8.6000000e+00	   3.0900000e+02	   9.2000000e+01	   2.7000000e-01	   1.2400000e+02	   7.5296000e+00	   3.0602000e+02	   9.2000000e+01	   2.6647000e-01	   1.2107000e+02	   6.4592000e+00	   3.0305000e+02	   9.1999000e+01	   2.6293000e-01	   1.1813000e+02	   5.3889000e+00	   3.0007000e+02	   9.1999000e+01	   2.5940000e-01	   1.1520000e+02	   9.3533000e+00	   1.3699000e+03	   9.0012000e+00	   1.5334000e+03	   8.6492000e+00	   1.6969000e+03	   8.2971000e+00	   1.8604000e+03	
-   3.4000000e+01	   2.5000000e+00	   3.4000000e+02	   1.0100000e+02	   9.2000000e-01	   1.5100000e+02	   1.9609000e+00	   3.4210000e+02	   1.0205000e+02	   9.3354000e-01	   1.5565000e+02	   1.4217000e+00	   3.4420000e+02	   1.0310000e+02	   9.4707000e-01	   1.6029000e+02	   8.8262000e-01	   3.4630000e+02	   1.0416000e+02	   9.6061000e-01	   1.6494000e+02	   1.1552000e+01	   8.9206000e+02	   1.1038000e+01	   9.3857000e+02	   1.0525000e+01	   9.8508000e+02	   1.0011000e+01	   1.0316000e+03	
-   3.5000000e+01	   7.0000000e-01	   3.1900000e+02	   1.0000000e+02	   6.1000000e-01	   1.4100000e+02	   1.8211000e+00	   3.1137000e+02	   1.0064000e+02	   4.9515000e-01	   1.3664000e+02	   2.9423000e+00	   3.0374000e+02	   1.0128000e+02	   3.8031000e-01	   1.3228000e+02	   4.0634000e+00	   2.9611000e+02	   1.0192000e+02	   2.6546000e-01	   1.2791000e+02	   1.2692000e+01	   2.9209000e+03	   1.2729000e+01	   2.8396000e+03	   1.2766000e+01	   2.7584000e+03	   1.2804000e+01	   2.6771000e+03	
-   3.6000000e+01	   5.0000000e-01	   2.7100000e+02	   8.5000000e+01	   4.2000000e-01	   1.2000000e+02	   1.7151000e+00	   2.7264000e+02	   8.3098000e+01	   4.3534000e-01	   1.1958000e+02	   2.9302000e+00	   2.7428000e+02	   8.1196000e+01	   4.5067000e-01	   1.1915000e+02	   4.1453000e+00	   2.7592000e+02	   7.9294000e+01	   4.6601000e-01	   1.1873000e+02	   1.1847000e+01	   2.9915000e+03	   1.1940000e+01	   3.1021000e+03	   1.2034000e+01	   3.2127000e+03	   1.2127000e+01	   3.3232000e+03	
-   3.7000000e+01	   1.7000000e+00	   3.1700000e+02	   8.9000000e+01	   1.3900000e+00	   1.3800000e+02	   3.6014000e+00	   3.1296000e+02	   8.8728000e+01	   1.4214000e+00	   1.3702000e+02	   5.5029000e+00	   3.0892000e+02	   8.8455000e+01	   1.4529000e+00	   1.3604000e+02	   7.4043000e+00	   3.0487000e+02	   8.8183000e+01	   1.4843000e+00	   1.3506000e+02	   1.0925000e+01	   2.2067000e+03	   1.0866000e+01	   2.4495000e+03	   1.0806000e+01	   2.6923000e+03	   1.0746000e+01	   2.9350000e+03	
-   3.8000000e+01	   7.1000000e+00	   3.3100000e+02	   9.9000000e+01	   7.6000000e-01	   1.4900000e+02	   7.0039000e+00	   3.2940000e+02	   1.0032000e+02	   8.1783000e-01	   1.5307000e+02	   6.9079000e+00	   3.2780000e+02	   1.0164000e+02	   8.7566000e-01	   1.5714000e+02	   6.8118000e+00	   3.2620000e+02	   1.0296000e+02	   9.3349000e-01	   1.6121000e+02	   1.0162000e+01	   2.9916000e+03	   9.9607000e+00	   3.1980000e+03	   9.7595000e+00	   3.4044000e+03	   9.5583000e+00	   3.6108000e+03	
-   3.9000000e+01	   1.3500000e+01	   3.0200000e+02	   9.2000000e+01	   8.1000000e-01	   1.3500000e+02	   1.3351000e+01	   2.9856000e+02	   9.4486000e+01	   8.0669000e-01	   1.3633000e+02	   1.3203000e+01	   2.9511000e+02	   9.6972000e+01	   8.0337000e-01	   1.3766000e+02	   1.3054000e+01	   2.9167000e+02	   9.9457000e+01	   8.0006000e-01	   1.3898000e+02	   8.2172000e+00	   2.9508000e+03	   8.7254000e+00	   2.9032000e+03	   9.2336000e+00	   2.8556000e+03	   9.7418000e+00	   2.8080000e+03	
-   4.0000000e+01	   2.0200000e+01	   3.2200000e+02	   9.2000000e+01	   6.9000000e-01	   1.3900000e+02	   2.1094000e+01	   3.3126000e+02	   9.3353000e+01	   6.6806000e-01	   1.3950000e+02	   2.1987000e+01	   3.4053000e+02	   9.4707000e+01	   6.4612000e-01	   1.4000000e+02	   2.2881000e+01	   3.4979000e+02	   9.6060000e+01	   6.2418000e-01	   1.4051000e+02	   5.4001000e+00	   1.8132000e+02	   5.5019000e+00	   4.3807000e+02	   5.6036000e+00	   6.9482000e+02	   5.7053000e+00	   9.5157000e+02	
-   4.1000000e+01	   2.3600000e+01	   3.0500000e+02	   9.3000000e+01	   3.0000000e-01	   1.2800000e+02	   2.2760000e+01	   3.1011000e+02	   9.4742000e+01	   3.0167000e-01	   1.3164000e+02	   2.1919000e+01	   3.1521000e+02	   9.6483000e+01	   3.0335000e-01	   1.3527000e+02	   2.1079000e+01	   3.2032000e+02	   9.8225000e+01	   3.0502000e-01	   1.3891000e+02	   4.9960000e+00	   3.1067000e+03	   4.5675000e+00	   2.9019000e+03	   4.1390000e+00	   2.6971000e+03	   3.7105000e+00	   2.4922000e+03	
-   4.2000000e+01	   2.2700000e+01	   2.9000000e+02	   9.0000000e+01	   3.0000000e-02	   1.2300000e+02	   2.2709000e+01	   2.8488000e+02	   8.8976000e+01	  -5.7520000e-02	   1.1924000e+02	   2.2718000e+01	   2.7975000e+02	   8.7953000e+01	  -1.4504000e-01	   1.1548000e+02	   2.2727000e+01	   2.7463000e+02	   8.6929000e+01	  -2.3256000e-01	   1.1171000e+02	   4.6419000e+00	   1.0570000e+03	   4.8364000e+00	   1.1669000e+03	   5.0310000e+00	   1.2768000e+03	   5.2255000e+00	   1.3866000e+03	
-   4.3000000e+01	   2.0600000e+01	   3.0400000e+02	   9.1000000e+01	   2.0000000e-02	   1.2400000e+02	   1.9255000e+01	   2.9501000e+02	   8.9534000e+01	   4.0403000e-02	   1.2159000e+02	   1.7909000e+01	   2.8602000e+02	   8.8067000e+01	   6.0806000e-02	   1.1918000e+02	   1.6564000e+01	   2.7704000e+02	   8.6601000e+01	   8.1210000e-02	   1.1677000e+02	   5.5997000e+00	   8.3792000e+02	   5.4847000e+00	   1.0612000e+03	   5.3697000e+00	   1.2845000e+03	   5.2547000e+00	   1.5078000e+03	
-   4.4000000e+01	   1.6900000e+01	   2.9900000e+02	   8.8000000e+01	   1.0000000e-02	   1.2100000e+02	   1.6137000e+01	   2.8608000e+02	   8.7776000e+01	  -5.7846000e-02	   1.2497000e+02	   1.5373000e+01	   2.7317000e+02	   8.7552000e+01	  -1.2569000e-01	   1.2894000e+02	   1.4610000e+01	   2.6025000e+02	   8.7328000e+01	  -1.9354000e-01	   1.3292000e+02	   6.8143000e+00	   9.8747000e+02	   6.5831000e+00	   1.2349000e+03	   6.3520000e+00	   1.4824000e+03	   6.1208000e+00	   1.7299000e+03	
-   4.5000000e+01	   9.6000000e+00	   2.9000000e+02	   9.1000000e+01	   1.8000000e-01	   1.2600000e+02	   1.1597000e+01	   2.8840000e+02	   8.9274000e+01	   2.1845000e-01	   1.3112000e+02	   1.3594000e+01	   2.8681000e+02	   8.7548000e+01	   2.5690000e-01	   1.3624000e+02	   1.5591000e+01	   2.8521000e+02	   8.5821000e+01	   2.9535000e-01	   1.4136000e+02	   8.8926000e+00	   1.8587000e+03	   9.0529000e+00	   1.9118000e+03	   9.2131000e+00	   1.9649000e+03	   9.3733000e+00	   2.0179000e+03	
-   4.6000000e+01	   3.2000000e+00	   3.3000000e+02	   8.9000000e+01	   2.2000000e-01	   1.3100000e+02	   3.3971000e+00	   3.2025000e+02	   8.8500000e+01	   2.3910000e-01	   1.2937000e+02	   3.5942000e+00	   3.1049000e+02	   8.8000000e+01	   2.5820000e-01	   1.2774000e+02	   3.7913000e+00	   3.0074000e+02	   8.7500000e+01	   2.7730000e-01	   1.2611000e+02	   1.0658000e+01	   1.3863000e+03	   1.0901000e+01	   1.6101000e+03	   1.1145000e+01	   1.8338000e+03	   1.1388000e+01	   2.0575000e+03	
-   4.7000000e+01	   7.0000000e-01	   3.3500000e+02	   9.6000000e+01	   2.6000000e-01	   1.4900000e+02	   5.0913000e-01	   3.3862000e+02	   9.6497000e+01	   3.1548000e-01	   1.5242000e+02	   3.1826000e-01	   3.4224000e+02	   9.6994000e+01	   3.7096000e-01	   1.5584000e+02	   1.2739000e-01	   3.4585000e+02	   9.7491000e+01	   4.2643000e-01	   1.5926000e+02	   1.2199000e+01	   2.0399000e+03	   1.1942000e+01	   1.9097000e+03	   1.1685000e+01	   1.7795000e+03	   1.1428000e+01	   1.6493000e+03	
-   4.8000000e+01	   8.0000000e-01	   4.2000000e+02	   9.8000000e+01	   1.0600000e+00	   1.5500000e+02	   9.0429000e-01	   4.1227000e+02	   9.7193000e+01	   1.0897000e+00	   1.5279000e+02	   1.0086000e+00	   4.0453000e+02	   9.6386000e+01	   1.1194000e+00	   1.5058000e+02	   1.1129000e+00	   3.9680000e+02	   9.5579000e+01	   1.1490000e+00	   1.4837000e+02	   1.2299000e+01	   1.5762000e+03	   1.1776000e+01	   1.6418000e+03	   1.1253000e+01	   1.7073000e+03	   1.0729000e+01	   1.7729000e+03	
-   4.9000000e+01	   1.9000000e+00	   3.2500000e+02	   9.1000000e+01	   7.3000000e-01	   1.4300000e+02	   1.0020000e+00	   3.3190000e+02	   8.9819000e+01	   6.6673000e-01	   1.4271000e+02	   1.0403000e-01	   3.3880000e+02	   8.8639000e+01	   6.0347000e-01	   1.4242000e+02	  -7.9396000e-01	   3.4570000e+02	   8.7458000e+01	   5.4020000e-01	   1.4214000e+02	   1.0758000e+01	   1.8956000e+03	   1.1623000e+01	   1.6330000e+03	   1.2488000e+01	   1.3704000e+03	   1.3353000e+01	   1.1078000e+03	
-   5.0000000e+01	   7.7000000e+00	   3.9100000e+02	   1.0000000e+02	   1.3200000e+00	   1.7200000e+02	   7.3008000e+00	   3.9338000e+02	   9.9201000e+01	   1.2141000e+00	   1.7078000e+02	   6.9015000e+00	   3.9576000e+02	   9.8402000e+01	   1.1081000e+00	   1.6957000e+02	   6.5023000e+00	   3.9815000e+02	   9.7603000e+01	   1.0022000e+00	   1.6835000e+02	   9.7454000e+00	   5.2948000e+02	   9.3058000e+00	   2.3864000e+02	   8.8661000e+00	  -5.2197000e+01	   8.4265000e+00	  -3.4304000e+02	
-   5.1000000e+01	   1.4800000e+01	   4.9700000e+02	   1.0200000e+02	   2.0100000e+00	   1.6400000e+02	   1.4854000e+01	   5.0175000e+02	   1.0204000e+02	   1.9939000e+00	   1.6173000e+02	   1.4907000e+01	   5.0651000e+02	   1.0207000e+02	   1.9779000e+00	   1.5946000e+02	   1.4961000e+01	   5.1126000e+02	   1.0211000e+02	   1.9618000e+00	   1.5720000e+02	   7.7542000e+00	   2.1092000e+02	   7.4406000e+00	   1.6812000e+02	   7.1271000e+00	   1.2531000e+02	   6.8135000e+00	   8.2509000e+01	
-   5.2000000e+01	   1.9100000e+01	   3.7000000e+02	   1.0000000e+02	   1.0700000e+00	   1.5200000e+02	   1.9086000e+01	   3.7169000e+02	   1.0033000e+02	   1.0895000e+00	   1.4986000e+02	   1.9071000e+01	   3.7338000e+02	   1.0066000e+02	   1.1090000e+00	   1.4771000e+02	   1.9057000e+01	   3.7506000e+02	   1.0100000e+02	   1.1285000e+00	   1.4557000e+02	   5.3767000e+00	  -2.5834000e+02	   5.4049000e+00	  -1.1028000e+02	   5.4331000e+00	   3.7790000e+01	   5.4613000e+00	   1.8585000e+02	
-   5.3000000e+01	   2.1900000e+01	   3.2400000e+02	   9.4000000e+01	   8.0000000e-02	   1.3900000e+02	   2.1301000e+01	   3.2326000e+02	   9.3173000e+01	   1.1597000e-01	   1.3890000e+02	   2.0702000e+01	   3.2252000e+02	   9.2347000e+01	   1.5194000e-01	   1.3880000e+02	   2.0102000e+01	   3.2178000e+02	   9.1520000e+01	   1.8792000e-01	   1.3870000e+02	   4.8905000e+00	   1.4666000e+03	   4.7310000e+00	   1.4452000e+03	   4.5714000e+00	   1.4237000e+03	   4.4119000e+00	   1.4023000e+03	
-   5.4000000e+01	   2.2200000e+01	   3.0800000e+02	   9.5000000e+01	   1.0000000e-01	   1.3700000e+02	   2.0978000e+01	   3.1130000e+02	   9.4547000e+01	   3.9649000e-02	   1.3627000e+02	   1.9756000e+01	   3.1459000e+02	   9.4094000e+01	  -2.0702000e-02	   1.3554000e+02	   1.8535000e+01	   3.1789000e+02	   9.3641000e+01	  -8.1054000e-02	   1.3481000e+02	   3.4676000e+00	   3.5761000e+02	   3.2257000e+00	   1.8213000e+02	   2.9838000e+00	   6.6555000e+00	   2.7420000e+00	  -1.6882000e+02	
-   5.5000000e+01	   2.0500000e+01	   3.0700000e+02	   8.7000000e+01	   1.0000000e-01	   1.2700000e+02	   2.1131000e+01	   3.1003000e+02	   8.6635000e+01	   3.7252000e-02	   1.2554000e+02	   2.1761000e+01	   3.1307000e+02	   8.6271000e+01	  -2.5496000e-02	   1.2408000e+02	   2.2392000e+01	   3.1610000e+02	   8.5906000e+01	  -8.8244000e-02	   1.2262000e+02	   3.8646000e+00	  -7.0276000e+02	   3.4459000e+00	  -9.3373000e+02	   3.0273000e+00	  -1.1647000e+03	   2.6086000e+00	  -1.3957000e+03	
-   5.6000000e+01	   1.3000000e+01	   3.6200000e+02	   1.1100000e+02	   2.0000000e-01	   1.6500000e+02	   1.3693000e+01	   3.6783000e+02	   1.1214000e+02	   2.5013000e-01	   1.6998000e+02	   1.4386000e+01	   3.7366000e+02	   1.1329000e+02	   3.0025000e-01	   1.7495000e+02	   1.5080000e+01	   3.7950000e+02	   1.1443000e+02	   3.5038000e-01	   1.7993000e+02	   8.1236000e+00	   1.2863000e+03	   8.0351000e+00	   1.4553000e+03	   7.9465000e+00	   1.6243000e+03	   7.8579000e+00	   1.7934000e+03	
-   5.7000000e+01	   7.0000000e+00	   3.4700000e+02	   1.0700000e+02	   1.1500000e+00	   1.6100000e+02	   7.2496000e+00	   3.4432000e+02	   1.0703000e+02	   1.1775000e+00	   1.6111000e+02	   7.4993000e+00	   3.4164000e+02	   1.0706000e+02	   1.2049000e+00	   1.6122000e+02	   7.7489000e+00	   3.3897000e+02	   1.0708000e+02	   1.2324000e+00	   1.6133000e+02	   9.7466000e+00	  -6.3451000e+00	   9.5681000e+00	   3.0895000e+02	   9.3897000e+00	   6.2424000e+02	   9.2112000e+00	   9.3954000e+02	
--- a/extra/control-devel/devel/evaporator.dat	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,6305 +0,0 @@
-   1.0112465e+00	  -9.3502246e-01	   1.0197526e+00	  -3.1526751e-01	   1.8242489e-01	  -6.2869153e-02	
-   1.0112465e+00	  -9.3502246e-01	  -9.1338144e-01	  -7.4398480e-01	   8.2754236e-01	  -6.2869153e-02	
-  -9.9155569e-01	  -9.6263769e-01	  -1.0305411e+00	  -1.0155381e-01	   1.0963413e+00	   2.6129992e-01	
-   1.0390632e+00	   9.8423615e-01	   1.0197526e+00	  -5.1257692e-01	   8.8130215e-01	   1.3163229e-01	
-   9.9733820e-01	   9.8423615e-01	   1.0270751e+00	  -2.8116903e-01	   3.4370425e-01	  -6.2869153e-02	
-   1.0390632e+00	   9.1519807e-01	  -9.2802639e-01	  -8.5475810e-01	   1.8242489e-01	   1.9646610e-03	
-   1.0390632e+00	   9.5662092e-01	   9.6849528e-01	  -1.7758368e-01	   2.1145517e-02	  -1.2770297e-01	
-  -1.0193724e+00	   9.1519807e-01	   1.0343976e+00	  -2.9950816e-01	   2.8994446e-01	  -3.2220441e-01	
-   1.0390632e+00	   9.8423615e-01	   1.0417201e+00	  -1.8412668e-01	   3.9746404e-01	  -5.1670585e-01	
-   1.0529716e+00	  -8.3836915e-01	   1.0197526e+00	   2.3279448e-01	  -3.2614272e-02	  -7.1120730e-01	
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-   1.0355714e+00	   9.8473055e-01	  -9.9262668e-01	   6.7886141e-01	  -9.3292591e-01	  -8.9544773e-01	
-  -9.9674189e-01	   9.7125443e-01	  -1.0770147e+00	   4.4758643e-01	   6.0984402e-02	  -6.2142413e-01	
-   9.9352358e-01	   9.7125443e-01	   9.9752474e-01	   2.1678846e-01	  -4.1230622e-01	  -5.7575353e-01	
-   1.0215555e+00	   9.3082604e-01	  -9.7152967e-01	   4.5242582e-01	   8.6557846e-01	  -5.7575353e-01	
-   1.0075395e+00	   9.8473055e-01	  -1.0207560e+00	   1.2224731e-01	   1.5755144e+00	  -3.0172993e-01	
-   9.9352358e-01	  -1.1040694e+00	   9.7642773e-01	  -1.8764202e-03	   5.8160409e-01	  -2.5605933e-01	
-   9.7950763e-01	   9.4430217e-01	   1.0115894e+00	  -1.0466530e-01	   1.1495528e+00	  -4.8441233e-01	
-   9.7950763e-01	  -1.0636410e+00	  -1.0981117e+00	  -2.5060090e-01	   1.8121597e+00	  -4.3874173e-01	
-   9.7950763e-01	   9.9820668e-01	   1.0397188e+00	  -6.2781147e-01	   2.7587410e+00	  -4.3874173e-01	
-   1.0075395e+00	   9.3082604e-01	   1.0608158e+00	  -6.9665541e-01	   1.9541469e+00	  -6.2142413e-01	
-  -9.9674189e-01	  -9.6930812e-01	   1.0326864e+00	  -6.4526097e-01	   2.7114119e+00	  -8.0410653e-01	
-  -9.8272594e-01	   9.8473055e-01	   1.0115894e+00	  -7.2187561e-01	   2.1434631e+00	  -9.8678893e-01	
-  -1.0107578e+00	   9.5777830e-01	  -1.0137237e+00	  -7.5145819e-01	   2.0488050e+00	  -9.8678893e-01	
-   1.0075395e+00	   1.0116828e+00	  -1.0348207e+00	  -6.2249507e-01	   1.5755144e+00	  -7.1276533e-01	
-   1.0075395e+00	   9.7125443e-01	  -9.8559434e-01	  -8.7462788e-01	   4.8694596e-01	  -4.8441233e-01	
-   1.0355714e+00	   9.9820668e-01	  -1.0559177e+00	  -9.8130211e-01	   2.0297159e-01	  -2.1038873e-01	
-   1.0075395e+00	  -1.1040694e+00	  -1.0277884e+00	  -1.0748892e+00	   3.4495878e-01	   1.0930548e-01	
-   1.0355714e+00	   1.0790635e+00	  -9.0823863e-01	  -1.0748892e+00	  -2.2298997e-01	   3.3765848e-01	
-  -9.8272594e-01	   1.1733964e+00	  -1.0277884e+00	  -1.3105266e+00	   2.0297159e-01	   7.0302328e-01	
-  -9.9674189e-01	  -9.0192748e-01	   1.0256541e+00	  -1.3105266e+00	   2.0297159e-01	   7.0302328e-01	
-   9.9352358e-01	  -9.5583199e-01	  -1.0348207e+00	  -1.1650680e+00	  -2.2298997e-01	   6.5735268e-01	
-   9.7950763e-01	   1.1329680e+00	   9.9752474e-01	  -1.1689534e+00	   2.5030065e-01	   6.5735268e-01	
-   9.7950763e-01	  -1.0232126e+00	  -1.1051441e+00	  -8.8144455e-01	  -4.1230622e-01	   5.6601148e-01	
-  -9.9674189e-01	   8.7692152e-01	  -9.5746499e-01	  -1.0438756e+00	   9.1290752e-01	   7.9436448e-01	
-   1.0215555e+00	   9.0387378e-01	  -1.0910794e+00	  -1.1767241e+00	   5.8160409e-01	   1.1140587e+00	
-   1.0215555e+00	  -9.0192748e-01	  -9.5043265e-01	  -1.3056872e+00	   1.3655340e-02	   1.2967411e+00	
-  -9.6870998e-01	  -9.5583199e-01	   9.6939539e-01	  -1.4259256e+00	   1.5564253e-01	   1.2510705e+00	
-   1.0215555e+00	   8.9039765e-01	   9.7642773e-01	  -1.2460450e+00	   8.1824940e-01	   9.7704689e-01	
-   1.0215555e+00	   9.0387378e-01	  -1.1121764e+00	  -7.1124279e-01	   7.2359127e-01	   7.9436448e-01	
-   1.0075395e+00	  -9.2887974e-01	   1.0397188e+00	  -1.3071183e+00	   1.5755144e+00	   7.9436448e-01	
-   1.0215555e+00	   1.0925396e+00	   1.0045571e+00	  -1.0850450e+00	   2.5030065e-01	   4.7467028e-01	
-   1.0075395e+00	  -1.1175455e+00	   9.6939539e-01	  -9.3958646e-01	   1.0548947e+00	   1.5497608e-01	
-  -9.5469403e-01	   1.0386351e+00	   8.5687800e-01	  -8.8819202e-01	   1.0548947e+00	  -2.1038873e-01	
-   9.9352358e-01	  -8.7497522e-01	  -1.0910794e+00	  -9.9534327e-01	   1.8594888e+00	  -3.0172993e-01	
-   1.0215555e+00	  -9.6930812e-01	   9.6939539e-01	  -9.9922863e-01	   2.0014760e+00	  -3.0172993e-01	
-  -9.6870998e-01	   8.9039765e-01	  -1.0066914e+00	  -1.0200865e+00	   1.8121597e+00	  -3.4740053e-01	
-   9.9352358e-01	  -9.8278425e-01	  -1.0559177e+00	  -1.2722193e+00	   2.1434631e+00	  -1.1904753e-01	
-   9.7950763e-01	  -9.8278425e-01	  -1.0348207e+00	  -1.4264026e+00	   1.9541469e+00	   2.0064668e-01	
-   1.0075395e+00	   8.9039765e-01	  -1.0840471e+00	  -1.4564622e+00	   1.1022238e+00	   5.2034088e-01	
-  -9.8272594e-01	  -9.0192748e-01	   9.5533072e-01	  -1.5592511e+00	   8.1824940e-01	   5.2034088e-01	
-   9.9352358e-01	   1.0251589e+00	  -1.0207560e+00	  -1.4351273e+00	   1.1022238e+00	   4.7467028e-01	
-  -9.6870998e-01	   9.9820668e-01	   1.0678481e+00	  -1.4865218e+00	   8.1824940e-01	   4.7467028e-01	
-   9.7950763e-01	  -9.6930812e-01	  -1.0488854e+00	  -1.0627561e+00	   1.5564253e-01	   4.2899968e-01	
-   9.9352358e-01	  -1.0501649e+00	   9.4829838e-01	  -1.0884534e+00	   6.2893315e-01	   4.2899968e-01	
-  -9.9674189e-01	   1.0521112e+00	  -1.0066914e+00	  -1.2474761e+00	   1.0831346e-01	   2.9198788e-01	
-  -9.8272594e-01	  -1.1040694e+00	   1.0045571e+00	  -1.2004440e+00	   1.5564253e-01	   2.9198788e-01	
-  -9.8272594e-01	  -1.1175455e+00	   9.8346007e-01	  -9.8225615e-01	  -8.1002785e-02	  -2.7706324e-02	
-  -9.9674189e-01	   1.1060157e+00	  -1.0629500e+00	  -8.7994429e-01	  -2.2298997e-01	  -7.3376925e-02	
-  -1.0387898e+00	  -8.4802296e-01	   1.0889451e+00	  -9.4054049e-01	   6.0984402e-02	  -2.1038873e-01	
-  -9.8272594e-01	   9.4430217e-01	   1.0537834e+00	  -6.8404531e-01	  -1.5008747e+00	  -4.8441233e-01	
-   1.0215555e+00	  -9.1540361e-01	   9.7642773e-01	  -5.8609582e-01	  -1.6901909e+00	  -8.4977713e-01	
-  -9.8272594e-01	   1.1060157e+00	   1.0115894e+00	  -1.9675216e-01	  -1.6901909e+00	  -1.1238007e+00	
-   9.7950763e-01	  -8.7497522e-01	   9.7642773e-01	   6.8467777e-02	  -1.8795072e+00	  -1.4434949e+00	
-   1.0355714e+00	  -9.1540361e-01	   9.4829838e-01	   3.8508215e-01	  -1.6901909e+00	  -1.6718479e+00	
-  -9.5469403e-01	   8.7692152e-01	   1.0045571e+00	   6.6338920e-01	  -1.2642293e+00	  -1.8545303e+00	
-   1.0215555e+00	  -9.9626038e-01	   9.8346007e-01	   7.0605890e-01	  -1.3588875e+00	  -2.0372127e+00	
-   9.9352358e-01	   1.0925396e+00	   9.5533072e-01	   7.1042127e-01	  -1.5482037e+00	  -2.0828833e+00	
-   1.0075395e+00	  -9.4235587e-01	  -9.7152967e-01	   6.7599930e-01	  -4.1230622e-01	  -2.1742245e+00	
-   1.0075395e+00	  -9.6930812e-01	   9.4126604e-01	   6.0763239e-01	   6.0984402e-02	  -2.1285539e+00	
-  -1.0528057e+00	   8.9039765e-01	   1.0959775e+00	   5.5671497e-01	   2.5030065e-01	  -2.2198951e+00	
-   9.9352358e-01	   9.1734991e-01	  -1.0629500e+00	   7.9719171e-01	   1.0548947e+00	  -2.1285539e+00	
-  -9.6870998e-01	  -9.8278425e-01	  -1.0488854e+00	   4.1221043e-01	   1.4335272e+00	  -1.8545303e+00	
-   1.0215555e+00	  -1.0097365e+00	  -1.0137237e+00	   2.3716927e-01	   1.6701725e+00	  -1.4891655e+00	
-  -9.9674189e-01	  -1.0501649e+00	  -9.5746499e-01	   1.1352256e-01	   1.4808563e+00	  -1.2151419e+00	
-  -9.8272594e-01	   8.9039765e-01	  -9.7856200e-01	   5.3880394e-02	   9.6023659e-01	  -8.9544773e-01	
-   9.7950763e-01	   8.9039765e-01	  -1.0348207e+00	  -2.2878903e-01	   1.2915400e+00	  -5.7575353e-01	
-   1.0075395e+00	   8.9039765e-01	  -1.1051441e+00	   3.2068528e-02	   1.5564253e-01	  -3.9307113e-01	
-  -9.6870998e-01	  -1.0501649e+00	   1.0819128e+00	  -3.6647690e-01	   2.0297159e-01	  -3.9307113e-01	
-  -9.6870998e-01	   1.0251589e+00	   1.0326864e+00	  -1.4828903e-01	  -3.6497716e-01	  -6.2142413e-01	
-  -9.9674189e-01	   9.8473055e-01	   9.5533072e-01	   1.3485741e-01	  -4.1230622e-01	  -7.5843593e-01	
-  -9.6870998e-01	  -9.1540361e-01	  -1.0066914e+00	   2.3328392e-01	  -7.9093872e-01	  -8.9544773e-01	
-   1.0355714e+00	   1.0251589e+00	  -1.0770147e+00	   4.4274704e-01	  -5.5429341e-01	  -6.2142413e-01	
-  -9.6870998e-01	   9.4430217e-01	   1.0045571e+00	   2.8420134e-01	  -1.5955328e+00	  -6.6709473e-01	
-   9.9352358e-01	   8.9039765e-01	   1.0045571e+00	   5.4117355e-01	  -1.6428618e+00	  -8.9544773e-01	
-  -9.9674189e-01	  -9.1540361e-01	  -1.0418530e+00	   5.3681117e-01	  -1.1695712e+00	  -9.4111833e-01	
-   1.0215555e+00	   1.0655873e+00	   8.7797501e-01	   4.3449931e-01	  -1.4535456e+00	  -9.4111833e-01	
-  -9.6870998e-01	  -1.1175455e+00	  -9.7152967e-01	   5.6346243e-01	  -1.4535456e+00	  -9.8678893e-01	
-   9.7950763e-01	   1.0790635e+00	  -9.7856200e-01	   8.2043463e-01	  -6.0162247e-01	  -7.1276533e-01	
-   9.7950763e-01	  -9.0192748e-01	  -9.8559434e-01	   5.2031572e-01	  -3.1764810e-01	  -4.3874173e-01	
-  -9.9674189e-01	   1.1329680e+00	   1.0256541e+00	   4.9898087e-01	  -7.9093872e-01	  -4.3874173e-01	
-   9.7950763e-01	  -8.4802296e-01	   9.4829838e-01	   4.9898087e-01	  -6.9628059e-01	  -6.2142413e-01	
-  -9.9674189e-01	   1.0521112e+00	  -1.0559177e+00	   5.7995789e-01	  -2.2298997e-01	  -5.7575353e-01	
-   9.5147572e-01	   1.0116828e+00	   1.0115894e+00	   6.9099449e-01	   4.3961690e-01	  -5.7575353e-01	
-   1.0075395e+00	   9.7125443e-01	   1.0397188e+00	   6.4784778e-01	  -5.0696435e-01	  -8.0410653e-01	
-  -9.5469403e-01	  -9.8278425e-01	   9.0610436e-01	   8.0155409e-01	   3.9228784e-01	  -9.8678893e-01	
-   1.0355714e+00	   1.1329680e+00	   1.0045571e+00	   8.5731090e-01	   2.0297159e-01	  -1.1694713e+00	
-  -9.8272594e-01	   8.9039765e-01	   9.9752474e-01	   9.0481999e-01	   4.3961690e-01	  -1.4434949e+00	
-  -9.8272594e-01	  -9.8278425e-01	  -9.7856200e-01	   9.0918236e-01	   1.5564253e-01	  -1.3978243e+00	
-   9.7950763e-01	  -1.0771172e+00	  -1.1051441e+00	   7.6760914e-01	   2.9762971e-01	  -1.1694713e+00	
-   9.9352358e-01	   8.9039765e-01	   9.9049240e-01	   5.9597632e-01	   1.3655340e-02	  -1.1238007e+00	
-   1.0355714e+00	   9.0387378e-01	   9.9049240e-01	   5.2713239e-01	   1.3655340e-02	  -1.2608125e+00	
-   1.0215555e+00	  -9.9626038e-01	   9.5533072e-01	   8.1852656e-01	  -4.1230622e-01	  -1.4434949e+00	
-   1.0075395e+00	   1.0655873e+00	   9.6939539e-01	   8.2336595e-01	  -6.0162247e-01	  -1.6261773e+00	
-  -9.9674189e-01	  -8.4802296e-01	  -1.1192087e+00	   9.8191165e-01	   1.0548947e+00	  -1.5348361e+00	
-   9.9352358e-01	  -9.0192748e-01	  -9.7856200e-01	   6.0081571e-01	   1.3388691e+00	  -1.2151419e+00	
-   1.0636034e+00	  -9.8278425e-01	   1.0045571e+00	   2.7111422e-01	   1.2442110e+00	  -1.1694713e+00	
-  -1.0107578e+00	  -9.5583199e-01	  -1.0066914e+00	   2.0227029e-01	   1.2915400e+00	  -1.1238007e+00	
-  -9.8272594e-01	  -9.8278425e-01	   9.9752474e-01	  -3.2476124e-01	   9.6023659e-01	  -1.0781301e+00	
-  -1.0107578e+00	   1.0386351e+00	   9.8346007e-01	  -8.9600900e-02	   5.3427503e-01	  -1.2608125e+00	
-  -1.0247738e+00	   1.0386351e+00	   9.8346007e-01	   1.1597686e-01	   2.0297159e-01	  -1.3978243e+00	
-   1.0075395e+00	  -8.3454684e-01	   9.9752474e-01	   1.6300893e-01	   1.0831346e-01	  -1.6261773e+00	
-  -9.6870998e-01	  -9.8278425e-01	  -1.0277884e+00	   1.4555944e-01	  -3.6497716e-01	  -1.6261773e+00	
-  -9.6870998e-01	  -9.4235587e-01	   1.0186218e+00	   4.0689402e-01	  -8.8559684e-01	  -1.6718479e+00	
-   9.9352358e-01	  -9.6930812e-01	   9.8346007e-01	   5.6155436e-01	  -1.6901909e+00	  -1.8545303e+00	
-  -9.6870998e-01	   8.7692152e-01	  -1.0559177e+00	   7.8894399e-01	  -9.8025497e-01	  -1.8088597e+00	
-  -9.8272594e-01	   9.3082604e-01	  -1.0207560e+00	   7.5888439e-01	  -1.0749131e+00	  -1.5348361e+00	
-  -9.8272594e-01	  -1.0097365e+00	  -1.0488854e+00	   8.1464121e-01	  -1.0275840e+00	  -1.3064831e+00	
-  -9.6870998e-01	  -9.9626038e-01	   1.0397188e+00	   5.8772860e-01	  -1.5482037e+00	  -1.3521537e+00	
-  -9.6870998e-01	  -1.0232126e+00	  -1.0277884e+00	   8.0155409e-01	  -1.8321781e+00	  -1.3064831e+00	
-  -9.9674189e-01	   9.9820668e-01	   1.0608158e+00	   9.3828792e-01	  -1.3588875e+00	  -1.2608125e+00	
-   9.7950763e-01	   1.0251589e+00	   1.0115894e+00	   8.1804954e-01	  -2.4474559e+00	  -1.4434949e+00	
-   9.7950763e-01	   1.0116828e+00	   1.0256541e+00	   9.5089802e-01	  -2.0214943e+00	  -1.6261773e+00	
-  -9.8272594e-01	  -9.8278425e-01	   9.6236306e-01	   1.3833884e+00	  -1.6428618e+00	  -1.8088597e+00	
-  -9.8272594e-01	  -9.6930812e-01	  -1.0910794e+00	   1.4435076e+00	  -1.8321781e+00	  -1.7631891e+00	
-   1.0075395e+00	  -9.5583199e-01	   9.7642773e-01	   1.4134480e+00	  -1.2642293e+00	  -1.8088597e+00	
-   9.9352358e-01	  -9.8278425e-01	  -9.8559434e-01	   1.6961174e+00	  -1.2642293e+00	  -1.7175185e+00	
-   9.9352358e-01	  -9.8278425e-01	   1.0326864e+00	   1.4692048e+00	  -2.7031903e-01	  -1.7631891e+00	
-  -9.6870998e-01	   1.0386351e+00	   1.0256541e+00	   1.5724707e+00	  -3.1764810e-01	  -1.7631891e+00	
-   9.6549168e-01	  -8.6149909e-01	  -1.0488854e+00	   1.5298010e+00	   4.8694596e-01	  -1.7175185e+00	
-  -1.0247738e+00	   1.0116828e+00	  -1.0699824e+00	   1.1569528e+00	   1.3861981e+00	  -1.4434949e+00	
-   9.7950763e-01	   9.9820668e-01	   1.0748805e+00	   8.1416419e-01	   1.1495528e+00	  -1.3521537e+00	
--- a/extra/control-devel/devel/fixtest.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,34 +0,0 @@
-% Extract FFT
-for N = 1:500
-
-  if (rem (N, 2))     % odd
-    n1 = (N+1)/2;
-  else                % even
-    n1 = N/2+1;
-  endif
-
-  n2 = fix (N/2) + 1;
-  
-  if (n1 != n2)
-    warning ("FFT %d: n1=%d, n2=%d", N, n1, n2);
-  endif
-  
-endfor
-
-
-% Frequency Vector
-for N = 1:500
-
-  if (rem (N, 2))     % odd
-    n1 = (N-1)/2;
-  else                % even
-    n1 = N/2;
-  endif
-
-  n2 = fix (N/2);
-  
-  if (n1 != n2)
-    warning ("W %d: n1=%d, n2=%d", N, n1, n2);
-  endif
-  
-endfor
--- a/extra/control-devel/devel/generate_devel_pdf.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,12 +0,0 @@
-homedir = pwd ();
-develdir = fileparts (which ("generate_devel_pdf"));
-pdfdir = [develdir, "/pdfdoc"];
-cd (pdfdir);
-
-collect_texinfo_strings
-
-for i = 1:5
-  system ("pdftex -interaction batchmode control-devel.tex");
-endfor
-
-cd (homedir);
--- a/extra/control-devel/devel/glassfurnace.dat	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,1247 +0,0 @@
-   1.0000000e+00	  -1.4468000e-01	   7.7596000e-02	  -9.8246000e-02	   5.4008000e-02	  -1.3230000e-01	  -1.2960000e-01	  -1.5554000e-01	  -9.9894000e-02	  -2.4695000e-02	
-   2.0000000e+00	   9.4048000e-01	  -1.1231000e+00	  -1.0854000e+00	  -3.7277000e-01	  -2.7135000e-01	  -2.6489000e-01	  -7.4327000e-01	  -1.8784000e-01	  -1.8057000e-01	
-   3.0000000e+00	  -1.0403000e+00	  -1.1024000e+00	   9.1685000e-01	   5.2279000e-02	  -2.1389000e-01	  -2.0188000e-01	   3.2411000e-01	  -1.8111000e-01	  -1.6080000e-01	
-   4.0000000e+00	   9.5769000e-01	  -1.1013000e+00	  -1.0942000e+00	   4.0298000e-02	   1.3149000e-02	   3.1499000e-02	  -4.5266000e-01	  -1.7495000e-02	  -1.8220000e-02	
-   5.0000000e+00	  -1.0389000e+00	  -1.0989000e+00	  -1.0971000e+00	   1.5337000e-01	   5.0079000e-02	   7.3705000e-02	  -5.6444000e-01	   4.2433000e-02	   8.2910000e-02	
-   6.0000000e+00	   9.8630000e-01	  -1.0904000e+00	  -1.0980000e+00	  -1.8162000e-01	  -2.7579000e-01	  -2.5095000e-01	  -7.4893000e-01	   1.1320000e-02	   7.1121000e-02	
-   7.0000000e+00	   9.9855000e-01	   8.9971000e-01	   9.2272000e-01	   5.4645000e-01	   3.9452000e-01	   4.2848000e-01	   4.0050000e-01	   3.4929000e-01	   3.6463000e-01	
-   8.0000000e+00	   9.8714000e-01	   9.1704000e-01	  -1.1001000e+00	   5.2204000e-01	   4.7583000e-01	   5.1384000e-01	  -2.2938000e-01	   6.0865000e-01	   6.9085000e-01	
-   9.0000000e+00	  -1.0378000e+00	   9.1221000e-01	  -1.0996000e+00	   6.4751000e-01	   7.8086000e-01	   8.2387000e-01	  -3.9832000e-01	   6.6478000e-01	   5.7529000e-01	
-   1.0000000e+01	   9.8348000e-01	  -1.0799000e+00	  -1.0970000e+00	   3.1425000e-01	   4.7000000e-01	   5.1384000e-01	  -6.3149000e-01	   4.5618000e-01	   3.0988000e-01	
-   1.1000000e+01	   9.9959000e-01	   9.5824000e-01	   8.8566000e-01	   6.1139000e-01	   4.1007000e-01	   4.5579000e-01	   2.4233000e-01	   4.0624000e-01	   4.6007000e-01	
-   1.2000000e+01	   9.9050000e-01	   9.4676000e-01	  -1.0919000e+00	   3.2182000e-01	   5.7436000e-01	   6.2337000e-01	  -4.4161000e-01	   4.0341000e-01	   4.2471000e-01	
-   1.3000000e+01	   9.9483000e-01	  -1.0765000e+00	  -1.0875000e+00	   1.2381000e-01	   2.7099000e-01	   3.2016000e-01	  -8.4316000e-01	   1.2542000e-01	  -3.1540000e-02	
-   1.4000000e+01	  -1.0453000e+00	   1.0005000e+00	  -1.0808000e+00	  -1.5583000e-02	   3.2625000e-01	   3.7725000e-01	  -9.1418000e-01	  -5.0320000e-03	  -5.2054000e-02	
-   1.5000000e+01	   1.0020000e+00	  -1.0736000e+00	   9.3453000e-01	   4.0750000e-01	   6.6126000e-01	   7.1619000e-01	   2.3441000e-01	   1.9916000e-01	   1.8137000e-01	
-   1.6000000e+01	   1.0013000e+00	  -1.0661000e+00	   9.3564000e-01	   7.3591000e-01	   6.0909000e-01	   6.6497000e-01	   7.2961000e-01	   6.0101000e-01	   5.5930000e-01	
-   1.7000000e+01	   9.8890000e-01	   9.5581000e-01	   9.4567000e-01	   5.8307000e-01	   5.0277000e-01	   5.5851000e-01	   1.0179000e+00	   8.6490000e-01	   7.1747000e-01	
-   1.8000000e+01	   1.0016000e+00	  -1.0556000e+00	  -1.0642000e+00	   8.3819000e-01	   1.0346000e+00	   1.0945000e+00	   1.9565000e-01	   9.9024000e-01	   9.0910000e-01	
-   1.9000000e+01	  -1.0580000e+00	   9.9829000e-01	  -1.0597000e+00	   7.7691000e-01	   1.0981000e+00	   1.1594000e+00	  -3.0466000e-02	   8.7779000e-01	   8.7981000e-01	
-   2.0000000e+01	   9.7905000e-01	   1.0026000e+00	   9.4998000e-01	   1.2074000e+00	   1.2799000e+00	   1.3434000e+00	   1.0329000e+00	   1.1856000e+00	   1.0129000e+00	
-   2.1000000e+01	  -1.0455000e+00	   1.0175000e+00	   9.4384000e-01	   1.2035000e+00	   1.2735000e+00	   1.3369000e+00	   1.5047000e+00	   1.3416000e+00	   1.3459000e+00	
-   2.2000000e+01	   9.5351000e-01	   1.0243000e+00	  -1.0479000e+00	   8.8093000e-01	   1.2253000e+00	   1.2888000e+00	   2.2083000e-01	   1.1228000e+00	   9.4748000e-01	
-   2.3000000e+01	   9.6732000e-01	   1.0171000e+00	   9.3575000e-01	   8.2698000e-01	   1.0029000e+00	   1.0644000e+00	   8.3062000e-01	   8.5253000e-01	   6.2014000e-01	
-   2.4000000e+01	  -1.0577000e+00	  -1.0006000e+00	   9.4727000e-01	   5.9672000e-01	   5.5328000e-01	   6.1128000e-01	   1.2271000e+00	   8.9221000e-01	   6.9312000e-01	
-   2.5000000e+01	  -1.0711000e+00	   1.0492000e+00	   9.6057000e-01	   8.9291000e-01	   9.6931000e-01	   1.0300000e+00	   1.3620000e+00	   8.6904000e-01	   6.5551000e-01	
-   2.6000000e+01	   9.5302000e-01	   1.0306000e+00	   9.4734000e-01	   8.4847000e-01	   8.5219000e-01	   9.1173000e-01	   1.1959000e+00	   8.8259000e-01	   5.9884000e-01	
-   2.7000000e+01	   9.5663000e-01	  -1.0233000e+00	   9.5487000e-01	   7.4517000e-01	   8.1475000e-01	   8.7354000e-01	   1.2092000e+00	   7.5873000e-01	   6.1481000e-01	
-   2.8000000e+01	  -1.0611000e+00	  -1.0122000e+00	   9.5289000e-01	   6.5386000e-01	   6.5706000e-01	   7.1494000e-01	   1.4401000e+00	   7.3431000e-01	   6.4866000e-01	
-   2.9000000e+01	   9.3702000e-01	  -1.0138000e+00	  -1.0591000e+00	   5.1569000e-01	   5.3994000e-01	   5.9760000e-01	   1.7667000e-01	   6.4770000e-01	   4.4561000e-01	
-   3.0000000e+01	   9.4894000e-01	   9.9076000e-01	  -1.0621000e+00	   4.8273000e-01	   6.6347000e-01	   7.2176000e-01	  -2.6872000e-01	   4.9921000e-01	   1.1484000e-01	
-   3.1000000e+01	  -1.1117000e+00	  -1.0442000e+00	  -1.0620000e+00	   5.2058000e-01	   6.8122000e-01	   7.4006000e-01	  -3.4257000e-01	   3.8872000e-01	   1.1294000e-01	
-   3.2000000e+01	  -1.1012000e+00	  -1.0306000e+00	  -1.0589000e+00	   3.9555000e-01	   7.7975000e-01	   8.3906000e-01	  -3.9012000e-01	   3.5408000e-01	   2.0556000e-02	
-   3.3000000e+01	   9.0648000e-01	  -1.0472000e+00	  -1.0526000e+00	   3.6530000e-01	   6.5320000e-01	   7.1089000e-01	  -7.0251000e-01	   3.4576000e-01	  -5.1312000e-02	
-   3.4000000e+01	  -1.0688000e+00	  -1.0309000e+00	   9.6866000e-01	   9.1070000e-01	   1.1001000e+00	   1.1612000e+00	   6.5434000e-01	   5.6232000e-01	   1.6921000e-01	
-   3.5000000e+01	   9.2555000e-01	   9.8573000e-01	   9.5561000e-01	   8.7118000e-01	   1.0018000e+00	   1.0610000e+00	   9.9843000e-01	   1.0528000e+00	   6.2813000e-01	
-   3.6000000e+01	   9.3026000e-01	   9.9215000e-01	   9.7112000e-01	   1.2413000e+00	   1.4489000e+00	   1.5104000e+00	   1.3023000e+00	   1.2700000e+00	   9.5964000e-01	
-   3.7000000e+01	   9.3455000e-01	   9.9263000e-01	   9.3772000e-01	   1.4469000e+00	   1.6294000e+00	   1.6911000e+00	   1.4956000e+00	   1.4990000e+00	   1.1817000e+00	
-   3.8000000e+01	   9.3001000e-01	   9.8951000e-01	   9.4055000e-01	   1.4527000e+00	   1.5161000e+00	   1.5747000e+00	   1.5695000e+00	   1.5037000e+00	   1.2748000e+00	
-   3.9000000e+01	  -1.0759000e+00	   9.9559000e-01	   9.6449000e-01	   1.3753000e+00	   1.4551000e+00	   1.5114000e+00	   1.7910000e+00	   1.4951000e+00	   1.2577000e+00	
-   4.0000000e+01	   9.2616000e-01	   9.9567000e-01	   9.6034000e-01	   1.4840000e+00	   1.6066000e+00	   1.6625000e+00	   1.6334000e+00	   1.4728000e+00	   1.1114000e+00	
-   4.1000000e+01	  -1.0860000e+00	  -1.0209000e+00	   9.7917000e-01	   1.3233000e+00	   1.4115000e+00	   1.4642000e+00	   1.8906000e+00	   1.4500000e+00	   1.0372000e+00	
-   4.2000000e+01	  -1.0961000e+00	  -1.0296000e+00	   9.7554000e-01	   1.2796000e+00	   1.4822000e+00	   1.5343000e+00	   1.8790000e+00	   1.3643000e+00	   1.0904000e+00	
-   4.3000000e+01	   9.1917000e-01	  -1.0534000e+00	   9.4941000e-01	   8.7166000e-01	   1.0604000e+00	   1.1079000e+00	   1.6529000e+00	   1.3037000e+00	   1.0882000e+00	
-   4.4000000e+01	   9.1179000e-01	   9.7892000e-01	  -1.0582000e+00	   7.7936000e-01	   9.8432000e-01	   1.0306000e+00	   4.9049000e-01	   1.0934000e+00	   8.1175000e-01	
-   4.5000000e+01	   9.1206000e-01	   9.8104000e-01	   9.2706000e-01	   1.0279000e+00	   1.0948000e+00	   1.1414000e+00	   1.2305000e+00	   1.0946000e+00	   8.0948000e-01	
-   4.6000000e+01	  -1.1229000e+00	  -1.0174000e+00	  -1.0696000e+00	   6.5657000e-01	   8.1861000e-01	   8.6270000e-01	   4.5342000e-01	   1.0834000e+00	   7.5244000e-01	
-   4.7000000e+01	  -1.1057000e+00	  -1.0233000e+00	   9.1881000e-01	   1.1519000e+00	   1.1953000e+00	   1.2419000e+00	   1.3906000e+00	   1.0354000e+00	   8.2238000e-01	
-   4.8000000e+01	   8.7623000e-01	  -1.0281000e+00	  -1.0786000e+00	   9.4489000e-01	   1.1717000e+00	   1.2180000e+00	   2.9948000e-01	   1.0996000e+00	   7.6576000e-01	
-   4.9000000e+01	  -1.1362000e+00	  -1.0132000e+00	  -1.0801000e+00	   7.9644000e-01	   1.0687000e+00	   1.1141000e+00	   1.9051000e-02	   9.0268000e-01	   5.9961000e-01	
-   5.0000000e+01	  -1.1250000e+00	   1.0064000e+00	   9.2008000e-01	   1.1280000e+00	   1.2458000e+00	   1.2919000e+00	   1.0850000e+00	   9.9187000e-01	   7.6195000e-01	
-   5.1000000e+01	  -1.1409000e+00	  -9.9859000e-01	  -1.0808000e+00	   1.0606000e+00	   1.4498000e+00	   1.4971000e+00	   3.8268000e-01	   1.1927000e+00	   8.5053000e-01	
-   5.2000000e+01	   8.8936000e-01	   1.0053000e+00	  -1.0782000e+00	   7.1272000e-01	   1.2275000e+00	   1.2730000e+00	  -2.7919000e-01	   8.0947000e-01	   5.0265000e-01	
-   5.3000000e+01	  -1.1143000e+00	  -9.9675000e-01	   9.4492000e-01	   8.6945000e-01	   8.7190000e-01	   9.1388000e-01	   8.2157000e-01	   7.9969000e-01	   5.7336000e-01	
-   5.4000000e+01	   8.9135000e-01	   9.9384000e-01	   9.1082000e-01	   9.0853000e-01	   7.2950000e-01	   7.6988000e-01	   1.0106000e+00	   8.5234000e-01	   6.4523000e-01	
-   5.5000000e+01	  -1.1059000e+00	   9.9610000e-01	   9.3905000e-01	   8.5309000e-01	   7.8723000e-01	   8.2762000e-01	   1.3329000e+00	   9.7877000e-01	   8.8132000e-01	
-   5.6000000e+01	   8.9775000e-01	   1.0003000e+00	   8.8586000e-01	   9.1511000e-01	   1.0187000e+00	   1.0597000e+00	   1.2921000e+00	   9.9326000e-01	   8.8019000e-01	
-   5.7000000e+01	   8.8516000e-01	  -9.9847000e-01	  -1.0771000e+00	   3.7970000e-01	   4.9135000e-01	   5.2717000e-01	  -6.9770000e-03	   5.7260000e-01	   4.7945000e-01	
-   5.8000000e+01	  -1.1327000e+00	  -1.0082000e+00	  -1.0765000e+00	   4.4709000e-02	   3.9035000e-01	   4.2476000e-01	  -4.3962000e-01	   1.2770000e-01	   5.7277000e-03	
-   5.9000000e+01	  -1.1153000e+00	  -9.9484000e-01	   9.5977000e-01	   5.4278000e-01	   5.5688000e-01	   5.9204000e-01	   6.7924000e-01	   1.8108000e-01	   2.0799000e-01	
-   6.0000000e+01	  -1.1350000e+00	  -9.9671000e-01	  -1.0731000e+00	   4.0923000e-01	   5.5132000e-01	   5.8613000e-01	  -1.7477000e-01	   3.3559000e-01	   1.3805000e-01	
-   6.1000000e+01	   8.8461000e-01	  -1.0045000e+00	   9.0168000e-01	   3.4599000e-01	   2.2660000e-01	   2.5867000e-01	   6.0000000e-01	   3.7951000e-01	   3.0724000e-01	
-   6.2000000e+01	  -1.1095000e+00	   1.0506000e+00	   9.4971000e-01	   6.5827000e-01	   5.1496000e-01	   5.4983000e-01	   1.1476000e+00	   6.4804000e-01	   6.0418000e-01	
-   6.3000000e+01	   9.1903000e-01	   1.0474000e+00	   9.5407000e-01	   8.6480000e-01	   8.1752000e-01	   8.5459000e-01	   1.2848000e+00	   8.9185000e-01	   1.0277000e+00	
-   6.4000000e+01	  -1.0913000e+00	  -9.7037000e-01	   9.2607000e-01	   1.0237000e+00	   9.1937000e-01	   9.5734000e-01	   1.6643000e+00	   1.0607000e+00	   1.1783000e+00	
-   6.5000000e+01	  -1.1193000e+00	  -9.6766000e-01	  -1.0781000e+00	   5.8454000e-01	   5.9462000e-01	   6.3053000e-01	   4.7776000e-01	   8.8096000e-01	   9.0794000e-01	
-   6.6000000e+01	   8.9639000e-01	   1.0619000e+00	  -1.0791000e+00	  -7.7743000e-03	   2.0329000e-01	   2.3605000e-01	  -2.9192000e-01	   4.2775000e-01	   5.2737000e-01	
-   6.7000000e+01	   9.2704000e-01	   1.0694000e+00	   9.2522000e-01	   2.2123000e-01	   3.9841000e-01	   4.3310000e-01	   6.0622000e-01	   3.9698000e-01	   3.8403000e-01	
-   6.8000000e+01	   9.1236000e-01	   1.0775000e+00	  -1.0793000e+00	  -7.5875000e-02	  -8.4802000e-02	  -5.2913000e-02	  -3.7370000e-01	   2.4294000e-01	   4.0570000e-01	
-   6.9000000e+01	  -1.0848000e+00	  -9.4984000e-01	   9.6336000e-01	   2.0195000e-01	   1.7886000e-01	   2.1309000e-01	   8.0147000e-01	   2.3855000e-01	   2.2739000e-01	
-   7.0000000e+01	  -1.1145000e+00	   1.0900000e+00	  -1.0785000e+00	  -3.6252000e-01	  -3.1462000e-01	  -2.8569000e-01	  -3.0325000e-01	   1.4817000e-01	   1.7722000e-01	
-   7.1000000e+01	  -1.0830000e+00	  -9.6937000e-01	   9.3053000e-01	   1.6410000e-01	  -1.0147000e-01	  -7.1515000e-02	   6.6085000e-01	  -2.8458000e-02	   1.2816000e-01	
-   7.2000000e+01	   9.0839000e-01	  -9.7214000e-01	  -1.0769000e+00	  -2.9219000e-01	  -2.4665000e-01	  -2.1927000e-01	  -5.0529000e-01	  -1.0408000e-01	  -1.1398000e-02	
-   7.3000000e+01	   9.4166000e-01	   1.0578000e+00	   9.2499000e-01	  -7.9779000e-02	  -2.1748000e-01	  -1.9165000e-01	   1.5377000e-01	  -2.6476000e-01	  -2.4065000e-01	
-   7.4000000e+01	  -1.0804000e+00	  -9.5093000e-01	   9.2795000e-01	   4.0265000e-01	   2.5346000e-02	   5.2337000e-02	   9.0815000e-01	   4.8096000e-02	   7.9104000e-02	
-   7.5000000e+01	  -1.0955000e+00	  -9.5897000e-01	  -1.0776000e+00	   1.7096000e-01	   6.9798000e-02	   9.5755000e-02	  -1.3800000e-01	   1.2565000e-01	   7.1516000e-02	
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-   7.8000000e+01	   9.5438000e-01	   1.0670000e+00	   9.3840000e-01	   1.8291000e-01	  -9.8965000e-02	  -7.6516000e-02	   2.1007000e-01	  -5.7978000e-02	  -3.3443000e-02	
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-   8.1000000e+01	   9.0982000e-01	  -9.5724000e-01	  -1.0657000e+00	   2.6764000e-01	   2.9375000e-01	   3.1800000e-01	  -1.3121000e-03	   4.3689000e-01	   6.3611000e-01	
-   8.2000000e+01	   9.4243000e-01	   1.0731000e+00	  -1.0636000e+00	   2.0171000e-01	   8.7552000e-02	   1.0909000e-01	  -5.7857000e-01	   1.3393000e-01	   4.3269000e-01	
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-   8.7000000e+01	   9.2399000e-01	   1.0907000e+00	   9.5891000e-01	   8.7971000e-01	   6.6984000e-01	   6.8793000e-01	   1.6869000e+00	   1.3172000e+00	   1.5725000e+00	
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-   1.4300000e+02	   8.0424000e-01	   1.0584000e+00	  -9.6605000e-01	   4.9641000e-01	   7.1009000e-01	   6.7304000e-01	   2.6553000e-01	   8.6415000e-01	   9.7296000e-01	
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-   1.4500000e+02	  -1.2209000e+00	  -9.7473000e-01	  -9.6459000e-01	   1.4699000e-01	   3.0070000e-01	   2.6181000e-01	  -3.1993000e-01	   4.0819000e-01	   4.8706000e-01	
-   1.4600000e+02	  -1.2193000e+00	  -9.7887000e-01	   1.0449000e+00	   2.9092000e-02	  -5.9561000e-02	  -1.0073000e-01	   8.6796000e-01	   4.0112000e-01	   5.8858000e-01	
-   1.4700000e+02	   7.4850000e-01	   1.0099000e+00	  -9.6313000e-01	   1.3236000e-01	   2.3073000e-01	   1.9259000e-01	  -1.5439000e-01	   3.9320000e-01	   5.0646000e-01	
-   1.4800000e+02	  -1.2455000e+00	  -1.0050000e+00	  -9.6151000e-01	  -1.2815000e-01	   1.3305000e-01	   9.5755000e-02	  -4.9453000e-01	   8.4736000e-02	   1.6731000e-01	
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-   1.5000000e+02	   7.5757000e-01	  -9.9660000e-01	  -9.6003000e-01	  -1.0055000e-01	   2.6115000e-03	  -3.3363000e-02	  -3.9748000e-01	   8.6965000e-02	   1.6276000e-01	
-   1.5100000e+02	  -1.2532000e+00	   1.0367000e+00	  -9.5842000e-01	  -1.7551000e-01	  -9.8152000e-02	  -1.3301000e-01	  -7.3874000e-01	  -1.4907000e-01	  -3.1540000e-02	
-   1.5200000e+02	   7.3266000e-01	   1.0593000e+00	  -9.5513000e-01	  -4.6165000e-01	  -3.1990000e-01	  -3.5364000e-01	  -9.9228000e-01	  -4.7216000e-01	  -3.1720000e-01	
-   1.5300000e+02	  -1.2257000e+00	  -9.8268000e-01	   1.0749000e+00	  -2.0871000e-01	  -3.9373000e-01	  -4.2659000e-01	   2.2479000e-01	  -4.2267000e-01	  -9.2362000e-02	
-   1.5400000e+02	   7.3617000e-01	   1.0657000e+00	  -9.5028000e-01	  -5.7714000e-01	  -4.9534000e-01	  -5.2686000e-01	  -8.0720000e-01	  -4.4748000e-01	  -3.5930000e-01	
-   1.5500000e+02	   7.5229000e-01	  -9.7701000e-01	  -9.4691000e-01	  -7.4582000e-01	  -5.7029000e-01	  -5.9947000e-01	  -1.1777000e+00	  -6.9536000e-01	  -6.9898000e-01	
-   1.5600000e+02	  -1.2511000e+00	  -9.8414000e-01	  -9.4181000e-01	  -9.3723000e-01	  -7.9038000e-01	  -8.1919000e-01	  -1.3969000e+00	  -9.5470000e-01	  -9.8439000e-01	
-   1.5700000e+02	  -1.2588000e+00	  -1.0076000e+00	  -9.3493000e-01	  -9.3968000e-01	  -8.6309000e-01	  -8.8999000e-01	  -1.4178000e+00	  -8.8984000e-01	  -1.0128000e+00	
-   1.5800000e+02	  -1.2573000e+00	  -9.8454000e-01	  -9.2621000e-01	  -8.8231000e-01	  -8.4144000e-01	  -8.6545000e-01	  -1.4444000e+00	  -9.9691000e-01	  -1.0022000e+00	
-   1.5900000e+02	   7.7178000e-01	   1.0422000e+00	   1.0887000e+00	  -6.2473000e-01	  -7.1157000e-01	  -7.3262000e-01	  -3.9154000e-01	  -9.0366000e-01	  -9.3654000e-01	
-   1.6000000e+02	   7.7975000e-01	   1.0260000e+00	   1.0945000e+00	  -4.3700000e-01	  -6.4689000e-01	  -6.6588000e-01	   7.1970000e-02	  -4.7409000e-01	  -3.7707000e-01	
-   1.6100000e+02	  -1.2132000e+00	   1.0444000e+00	   1.0709000e+00	  -2.8441000e-01	  -3.4213000e-01	  -3.5737000e-01	   5.1822000e-01	  -2.5584000e-01	  -9.0854000e-02	
-   1.6200000e+02	   7.4048000e-01	   1.0381000e+00	  -9.0705000e-01	  -6.2378000e-01	  -3.7042000e-01	  -3.8376000e-01	  -6.5553000e-01	  -5.5929000e-01	  -5.3336000e-01	
-   1.6300000e+02	   7.8729000e-01	  -9.6624000e-01	   1.0877000e+00	  -6.1132000e-01	  -7.3126000e-01	  -7.4598000e-01	  -3.7823000e-02	  -7.6300000e-01	  -8.1232000e-01	
-   1.6400000e+02	   8.1498000e-01	  -9.7669000e-01	   1.1037000e+00	  -3.7570000e-01	  -6.5133000e-01	  -6.6373000e-01	   2.8874000e-01	  -7.0514000e-01	  -5.6179000e-01	
-   1.6500000e+02	   8.2105000e-01	   1.0655000e+00	   1.0959000e+00	  -2.9171000e-01	  -5.9692000e-01	  -6.0724000e-01	   5.0351000e-01	  -4.6058000e-01	  -5.6518000e-01	
-   1.6600000e+02	   8.2312000e-01	  -9.7955000e-01	   1.1040000e+00	   1.7876000e-01	   4.3981000e-02	   4.0516000e-02	   7.9498000e-01	  -1.0362000e-01	  -7.5886000e-02	
-   1.6700000e+02	   8.1703000e-01	   1.0683000e+00	  -9.2538000e-01	  -3.2396000e-01	  -3.6598000e-01	  -3.7228000e-01	  -1.9005000e-01	  -1.9974000e-02	   6.6944000e-02	
-   1.6800000e+02	  -1.1981000e+00	  -9.6055000e-01	  -9.3167000e-01	   2.8854000e-02	   6.3395000e-02	   6.0369000e-02	  -3.1851000e-01	  -1.1097000e-01	  -2.1043000e-01	
-   1.6900000e+02	   8.0910000e-01	   1.0663000e+00	   1.0607000e+00	   1.3480000e-01	   1.1920000e-01	   1.1591000e-01	   5.9859000e-01	   3.3677000e-02	   2.2273000e-02	
-   1.7000000e+02	   8.1642000e-01	   1.0410000e+00	  -9.4531000e-01	  -2.1678000e-01	   4.1168000e-02	   3.6765000e-02	  -3.3325000e-01	   6.5995000e-02	   3.5199000e-02	
-   1.7100000e+02	  -1.1752000e+00	  -9.8692000e-01	   1.0627000e+00	   3.2158000e-01	   2.1661000e-01	   2.1339000e-01	   8.6456000e-01	   1.1016000e-01	   1.9297000e-01	
-   1.7200000e+02	   8.1438000e-01	   1.0595000e+00	  -9.6171000e-01	  -2.5338000e-01	  -7.5688000e-02	  -7.9888000e-02	  -2.9786000e-01	   6.6587000e-02	  -1.4322000e-02	
-   1.7300000e+02	   8.2263000e-01	   1.0410000e+00	  -9.6892000e-01	  -4.2943000e-01	  -3.6737000e-01	  -3.7351000e-01	  -7.7696000e-01	  -3.0026000e-01	  -3.6818000e-01	
-   1.7400000e+02	   8.2870000e-01	  -9.9659000e-01	  -9.7443000e-01	  -4.0550000e-01	  -2.8521000e-01	  -2.9067000e-01	  -1.0582000e+00	  -4.9303000e-01	  -6.1242000e-01	
-   1.7500000e+02	   8.0740000e-01	  -1.0076000e+00	  -9.7826000e-01	  -5.2122000e-01	  -4.2843000e-01	  -4.3498000e-01	  -1.1887000e+00	  -6.4760000e-01	  -6.3707000e-01	
-   1.7600000e+02	  -1.2078000e+00	   1.0270000e+00	  -9.8041000e-01	  -3.9036000e-01	  -2.2416000e-01	  -2.2920000e-01	  -1.2390000e+00	  -5.8972000e-01	  -7.7027000e-01	
-   1.7700000e+02	   7.8679000e-01	  -1.0176000e+00	  -9.8090000e-01	  -6.0986000e-01	  -2.8494000e-01	  -2.9097000e-01	  -1.2322000e+00	  -5.0588000e-01	  -7.0177000e-01	
-   1.7800000e+02	   7.9243000e-01	   1.0099000e+00	  -9.7970000e-01	  -6.0569000e-01	  -4.3815000e-01	  -4.4584000e-01	  -1.4193000e+00	  -6.4414000e-01	  -7.4175000e-01	
-   1.7900000e+02	  -1.1799000e+00	  -1.0126000e+00	  -9.7677000e-01	  -4.9485000e-01	  -1.6503000e-01	  -1.7085000e-01	  -1.2817000e+00	  -5.2021000e-01	  -7.6240000e-01	
-   1.8000000e+02	   8.1469000e-01	   1.0055000e+00	  -9.7207000e-01	  -5.3538000e-01	  -1.9529000e-01	  -2.0313000e-01	  -1.4873000e+00	  -5.5610000e-01	  -7.0847000e-01	
-   1.8100000e+02	   8.0605000e-01	  -1.0509000e+00	  -9.6554000e-01	  -4.1086000e-01	  -6.4270000e-02	  -7.3372000e-02	  -1.5487000e+00	  -6.5226000e-01	  -7.9876000e-01	
-   1.8200000e+02	  -1.1898000e+00	   9.7172000e-01	   1.0472000e+00	  -2.3753000e-01	  -1.2007000e-01	  -1.3020000e-01	  -1.8468000e-01	  -4.7327000e-01	  -7.4182000e-01	
-   1.8300000e+02	   7.9622000e-01	  -1.0499000e+00	   1.0433000e+00	   3.6968000e-01	   4.9193000e-01	   4.8466000e-01	   4.0192000e-01	   3.0516000e-02	  -8.2523000e-02	
-   1.8400000e+02	  -1.1891000e+00	  -1.0554000e+00	  -9.5271000e-01	   1.1040000e-01	   3.4624000e-01	   3.3475000e-01	  -5.4575000e-01	   6.2857000e-02	  -2.0600000e-01	
-   1.8500000e+02	   8.4270000e-01	  -1.0538000e+00	   1.0694000e+00	   4.4804000e-01	   5.0802000e-01	   4.9459000e-01	   3.7729000e-01	   1.3302000e-01	  -1.2914000e-01	
-   1.8600000e+02	   8.5198000e-01	  -1.0287000e+00	   1.0486000e+00	   6.1139000e-01	   7.7616000e-01	   7.6241000e-01	   8.6005000e-01	   4.5222000e-01	   1.3013000e-01	
-   1.8700000e+02	   8.2794000e-01	  -1.0593000e+00	  -9.5105000e-01	   6.9293000e-01	   1.0709000e+00	   1.0573000e+00	   5.1883000e-02	   7.3351000e-01	   4.2508000e-01	
-   1.8800000e+02	   8.2344000e-01	   9.8972000e-01	   1.0506000e+00	   1.1258000e+00	   1.3924000e+00	   1.3779000e+00	   1.0584000e+00	   1.1137000e+00	   7.5604000e-01	
-   1.8900000e+02	  -1.1734000e+00	   9.9136000e-01	  -9.5336000e-01	   1.0777000e+00	   1.6044000e+00	   1.5905000e+00	   4.6021000e-01	   1.3186000e+00	   7.7581000e-01	
-   1.9000000e+02	   8.2684000e-01	   1.0139000e+00	   1.0307000e+00	   1.2967000e+00	   1.6288000e+00	   1.6138000e+00	   1.3069000e+00	   1.4969000e+00	   1.2486000e+00	
-   1.9100000e+02	  -1.1646000e+00	   9.9923000e-01	   1.0363000e+00	   1.2918000e+00	   1.6382000e+00	   1.6221000e+00	   1.6954000e+00	   1.7220000e+00	   1.2813000e+00	
-   1.9200000e+02	   8.1744000e-01	   9.8457000e-01	  -9.6328000e-01	   9.1073000e-01	   1.5264000e+00	   1.5083000e+00	   4.8511000e-01	   1.3859000e+00	   8.1915000e-01	
-   1.9300000e+02	   8.2386000e-01	  -1.0220000e+00	  -9.6584000e-01	   3.6530000e-01	   1.0806000e+00	   1.0591000e+00	  -1.6743000e-01	   8.4966000e-01	   3.0095000e-01	
-   1.9400000e+02	   8.8581000e-01	  -1.0065000e+00	  -9.0783000e-01	   1.4845000e-01	   7.1537000e-01	   6.9011000e-01	  -5.3542000e-01	   4.1219000e-01	  -1.0798000e-01	
-   1.9500000e+02	   8.4126000e-01	   1.0235000e+00	  -9.0208000e-01	   9.7193000e-02	   6.0461000e-01	   5.7743000e-01	  -7.6017000e-01	   2.3668000e-01	  -2.2468000e-01	
-   1.9600000e+02	  -1.1270000e+00	   1.0190000e+00	   1.0898000e+00	   6.6804000e-01	   9.3380000e-01	   9.0862000e-01	   6.2095000e-01	   5.9641000e-01	   4.1952000e-02	
-   1.9700000e+02	   8.8639000e-01	  -1.0148000e+00	   1.0839000e+00	   9.3389000e-01	   1.2902000e+00	   1.2671000e+00	   9.9532000e-01	   8.9492000e-01	   4.1851000e-01	
-   1.9800000e+02	   8.8195000e-01	  -1.0194000e+00	   1.0924000e+00	   1.1641000e+00	   1.3005000e+00	   1.2773000e+00	   1.3527000e+00	   1.1682000e+00	   5.9408000e-01	
-   1.9900000e+02	   8.6396000e-01	   1.0220000e+00	  -8.9508000e-01	   8.7872000e-01	   1.2297000e+00	   1.2066000e+00	   1.5943000e-01	   9.8107000e-01	   5.1405000e-01	
-   2.0000000e+02	   8.7934000e-01	   1.0196000e+00	   1.0723000e+00	   1.4708000e+00	   1.7051000e+00	   1.6861000e+00	   1.0717000e+00	   1.2280000e+00	   6.5170000e-01	
-   2.0100000e+02	   8.6675000e-01	   1.0149000e+00	  -9.1923000e-01	   1.2183000e+00	   1.6732000e+00	   1.6547000e+00	   3.1675000e-01	   1.2754000e+00	   5.8819000e-01	
-   2.0200000e+02	  -1.1412000e+00	  -1.0142000e+00	  -8.9439000e-01	   8.9485000e-01	   1.5206000e+00	   1.5024000e+00	   5.5856000e-02	   1.0856000e+00	   8.6274000e-02	
-   2.0300000e+02	  -1.1512000e+00	  -1.0364000e+00	  -8.8422000e-01	   8.0547000e-01	   1.2599000e+00	   1.2420000e+00	  -2.5853000e-01	   9.2010000e-01	   1.1152000e-01	
-   2.0400000e+02	   8.1490000e-01	   9.7703000e-01	  -9.0378000e-01	   6.6998000e-01	   1.2386000e+00	   1.2227000e+00	  -5.0038000e-01	   7.2937000e-01	   6.3742000e-02	
-   2.0500000e+02	  -1.1375000e+00	  -1.0429000e+00	   1.1103000e+00	   6.6363000e-01	   1.0309000e+00	   1.0160000e+00	   8.9429000e-01	   8.4955000e-01	   1.0700000e-01	
-   2.0600000e+02	  -1.1450000e+00	   9.6662000e-01	   1.1248000e+00	   1.4190000e+00	   1.3965000e+00	   1.3859000e+00	   1.2511000e+00	   1.1559000e+00	   4.5979000e-01	
-   2.0700000e+02	  -1.1490000e+00	   9.5811000e-01	   1.0840000e+00	   1.2591000e+00	   1.3490000e+00	   1.3385000e+00	   1.5038000e+00	   1.2376000e+00	   5.5760000e-01	
-   2.0800000e+02	  -1.1680000e+00	   9.6844000e-01	  -9.1091000e-01	   6.8831000e-01	   1.2880000e+00	   1.2773000e+00	   2.2903000e-01	   9.8278000e-01	   2.8981000e-01	
-   2.0900000e+02	   8.5517000e-01	  -1.0351000e+00	  -8.8735000e-01	   4.5808000e-01	   9.2076000e-01	   9.0737000e-01	  -5.1884000e-01	   2.8017000e-01	  -1.7913000e-01	
-   2.1000000e+02	  -1.1251000e+00	  -1.0444000e+00	   1.1190000e+00	   4.8639000e-01	   5.6690000e-01	   5.5138000e-01	   4.1748000e-01	   1.0038000e-01	  -4.6511000e-01	
-   2.1100000e+02	   8.6649000e-01	   9.7496000e-01	   1.0901000e+00	   7.5006000e-01	   7.3313000e-01	   7.1992000e-01	   5.9943000e-01	   1.7032000e-01	  -3.8519000e-01	
-   2.1200000e+02	   8.8571000e-01	   9.7626000e-01	   1.0779000e+00	   8.7410000e-01	   9.9347000e-01	   9.8401000e-01	   7.7261000e-01	   4.2805000e-01	  -2.8555000e-01	
-   2.1300000e+02	  -1.1101000e+00	  -1.0527000e+00	   1.0806000e+00	   8.6898000e-01	   8.6801000e-01	   8.5832000e-01	   1.2438000e+00	   6.1163000e-01	   8.7551000e-02	
-   2.1400000e+02	   8.8928000e-01	  -1.0559000e+00	  -9.0105000e-01	   6.9952000e-01	   7.9642000e-01	   7.8693000e-01	  -4.6873000e-02	   5.2232000e-01	  -1.5857000e-01	
-   2.1500000e+02	   9.0123000e-01	  -1.0178000e+00	  -9.3595000e-01	   4.6002000e-01	   6.5872000e-01	   6.4883000e-01	  -4.4098000e-01	   2.0964000e-01	  -2.7638000e-01	
-   2.1600000e+02	  -1.1179000e+00	  -1.0211000e+00	  -9.0761000e-01	   7.0148000e-01	   6.8180000e-01	   6.7272000e-01	  -4.9567000e-01	   1.8319000e-01	  -7.2098000e-01	
-   2.1700000e+02	  -1.1284000e+00	   9.8574000e-01	  -9.3516000e-01	   8.9658000e-01	   1.2111000e+00	   1.2069000e+00	  -5.4751000e-01	   1.5765000e-01	  -2.1751000e-01	
-   2.1800000e+02	  -1.0844000e+00	   9.9673000e-01	   1.0807000e+00	   1.2908000e+00	   1.1545000e+00	   1.1507000e+00	   6.5971000e-01	   5.7929000e-01	  -2.3163000e-02	
-   2.1900000e+02	  -1.0789000e+00	   1.0046000e+00	   1.0841000e+00	   1.2271000e+00	   1.2038000e+00	   1.2007000e+00	   1.0723000e+00	   8.2626000e-01	   2.6192000e-01	
-   2.2000000e+02	  -1.0869000e+00	   1.0011000e+00	   1.0986000e+00	   1.1278000e+00	   9.7324000e-01	   9.6789000e-01	   1.0977000e+00	   7.2491000e-01	   3.4541000e-01	
-   2.2100000e+02	   9.2624000e-01	   1.0014000e+00	  -9.0878000e-01	   3.0131000e-01	   5.9543000e-01	   5.8705000e-01	  -4.1104000e-01	   2.3814000e-01	  -1.9106000e-01	
-   2.2200000e+02	   9.5619000e-01	  -1.0177000e+00	   1.0675000e+00	   1.6729000e-01	   2.8542000e-01	   2.7360000e-01	   1.7214000e-01	  -1.3631000e-01	  -5.9982000e-01	
-   2.2300000e+02	   9.7203000e-01	   9.6822000e-01	   1.0694000e+00	  -7.1255000e-02	  -2.3693000e-01	  -2.5341000e-01	   3.5466000e-01	  -1.8614000e-01	  -6.4303000e-01	
-   2.2400000e+02	   9.5699000e-01	   9.7603000e-01	  -9.1659000e-01	  -2.8465000e-01	  -4.1067000e-01	  -4.2907000e-01	  -6.6485000e-01	  -4.7041000e-01	  -7.7565000e-01	
-   2.2500000e+02	   9.6981000e-01	   9.7957000e-01	   1.0736000e+00	  -1.2153000e-01	  -4.3595000e-01	  -4.5514000e-01	   1.2518000e-01	  -3.1834000e-01	  -6.8817000e-01	
-   2.2600000e+02	   9.6178000e-01	   9.8581000e-01	  -9.1153000e-01	  -2.1529000e-01	  -3.9207000e-01	  -4.1170000e-01	  -7.5839000e-01	  -3.1341000e-01	  -7.2629000e-01	
-   2.2700000e+02	  -1.0319000e+00	  -1.0031000e+00	  -8.9683000e-01	  -3.4300000e-01	  -3.2048000e-01	  -3.3970000e-01	  -1.0581000e+00	  -5.7991000e-01	  -9.6311000e-01	
-   2.2800000e+02	   9.7797000e-01	  -1.0036000e+00	   1.0895000e+00	  -1.0493000e-01	  -3.6625000e-01	  -3.8656000e-01	  -1.1278000e-01	  -5.0896000e-01	  -7.4198000e-01	
-   2.2900000e+02	  -1.0308000e+00	   9.8965000e-01	   1.0787000e+00	   1.6923000e-01	   1.4934000e-03	  -1.5367000e-02	   5.8161000e-01	  -1.0064000e-01	  -4.6451000e-01	
-   2.3000000e+02	   9.8076000e-01	  -1.0341000e+00	   1.0715000e+00	   4.5587000e-01	   2.1078000e-01	   1.9508000e-01	   8.5948000e-01	   2.5895000e-01	  -4.4595000e-03	
-   2.3100000e+02	  -1.0146000e+00	   9.9948000e-01	   1.0924000e+00	   9.2900000e-01	   8.7218000e-01	   8.6206000e-01	   1.2455000e+00	   6.8045000e-01	   3.6467000e-01	
-   2.3200000e+02	   9.7661000e-01	   9.9169000e-01	   1.0432000e+00	   1.2381000e+00	   1.0676000e+00	   1.0588000e+00	   1.2841000e+00	   8.9005000e-01	   6.4161000e-01	
-   2.3300000e+02	  -1.0367000e+00	   9.7701000e-01	   1.0713000e+00	   1.0071000e+00	   9.5630000e-01	   9.4618000e-01	   1.5557000e+00	   9.6190000e-01	   7.1640000e-01	
-   2.3400000e+02	  -1.0349000e+00	   9.8448000e-01	   1.0706000e+00	   1.1502000e+00	   8.8356000e-01	   8.7386000e-01	   1.7146000e+00	   9.2082000e-01	   8.6241000e-01	
-   2.3500000e+02	   9.4665000e-01	  -1.0501000e+00	  -9.4644000e-01	   4.2485000e-01	   4.9111000e-01	   4.7813000e-01	   2.4346000e-01	   6.2971000e-01	   4.9595000e-01	
-   2.3600000e+02	  -1.0378000e+00	  -1.0395000e+00	  -9.4878000e-01	   4.0090000e-02	   1.2502000e-01	   1.0941000e-01	  -3.7908000e-01	   1.2665000e-01	   1.9280000e-02	
-   2.3700000e+02	   9.6513000e-01	  -1.0484000e+00	  -9.7125000e-01	  -5.0512000e-02	   7.9759000e-02	   6.3476000e-02	  -6.9283000e-01	  -1.2757000e-01	  -3.2969000e-01	
-   2.3800000e+02	   9.9200000e-01	  -1.0350000e+00	   1.0153000e+00	   7.2735000e-01	   5.2774000e-01	   5.1505000e-01	   4.0998000e-01	   6.6587000e-02	  -9.4915000e-02	
-   2.3900000e+02	  -1.0159000e+00	   9.6362000e-01	   1.0289000e+00	   6.2727000e-01	   3.8981000e-01	   3.7602000e-01	   1.1903000e+00	   6.0913000e-01	   4.1371000e-01	
-   2.4000000e+02	  -1.0258000e+00	  -1.0365000e+00	  -9.7043000e-01	   9.1243000e-01	   7.3119000e-01	   7.1988000e-01	   3.6515000e-01	   9.5239000e-01	   6.1209000e-01	
-   2.4100000e+02	  -1.0519000e+00	   9.7013000e-01	  -9.7808000e-01	   4.1215000e-01	   6.0519000e-01	   5.9296000e-01	  -1.3884000e-01	   6.8570000e-01	   6.4511000e-01	
-   2.4200000e+02	  -1.0147000e+00	  -1.0511000e+00	   1.0212000e+00	   8.8334000e-01	   7.3174000e-01	   7.2051000e-01	   1.0315000e+00	   7.6553000e-01	   7.3146000e-01	
-   2.4300000e+02	   9.7439000e-01	   9.6014000e-01	  -1.0066000e+00	   4.6344000e-01	   5.9130000e-01	   5.7868000e-01	  -1.3411000e-01	   6.8291000e-01	   6.3430000e-01	
-   2.4400000e+02	  -1.0161000e+00	  -1.0449000e+00	  -9.9745000e-01	   8.9891000e-02	   1.5664000e-01	   1.4169000e-01	  -5.3746000e-01	   2.3975000e-01	   1.7169000e-01	
-   2.4500000e+02	   9.9823000e-01	   9.7790000e-01	  -1.0164000e+00	  -7.2239000e-02	   1.4888000e-01	   1.3360000e-01	  -9.4729000e-01	   5.6807000e-02	  -1.4539000e-01	
-   2.4600000e+02	   1.0053000e+00	   9.7285000e-01	   9.9603000e-01	   3.2841000e-01	   2.0746000e-01	   1.9320000e-01	   1.1442000e-01	  -1.3902000e-02	  -1.3399000e-01	
-   2.4700000e+02	  -1.0182000e+00	   9.5236000e-01	  -1.0074000e+00	   5.0580000e-02	   2.7311000e-02	   1.1324000e-02	  -7.1808000e-01	  -3.4394000e-02	  -8.5610000e-02	
-   2.4800000e+02	  -1.0010000e+00	   9.5597000e-01	   9.8725000e-01	   2.1757000e-01	   7.3390000e-02	   5.8512000e-02	   1.7936000e-01	  -5.4703000e-02	  -2.3737000e-01	
-   2.4900000e+02	   9.7727000e-01	  -1.1015000e+00	  -1.0151000e+00	  -2.0114000e-01	  -1.3369000e-01	  -1.4975000e-01	  -8.2544000e-01	  -2.9803000e-01	  -2.9789000e-01	
-   2.5000000e+02	  -1.0065000e+00	  -1.1058000e+00	  -1.0109000e+00	  -6.6501000e-01	  -5.2641000e-01	  -5.4485000e-01	  -1.2789000e+00	  -6.3939000e-01	  -7.3985000e-01	
-   2.5100000e+02	   9.9608000e-01	  -1.1103000e+00	  -1.0065000e+00	  -7.0554000e-01	  -6.3744000e-01	  -6.5658000e-01	  -1.5407000e+00	  -9.2946000e-01	  -8.1554000e-01	
-   2.5200000e+02	  -1.0062000e+00	  -1.0962000e+00	  -9.9815000e-01	  -4.7458000e-01	  -4.1399000e-01	  -4.3095000e-01	  -1.4768000e+00	  -8.3218000e-01	  -7.7946000e-01	
-   2.5300000e+02	   1.0089000e+00	  -1.1032000e+00	   1.0037000e+00	  -1.9725000e-02	  -1.8919000e-01	  -2.0374000e-01	  -2.3865000e-01	  -4.4757000e-01	  -5.2264000e-01	
-   2.5400000e+02	  -1.0162000e+00	   9.2587000e-01	  -1.0009000e+00	   1.3952000e-02	  -4.3738000e-02	  -5.7251000e-02	  -8.3912000e-01	  -2.6039000e-01	  -1.5483000e-01	
-   2.5500000e+02	  -9.8798000e-01	  -1.0814000e+00	   9.9637000e-01	   4.1045000e-01	   2.6099000e-01	   2.5064000e-01	   4.4805000e-01	   6.3971000e-02	   1.7710000e-01	
-   2.5600000e+02	  -1.0073000e+00	   9.6432000e-01	  -1.0033000e+00	   1.3922000e-01	   8.6434000e-02	   7.4955000e-02	  -4.2751000e-01	   1.7703000e-01	   3.2668000e-01	
-   2.5700000e+02	  -1.0044000e+00	  -1.0683000e+00	  -9.8115000e-01	  -1.4450000e-01	  -6.2644000e-02	  -7.4319000e-02	  -8.6275000e-01	  -4.5128000e-02	   7.5089000e-02	
-   2.5800000e+02	   1.0107000e+00	  -1.0771000e+00	  -9.8897000e-01	  -4.0428000e-01	  -2.2473000e-01	  -2.3666000e-01	  -1.2491000e+00	  -4.0413000e-01	  -2.6759000e-01	
-   2.5900000e+02	  -9.8833000e-01	   9.5008000e-01	  -9.8886000e-01	  -7.3314000e-01	  -6.6604000e-01	  -6.8017000e-01	  -1.3894000e+00	  -5.3818000e-01	  -6.0862000e-01	
-   2.6000000e+02	  -9.9266000e-01	  -1.0510000e+00	  -9.5240000e-01	  -5.7956000e-01	  -5.0700000e-01	  -5.1816000e-01	  -1.4477000e+00	  -6.5797000e-01	  -6.9295000e-01	
-   2.6100000e+02	   1.0295000e+00	   9.6490000e-01	   1.0590000e+00	  -2.8439000e-01	  -5.0615000e-01	  -5.1661000e-01	  -4.5753000e-01	  -6.5169000e-01	  -5.7453000e-01	
-   2.6200000e+02	  -9.4380000e-01	  -1.0580000e+00	   1.0652000e+00	  -4.6846000e-02	  -3.5822000e-01	  -3.6576000e-01	   3.5361000e-01	  -2.5892000e-01	  -2.7160000e-01	
-   2.6300000e+02	  -9.3583000e-01	  -1.0663000e+00	   1.0594000e+00	  -6.5876000e-02	  -2.4913000e-01	  -2.5466000e-01	   7.9454000e-01	  -1.3447000e-02	   1.6056000e-01	
-   2.6400000e+02	  -9.4160000e-01	  -1.0375000e+00	   1.0682000e+00	   3.2474000e-01	  -6.0137000e-02	  -6.2536000e-02	   1.0062000e+00	   1.4539000e-01	   3.2063000e-01	
-   2.6500000e+02	   1.0676000e+00	  -1.0474000e+00	   1.0520000e+00	   3.4013000e-01	   1.0226000e-01	   1.0257000e-01	   1.0823000e+00	   3.4192000e-01	   5.9069000e-01	
-   2.6600000e+02	   1.0840000e+00	  -1.0351000e+00	  -9.4860000e-01	   9.6731000e-02	   1.1488000e-02	   1.2575000e-02	  -1.4473000e-02	   2.7737000e-01	   6.2379000e-01	
-   2.6700000e+02	  -9.0973000e-01	   9.9007000e-01	   1.0702000e+00	   3.6846000e-01	  -1.0591000e-01	  -1.0412000e-01	   1.1132000e+00	   4.4920000e-01	   8.5723000e-01	
-   2.6800000e+02	   1.0975000e+00	   9.7928000e-01	   1.0519000e+00	   7.9132000e-01	   3.7622000e-01	   3.8284000e-01	   1.4380000e+00	   8.6986000e-01	   1.2725000e+00	
-   2.6900000e+02	   1.1087000e+00	  -1.0365000e+00	   1.0445000e+00	   6.6216000e-01	   4.9748000e-01	   5.0637000e-01	   1.5717000e+00	   1.0776000e+00	   1.4496000e+00	
-   2.7000000e+02	   1.0898000e+00	  -1.0211000e+00	  -9.5861000e-01	   5.0810000e-01	   3.2513000e-01	   3.3350000e-01	   6.3396000e-01	   1.0723000e+00	   1.4062000e+00	
-   2.7100000e+02	   1.1011000e+00	   1.0320000e+00	  -9.5075000e-01	   2.8349000e-01	   4.0563000e-01	   4.1450000e-01	   1.5985000e-01	   8.2956000e-01	   1.2700000e+00	
-   2.7200000e+02	   1.1058000e+00	   1.0610000e+00	   1.0474000e+00	   5.6206000e-01	   4.8501000e-01	   4.9457000e-01	   1.2821000e+00	   1.0205000e+00	   1.5152000e+00	
-   2.7300000e+02	  -8.9047000e-01	   1.0666000e+00	   1.0423000e+00	   9.6833000e-01	   7.7588000e-01	   7.8787000e-01	   1.9941000e+00	   1.4084000e+00	   2.0868000e+00	
-   2.7400000e+02	   1.0890000e+00	   1.0746000e+00	  -9.5655000e-01	   5.8746000e-01	   6.6597000e-01	   6.7677000e-01	   7.6921000e-01	   1.3594000e+00	   1.8182000e+00	
-   2.7500000e+02	   1.0877000e+00	   1.0557000e+00	   1.0072000e+00	   6.1601000e-01	   4.3504000e-01	   4.4274000e-01	   1.4374000e+00	   1.2087000e+00	   1.6194000e+00	
-   2.7600000e+02	  -9.0633000e-01	   1.0601000e+00	   1.0509000e+00	   6.4338000e-01	   6.0241000e-01	   6.1003000e-01	   1.8519000e+00	   1.1802000e+00	   1.6376000e+00	
-   2.7700000e+02	  -9.4067000e-01	  -9.9729000e-01	  -9.7306000e-01	   1.9863000e-03	   4.8961000e-02	   5.1674000e-02	   7.2264000e-01	   1.0255000e+00	   1.4714000e+00	
-   2.7800000e+02	   1.0643000e+00	   1.0397000e+00	  -9.9193000e-01	  -8.8839000e-02	   4.1168000e-02	   4.2695000e-02	  -5.3506000e-02	   4.5959000e-01	   8.4858000e-01	
-   2.7900000e+02	   1.0707000e+00	  -1.0102000e+00	  -9.9701000e-01	  -3.5544000e-01	  -2.7383000e-01	  -2.7544000e-01	  -4.4345000e-01	   4.2183000e-02	   4.9871000e-01	
-   2.8000000e+02	  -9.3762000e-01	  -1.0101000e+00	  -9.7695000e-01	  -4.9191000e-01	  -3.0937000e-01	  -3.1145000e-01	  -5.7206000e-01	  -1.5168000e-01	   2.5883000e-01	
-   2.8100000e+02	   1.0598000e+00	   1.0348000e+00	   1.0124000e+00	   1.5629000e-01	  -3.8215000e-02	  -3.8629000e-02	   5.1936000e-01	   1.1521000e-01	   4.7541000e-01	
-   2.8200000e+02	  -9.5338000e-01	  -1.0166000e+00	  -9.7789000e-01	  -2.7802000e-02	  -6.0103000e-02	  -6.1911000e-02	  -8.5832000e-03	   2.7050000e-01	   7.1071000e-01	
-   2.8300000e+02	  -9.7027000e-01	   1.0346000e+00	  -9.8011000e-01	  -1.4205000e-01	  -1.6260000e-02	  -1.8777000e-02	  -4.8064000e-01	   1.6454000e-01	   6.1740000e-01	
-   2.8400000e+02	   1.0518000e+00	   1.0374000e+00	   1.0192000e+00	   9.5017000e-02	  -5.2920000e-02	  -5.6645000e-02	   5.8933000e-01	   2.1988000e-01	   6.1552000e-01	
-   2.8500000e+02	  -9.7554000e-01	   1.0285000e+00	  -9.7810000e-01	  -2.7828000e-01	  -2.7718000e-01	  -2.8258000e-01	  -2.8202000e-01	   6.3676000e-02	   4.3109000e-01	
-   2.8600000e+02	  -9.7737000e-01	  -1.0352000e+00	  -9.5504000e-01	  -5.5736000e-01	  -3.5487000e-01	  -3.6143000e-01	  -7.1211000e-01	  -2.4177000e-01	   2.4651000e-01	
-   2.8700000e+02	  -9.6394000e-01	  -1.0359000e+00	   1.0715000e+00	  -3.6741000e-01	  -6.5909000e-01	  -6.6899000e-01	   4.5517000e-01	  -3.6049000e-01	   2.5244000e-02	
-   2.8800000e+02	   1.0186000e+00	   1.0128000e+00	   1.0457000e+00	  -2.2409000e-01	  -4.5758000e-01	  -4.6541000e-01	   6.1618000e-01	  -9.3822000e-02	   3.3251000e-01	
-   2.8900000e+02	  -9.6279000e-01	   1.0294000e+00	   1.0365000e+00	  -8.1016000e-02	  -3.0991000e-01	  -3.1704000e-01	   1.0279000e+00	  -1.3470000e-02	   4.3977000e-01	
-   2.9000000e+02	  -9.6921000e-01	  -1.0252000e+00	   1.0477000e+00	   6.1086000e-02	  -2.6969000e-01	  -2.7607000e-01	   1.3193000e+00	   1.0364000e-01	   6.0165000e-01	
-   2.9100000e+02	  -1.0033000e+00	  -1.0321000e+00	  -9.5183000e-01	  -5.7053000e-01	  -4.5675000e-01	  -4.6476000e-01	  -3.0219000e-03	  -4.2132000e-03	   2.3505000e-01	
-   2.9200000e+02	  -9.6928000e-01	  -1.0175000e+00	   1.0586000e+00	  -3.7106000e-01	  -5.6387000e-01	  -5.7340000e-01	   9.0681000e-01	  -2.1270000e-01	   1.9618000e-01	
-   2.9300000e+02	  -9.6967000e-01	   1.0011000e+00	   1.0621000e+00	  -1.4864000e-01	  -4.4591000e-01	  -4.5360000e-01	   1.2095000e+00	   3.7680000e-02	   5.5846000e-01	
-   2.9400000e+02	  -9.9179000e-01	   1.0131000e+00	  -9.5280000e-01	  -5.1267000e-01	  -4.8755000e-01	  -4.9642000e-01	  -6.9931000e-02	  -1.2264000e-01	   3.5504000e-01	
-   2.9500000e+02	  -9.9109000e-01	   9.9851000e-01	  -9.5861000e-01	  -9.5947000e-01	  -8.8974000e-01	  -9.0239000e-01	  -8.4624000e-01	  -5.8196000e-01	  -1.7648000e-01	
-   2.9600000e+02	   1.0250000e+00	   9.9091000e-01	   1.0164000e+00	  -8.5496000e-01	  -1.0926000e+00	  -1.1069000e+00	  -7.2590000e-02	  -8.2957000e-01	  -5.4325000e-01	
-   2.9700000e+02	  -9.5135000e-01	   9.7870000e-01	   1.0205000e+00	  -8.1932000e-01	  -1.3624000e+00	  -1.3785000e+00	   3.0031000e-01	  -9.5204000e-01	  -6.3584000e-01	
-   2.9800000e+02	   1.0484000e+00	   9.8512000e-01	   1.0335000e+00	  -9.8218000e-01	  -1.2736000e+00	  -1.2869000e+00	   2.1672000e-01	  -1.0485000e+00	  -7.0887000e-01	
-   2.9900000e+02	   1.0643000e+00	  -1.0517000e+00	   1.0214000e+00	  -7.7050000e-01	  -1.2381000e+00	  -1.2491000e+00	   2.1864000e-01	  -1.2316000e+00	  -9.8079000e-01	
-   3.0000000e+02	   1.0705000e+00	  -1.0607000e+00	   1.0087000e+00	  -9.7948000e-01	  -1.5614000e+00	  -1.5722000e+00	   3.1401000e-01	  -1.2640000e+00	  -8.4998000e-01	
-   3.0100000e+02	  -9.6588000e-01	  -1.0800000e+00	  -9.9230000e-01	  -1.1182000e+00	  -1.4987000e+00	  -1.5051000e+00	  -5.5028000e-01	  -1.1948000e+00	  -8.4520000e-01	
-   3.0200000e+02	  -9.5558000e-01	  -1.0698000e+00	  -9.8073000e-01	  -1.0100000e+00	  -1.3027000e+00	  -1.3034000e+00	  -8.5577000e-01	  -1.1251000e+00	  -7.4836000e-01	
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-   3.0400000e+02	   1.0462000e+00	  -1.0605000e+00	  -9.9612000e-01	  -8.9819000e-01	  -1.0946000e+00	  -1.0871000e+00	  -1.1874000e+00	  -1.0217000e+00	  -5.6970000e-01	
-   3.0500000e+02	   1.0635000e+00	   9.8428000e-01	   9.8907000e-01	  -4.4968000e-01	  -7.5040000e-01	  -7.3759000e-01	   5.1819000e-03	  -7.2677000e-01	  -3.4305000e-01	
-   3.0600000e+02	  -9.4556000e-01	  -1.0627000e+00	  -9.9423000e-01	  -4.1209000e-01	  -6.3354000e-01	  -6.1656000e-01	  -5.0853000e-01	  -4.3283000e-01	   6.5529000e-02	
-   3.0700000e+02	  -9.5740000e-01	  -1.0656000e+00	  -1.0143000e+00	  -5.8664000e-01	  -7.0407000e-01	  -6.8606000e-01	  -7.5479000e-01	  -4.7577000e-01	  -2.8251000e-04	
-   3.0800000e+02	   1.0464000e+00	   9.7873000e-01	  -1.0077000e+00	  -5.2781000e-01	  -5.3586000e-01	  -5.1443000e-01	  -1.0399000e+00	  -4.5790000e-01	  -1.5810000e-01	
-   3.0900000e+02	  -9.5943000e-01	   9.6995000e-01	  -1.0007000e+00	  -8.7962000e-01	  -1.0352000e+00	  -1.0154000e+00	  -1.1349000e+00	  -6.8931000e-01	  -2.2561000e-01	
-   3.1000000e+02	  -9.4200000e-01	   9.7410000e-01	   9.7144000e-01	  -4.0085000e-01	  -9.3582000e-01	  -9.1389000e-01	   1.0724000e-01	  -5.9877000e-01	  -7.5097000e-02	
-   3.1100000e+02	  -9.5001000e-01	  -1.0473000e+00	  -9.9652000e-01	  -8.5985000e-01	  -9.7049000e-01	  -9.4740000e-01	  -8.2128000e-01	  -6.2115000e-01	  -1.8057000e-01	
-   3.1200000e+02	   1.0444000e+00	  -1.0522000e+00	  -1.0031000e+00	  -1.2261000e+00	  -1.2325000e+00	  -1.2109000e+00	  -1.4194000e+00	  -1.0545000e+00	  -6.8742000e-01	
-   3.1300000e+02	   1.0955000e+00	   9.9377000e-01	   1.0105000e+00	  -7.9540000e-01	  -1.1090000e+00	  -1.0855000e+00	  -4.3573000e-01	  -1.1772000e+00	  -6.4735000e-01	
-   3.1400000e+02	   1.0425000e+00	   1.0137000e+00	  -9.8973000e-01	  -1.0442000e+00	  -1.3841000e+00	  -1.3633000e+00	  -1.2281000e+00	  -1.0514000e+00	  -6.4294000e-01	
-   3.1500000e+02	  -9.1088000e-01	   1.0187000e+00	   1.0178000e+00	  -6.7234000e-01	  -1.1401000e+00	  -1.1181000e+00	  -4.6649000e-02	  -9.8738000e-01	  -3.8311000e-01	
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-   3.1700000e+02	  -9.2085000e-01	   1.0262000e+00	   1.0189000e+00	  -9.6069000e-01	  -1.3866000e+00	  -1.3667000e+00	  -1.2876000e-01	  -1.1209000e+00	  -4.4544000e-01	
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-   3.2200000e+02	   1.0709000e+00	   9.6492000e-01	  -9.9745000e-01	  -1.1199000e+00	  -1.6336000e+00	  -1.6184000e+00	  -7.8859000e-01	  -1.1250000e+00	  -5.6232000e-01	
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-   3.2400000e+02	  -9.0489000e-01	   6.8394000e-01	  -9.9026000e-01	  -1.2905000e+00	  -1.6241000e+00	  -1.6103000e+00	  -1.3859000e+00	  -1.3190000e+00	  -7.4878000e-01	
-   3.2500000e+02	   1.1003000e+00	   6.9698000e-01	   9.9594000e-01	  -1.0356000e+00	  -1.4590000e+00	  -1.4452000e+00	  -2.3218000e-01	  -1.1793000e+00	  -7.2293000e-01	
-   3.2600000e+02	   1.0605000e+00	   6.8660000e-01	  -9.9382000e-01	  -1.2961000e+00	  -1.6139000e+00	  -1.6023000e+00	  -1.1930000e+00	  -1.2632000e+00	  -6.7830000e-01	
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-   3.4600000e+02	   1.0859000e+00	  -1.0177000e+00	   9.5695000e-01	  -2.7120000e-01	  -6.7908000e-01	  -6.8701000e-01	  -2.9475000e-01	  -5.9206000e-01	  -5.6005000e-01	
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-   3.5200000e+02	   1.0655000e+00	   1.0010000e+00	   9.4861000e-01	   1.9438000e-01	  -4.3400000e-01	  -4.4461000e-01	  -3.8174000e-01	  -9.6455000e-01	  -1.0208000e+00	
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-   3.5500000e+02	   1.0714000e+00	   9.6677000e-01	   9.4535000e-01	  -5.2449000e-02	  -5.3502000e-01	  -5.5012000e-01	  -1.0144000e+00	  -1.3752000e+00	  -1.9261000e+00	
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-   3.6100000e+02	   1.0481000e+00	  -1.0587000e+00	   9.9760000e-01	  -2.6194000e-01	  -5.7610000e-01	  -5.9265000e-01	  -7.9757000e-01	  -1.2224000e+00	  -1.8411000e+00	
-   3.6200000e+02	   1.0298000e+00	   9.1368000e-01	  -1.0118000e+00	  -1.2522000e+00	  -7.9953000e-01	  -8.1796000e-01	  -1.8074000e+00	  -1.3049000e+00	  -1.5485000e+00	
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-   3.6500000e+02	   1.0397000e+00	   9.3782000e-01	   1.0042000e+00	  -5.4148000e-02	   5.5331000e-02	   4.1425000e-02	   2.7693000e-01	  -1.5803000e-01	  -5.2016000e-01	
-   3.6600000e+02	   1.0384000e+00	  -1.0615000e+00	  -1.0023000e+00	  -4.3161000e-01	  -5.8748000e-02	  -7.4016000e-02	  -7.8890000e-01	  -2.2735000e-01	  -4.8256000e-01	
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-   3.6800000e+02	  -9.7374000e-01	   9.8044000e-01	   1.0030000e+00	   3.5943000e-01	   4.5696000e-01	   4.4647000e-01	   6.9534000e-01	   2.6489000e-01	  -8.8686000e-03	
-   3.6900000e+02	  -9.8049000e-01	   9.7089000e-01	   1.0215000e+00	   7.0734000e-01	   7.5369000e-01	   7.4567000e-01	   1.0890000e+00	   7.1427000e-01	   2.7941000e-01	
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-   3.7100000e+02	  -9.9406000e-01	  -1.0401000e+00	   1.0259000e+00	   2.5102000e-01	   4.2311000e-01	   4.1294000e-01	   7.9289000e-01	   5.0012000e-01	   2.6489000e-01	
-   3.7200000e+02	  -1.0052000e+00	   9.3823000e-01	   1.0157000e+00	   3.2622000e-01	   5.8215000e-01	   5.7372000e-01	   1.0392000e+00	   6.5659000e-01	   3.4608000e-01	
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-   3.7600000e+02	  -1.0254000e+00	  -1.0413000e+00	  -9.8653000e-01	  -1.5524000e-01	   2.7573000e-01	   2.6397000e-01	   1.7568000e-01	   6.0410000e-01	   1.0113000e-01	
-   3.7700000e+02	  -1.0126000e+00	  -1.0405000e+00	  -9.9125000e-01	  -1.3082000e-01	   2.5713000e-01	   2.4473000e-01	  -5.0401000e-01	   1.7987000e-01	  -2.1220000e-01	
-   3.7800000e+02	  -1.0056000e+00	   9.4280000e-01	  -1.0023000e+00	  -2.8196000e-01	   2.2494000e-01	   2.1245000e-01	  -9.9397000e-01	  -1.7079000e-01	  -5.0844000e-01	
-   3.7900000e+02	  -9.8750000e-01	  -1.0310000e+00	   1.0040000e+00	  -1.2766000e-01	   1.3942000e-01	   1.2555000e-01	   2.2302000e-01	  -1.2393000e-01	  -5.8643000e-01	
-   3.8000000e+02	   1.0132000e+00	   9.5752000e-01	   9.6039000e-01	  -1.1398000e-01	   6.7562000e-02	   5.2621000e-02	   3.3147000e-01	   5.9332000e-02	  -3.5512000e-01	
-   3.8100000e+02	   1.0299000e+00	   9.4731000e-01	   9.7365000e-01	  -1.8209000e-01	   1.2862000e-01	   1.1377000e-01	   3.5988000e-01	   3.1266000e-02	  -3.0697000e-01	
-   3.8200000e+02	  -9.6396000e-01	  -9.9934000e-01	   9.8698000e-01	   3.0806000e-02	   1.4972000e-01	   1.3485000e-01	   7.1715000e-01	  -3.4621000e-02	  -1.3216000e-01	
-   3.8300000e+02	  -9.6241000e-01	  -9.9770000e-01	   9.8327000e-01	   1.0356000e-01	   3.4400000e-01	   3.2978000e-01	   9.5408000e-01	   1.8440000e-01	  -2.1396000e-01	
-   3.8400000e+02	   1.0388000e+00	   9.5639000e-01	  -1.0232000e+00	  -1.4034000e-01	   8.5316000e-02	   6.9064000e-02	  -5.3247000e-01	   7.9778000e-02	  -3.5157000e-01	
-   3.8500000e+02	   1.0530000e+00	  -9.8694000e-01	  -1.0317000e+00	  -5.2438000e-01	  -1.3285000e-01	  -1.5161000e-01	  -1.1306000e+00	  -3.2355000e-01	  -8.7267000e-01	
-   3.8600000e+02	   1.0653000e+00	   9.8457000e-01	   9.4678000e-01	  -1.8136000e-01	   1.8106000e-01	   1.6558000e-01	  -2.7264000e-01	  -4.0374000e-01	  -9.2018000e-01	
-   3.8700000e+02	  -9.4112000e-01	   9.7274000e-01	   9.6030000e-01	   3.9604000e-01	   4.0255000e-01	   3.8873000e-01	   3.9650000e-01	   2.6490000e-02	  -5.6706000e-01	
-   3.8800000e+02	   1.0549000e+00	   9.8645000e-01	   9.3206000e-01	   3.1669000e-01	   4.5029000e-01	   4.3715000e-01	   4.1940000e-01	   2.3254000e-01	  -1.0533000e-01	
-   3.8900000e+02	   1.0456000e+00	   9.8494000e-01	   9.2445000e-01	   2.5981000e-01	   4.7112000e-01	   4.5826000e-01	   4.8689000e-01	   1.7610000e-01	  -2.1011000e-01	
-   3.9000000e+02	   1.0496000e+00	  -9.6441000e-01	  -1.0427000e+00	  -1.0250000e-01	   2.6489000e-01	   2.5031000e-01	  -7.2898000e-01	  -5.5386000e-02	  -6.6273000e-01	
-   3.9100000e+02	   1.0442000e+00	  -9.9556000e-01	  -1.0480000e+00	  -3.2420000e-01	   5.8109000e-02	   4.2373000e-02	  -1.2215000e+00	  -2.9999000e-01	  -9.1593000e-01	
-   3.9200000e+02	  -9.5146000e-01	  -9.9620000e-01	   9.4645000e-01	   2.3906000e-01	   3.1818000e-01	   3.0432000e-01	   6.3213000e-02	  -2.9621000e-01	  -7.5045000e-01	
-   3.9300000e+02	  -9.7824000e-01	   9.8146000e-01	  -1.0631000e+00	   4.1509000e-01	   6.1769000e-01	   6.0692000e-01	  -7.2791000e-01	   1.6679000e-01	  -5.6733000e-01	
-   3.9400000e+02	  -9.7420000e-01	   9.8987000e-01	  -1.0523000e+00	   1.5629000e-01	   4.7668000e-01	   4.6510000e-01	  -1.1103000e+00	   1.9622000e-02	  -5.1276000e-01	
-   3.9500000e+02	   1.0355000e+00	   9.8316000e-01	  -1.0636000e+00	   2.2396000e-03	   5.3468000e-01	   5.2405000e-01	  -1.4759000e+00	  -2.8987000e-01	  -7.3272000e-01	
-   3.9600000e+02	  -9.9210000e-01	   9.9276000e-01	  -1.0496000e+00	  -7.3754000e-01	  -4.6038000e-01	  -4.7781000e-01	  -1.9024000e+00	  -6.4983000e-01	  -1.3178000e+00	
-   3.9700000e+02	   1.0381000e+00	  -9.7920000e-01	  -1.0653000e+00	  -6.5671000e-01	  -2.5607000e-01	  -2.7141000e-01	  -2.2165000e+00	  -9.9700000e-01	  -1.5562000e+00	
-   3.9800000e+02	  -9.7488000e-01	   9.8706000e-01	   9.6601000e-01	  -5.8640000e-01	  -2.7772000e-01	  -2.9313000e-01	  -1.0109000e+00	  -9.9546000e-01	  -1.7386000e+00	
-   3.9900000e+02	  -1.0040000e+00	  -9.7659000e-01	  -1.0370000e+00	  -6.4403000e-01	  -3.6517000e-01	  -3.8098000e-01	  -1.7610000e+00	  -1.0795000e+00	  -1.7563000e+00	
-   4.0000000e+02	  -9.8636000e-01	  -9.6731000e-01	   9.5853000e-01	  -4.6604000e-01	  -2.7830000e-01	  -2.9346000e-01	  -8.0356000e-01	  -1.1251000e+00	  -1.8083000e+00	
-   4.0100000e+02	   1.0202000e+00	  -9.7302000e-01	   9.3775000e-01	  -1.7062000e-01	  -1.7726000e-01	  -1.9103000e-01	  -4.9793000e-01	  -1.0202000e+00	  -1.5865000e+00	
-   4.0200000e+02	  -9.8547000e-01	   9.7388000e-01	   9.7140000e-01	   8.0960000e-03	  -1.1591000e-01	  -1.2865000e-01	  -2.8186000e-02	  -6.5363000e-01	  -1.2552000e+00	
-   4.0300000e+02	   1.0173000e+00	   9.6310000e-01	   9.3844000e-01	   1.6264000e-01	   1.7219000e-01	   1.6217000e-01	   5.4370000e-02	  -3.9901000e-01	  -1.0337000e+00	
-   4.0400000e+02	  -9.8955000e-01	   9.6743000e-01	   9.3910000e-01	   3.3990000e-01	   3.1374000e-01	   3.0495000e-01	   2.9991000e-01	  -3.5607000e-01	  -7.5857000e-01	
-   4.0500000e+02	   1.0272000e+00	  -9.6328000e-01	  -1.0332000e+00	  -4.7923000e-01	  -2.7772000e-01	  -2.9097000e-01	  -9.6589000e-01	  -5.2490000e-01	  -1.0858000e+00	
-   4.0600000e+02	   1.0092000e+00	   9.8241000e-01	   9.4758000e-01	  -5.0193000e-01	  -2.1640000e-01	  -2.2890000e-01	  -2.1941000e-01	  -6.3218000e-01	  -1.2133000e+00	
-   4.0700000e+02	  -9.8793000e-01	   9.7964000e-01	   9.2710000e-01	  -1.0274000e-01	  -1.4172000e-01	  -1.5441000e-01	   3.2912000e-01	  -4.4150000e-01	  -9.2229000e-01	
-   4.0800000e+02	   1.0167000e+00	   9.7784000e-01	   9.0981000e-01	   2.5918000e-02	  -1.3211000e-02	  -2.5596000e-02	   3.0105000e-01	  -3.0110000e-01	  -8.1434000e-01	
-   4.0900000e+02	  -1.0201000e+00	   9.6531000e-01	  -1.0731000e+00	  -4.7825000e-01	  -1.2505000e-01	  -1.3950000e-01	  -8.8508000e-01	  -5.8369000e-01	  -1.1998000e+00	
-   4.1000000e+02	  -1.0158000e+00	  -9.8019000e-01	  -1.0756000e+00	  -8.5374000e-01	  -6.8908000e-01	  -7.0934000e-01	  -1.3952000e+00	  -9.6569000e-01	  -1.7494000e+00	
-   4.1100000e+02	   9.8861000e-01	  -9.8339000e-01	  -1.0928000e+00	  -1.1809000e+00	  -8.7976000e-01	  -9.0239000e-01	  -1.9824000e+00	  -1.5828000e+00	  -2.1709000e+00	
-   4.1200000e+02	   1.0213000e+00	  -9.9734000e-01	  -1.0757000e+00	  -9.9097000e-01	  -6.6878000e-01	  -6.9104000e-01	  -2.1983000e+00	  -1.5894000e+00	  -2.2448000e+00	
-   4.1300000e+02	  -1.0123000e+00	  -9.8132000e-01	  -1.0658000e+00	  -8.1005000e-01	  -6.9599000e-01	  -7.1959000e-01	  -2.0886000e+00	  -1.6056000e+00	  -2.2797000e+00	
-   4.1400000e+02	  -1.0199000e+00	  -9.9129000e-01	  -1.0706000e+00	  -6.3914000e-01	  -5.8801000e-01	  -6.1190000e-01	  -2.1565000e+00	  -1.6318000e+00	  -2.2754000e+00	
-   4.1500000e+02	  -1.0099000e+00	  -9.7022000e-01	   9.0299000e-01	  -2.2067000e-01	  -1.7283000e-01	  -1.9351000e-01	  -5.9449000e-01	  -1.1090000e+00	  -1.5765000e+00	
-   4.1600000e+02	  -1.0259000e+00	  -9.6008000e-01	  -1.0616000e+00	  -1.8893000e-01	   9.7242000e-02	   7.7740000e-02	  -1.2724000e+00	  -7.9652000e-01	  -1.3139000e+00	
-   4.1700000e+02	   1.0044000e+00	  -9.6666000e-01	  -1.0742000e+00	  -2.5070000e-01	  -5.1812000e-03	  -2.6222000e-02	  -1.6031000e+00	  -8.3125000e-01	  -1.4511000e+00	
-   4.1800000e+02	   1.0112000e+00	  -9.6782000e-01	   9.2967000e-01	   2.1538000e-01	   2.1271000e-01	   1.9322000e-01	  -4.8618000e-01	  -7.0448000e-01	  -1.2418000e+00	
-   4.1900000e+02	  -1.0046000e+00	   1.0262000e+00	  -1.0557000e+00	   1.7778000e-01	   3.3678000e-01	   3.1859000e-01	  -1.1215000e+00	  -4.6524000e-01	  -8.5010000e-01	
-   4.2000000e+02	   1.0043000e+00	   1.0363000e+00	   9.1949000e-01	   5.7281000e-01	   5.5467000e-01	   5.3835000e-01	  -1.0579000e-01	  -2.1404000e-01	  -6.2240000e-01	
-   4.2100000e+02	   1.0074000e+00	  -9.3916000e-01	   9.2156000e-01	   7.3322000e-01	   5.8547000e-01	   5.6970000e-01	   4.5294000e-01	   2.3920000e-02	  -3.0418000e-01	
-   4.2200000e+02	  -1.0060000e+00	  -9.2933000e-01	  -1.0401000e+00	   3.7651000e-01	   5.8855000e-01	   5.7341000e-01	  -4.5990000e-01	   8.7078000e-02	  -2.4213000e-01	
-   4.2300000e+02	  -9.9392000e-01	   1.0478000e+00	   9.4357000e-01	   3.1279000e-01	   3.3763000e-01	   3.2169000e-01	   4.1898000e-01	   9.9815000e-02	  -2.1804000e-01	
-   4.2400000e+02	   1.0253000e+00	  -9.1935000e-01	   9.3721000e-01	   4.2413000e-01	   4.3307000e-01	   4.1853000e-01	   7.3767000e-01	   3.8470000e-01	   1.6926000e-01	
-   4.2500000e+02	   1.0128000e+00	  -9.1972000e-01	   9.2639000e-01	   6.0407000e-01	   6.6150000e-01	   6.4820000e-01	   9.5159000e-01	   5.3180000e-01	   3.1743000e-01	
-   4.2600000e+02	  -1.0069000e+00	  -9.1089000e-01	  -1.0387000e+00	   6.4240000e-01	   8.8857000e-01	   8.7727000e-01	   1.2515000e-01	   4.7833000e-01	   1.9061000e-01	
-   4.2700000e+02	   1.0068000e+00	   1.0806000e+00	  -1.0632000e+00	   5.3888000e-01	   8.6276000e-01	   8.5058000e-01	  -3.9575000e-01	   3.6125000e-01	   1.5301000e-01	
-   4.2800000e+02	   1.0158000e+00	   1.0733000e+00	   9.0431000e-01	   8.3309000e-01	   9.1548000e-01	   9.0364000e-01	   6.2399000e-01	   5.1615000e-01	   3.5073000e-01	
-   4.2900000e+02	  -9.9905000e-01	   1.0833000e+00	  -1.0625000e+00	   5.7525000e-01	   9.6711000e-01	   9.5548000e-01	  -1.1054000e-01	   5.4536000e-01	   3.8293000e-01	
-   4.3000000e+02	   1.0044000e+00	   1.0745000e+00	   9.0661000e-01	   5.3913000e-01	   7.6477000e-01	   7.5126000e-01	   5.5337000e-01	   4.3642000e-01	   2.8573000e-01	
-   4.3100000e+02	   1.0199000e+00	   1.0690000e+00	  -1.0624000e+00	   8.1099000e-02	   4.5530000e-01	   4.3873000e-01	  -4.8214000e-01	   1.7694000e-01	   4.7995000e-03	
-   4.3200000e+02	   1.0092000e+00	  -8.9381000e-01	  -1.0529000e+00	  -2.4802000e-01	   9.1990000e-02	   7.2474000e-02	  -8.7264000e-01	  -1.7003000e-01	  -3.6774000e-01	
-   4.3300000e+02	  -1.0087000e+00	  -8.8263000e-01	  -1.0656000e+00	  -3.1809000e-01	  -3.0423000e-02	  -5.1359000e-02	  -1.1750000e+00	  -5.1610000e-01	  -7.5832000e-01	
-   4.3400000e+02	   9.9263000e-01	   1.0822000e+00	  -1.0608000e+00	  -4.3357000e-01	  -1.7835000e-01	  -2.0128000e-01	  -1.3725000e+00	  -6.8692000e-01	  -7.6502000e-01	
-   4.3500000e+02	   1.0036000e+00	   1.0775000e+00	   9.3587000e-01	   3.8614000e-02	   1.1391000e-01	   9.3274000e-02	  -2.0002000e-01	  -4.7143000e-01	  -8.0661000e-01	
-   4.3600000e+02	   9.8982000e-01	  -8.8341000e-01	   9.2554000e-01	   1.1308000e-01	   7.4203000e-02	   5.2318000e-02	   3.2850000e-01	  -2.0515000e-01	  -3.9181000e-01	
-   4.3700000e+02	   9.9497000e-01	  -8.7731000e-01	   9.1651000e-01	   4.2168000e-01	   3.4122000e-01	   3.2107000e-01	   6.9893000e-01	   1.1146000e-01	  -1.2255000e-01	
-   4.3800000e+02	  -1.0222000e+00	   1.0824000e+00	   9.4472000e-01	   5.8966000e-01	   5.8188000e-01	   5.6286000e-01	   1.1304000e+00	   4.2818000e-01	   3.4708000e-01	
-   4.3900000e+02	  -1.0456000e+00	  -9.1475000e-01	  -1.0569000e+00	   4.7540000e-01	   6.7597000e-01	   6.5658000e-01	   2.3910000e-01	   6.5721000e-01	   4.1496000e-01	
-   4.4000000e+02	   9.5237000e-01	   1.0681000e+00	  -1.0554000e+00	   1.2601000e-01	   4.4890000e-01	   4.2753000e-01	  -4.4041000e-01	   4.2595000e-01	   2.4451000e-01	
-   4.4100000e+02	   9.6812000e-01	  -9.0010000e-01	   9.2871000e-01	   5.6133000e-01	   7.4119000e-01	   7.2148000e-01	   6.1821000e-01	   4.9182000e-01	   2.7408000e-01	
-   4.4200000e+02	  -1.0562000e+00	  -9.1061000e-01	  -1.0516000e+00	   1.5239000e-01	   5.2662000e-01	   5.0419000e-01	  -6.8601000e-02	   3.9550000e-01	   2.8464000e-01	
-   4.4300000e+02	   9.3324000e-01	   1.0814000e+00	  -1.0494000e+00	   1.5337000e-01	   4.0505000e-01	   3.8066000e-01	  -4.7271000e-01	   3.2365000e-01	   4.7611000e-01	
-   4.4400000e+02	   9.4289000e-01	  -8.8923000e-01	  -1.0447000e+00	   8.3528000e-02	   4.0282000e-01	   3.7788000e-01	  -6.4720000e-01	   2.7608000e-01	   1.3863000e-01	
-   4.4500000e+02	  -1.0567000e+00	   1.0735000e+00	   9.5588000e-01	   4.1217000e-01	   5.2025000e-01	   4.9582000e-01	   6.1047000e-01	   3.5267000e-01	   4.0254000e-01	
-   4.4600000e+02	  -1.0746000e+00	  -8.8334000e-01	   9.6094000e-01	   7.8693000e-01	   7.8364000e-01	   7.6056000e-01	   1.3015000e+00	   8.5112000e-01	   8.6612000e-01	
-   4.4700000e+02	  -1.1017000e+00	  -8.9528000e-01	  -1.0316000e+00	   3.2818000e-01	   4.8694000e-01	   4.6044000e-01	   2.7643000e-01	   7.3938000e-01	   8.3609000e-01	
-   4.4800000e+02	   9.0386000e-01	   1.0849000e+00	   9.3300000e-01	   4.3120000e-01	   6.1546000e-01	   5.8891000e-01	   7.9950000e-01	   6.2671000e-01	   6.2253000e-01	
-   4.4900000e+02	  -1.0908000e+00	   1.1015000e+00	   9.7213000e-01	   5.7989000e-01	   6.2237000e-01	   5.9514000e-01	   1.3050000e+00	   7.6114000e-01	   7.7202000e-01	
-   4.5000000e+02	   8.8604000e-01	   1.0830000e+00	   9.3337000e-01	   4.6952000e-01	   4.1617000e-01	   3.8595000e-01	   1.2895000e+00	   8.5671000e-01	   9.9282000e-01	
-   4.5100000e+02	  -1.0963000e+00	  -8.8345000e-01	   9.5859000e-01	   4.7516000e-01	   4.6140000e-01	   4.3126000e-01	   1.5143000e+00	   7.1454000e-01	   8.1080000e-01	
-   4.5200000e+02	   8.7018000e-01	   1.0941000e+00	  -1.0515000e+00	  -8.2729000e-02	   1.7219000e-01	   1.3951000e-01	   5.4837000e-02	   4.3387000e-01	   5.1750000e-01	
-   4.5300000e+02	  -1.1024000e+00	  -8.7942000e-01	   9.5985000e-01	   2.2563000e-01	   6.9222000e-02	   3.5231000e-02	   9.6064000e-01	   2.7653000e-01	   3.3242000e-01	
-   4.5400000e+02	  -1.1137000e+00	  -8.8472000e-01	   9.5300000e-01	   2.9938000e-01	   4.0563000e-01	   3.7445000e-01	   1.2754000e+00	   3.0487000e-01	   5.8401000e-01	
-   4.5500000e+02	  -1.1160000e+00	  -8.6782000e-01	   9.4951000e-01	   3.9557000e-01	   1.5525000e-01	   1.2245000e-01	   1.5004000e+00	   6.1779000e-01	   6.3386000e-01	
-   4.5600000e+02	   8.6647000e-01	   1.0934000e+00	  -1.0610000e+00	   3.2997000e-02	   1.6999000e-01	   1.3826000e-01	   5.6011000e-02	   2.9582000e-01	   4.6395000e-01	
-   4.5700000e+02	  -1.1220000e+00	  -8.5550000e-01	  -1.0625000e+00	  -1.5499000e-01	   6.4208000e-02	   3.2446000e-02	  -3.5121000e-01	   5.9650000e-02	   8.3136000e-04	
-   4.5800000e+02	  -1.1114000e+00	   1.1104000e+00	   9.3762000e-01	  -2.6073000e-02	  -1.5413000e-02	  -4.7021000e-02	   5.4667000e-01	  -4.0830000e-02	   8.3490000e-02	
-   4.5900000e+02	  -1.1379000e+00	  -8.5020000e-01	  -1.0683000e+00	  -4.3649000e-01	  -2.0196000e-01	  -2.3386000e-01	  -3.4900000e-01	  -8.0153000e-02	  -1.7014000e-02	
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-   4.6200000e+02	  -1.1153000e+00	   1.1136000e+00	  -1.0774000e+00	  -6.8212000e-01	  -5.6053000e-01	  -5.9327000e-01	  -9.4180000e-01	  -6.3302000e-01	  -5.3721000e-01	
-   4.6300000e+02	   9.0598000e-01	  -8.3141000e-01	   8.9501000e-01	  -5.8737000e-01	  -4.8064000e-01	  -5.1258000e-01	  -1.0594000e-01	  -5.7259000e-01	  -5.0941000e-01	
-   4.6400000e+02	   8.7605000e-01	   1.1258000e+00	  -1.0895000e+00	  -8.0956000e-01	  -6.0024000e-01	  -6.3268000e-01	  -1.0704000e+00	  -7.1071000e-01	  -5.5427000e-01	
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-   4.6600000e+02	  -1.0989000e+00	   1.1227000e+00	   8.9471000e-01	  -6.7772000e-01	  -8.4005000e-01	  -8.7136000e-01	  -2.2722000e-01	  -9.0039000e-01	  -6.7851000e-01	
-   4.6700000e+02	  -1.1260000e+00	  -8.3937000e-01	  -1.0816000e+00	  -9.6923000e-01	  -8.3978000e-01	  -8.6981000e-01	  -1.1724000e+00	  -9.7619000e-01	  -8.8567000e-01	
-   4.6800000e+02	   8.8309000e-01	   1.1264000e+00	   8.8573000e-01	  -9.0868000e-01	  -9.3221000e-01	  -9.6169000e-01	  -5.6012000e-01	  -1.0765000e+00	  -9.6445000e-01	
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-   4.7100000e+02	  -1.1195000e+00	   1.1214000e+00	   8.9612000e-01	  -8.7791000e-01	  -1.0193000e+00	  -1.0458000e+00	  -2.4447000e-01	  -1.1994000e+00	  -9.4057000e-01	
-   4.7200000e+02	  -1.1158000e+00	  -8.2980000e-01	   8.8828000e-01	  -6.7650000e-01	  -1.0158000e+00	  -1.0414000e+00	   8.5268000e-02	  -1.0116000e+00	  -7.9770000e-01	
-   4.7300000e+02	  -1.1278000e+00	   1.1362000e+00	  -1.0907000e+00	  -1.3191000e+00	  -1.2519000e+00	  -1.2792000e+00	  -1.2997000e+00	  -1.3575000e+00	  -1.0193000e+00	
-   4.7400000e+02	   8.8323000e-01	   1.1268000e+00	  -1.1043000e+00	  -1.7857000e+00	  -1.5814000e+00	  -1.6100000e+00	  -2.0475000e+00	  -1.8894000e+00	  -1.6224000e+00	
-   4.7500000e+02	   8.9699000e-01	  -8.5961000e-01	   8.8749000e-01	  -1.5818000e+00	  -1.6564000e+00	  -1.6858000e+00	  -1.1651000e+00	  -2.0468000e+00	  -1.7316000e+00	
-   4.7600000e+02	   8.9015000e-01	   1.0943000e+00	  -1.1097000e+00	  -1.7161000e+00	  -1.8087000e+00	  -1.8397000e+00	  -2.1286000e+00	  -2.1148000e+00	  -1.8748000e+00	
-   4.7700000e+02	   9.1394000e-01	  -8.6572000e-01	   8.8222000e-01	  -1.7427000e+00	  -1.9733000e+00	  -2.0042000e+00	  -1.1476000e+00	  -2.1301000e+00	  -2.0336000e+00	
-   4.7800000e+02	   9.1047000e-01	  -8.7868000e-01	   8.6906000e-01	  -1.4160000e+00	  -1.8026000e+00	  -1.8316000e+00	  -7.3960000e-01	  -1.7074000e+00	  -1.4611000e+00	
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-   4.8100000e+02	  -1.1080000e+00	  -8.7995000e-01	  -1.1033000e+00	  -1.4033000e+00	  -1.4706000e+00	  -1.4964000e+00	  -1.9302000e+00	  -1.6347000e+00	  -1.5203000e+00	
-   4.8200000e+02	   8.7973000e-01	  -8.9798000e-01	  -1.1076000e+00	  -1.5994000e+00	  -1.4945000e+00	  -1.5213000e+00	  -2.3320000e+00	  -1.9755000e+00	  -1.7432000e+00	
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-   4.8400000e+02	   9.0206000e-01	  -8.9925000e-01	   9.0385000e-01	  -1.3394000e+00	  -1.4690000e+00	  -1.4977000e+00	  -1.2441000e+00	  -1.8657000e+00	  -1.6686000e+00	
-   4.8500000e+02	   9.0157000e-01	  -8.9538000e-01	  -1.0906000e+00	  -1.1535000e+00	  -1.2200000e+00	  -1.2475000e+00	  -1.7607000e+00	  -1.4649000e+00	  -1.2073000e+00	
-   4.8600000e+02	  -1.0874000e+00	  -8.9900000e-01	   9.3067000e-01	  -4.9778000e-01	  -6.7657000e-01	  -7.0129000e-01	  -3.3295000e-01	  -1.0248000e+00	  -8.3459000e-01	
-   4.8700000e+02	   9.1848000e-01	  -8.9031000e-01	   9.2074000e-01	   5.2518000e-02	  -3.5877000e-01	  -3.8253000e-01	   2.5451000e-01	  -3.1018000e-01	  -1.1427000e-01	
-   4.8800000e+02	   8.8382000e-01	   1.0598000e+00	  -1.0789000e+00	  -1.8533000e-02	   1.1488000e-02	  -1.0101000e-02	  -5.7435000e-01	  -9.2002000e-02	   1.3241000e-01	
-   4.8900000e+02	   9.0103000e-01	   1.0633000e+00	   9.2801000e-01	   1.5413000e-02	  -1.8497000e-02	  -4.1130000e-02	   3.7447000e-01	   1.3784000e-01	   3.9753000e-01	
-   4.9000000e+02	   9.0210000e-01	  -8.9460000e-01	   9.3415000e-01	   4.5832000e-01	   3.2374000e-01	   3.0247000e-01	   8.9005000e-01	   5.2880000e-01	   7.1614000e-01	
-   4.9100000e+02	   9.0461000e-01	  -9.0345000e-01	   9.2141000e-01	   6.1848000e-01	   3.5789000e-01	   3.3691000e-01	   1.1133000e+00	   6.7019000e-01	   9.7944000e-01	
-   4.9200000e+02	   8.7328000e-01	  -8.9182000e-01	   9.1253000e-01	   8.0034000e-01	   6.3070000e-01	   6.1159000e-01	   1.4288000e+00	   1.0583000e+00	   1.3684000e+00	
-   4.9300000e+02	   8.4751000e-01	   1.0532000e+00	  -1.0593000e+00	   7.8180000e-01	   6.6265000e-01	   6.4326000e-01	   5.2446000e-01	   1.1339000e+00	   1.5009000e+00	
-   4.9400000e+02	  -1.1334000e+00	  -8.9048000e-01	   9.5855000e-01	   1.0775000e+00	   7.4617000e-01	   7.2612000e-01	   1.7650000e+00	   1.3814000e+00	   1.7758000e+00	
-   4.9500000e+02	  -1.1491000e+00	   1.0464000e+00	   9.5682000e-01	   1.2889000e+00	   1.1067000e+00	   1.0890000e+00	   2.1303000e+00	   1.8247000e+00	   2.1219000e+00	
-   4.9600000e+02	   8.2296000e-01	  -8.9941000e-01	   9.3062000e-01	   1.3099000e+00	   1.1583000e+00	   1.1401000e+00	   2.1934000e+00	   1.9670000e+00	   2.3187000e+00	
-   4.9700000e+02	  -1.1663000e+00	   1.0551000e+00	   9.4802000e-01	   1.2930000e+00	   1.1009000e+00	   1.0818000e+00	   2.2930000e+00	   1.9444000e+00	   2.2936000e+00	
-   4.9800000e+02	  -1.2031000e+00	   1.0398000e+00	  -1.0618000e+00	   1.0040000e+00	   1.1073000e+00	   1.0877000e+00	   1.0612000e+00	   1.6202000e+00	   2.1923000e+00	
-   4.9900000e+02	  -1.1675000e+00	  -8.9489000e-01	   9.5010000e-01	   7.1320000e-01	   7.2564000e-01	   7.0255000e-01	   1.7927000e+00	   1.3923000e+00	   1.7969000e+00	
-   5.0000000e+02	  -1.1737000e+00	   1.0707000e+00	   9.2729000e-01	   6.0942000e-01	   6.3541000e-01	   6.1098000e-01	   1.8541000e+00	   1.2742000e+00	   1.5456000e+00	
-   5.0100000e+02	  -1.2016000e+00	  -8.9303000e-01	  -1.0699000e+00	   5.9849000e-02	   3.0456000e-01	   2.7761000e-01	   5.6152000e-01	   8.0706000e-01	   1.2383000e+00	
-   5.0200000e+02	  -1.1747000e+00	   1.0725000e+00	   9.3009000e-01	   1.2089000e-01	   2.4076000e-01	   2.1305000e-01	   1.0457000e+00	   3.8943000e-01	   7.8495000e-01	
-   5.0300000e+02	   8.4167000e-01	  -9.0421000e-01	  -1.0810000e+00	  -4.9705000e-01	  -3.6876000e-01	  -4.0113000e-01	  -2.3081000e-01	   5.9468000e-02	   4.4155000e-01	
-   5.0400000e+02	  -1.1762000e+00	  -8.9129000e-01	  -1.0731000e+00	  -7.9637000e-01	  -6.1660000e-01	  -6.5162000e-01	  -7.8974000e-01	  -4.7998000e-01	  -1.5492000e-01	
-   5.0500000e+02	  -1.1558000e+00	  -9.0111000e-01	   9.1415000e-01	  -4.4895000e-01	  -5.4281000e-01	  -5.7806000e-01	   2.5054000e-01	  -5.1964000e-01	  -3.2957000e-01	
-   5.0600000e+02	   8.7010000e-01	  -8.9292000e-01	   9.0258000e-01	  -2.1675000e-01	  -4.6675000e-01	  -5.0202000e-01	   4.5088000e-01	  -2.9524000e-01	  -8.3349000e-03	
-   5.0700000e+02	   8.6876000e-01	  -8.8887000e-01	   9.0050000e-01	   2.8377000e-02	  -2.2887000e-01	  -2.6239000e-01	   7.1546000e-01	  -1.0588000e-01	   1.1517000e-01	
-   5.0800000e+02	   8.7809000e-01	  -8.8777000e-01	   8.9276000e-01	  -9.9598000e-02	  -3.4962000e-01	  -3.8378000e-01	   1.0191000e+00	   2.8447000e-01	   5.1426000e-01	
-   5.0900000e+02	   8.8137000e-01	  -8.8959000e-01	   8.7744000e-01	   6.2897000e-01	   3.9811000e-01	   3.6828000e-01	   1.3700000e+00	   6.7627000e-01	   8.4275000e-01	
-   5.1000000e+02	   8.8619000e-01	   1.0756000e+00	  -1.0953000e+00	   5.3691000e-01	   5.7355000e-01	   5.4362000e-01	   4.7860000e-01	   9.1978000e-01	   1.1532000e+00	
-   5.1100000e+02	  -1.1142000e+00	   1.0732000e+00	   8.9110000e-01	   9.3758000e-01	   7.2205000e-01	   6.9194000e-01	   1.5839000e+00	   1.1264000e+00	   1.4280000e+00	
-   5.1200000e+02	   8.8056000e-01	  -8.9047000e-01	  -1.1073000e+00	   7.7471000e-01	   7.8974000e-01	   7.6025000e-01	   5.6605000e-01	   1.1589000e+00	   1.4296000e+00	
-   5.1300000e+02	   8.7683000e-01	   1.0788000e+00	  -1.1096000e+00	   1.3165000e-01	   2.9792000e-01	   2.6428000e-01	   4.4526000e-02	   8.9267000e-01	   1.0840000e+00	
-   5.1400000e+02	   8.8402000e-01	  -8.9065000e-01	  -1.1091000e+00	   2.5053000e-01	   4.3172000e-01	   3.9930000e-01	  -1.9967000e-01	   5.8907000e-01	   8.6726000e-01	
-   5.1500000e+02	   8.9626000e-01	  -8.8768000e-01	   8.7060000e-01	   5.6940000e-01	   4.7305000e-01	   4.4121000e-01	   8.6289000e-01	   6.9708000e-01	   9.7999000e-01	
-   5.1600000e+02	  -1.1067000e+00	   1.0848000e+00	   8.9278000e-01	   9.8250000e-01	   8.8800000e-01	   8.5929000e-01	   1.5024000e+00	   1.0793000e+00	   1.2572000e+00	
-   5.1700000e+02	  -1.1070000e+00	  -8.7431000e-01	   8.7685000e-01	   1.3128000e+00	   1.2760000e+00	   1.2503000e+00	   2.0304000e+00	   1.5727000e+00	   1.8440000e+00	
-   5.1800000e+02	   8.7929000e-01	  -8.7731000e-01	   8.4742000e-01	   1.3370000e+00	   1.3043000e+00	   1.2789000e+00	   1.9982000e+00	   1.7546000e+00	   2.0835000e+00	
-   5.1900000e+02	   8.6721000e-01	   1.0684000e+00	  -1.1246000e+00	   6.2262000e-01	   7.3201000e-01	   7.0221000e-01	   8.6403000e-01	   1.5753000e+00	   1.6834000e+00	
-   5.2000000e+02	   8.8626000e-01	  -8.8602000e-01	   8.5106000e-01	   1.1847000e+00	   1.1714000e+00	   1.1460000e+00	   1.6476000e+00	   1.5198000e+00	   1.7569000e+00	
-   5.2100000e+02	   8.8695000e-01	   1.0997000e+00	  -1.1300000e+00	   7.8571000e-01	   1.1573000e+00	   1.1324000e+00	   6.9254000e-01	   1.5381000e+00	   1.7567000e+00	
-   5.2200000e+02	   8.7344000e-01	   1.1041000e+00	   8.3279000e-01	   1.0538000e+00	   1.2225000e+00	   1.1988000e+00	   1.5465000e+00	   1.5808000e+00	   1.7379000e+00	
-   5.2300000e+02	   8.6333000e-01	   1.0998000e+00	  -1.1404000e+00	   8.6457000e-01	   1.0470000e+00	   1.0235000e+00	   6.2292000e-01	   1.4867000e+00	   1.7187000e+00	
-   5.2400000e+02	  -1.1208000e+00	  -8.6427000e-01	  -1.1348000e+00	   3.7067000e-01	   5.6521000e-01	   5.3930000e-01	   2.8959000e-01	   1.2181000e+00	   1.2621000e+00	
-   5.2500000e+02	  -1.1124000e+00	  -8.5814000e-01	   8.4390000e-01	   6.9755000e-01	   8.0279000e-01	   7.8011000e-01	   1.3179000e+00	   1.1613000e+00	   1.2974000e+00	
-   5.2600000e+02	   8.4896000e-01	   1.0932000e+00	  -1.1474000e+00	   5.2079000e-01	   6.2792000e-01	   6.0477000e-01	   2.7090000e-01	   1.0550000e+00	   1.2613000e+00	
-   5.2700000e+02	   8.5132000e-01	  -8.7760000e-01	  -1.1544000e+00	   8.7209000e-02	   3.3373000e-01	   3.0864000e-01	  -1.7732000e-01	   7.7550000e-01	   8.4273000e-01	
-   5.2800000e+02	  -1.1020000e+00	  -8.7584000e-01	   8.7605000e-01	   6.1529000e-01	   6.6624000e-01	   6.4447000e-01	   1.0502000e+00	   8.5755000e-01	   8.2639000e-01	
-   5.2900000e+02	   8.6003000e-01	  -8.8821000e-01	  -1.1411000e+00	   4.9933000e-01	   7.4644000e-01	   7.2547000e-01	   1.5573000e-01	   9.4073000e-01	   1.0480000e+00	
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-   5.3100000e+02	   8.7994000e-01	   1.0790000e+00	   8.4401000e-01	   8.6701000e-01	   9.3462000e-01	   9.1544000e-01	   8.1733000e-01	   9.9822000e-01	   1.0026000e+00	
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-   5.3300000e+02	  -1.1453000e+00	   1.0708000e+00	  -1.1192000e+00	   3.1061000e-01	   5.9103000e-01	   5.6938000e-01	  -3.3211000e-01	   6.8887000e-01	   8.3419000e-01	
-   5.3400000e+02	   8.5192000e-01	  -8.9625000e-01	   8.5994000e-01	   2.2049000e-01	   3.8008000e-01	   3.5680000e-01	   4.7266000e-01	   4.7972000e-01	   6.4142000e-01	
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-   5.3700000e+02	  -1.1315000e+00	  -9.0791000e-01	   9.1170000e-01	   4.0679000e-01	   4.3975000e-01	   4.1139000e-01	   5.2078000e-01	   3.2632000e-01	   2.5818000e-01	
-   5.3800000e+02	  -1.1296000e+00	   1.0438000e+00	   9.0261000e-01	   9.1022000e-01	   8.9020000e-01	   8.6300000e-01	   1.1549000e+00	   8.7247000e-01	   9.6762000e-01	
-   5.3900000e+02	   8.7272000e-01	  -9.3240000e-01	   8.9526000e-01	   1.1326000e+00	   1.1015000e+00	   1.0731000e+00	   1.3802000e+00	   1.2214000e+00	   1.2600000e+00	
-   5.4000000e+02	   8.5192000e-01	  -9.2194000e-01	   8.9729000e-01	   8.8629000e-01	   7.8005000e-01	   7.4688000e-01	   1.5338000e+00	   1.3719000e+00	   1.4798000e+00	
-   5.4100000e+02	   8.7516000e-01	  -9.1504000e-01	   9.1063000e-01	   1.3311000e+00	   1.2977000e+00	   1.2665000e+00	   1.7098000e+00	   1.5473000e+00	   1.5357000e+00	
-   5.4200000e+02	  -1.1307000e+00	   1.0408000e+00	   9.0878000e-01	   1.6458000e+00	   1.5747000e+00	   1.5439000e+00	   2.1985000e+00	   1.9083000e+00	   1.9915000e+00	
-   5.4300000e+02	  -1.1335000e+00	  -9.2186000e-01	   9.1255000e-01	   1.9240000e+00	   1.9308000e+00	   1.9012000e+00	   2.6380000e+00	   2.3553000e+00	   2.4101000e+00	
-   5.4400000e+02	  -1.1328000e+00	  -9.0815000e-01	   8.9545000e-01	   1.8477000e+00	   1.9924000e+00	   1.9614000e+00	   2.7438000e+00	   2.4649000e+00	   2.5162000e+00	
-   5.4500000e+02	   8.3479000e-01	   1.0441000e+00	  -1.0905000e+00	   1.2191000e+00	   1.7057000e+00	   1.6706000e+00	   1.3445000e+00	   2.2236000e+00	   2.3466000e+00	
-   5.4600000e+02	   8.5710000e-01	   1.0458000e+00	   8.9417000e-01	   1.3976000e+00	   1.6979000e+00	   1.6616000e+00	   1.8629000e+00	   2.0425000e+00	   2.1018000e+00	
-   5.4700000e+02	  -1.1262000e+00	  -8.9572000e-01	   9.0064000e-01	   1.4344000e+00	   1.4884000e+00	   1.4493000e+00	   2.2777000e+00	   2.0828000e+00	   1.9645000e+00	
-   5.4800000e+02	   8.4476000e-01	   1.0475000e+00	  -1.1016000e+00	   9.5418000e-01	   1.3582000e+00	   1.3170000e+00	   9.6872000e-01	   1.7985000e+00	   1.8071000e+00	
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-   5.6400000e+02	  -1.0918000e+00	  -9.7010000e-01	   9.5375000e-01	   5.4573000e-01	   5.2886000e-01	   4.8527000e-01	   7.9781000e-01	   3.1315000e-01	   1.0117000e-01	
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-   5.6700000e+02	  -1.0880000e+00	  -9.5640000e-01	   9.5910000e-01	   1.2020000e+00	   1.2413000e+00	   1.2063000e+00	   1.9031000e+00	   1.3458000e+00	   1.2024000e+00	
-   5.6800000e+02	   8.7755000e-01	   9.8958000e-01	   9.3712000e-01	   1.3724000e+00	   1.4465000e+00	   1.4151000e+00	   1.9305000e+00	   1.5689000e+00	   1.4284000e+00	
-   5.6900000e+02	   9.2542000e-01	  -9.7720000e-01	   9.3792000e-01	   1.5189000e+00	   1.3715000e+00	   1.3416000e+00	   1.9950000e+00	   1.6917000e+00	   1.4341000e+00	
-   5.7000000e+02	   9.0965000e-01	   9.9042000e-01	   9.2362000e-01	   1.5116000e+00	   1.4956000e+00	   1.4685000e+00	   2.1119000e+00	   1.8133000e+00	   1.7300000e+00	
-   5.7100000e+02	  -1.1145000e+00	  -9.6171000e-01	  -1.0387000e+00	   1.4207000e+00	   1.5386000e+00	   1.5141000e+00	   1.2916000e+00	   1.7720000e+00	   1.5315000e+00	
-   5.7200000e+02	   8.8681000e-01	   9.9259000e-01	  -1.0389000e+00	   1.0831000e+00	   1.3946000e+00	   1.3710000e+00	   6.2802000e-01	   1.5558000e+00	   1.3136000e+00	
-   5.7300000e+02	   8.7794000e-01	  -9.7517000e-01	  -1.0438000e+00	   9.3341000e-01	   1.2899000e+00	   1.2674000e+00	   4.1380000e-01	   1.3763000e+00	   1.0039000e+00	
-   5.7400000e+02	   8.9923000e-01	   9.8681000e-01	   9.3241000e-01	   1.2637000e+00	   1.3180000e+00	   1.2981000e+00	   1.2701000e+00	   1.3827000e+00	   1.0769000e+00	
-   5.7500000e+02	  -1.1099000e+00	  -9.6280000e-01	   9.3602000e-01	   1.6178000e+00	   1.5727000e+00	   1.5563000e+00	   1.9996000e+00	   1.6871000e+00	   1.3501000e+00	
-   5.7600000e+02	  -1.1065000e+00	  -9.6657000e-01	   9.4696000e-01	   1.8534000e+00	   1.7865000e+00	   1.7739000e+00	   2.3813000e+00	   1.9909000e+00	   1.7493000e+00	
-   5.7700000e+02	  -1.1471000e+00	   1.0076000e+00	  -1.0452000e+00	   1.3028000e+00	   1.4934000e+00	   1.4794000e+00	   1.1965000e+00	   1.9450000e+00	   1.6185000e+00	
-   5.7800000e+02	   8.8007000e-01	  -9.7644000e-01	   9.2539000e-01	   1.4300000e+00	   1.5583000e+00	   1.5461000e+00	   1.8108000e+00	   1.7725000e+00	   1.5585000e+00	
-   5.7900000e+02	  -1.1512000e+00	  -9.7263000e-01	  -1.0398000e+00	   1.3099000e+00	   1.6097000e+00	   1.5982000e+00	   9.6900000e-01	   1.6231000e+00	   1.3878000e+00	
-   5.8000000e+02	  -1.1584000e+00	  -9.6653000e-01	  -1.0414000e+00	   1.0015000e+00	   1.4198000e+00	   1.4077000e+00	   5.6717000e-01	   1.3484000e+00	   1.1425000e+00	
-   5.8100000e+02	  -1.1559000e+00	   1.0001000e+00	  -1.0461000e+00	   9.3901000e-01	   1.1758000e+00	   1.1628000e+00	   2.1289000e-01	   1.1723000e+00	   7.8741000e-01	
-   5.8200000e+02	  -1.1311000e+00	   1.0019000e+00	   9.4705000e-01	   1.1688000e+00	   1.3709000e+00	   1.3596000e+00	   1.2511000e+00	   1.2692000e+00	   8.4976000e-01	
-   5.8300000e+02	   8.6389000e-01	   1.0000000e+00	   9.2573000e-01	   1.0814000e+00	   1.2860000e+00	   1.2736000e+00	   1.3688000e+00	   1.3026000e+00	   8.5756000e-01	
-   5.8400000e+02	   8.6340000e-01	  -9.6725000e-01	  -1.0384000e+00	   5.2469000e-01	   8.5388000e-01	   8.3815000e-01	   1.8827000e-01	   8.3824000e-01	   6.8268000e-01	
-   5.8500000e+02	   8.7339000e-01	   9.9424000e-01	   9.4312000e-01	   6.3627000e-01	   7.6782000e-01	   7.5188000e-01	   7.6130000e-01	   5.6021000e-01	   2.8888000e-01	
-   5.8600000e+02	  -1.1348000e+00	   9.9795000e-01	   9.5165000e-01	   9.1216000e-01	   8.9494000e-01	   8.8070000e-01	   1.2709000e+00	   8.1623000e-01	   3.5059000e-01	
-   5.8700000e+02	  -1.1550000e+00	   9.8287000e-01	  -1.0337000e+00	   3.4405000e-01	   5.4248000e-01	   5.2558000e-01	   1.0508000e-01	   6.4963000e-01	   3.2130000e-01	
-   5.8800000e+02	  -1.1279000e+00	  -9.7781000e-01	   9.4707000e-01	   4.7832000e-01	   5.3634000e-01	   5.2001000e-01	   9.6729000e-01	   4.5850000e-01	   3.6870000e-02	
-   5.8900000e+02	  -1.1635000e+00	  -9.8197000e-01	  -1.0385000e+00	   7.4512000e-02	   3.0375000e-01	   2.8697000e-01	  -2.2997000e-01	   1.9308000e-01	  -2.2916000e-01	
-   5.9000000e+02	  -1.1432000e+00	  -9.8260000e-01	  -1.0361000e+00	  -2.1115000e-01	   1.6524000e-01	   1.4849000e-01	  -7.5853000e-01	  -2.4531000e-01	  -7.4931000e-01	
-   5.9100000e+02	  -1.1385000e+00	   9.6458000e-01	   9.5246000e-01	   1.0259000e-01	   5.4213000e-02	   3.8016000e-02	   2.0836000e-01	  -3.4684000e-01	  -7.9449000e-01	
-   5.9200000e+02	   8.5246000e-01	  -9.9967000e-01	  -1.0481000e+00	  -2.7365000e-01	   1.1835000e-01	   1.0257000e-01	  -7.5798000e-01	  -2.9785000e-01	  -6.7394000e-01	
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-   5.9400000e+02	  -1.1172000e+00	  -9.8706000e-01	   9.3725000e-01	  -2.0260000e-01	  -2.9578000e-01	  -3.1301000e-01	   1.2971000e-01	  -5.0607000e-01	  -9.1943000e-01	
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-   5.9600000e+02	   8.9143000e-01	   9.7765000e-01	   9.4565000e-01	  -2.0424000e-04	   2.7040000e-02	   1.3503000e-02	  -6.2711000e-02	  -3.3533000e-01	  -7.3968000e-01	
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-   5.9800000e+02	   8.9804000e-01	   9.8216000e-01	  -1.0307000e+00	  -5.5639000e-01	  -1.3976000e-01	  -1.5471000e-01	  -1.3836000e+00	  -7.0725000e-01	  -9.5652000e-01	
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-   6.0100000e+02	   9.2177000e-01	  -9.8317000e-01	   9.7035000e-01	  -2.0993000e-01	  -2.4415000e-01	  -2.5932000e-01	  -3.4853000e-01	  -8.9893000e-01	  -1.1418000e+00	
-   6.0200000e+02	   8.8942000e-01	   9.7015000e-01	  -1.0236000e+00	  -6.4673000e-01	  -5.2919000e-01	  -5.4643000e-01	  -1.0483000e+00	  -7.6050000e-01	  -9.5085000e-01	
-   6.0300000e+02	   9.1518000e-01	   9.7513000e-01	  -1.0203000e+00	  -5.9079000e-01	  -4.0068000e-01	  -4.1602000e-01	  -1.2438000e+00	  -6.7027000e-01	  -8.3144000e-01	
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-   6.8500000e+02	   8.3035000e-01	   1.0060000e+00	  -8.8365000e-01	  -1.7351000e+00	  -1.6511000e+00	  -1.6743000e+00	  -1.2912000e+00	  -1.6900000e+00	  -1.4735000e+00	
-   6.8600000e+02	  -1.1556000e+00	  -9.3680000e-01	  -8.9201000e-01	  -2.0176000e+00	  -1.8315000e+00	  -1.8555000e+00	  -1.6970000e+00	  -2.0490000e+00	  -1.8903000e+00	
-   6.8700000e+02	   8.5340000e-01	  -9.3816000e-01	  -8.8703000e-01	  -2.1111000e+00	  -2.0374000e+00	  -2.0629000e+00	  -2.1640000e+00	  -2.3074000e+00	  -2.2328000e+00	
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-   6.9400000e+02	   8.4799000e-01	  -9.4757000e-01	  -8.7993000e-01	  -1.1370000e+00	  -8.4615000e-01	  -8.6733000e-01	  -1.2743000e+00	  -1.2498000e+00	  -1.5192000e+00	
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-   6.9600000e+02	   8.6598000e-01	  -9.4492000e-01	  -8.8333000e-01	  -6.1937000e-01	  -5.0978000e-01	  -5.3212000e-01	  -1.0641000e+00	  -9.6785000e-01	  -1.1643000e+00	
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-   6.9800000e+02	  -1.1439000e+00	  -9.5933000e-01	  -8.8367000e-01	  -9.1998000e-02	   1.0476000e-01	   8.5223000e-02	  -4.8618000e-01	  -1.1379000e-01	  -4.6298000e-01	
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-   7.0200000e+02	   8.2769000e-01	  -9.4412000e-01	  -8.9432000e-01	   2.7372000e-01	   3.9062000e-01	   3.6703000e-01	  -9.7884000e-01	   6.5722000e-02	  -5.1454000e-01	
-   7.0300000e+02	  -1.1432000e+00	   9.9576000e-01	   1.1050000e+00	   7.6815000e-01	   7.7226000e-01	   7.5093000e-01	   5.3990000e-01	   2.6962000e-01	  -1.9741000e-01	
-   7.0400000e+02	  -1.1814000e+00	   1.0148000e+00	  -9.0242000e-01	   7.4494000e-01	   1.0190000e+00	   9.9894000e-01	  -1.2836000e-01	   7.4434000e-01	   3.3643000e-01	
-   7.0500000e+02	  -1.1712000e+00	   1.0100000e+00	  -8.9217000e-01	   4.8514000e-01	   8.1058000e-01	   7.8821000e-01	  -4.6779000e-01	   5.2052000e-01	   1.2062000e-01	
-   7.0600000e+02	  -1.1446000e+00	  -9.2568000e-01	   1.1188000e+00	   4.4732000e-01	   7.3340000e-01	   7.0994000e-01	   5.6795000e-01	   5.1820000e-01	   8.5718000e-02	
-   7.0700000e+02	   8.2971000e-01	  -9.0986000e-01	   1.0843000e+00	   5.1348000e-01	   4.8193000e-01	   4.5610000e-01	   7.7551000e-01	   3.9002000e-01	   8.4580000e-02	
-   7.0800000e+02	   8.4145000e-01	  -9.2000000e-01	  -8.9181000e-01	   1.5751000e-01	   4.2894000e-01	   4.0302000e-01	  -4.8950000e-01	   7.4228000e-02	  -1.9113000e-01	
-   7.0900000e+02	  -1.1505000e+00	   1.0185000e+00	  -9.0130000e-01	   3.5679000e-02	   3.7564000e-01	   3.4994000e-01	  -7.7242000e-01	  -9.2707000e-02	  -7.9633000e-01	
-   7.1000000e+02	   8.6263000e-01	   1.0140000e+00	   1.0901000e+00	   4.6538000e-01	   4.2894000e-01	   4.0362000e-01	   1.9492000e-01	   1.0020000e-01	  -7.2727000e-01	
-   7.1100000e+02	   8.1749000e-01	  -9.4464000e-01	  -9.0817000e-01	   2.6224000e-01	   5.7548000e-01	   5.5074000e-01	  -6.2316000e-01	   1.1937000e-01	  -3.4909000e-01	
-   7.1200000e+02	  -1.1381000e+00	  -9.2376000e-01	  -9.0377000e-01	  -2.1931000e-02	   2.6878000e-01	   2.4196000e-01	  -9.8523000e-01	  -1.1022000e-01	  -9.5461000e-01	
-   7.1300000e+02	  -1.1424000e+00	   1.0365000e+00	  -9.0693000e-01	   1.2822000e-01	   2.4215000e-01	   2.1495000e-01	  -1.2125000e+00	  -2.2744000e-01	  -1.0315000e+00	
-   7.1400000e+02	   8.5485000e-01	   1.0106000e+00	   1.0833000e+00	   5.2523000e-01	   4.9525000e-01	   4.7038000e-01	  -1.7294000e-01	  -2.0738000e-01	  -9.6202000e-01	
-   7.1500000e+02	   8.5610000e-01	   1.0308000e+00	  -9.0086000e-01	   1.0306000e-01	   4.1562000e-01	   3.9063000e-01	  -1.1140000e+00	  -3.7282000e-02	  -9.2867000e-01	
-   7.1600000e+02	   8.6989000e-01	  -8.6245000e-01	  -9.0870000e-01	  -3.7644000e-01	  -2.8884000e-01	  -3.1922000e-01	  -1.6133000e+00	  -6.6115000e-01	  -1.3862000e+00	
-   7.1700000e+02	   8.7775000e-01	  -8.9406000e-01	  -9.0880000e-01	  -1.2740000e-01	  -2.0613000e-01	  -2.3477000e-01	  -1.7637000e+00	  -8.7292000e-01	  -1.4591000e+00	
-   7.1800000e+02	   8.9727000e-01	   1.0030000e+00	   1.0960000e+00	   2.2907000e-01	   1.3149000e-02	  -1.3814000e-02	  -5.3556000e-01	  -5.7284000e-01	  -1.5296000e+00	
-   7.1900000e+02	  -1.0918000e+00	   1.0151000e+00	   1.1199000e+00	   7.9766000e-01	   4.3419000e-01	   4.1139000e-01	   1.8242000e-01	  -2.0858000e-01	  -8.6963000e-01	
-   7.2000000e+02	   8.5875000e-01	  -9.4568000e-01	  -8.9767000e-01	   6.1747000e-01	   4.4364000e-01	   4.2136000e-01	  -7.5111000e-01	   8.2234000e-02	  -7.1857000e-01	
-   7.2100000e+02	   8.8541000e-01	   9.8904000e-01	   1.1000000e+00	   6.4971000e-01	   5.6104000e-01	   5.4051000e-01	   2.1607000e-02	   1.4004000e-02	  -8.7664000e-01	
-   7.2200000e+02	   8.6241000e-01	  -9.7429000e-01	  -8.9540000e-01	   6.0066000e-01	   4.8057000e-01	   4.5951000e-01	  -7.8544000e-01	   9.6107000e-02	  -6.3298000e-01	
-   7.2300000e+02	   8.6189000e-01	  -1.0027000e+00	  -8.9524000e-01	   5.6573000e-01	   4.6807000e-01	   4.4772000e-01	  -1.0889000e+00	  -3.1460000e-02	  -9.1665000e-01	
-   7.2400000e+02	  -1.1054000e+00	  -9.8983000e-01	   1.1289000e+00	   1.1070000e+00	   6.8457000e-01	   6.6588000e-01	   3.2361000e-01	   2.8979000e-01	  -7.8018000e-01	
-   7.2500000e+02	  -1.1400000e+00	   9.3639000e-01	  -8.8706000e-01	   1.3805000e+00	   1.2216000e+00	   1.2075000e+00	  -3.2285000e-01	   6.8689000e-01	  -1.6908000e-01	
-   7.2600000e+02	  -1.1188000e+00	  -9.9248000e-01	   1.1086000e+00	   1.6546000e+00	   1.3998000e+00	   1.3869000e+00	   8.2354000e-01	   8.3595000e-01	  -1.4082000e-01	
-   7.2700000e+02	   8.5599000e-01	  -9.8779000e-01	  -8.8854000e-01	   1.3668000e+00	   1.0859000e+00	   1.0703000e+00	  -2.5509000e-01	   9.3588000e-01	  -1.6695000e-01	
-   7.2800000e+02	   8.7648000e-01	  -9.5946000e-01	   1.1147000e+00	   1.7005000e+00	   1.3734000e+00	   1.3583000e+00	   5.6173000e-01	   8.2480000e-01	   7.6306000e-03	
-   7.2900000e+02	   8.7144000e-01	   9.4709000e-01	   1.1187000e+00	   2.0116000e+00	   1.4090000e+00	   1.3931000e+00	   9.8541000e-01	   1.0745000e+00	   3.1012000e-01	
-   7.3000000e+02	   8.7187000e-01	  -9.5736000e-01	  -8.7872000e-01	   1.8077000e+00	   1.4845000e+00	   1.4682000e+00	   2.1346000e-01	   1.2253000e+00	   3.7563000e-01	
-   7.3100000e+02	   8.7520000e-01	   9.1928000e-01	   1.1074000e+00	   1.8966000e+00	   1.5736000e+00	   1.5576000e+00	   1.0373000e+00	   1.3760000e+00	   6.2309000e-01	
-   7.3200000e+02	  -1.1355000e+00	  -1.0034000e+00	  -8.6323000e-01	   2.1376000e+00	   1.8500000e+00	   1.8351000e+00	   4.1442000e-01	   1.5265000e+00	   4.6921000e-01	
-   7.3300000e+02	   8.4421000e-01	  -9.8103000e-01	   1.1081000e+00	   2.2853000e+00	   1.9536000e+00	   1.9387000e+00	   1.1677000e+00	   1.7890000e+00	   6.2464000e-01	
-   7.3400000e+02	  -1.1316000e+00	  -9.5498000e-01	   1.1237000e+00	   2.5265000e+00	   2.2303000e+00	   2.2165000e+00	   1.8728000e+00	   2.0884000e+00	   9.2562000e-01	
-   7.3500000e+02	  -1.1475000e+00	  -9.4858000e-01	   1.1295000e+00	   3.1071000e+00	   2.3729000e+00	   2.3605000e+00	   2.2531000e+00	   2.3625000e+00	   1.4079000e+00	
-   7.3600000e+02	   8.4266000e-01	  -9.6302000e-01	   1.1084000e+00	   2.9962000e+00	   2.6616000e+00	   2.6513000e+00	   2.2452000e+00	   2.6850000e+00	   1.7608000e+00	
-   7.3700000e+02	   8.4030000e-01	  -9.6688000e-01	   1.1040000e+00	   3.1881000e+00	   2.5361000e+00	   2.5253000e+00	   2.4701000e+00	   2.7701000e+00	   1.9108000e+00	
-   7.3800000e+02	  -1.1537000e+00	  -9.7875000e-01	  -8.9038000e-01	   3.1203000e+00	   3.0627000e+00	   3.0554000e+00	   1.4812000e+00	   2.8535000e+00	   1.8214000e+00	
-   7.3900000e+02	  -1.1729000e+00	  -1.0079000e+00	  -8.9087000e-01	   3.0514000e+00	   3.0005000e+00	   2.9937000e+00	   1.2288000e+00	   2.7738000e+00	   1.6745000e+00	
-   7.4000000e+02	  -1.1804000e+00	  -1.0076000e+00	  -9.0581000e-01	   3.2511000e+00	   2.8834000e+00	   2.8773000e+00	   9.1282000e-01	   2.7663000e+00	   1.5254000e+00	
-   7.4100000e+02	  -1.1754000e+00	  -1.0150000e+00	  -9.0494000e-01	   2.8991000e+00	   2.6186000e+00	   2.6119000e+00	   6.6760000e-01	   2.3720000e+00	   1.6834000e+00	
-   7.4200000e+02	   8.2951000e-01	  -1.0009000e+00	   1.0691000e+00	   3.0267000e+00	   2.9125000e+00	   2.9096000e+00	   1.6013000e+00	   2.4361000e+00	   1.5121000e+00	
-   7.4300000e+02	   8.3673000e-01	   9.1160000e-01	   1.0817000e+00	   3.0009000e+00	   2.5522000e+00	   2.5483000e+00	   2.0386000e+00	   2.7098000e+00	   1.9578000e+00	
-   7.4400000e+02	  -1.1437000e+00	  -9.9223000e-01	   1.0767000e+00	   3.6061000e+00	   3.1901000e+00	   3.1923000e+00	   2.5518000e+00	   2.9072000e+00	   2.2185000e+00	
-   7.4500000e+02	  -1.1426000e+00	   9.4034000e-01	   1.1033000e+00	   3.5529000e+00	   3.1870000e+00	   3.1898000e+00	   2.7309000e+00	   3.0397000e+00	   2.3663000e+00	
-   7.4600000e+02	   8.2319000e-01	   9.5448000e-01	   1.0575000e+00	   3.5326000e+00	   3.1681000e+00	   3.1721000e+00	   2.5675000e+00	   3.1692000e+00	   2.2186000e+00	
-   7.4700000e+02	  -1.1526000e+00	  -9.6551000e-01	  -9.2945000e-01	   2.9596000e+00	   2.7340000e+00	   2.7348000e+00	   1.2916000e+00	   2.6746000e+00	   1.8670000e+00	
-   7.4800000e+02	  -1.1570000e+00	   9.7559000e-01	  -9.3783000e-01	   2.3382000e+00	   2.2580000e+00	   2.2562000e+00	   5.0910000e-01	   2.1402000e+00	   1.2020000e+00	
-   7.4900000e+02	   8.2761000e-01	   9.7982000e-01	  -9.5145000e-01	   1.9974000e+00	   1.9810000e+00	   1.9775000e+00	  -3.7806000e-02	   1.4552000e+00	   6.8138000e-01	
-   7.5000000e+02	   8.3055000e-01	  -9.4756000e-01	  -9.5899000e-01	   1.5055000e+00	   1.4778000e+00	   1.4707000e+00	  -4.8915000e-01	   1.0313000e+00	   6.8917000e-02	
-   7.5100000e+02	  -1.1356000e+00	  -9.4281000e-01	  -9.5479000e-01	   1.2022000e+00	   1.1753000e+00	   1.1662000e+00	  -6.6344000e-01	   6.6987000e-01	  -2.7021000e-01	
-   7.5200000e+02	  -1.1411000e+00	   9.9709000e-01	  -9.5021000e-01	   1.1358000e+00	   1.1267000e+00	   1.1187000e+00	  -9.7688000e-01	   5.4576000e-01	  -5.7184000e-01	
-   7.5300000e+02	  -1.1359000e+00	  -9.4858000e-01	  -9.5280000e-01	   1.0235000e+00	   8.6692000e-01	   8.5709000e-01	  -1.0514000e+00	   1.3739000e-01	  -6.8993000e-01	
-   7.5400000e+02	   8.5851000e-01	   9.8822000e-01	   1.0365000e+00	   1.3348000e+00	   1.0479000e+00	   1.0396000e+00	  -1.6433000e-01	   1.9047000e-01	  -6.2391000e-01	
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-   7.5600000e+02	   8.7317000e-01	   1.0031000e+00	   1.0378000e+00	   1.4718000e+00	   7.0788000e-01	   6.9664000e-01	   3.3691000e-01	   4.3762000e-01	  -3.7900000e-01	
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-   7.6200000e+02	   8.8826000e-01	   1.0296000e+00	  -9.7659000e-01	   8.4969000e-01	   4.3257000e-01	   4.1730000e-01	  -8.5705000e-01	  -1.2216000e-01	  -1.0408000e+00	
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-   8.2300000e+02	   9.5302000e-01	  -9.8013000e-01	   9.7601000e-01	  -1.8523000e+00	  -1.7865000e+00	  -1.7801000e+00	  -4.9852000e-01	  -1.5546000e+00	  -5.7202000e-01	
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-   9.2000000e+02	  -9.8497000e-01	  -9.7410000e-01	   1.0145000e+00	   3.0553000e+00	   2.7113000e+00	   2.7184000e+00	   2.2144000e+00	   2.4926000e+00	   1.5826000e+00	
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-   1.0620000e+03	  -1.0866000e+00	   9.6314000e-01	   9.8491000e-01	   5.5521000e-01	   2.9375000e-01	   2.6553000e-01	   2.6384000e-01	  -2.7590000e-01	  -9.1502000e-01	
-   1.0630000e+03	   9.1014000e-01	   9.7236000e-01	  -1.0132000e+00	   2.1733000e-01	   3.4732000e-01	   3.1952000e-01	  -7.8351000e-01	   3.6293000e-02	  -6.2045000e-01	
-   1.0640000e+03	  -1.0865000e+00	   9.7586000e-01	   9.9465000e-01	   6.8831000e-01	   6.8010000e-01	   6.5565000e-01	   3.3853000e-01	   1.6179000e-01	  -4.3546000e-01	
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-   1.0660000e+03	   9.2690000e-01	  -1.0274000e+00	   9.8755000e-01	   9.3557000e-02	   5.2553000e-02	   2.4073000e-02	  -6.7530000e-02	  -2.1009000e-01	  -9.0683000e-01	
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-   1.0680000e+03	   9.2421000e-01	   9.8506000e-01	  -1.0002000e+00	   2.1489000e-01	   2.6573000e-01	   2.3882000e-01	  -9.2422000e-01	  -3.5839000e-01	  -1.1604000e+00	
-   1.0690000e+03	   9.1609000e-01	   9.9218000e-01	  -1.0008000e+00	  -1.6298000e-02	   9.3651000e-02	   6.5938000e-02	  -1.4230000e+00	  -5.6879000e-01	  -1.4328000e+00	
-   1.0700000e+03	   9.1580000e-01	   9.7382000e-01	   9.7947000e-01	   3.6283000e-01	   3.0873000e-01	   2.8227000e-01	  -3.7879000e-01	  -5.0502000e-01	  -1.3583000e+00	
-   1.0710000e+03	   9.3005000e-01	   9.6492000e-01	   9.7955000e-01	   5.2055000e-01	   2.3158000e-01	   2.0438000e-01	  -2.6200000e-02	  -3.6558000e-01	  -1.3016000e+00	
-   1.0720000e+03	  -1.1008000e+00	  -1.0335000e+00	   1.0153000e+00	   4.0923000e-01	   2.2025000e-02	  -6.9561000e-03	   4.5936000e-01	  -1.3774000e-01	  -1.0260000e+00	
-   1.0730000e+03	   9.0992000e-01	  -1.0366000e+00	  -9.7103000e-01	   2.8668000e-01	   1.7219000e-01	   1.4478000e-01	  -8.4062000e-01	  -3.4425000e-01	  -1.2782000e+00	
-   1.0740000e+03	   9.0651000e-01	  -1.0404000e+00	   9.9981000e-01	   7.0366000e-01	   3.6372000e-01	   3.3816000e-01	  -3.3298000e-02	  -3.2694000e-01	  -1.2201000e+00	
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-   1.0920000e+03	   9.6848000e-01	   9.4142000e-01	  -9.9174000e-01	   8.0377000e-01	   5.0748000e-01	   4.9023000e-01	  -1.2360000e+00	  -4.8949000e-01	  -1.4203000e+00	
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-   1.0950000e+03	   9.6989000e-01	   9.4200000e-01	  -1.0109000e+00	   1.1920000e+00	   1.0460000e+00	   1.0349000e+00	  -5.8480000e-01	   4.6391000e-01	  -4.1195000e-01	
-   1.0960000e+03	   9.4863000e-01	  -1.0423000e+00	  -1.0191000e+00	   1.0152000e+00	   1.0187000e+00	   1.0082000e+00	  -9.7919000e-01	   2.4951000e-01	  -7.6985000e-01	
-   1.0970000e+03	   9.5606000e-01	   9.3895000e-01	   9.8556000e-01	   1.3533000e+00	   1.1503000e+00	   1.1429000e+00	   1.0571000e-02	   2.4580000e-01	  -6.1764000e-01	
-   1.0980000e+03	  -1.0608000e+00	  -1.0092000e+00	  -9.8174000e-01	   1.2222000e+00	   1.1478000e+00	   1.1417000e+00	  -5.7971000e-01	   4.2793000e-01	  -5.2104000e-01	
-   1.0990000e+03	  -1.0791000e+00	  -1.0211000e+00	  -9.7796000e-01	   9.7272000e-01	   1.0781000e+00	   1.0728000e+00	  -8.4738000e-01	   2.9893000e-01	  -6.6204000e-01	
-   1.1000000e+03	   9.4716000e-01	   9.6334000e-01	   9.9897000e-01	   1.3089000e+00	   1.1275000e+00	   1.1240000e+00	   1.5093000e-01	   5.0508000e-01	  -3.1115000e-01	
-   1.1010000e+03	   9.5071000e-01	  -1.0351000e+00	   9.8978000e-01	   1.5978000e+00	   1.3893000e+00	   1.3885000e+00	   6.8461000e-01	   7.9712000e-01	   7.5600000e-02	
-   1.1020000e+03	  -1.0575000e+00	  -1.0239000e+00	   1.0066000e+00	   1.6969000e+00	   1.5028000e+00	   1.5036000e+00	   1.2947000e+00	   1.1001000e+00	   4.9748000e-01	
-   1.1030000e+03	   9.3022000e-01	   1.0141000e+00	   9.7361000e-01	   1.5125000e+00	   1.4548000e+00	   1.4558000e+00	   1.3980000e+00	   1.4129000e+00	   7.8971000e-01	
-   1.1040000e+03	   9.4218000e-01	   1.0193000e+00	  -9.7944000e-01	   1.6070000e+00	   1.7906000e+00	   1.7950000e+00	   3.5836000e-01	   1.3626000e+00	   8.0586000e-01	
-   1.1050000e+03	  -1.0778000e+00	   1.0356000e+00	  -9.8980000e-01	   1.3245000e+00	   1.5114000e+00	   1.5138000e+00	  -3.1036000e-02	   1.1108000e+00	   6.5458000e-01	
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-   1.1070000e+03	   9.4016000e-01	  -9.6481000e-01	  -9.7969000e-01	   8.4919000e-01	   1.1869000e+00	   1.1867000e+00	  -1.9090000e-01	   7.9856000e-01	   3.4469000e-01	
-   1.1080000e+03	   9.5354000e-01	   1.0581000e+00	  -9.7455000e-01	   5.6329000e-01	   1.0223000e+00	   1.0207000e+00	  -6.6092000e-01	   3.9159000e-01	   4.1395000e-02	
-   1.1090000e+03	   9.3486000e-01	   1.0578000e+00	  -9.8025000e-01	   4.0679000e-01	   6.4405000e-01	   6.3985000e-01	  -8.7047000e-01	   2.8215000e-01	   2.9026000e-02	
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-   1.1110000e+03	  -1.0824000e+00	   1.0755000e+00	   1.0513000e+00	   8.5384000e-01	   8.1807000e-01	   8.1489000e-01	   9.6900000e-01	   5.8350000e-01	   3.6699000e-01	
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-   1.1160000e+03	  -1.1221000e+00	   1.0425000e+00	   1.0209000e+00	   3.7884000e-02	   6.6173000e-02	   5.6353000e-02	   9.3532000e-01	  -5.4749000e-02	   1.4044000e-01	
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-   1.1190000e+03	   8.8490000e-01	  -1.0015000e+00	   1.0050000e+00	  -8.9306000e-01	  -1.0021000e+00	  -1.0207000e+00	   3.2185000e-01	  -9.6632000e-01	  -4.7565000e-01	
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-   1.1210000e+03	  -1.1055000e+00	  -1.0077000e+00	   1.0004000e+00	  -7.3459000e-01	  -1.0954000e+00	  -1.1156000e+00	   2.9071000e-01	  -1.1251000e+00	  -7.0627000e-01	
-   1.1220000e+03	   8.9142000e-01	   1.0185000e+00	   9.7479000e-01	  -5.2561000e-01	  -8.8752000e-01	  -9.0613000e-01	   5.1454000e-01	  -6.8690000e-01	  -1.5520000e-01	
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-   1.1250000e+03	  -1.0949000e+00	  -1.0229000e+00	   9.9822000e-01	  -5.5541000e-01	  -8.7366000e-01	  -8.9184000e-01	   4.8314000e-01	  -7.0039000e-01	  -6.8136000e-02	
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-   1.1290000e+03	  -1.0867000e+00	  -1.0235000e+00	  -1.0188000e+00	  -1.1628000e+00	  -1.3407000e+00	  -1.3648000e+00	  -6.8922000e-01	  -7.3132000e-01	  -1.2137000e-01	
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-   1.1310000e+03	  -1.0969000e+00	   1.0246000e+00	  -1.0315000e+00	  -1.4709000e+00	  -1.3483000e+00	  -1.3726000e+00	  -1.3317000e+00	  -1.0317000e+00	  -3.4630000e-01	
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-   1.1330000e+03	  -1.0935000e+00	  -1.0302000e+00	  -1.0293000e+00	  -2.1617000e+00	  -2.0741000e+00	  -2.1020000e+00	  -1.6451000e+00	  -1.4663000e+00	  -6.5928000e-01	
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-   1.1920000e+03	   1.0013000e+00	  -9.7874000e-01	  -1.0222000e+00	   1.6067000e-01	   4.5754000e-01	   5.0512000e-01	  -6.1295000e-02	   7.0943000e-01	   7.0814000e-01	
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-   1.1940000e+03	  -9.9246000e-01	  -9.7823000e-01	   9.8368000e-01	   5.7646000e-01	   5.7466000e-01	   6.2432000e-01	   8.1194000e-01	   5.2555000e-01	   5.1254000e-01	
-   1.1950000e+03	   9.9498000e-01	  -9.7997000e-01	   9.5356000e-01	   6.4971000e-01	   7.4007000e-01	   7.9128000e-01	   1.1074000e+00	   9.1225000e-01	   8.8930000e-01	
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-   1.2030000e+03	  -9.9773000e-01	  -9.6402000e-01	   9.4484000e-01	   4.9933000e-01	   5.6629000e-01	   6.1996000e-01	   1.2896000e+00	   9.9904000e-01	   1.0338000e+00	
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-   1.2090000e+03	   9.9448000e-01	  -9.6852000e-01	  -1.0821000e+00	  -7.6381000e-02	   3.0209000e-01	   3.5089000e-01	  -6.2895000e-01	   1.5108000e-01	   2.3047000e-01	
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-   1.2460000e+03	  -9.4856000e-01	  -1.0916000e+00	   9.8765000e-01	   5.8549000e-01	   4.2752000e-01	   4.2878000e-01	   5.8131000e-01	   1.4180000e-01	  -3.1588000e-01	
-   1.2470000e+03	   1.0657000e+00	  -1.0834000e+00	   9.6103000e-01	   6.5925000e-01	   5.3966000e-01	   5.3706000e-01	   5.2586000e-01	   3.6857000e-01	  -9.1109000e-02	
--- a/extra/control-devel/devel/heating_system.dat	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,801 +0,0 @@
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- 584.00   4.000  103.456
- 586.00   4.000  103.212
- 588.00   4.000  102.968
- 590.00   4.000  102.480
- 592.00   4.000  102.236
- 594.00   4.000  101.748
- 596.00   4.000  101.504
- 598.00   4.000  101.260
- 600.00   4.000  101.260
- 602.00   4.000  101.016
- 604.00   4.000  100.772
- 606.00   4.000  100.528
- 608.00   4.000  100.528
- 610.00   4.000  100.284
- 612.00   4.000  99.796
- 614.00   4.000  99.308
- 616.00   4.000  99.308
- 618.00   4.000  99.308
- 620.00   4.000  99.064
- 622.00   4.000  98.820
- 624.00   4.000  98.576
- 626.00   4.000  98.576
- 628.00   4.000  98.088
- 630.00   4.000  97.844
- 632.00   4.000  97.600
- 634.00   4.000  97.112
- 636.00   4.000  96.868
- 638.00   4.000  96.624
- 640.00   4.000  96.868
- 642.00   4.000  96.624
- 644.00   4.000  96.624
- 646.00   4.000  96.380
- 648.00   4.000  95.892
- 650.00   4.000  95.892
- 652.00   4.000  95.892
- 654.00   4.000  95.404
- 656.00   4.000  95.648
- 658.00   4.000  95.404
- 660.00   4.000  95.160
- 662.00   4.000  94.916
- 664.00   4.000  94.672
- 666.00   4.000  94.672
- 668.00   4.000  94.428
- 670.00   4.000  94.428
- 672.00   4.000  94.184
- 674.00   4.000  93.940
- 676.00   4.000  93.696
- 678.00   4.000  93.696
- 680.00   4.000  93.696
- 682.00   4.000  93.208
- 684.00   4.000  92.964
- 686.00   4.000  92.720
- 688.00   4.000  92.720
- 690.00   4.000  92.476
- 692.00   4.000  92.476
- 694.00   4.000  92.476
- 696.00   4.000  92.476
- 698.00   4.000  92.476
- 700.00   4.000  92.476
- 702.00   4.000  91.988
- 704.00   4.000  91.988
- 706.00   4.000  91.744
- 708.00   4.000  91.744
- 710.00   4.000  91.500
- 712.00   4.000  91.012
- 714.00   4.000  91.012
- 716.00   4.000  90.768
- 718.00   4.000  90.768
- 720.00   4.000  90.768
- 722.00   4.000  90.768
- 724.00   4.000  91.012
- 726.00   4.000  90.768
- 728.00   4.000  90.524
- 730.00   4.000  90.280
- 732.00   4.000  90.280
- 734.00   4.000  90.036
- 736.00   4.000  89.792
- 738.00   4.000  89.548
- 740.00   4.000  89.548
- 742.00   4.000  89.548
- 744.00   4.000  89.304
- 746.00   4.000  89.304
- 748.00   4.000  89.060
- 750.00   4.000  89.060
- 752.00   4.000  88.816
- 754.00   4.000  88.572
- 756.00   4.000  88.572
- 758.00   4.000  88.816
- 760.00   4.000  88.572
- 762.00   4.000  88.328
- 764.00   4.000  88.084
- 766.00   4.000  87.840
- 768.00   4.000  87.352
- 770.00   4.000  87.596
- 772.00   4.000  87.352
- 774.00   4.000  87.352
- 776.00   4.000  87.352
- 778.00   4.000  87.108
- 780.00   4.000  87.108
- 782.00   4.000  87.108
- 784.00   4.000  87.108
- 786.00   4.000  86.864
- 788.00   4.000  87.108
- 790.00   4.000  86.864
- 792.00   4.000  86.620
- 794.00   4.000  86.620
- 796.00   4.000  86.620
- 798.00   4.000  86.376
- 800.00   8.000  86.132
- 802.00   8.000  85.888
- 804.00   8.000  86.864
- 806.00   8.000  89.548
- 808.00   8.000  93.208
- 810.00   8.000  97.356
- 812.00   8.000  101.504
- 814.00   8.000  105.164
- 816.00   8.000  108.824
- 818.00   8.000  111.996
- 820.00   8.000  114.924
- 822.00   8.000  117.364
- 824.00   8.000  119.316
- 826.00   8.000  121.512
- 828.00   8.000  123.464
- 830.00   8.000  124.928
- 832.00   8.000  126.636
- 834.00   8.000  128.100
- 836.00   8.000  129.564
- 838.00   8.000  130.784
- 840.00   8.000  132.004
- 842.00   8.000  133.224
- 844.00   8.000  134.200
- 846.00   8.000  135.176
- 848.00   8.000  136.152
- 850.00   8.000  136.884
- 852.00   8.000  138.104
- 854.00   8.000  138.836
- 856.00   8.000  139.324
- 858.00   8.000  140.300
- 860.00   8.000  141.276
- 862.00   8.000  141.764
- 864.00   8.000  142.008
- 866.00   8.000  142.740
- 868.00   8.000  143.960
- 870.00   8.000  144.448
- 872.00   8.000  145.180
- 874.00   8.000  145.912
- 876.00   8.000  146.644
- 878.00   8.000  147.376
- 880.00   8.000  147.620
- 882.00   8.000  148.352
- 884.00   8.000  148.840
- 886.00   8.000  149.084
- 888.00   8.000  149.572
- 890.00   8.000  150.060
- 892.00   8.000  150.304
- 894.00   8.000  150.548
- 896.00   8.000  151.036
- 898.00   8.000  151.524
- 900.00   8.000  152.500
- 902.00   8.000  152.988
- 904.00   8.000  153.232
- 906.00   8.000  153.720
- 908.00   8.000  154.208
- 910.00   8.000  154.696
- 912.00   8.000  155.184
- 914.00   8.000  155.672
- 916.00   8.000  155.672
- 918.00   8.000  155.672
- 920.00   8.000  155.916
- 922.00   8.000  156.160
- 924.00   8.000  156.404
- 926.00   8.000  156.404
- 928.00   8.000  156.892
- 930.00   8.000  157.380
- 932.00   8.000  157.624
- 934.00   8.000  158.112
- 936.00   8.000  158.600
- 938.00   8.000  158.600
- 940.00   8.000  159.088
- 942.00   8.000  159.576
- 944.00   8.000  159.332
- 946.00   8.000  159.332
- 948.00   8.000  159.576
- 950.00   8.000  159.820
- 952.00   8.000  159.820
- 954.00   8.000  159.820
- 956.00   8.000  160.064
- 958.00   8.000  160.308
- 960.00   8.000  160.552
- 962.00   8.000  160.796
- 964.00   8.000  160.796
- 966.00   8.000  160.796
- 968.00   8.000  161.040
- 970.00   8.000  161.528
- 972.00   8.000  161.772
- 974.00   8.000  161.772
- 976.00   8.000  162.016
- 978.00   8.000  162.504
- 980.00   8.000  162.504
- 982.00   8.000  162.748
- 984.00   8.000  162.748
- 986.00   8.000  162.748
- 988.00   8.000  162.992
- 990.00   8.000  163.236
- 992.00   8.000  163.236
- 994.00   8.000  162.992
- 996.00   8.000  163.236
- 998.00   8.000  163.480
- 1000.00   3.000  163.724
- 1002.00   3.000  163.968
- 1004.00   3.000  162.992
- 1006.00   3.000  160.308
- 1008.00   3.000  155.916
- 1010.00   3.000  151.280
- 1012.00   3.000  146.644
- 1014.00   3.000  142.740
- 1016.00   3.000  139.080
- 1018.00   3.000  136.152
- 1020.00   3.000  133.224
- 1022.00   3.000  130.784
- 1024.00   3.000  128.588
- 1026.00   3.000  126.636
- 1028.00   3.000  125.172
- 1030.00   3.000  123.220
- 1032.00   3.000  121.756
- 1034.00   3.000  120.292
- 1036.00   3.000  118.828
- 1038.00   3.000  117.364
- 1040.00   3.000  115.900
- 1042.00   3.000  114.680
- 1044.00   3.000  113.460
- 1046.00   3.000  112.240
- 1048.00   3.000  111.264
- 1050.00   3.000  110.288
- 1052.00   3.000  109.068
- 1054.00   3.000  107.604
- 1056.00   3.000  106.628
- 1058.00   3.000  105.652
- 1060.00   3.000  104.676
- 1062.00   3.000  103.944
- 1064.00   3.000  102.968
- 1066.00   3.000  102.236
- 1068.00   3.000  101.504
- 1070.00   3.000  100.284
- 1072.00   3.000  99.796
- 1074.00   3.000  99.308
- 1076.00   3.000  98.332
- 1078.00   3.000  97.844
- 1080.00   3.000  97.356
- 1082.00   3.000  96.868
- 1084.00   3.000  96.380
- 1086.00   3.000  95.892
- 1088.00   3.000  95.160
- 1090.00   3.000  94.672
- 1092.00   3.000  94.184
- 1094.00   3.000  93.696
- 1096.00   3.000  93.208
- 1098.00   3.000  92.964
- 1100.00   3.000  92.476
- 1102.00   3.000  91.988
- 1104.00   3.000  91.256
- 1106.00   3.000  90.768
- 1108.00   3.000  90.280
- 1110.00   3.000  89.792
- 1112.00   3.000  89.548
- 1114.00   3.000  89.060
- 1116.00   3.000  88.084
- 1118.00   3.000  87.596
- 1120.00   3.000  87.352
- 1122.00   3.000  87.108
- 1124.00   3.000  86.864
- 1126.00   3.000  86.864
- 1128.00   3.000  86.376
- 1130.00   3.000  85.888
- 1132.00   3.000  85.888
- 1134.00   3.000  85.644
- 1136.00   3.000  84.912
- 1138.00   3.000  84.180
- 1140.00   3.000  84.180
- 1142.00   3.000  83.936
- 1144.00   3.000  83.692
- 1146.00   3.000  83.448
- 1148.00   3.000  83.204
- 1150.00   3.000  82.716
- 1152.00   3.000  82.228
- 1154.00   3.000  81.984
- 1156.00   3.000  81.984
- 1158.00   3.000  81.740
- 1160.00   3.000  81.740
- 1162.00   3.000  81.496
- 1164.00   3.000  81.008
- 1166.00   3.000  80.764
- 1168.00   3.000  80.276
- 1170.00   3.000  80.032
- 1172.00   3.000  79.788
- 1174.00   3.000  79.544
- 1176.00   3.000  79.300
- 1178.00   3.000  79.056
- 1180.00   3.000  78.568
- 1182.00   3.000  78.568
- 1184.00   3.000  78.324
- 1186.00   3.000  78.324
- 1188.00   3.000  78.080
- 1190.00   3.000  77.836
- 1192.00   3.000  77.836
- 1194.00   3.000  77.592
- 1196.00   3.000  77.104
- 1198.00   3.000  76.860
- 1200.00   7.000  76.372
- 1202.00   7.000  76.372
- 1204.00   7.000  77.104
- 1206.00   7.000  79.300
- 1208.00   7.000  82.472
- 1210.00   7.000  85.888
- 1212.00   7.000  89.060
- 1214.00   7.000  92.232
- 1216.00   7.000  95.160
- 1218.00   7.000  97.600
- 1220.00   7.000  99.552
- 1222.00   7.000  101.260
- 1224.00   7.000  103.212
- 1226.00   7.000  105.164
- 1228.00   7.000  106.628
- 1230.00   7.000  107.604
- 1232.00   7.000  108.580
- 1234.00   7.000  109.800
- 1236.00   7.000  110.776
- 1238.00   7.000  111.996
- 1240.00   7.000  112.972
- 1242.00   7.000  113.948
- 1244.00   7.000  114.680
- 1246.00   7.000  115.656
- 1248.00   7.000  116.144
- 1250.00   7.000  117.120
- 1252.00   7.000  117.608
- 1254.00   7.000  118.340
- 1256.00   7.000  118.828
- 1258.00   7.000  119.804
- 1260.00   7.000  120.292
- 1262.00   7.000  121.024
- 1264.00   7.000  121.512
- 1266.00   7.000  122.000
- 1268.00   7.000  122.244
- 1270.00   7.000  122.976
- 1272.00   7.000  123.464
- 1274.00   7.000  123.952
- 1276.00   7.000  124.440
- 1278.00   7.000  124.928
- 1280.00   7.000  125.660
- 1282.00   7.000  125.904
- 1284.00   7.000  126.148
- 1286.00   7.000  126.636
- 1288.00   7.000  126.636
- 1290.00   7.000  127.124
- 1292.00   7.000  127.368
- 1294.00   7.000  127.368
- 1296.00   7.000  127.368
- 1298.00   7.000  127.368
- 1300.00   7.000  127.856
- 1302.00   7.000  128.344
- 1304.00   7.000  128.588
- 1306.00   7.000  129.076
- 1308.00   7.000  129.320
- 1310.00   7.000  129.564
- 1312.00   7.000  130.052
- 1314.00   7.000  130.296
- 1316.00   7.000  130.296
- 1318.00   7.000  130.540
- 1320.00   7.000  130.784
- 1322.00   7.000  131.272
- 1324.00   7.000  131.516
- 1326.00   7.000  131.760
- 1328.00   7.000  131.760
- 1330.00   7.000  132.004
- 1332.00   7.000  132.004
- 1334.00   7.000  132.492
- 1336.00   7.000  132.492
- 1338.00   7.000  132.492
- 1340.00   7.000  132.248
- 1342.00   7.000  132.492
- 1344.00   7.000  132.980
- 1346.00   7.000  132.980
- 1348.00   7.000  132.980
- 1350.00   7.000  133.468
- 1352.00   7.000  133.956
- 1354.00   7.000  133.956
- 1356.00   7.000  133.956
- 1358.00   7.000  133.956
- 1360.00   7.000  134.200
- 1362.00   7.000  134.444
- 1364.00   7.000  134.932
- 1366.00   7.000  135.176
- 1368.00   7.000  135.176
- 1370.00   7.000  135.176
- 1372.00   7.000  135.176
- 1374.00   7.000  135.420
- 1376.00   7.000  135.664
- 1378.00   7.000  135.908
- 1380.00   7.000  136.396
- 1382.00   7.000  136.396
- 1384.00   7.000  136.396
- 1386.00   7.000  136.640
- 1388.00   7.000  136.396
- 1390.00   7.000  136.884
- 1392.00   7.000  136.640
- 1394.00   7.000  136.884
- 1396.00   7.000  136.640
- 1398.00   7.000  136.640
- 1400.00   6.000  136.884
- 1402.00   6.000  136.884
- 1404.00   6.000  136.884
- 1406.00   6.000  136.396
- 1408.00   6.000  135.664
- 1410.00   6.000  134.932
- 1412.00   6.000  133.956
- 1414.00   6.000  132.980
- 1416.00   6.000  132.248
- 1418.00   6.000  131.760
- 1420.00   6.000  131.028
- 1422.00   6.000  130.784
- 1424.00   6.000  130.296
- 1426.00   6.000  130.052
- 1428.00   6.000  129.320
- 1430.00   6.000  128.588
- 1432.00   6.000  128.100
- 1434.00   6.000  127.612
- 1436.00   6.000  127.368
- 1438.00   6.000  127.368
- 1440.00   6.000  127.368
- 1442.00   6.000  127.368
- 1444.00   6.000  127.124
- 1446.00   6.000  127.124
- 1448.00   6.000  126.636
- 1450.00   6.000  126.636
- 1452.00   6.000  126.392
- 1454.00   6.000  126.148
- 1456.00   6.000  126.148
- 1458.00   6.000  126.148
- 1460.00   6.000  125.904
- 1462.00   6.000  125.904
- 1464.00   6.000  125.416
- 1466.00   6.000  125.172
- 1468.00   6.000  124.928
- 1470.00   6.000  124.928
- 1472.00   6.000  124.928
- 1474.00   6.000  125.172
- 1476.00   6.000  125.660
- 1478.00   6.000  126.148
- 1480.00   6.000  126.636
- 1482.00   6.000  126.636
- 1484.00   6.000  126.636
- 1486.00   6.000  126.392
- 1488.00   6.000  126.636
- 1490.00   6.000  126.880
- 1492.00   6.000  126.636
- 1494.00   6.000  125.904
- 1496.00   6.000  125.416
- 1498.00   6.000  125.416
- 1500.00   6.000  126.148
- 1502.00   6.000  126.880
- 1504.00   6.000  126.880
- 1506.00   6.000  126.880
- 1508.00   6.000  126.880
- 1510.00   6.000  126.636
- 1512.00   6.000  126.392
- 1514.00   6.000  126.148
- 1516.00   6.000  125.904
- 1518.00   6.000  125.660
- 1520.00   6.000  125.416
- 1522.00   6.000  125.172
- 1524.00   6.000  124.928
- 1526.00   6.000  124.440
- 1528.00   6.000  123.952
- 1530.00   6.000  123.708
- 1532.00   6.000  123.220
- 1534.00   6.000  122.976
- 1536.00   6.000  122.244
- 1538.00   6.000  122.000
- 1540.00   6.000  122.488
- 1542.00   6.000  122.732
- 1544.00   6.000  122.732
- 1546.00   6.000  122.732
- 1548.00   6.000  122.732
- 1550.00   6.000  122.244
- 1552.00   6.000  122.244
- 1554.00   6.000  122.000
- 1556.00   6.000  121.756
- 1558.00   6.000  121.756
- 1560.00   6.000  121.756
- 1562.00   6.000  121.756
- 1564.00   6.000  121.756
- 1566.00   6.000  121.268
- 1568.00   6.000  121.268
- 1570.00   6.000  121.268
- 1572.00   6.000  121.024
- 1574.00   6.000  120.780
- 1576.00   6.000  120.780
- 1578.00   6.000  120.536
- 1580.00   6.000  120.780
- 1582.00   6.000  120.780
- 1584.00   6.000  121.024
- 1586.00   6.000  121.024
- 1588.00   6.000  121.268
- 1590.00   6.000  121.268
- 1592.00   6.000  120.780
- 1594.00   6.000  120.780
- 1596.00   6.000  120.536
- 1598.00   6.000  120.536
- 1600.00   6.000  120.536
--- a/extra/control-devel/devel/iddata_merge.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,14 +0,0 @@
-%u = iddata ({(1:10).', (21:30).'}, {(41:50).', (61:70).'});
-%v = iddata ({(11:20).', (31:40).'}, {(51:60).', (71:80).'});
-
-oy = ones (200, 5);
-ou = ones (200, 4);
-y = repmat ({oy}, 6, 1);
-u = repmat ({ou}, 6, 1);
-
-u = iddata (y, u)
-v = u
-
-a = [u, v]
-b = [u; v]
-c = merge (u, v)
\ No newline at end of file
--- a/extra/control-devel/devel/identVS.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,66 +0,0 @@
-function [sys, x0] = identVS (dat, s = [], nn = [])
-
-n=nn;
-
-  %nobr = 15;
-  meth = 3-1; %1-1;
-  alg = 1-1;
-  jobd = 2-1;
-  batch = 4-1;
-  conct = 2-1;
-  %ctrl = 0;
-  rcond = 0.0;
-  tol = -1.0;
-  
-  [ns, l, m, e] = size (dat);
-  
-  if (isempty (s) && isempty (n))
-    nsmp = ns(1);
-    nobr = fix ((nsmp+1)/(2*(m+l+1)));
-    ctrl = 0;  # confirm system order estimate
-    n = 0;
-    % nsmp >= 2*(m+l+1)*nobr - 1
-    % nobr <= (nsmp+1)/(2*(m+l+1))
-  elseif (isempty (s))
-    s = min (2*n, n+10);
-    nsmp = ns(1);
-    nobr = fix ((nsmp+1)/(2*(m+l+1)));
-    nobr = min (nobr, s);
-    ctrl = 1;  # no confirmation
-  elseif (isempty (n))
-    nobr = s;
-    ctrl = 0;  # confirm system order estimate
-    n = 0;
-  else         # s & n non-empty
-    nsmp = ns(1);
-    nobr = fix ((nsmp+1)/(2*(m+l+1)));
-    if (s > nobr)
-      error ("ident: s > nobr");
-    endif
-    nobr = s;
-    ctrl = 1;
-    ## TODO: specify n for IB01BD
-  endif
-
-nobr  
-  %nsmp = ns(1)
-  %nobr = fix ((nsmp+1)/(2*(m+l+1)))
-  % nsmp >= 2*(m+l+1)*nobr - 1
-  % nobr <= (nsmp+1)/(2*(m+l+1))
-%nobr = 10
-  [r, sv, n] = slident_a (dat.y{1}, dat.u{1}, nobr, n, meth, alg, jobd, batch, conct, ctrl, rcond, tol);
-
-%r
-sv
-
-n
-n = nn;
-  [a, b, c, d, q, ry, s, k] = slident_b (dat.y{1}, dat.u{1}, nobr, n, meth, alg, jobd, batch, conct, ctrl, rcond, tol, \
-                                         r, sv, n);
-
-  x0 = slident_c (dat.y{1}, dat.u{1}, nobr, n, meth, alg, jobd, batch, conct, ctrl, rcond, tol, \
-                    a, b, c, d);
-
-  sys = ss (a, b, c, d, -1);
-
-endfunction
--- a/extra/control-devel/devel/ident_combinations.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,51 +0,0 @@
-function [sys, x0] = ident_combinations (dat, s = [], n = [], meth, alg)
-
-
-
-  %nobr = 15;
-%  meth = 1; % 2    % geht: meth/alg  1/1, 
-%  alg = 2; % 0     % geht nicht: meth/alg  0/1
-  conct = 1;
-  ctrl = 0; %1;
-  rcond = 0.0;
-  tol = -1.0; % 0;
-  
-  [ns, l, m, e] = size (dat);
-  
-  if (isempty (s) && isempty (n))
-    nsmp = ns(1);
-    nobr = fix ((nsmp+1)/(2*(m+l+1)));
-    ctrl = 0;  # confirm system order estimate
-    n = 0;
-    % nsmp >= 2*(m+l+1)*nobr - 1
-    % nobr <= (nsmp+1)/(2*(m+l+1))
-  elseif (isempty (s))
-    s = min (2*n, n+10);
-    nsmp = ns(1);
-    nobr = fix ((nsmp+1)/(2*(m+l+1)));
-    nobr = min (nobr, s);
-    ctrl = 1;  # no confirmation
-  elseif (isempty (n))
-    nobr = s;
-    ctrl = 0;  # confirm system order estimate
-    n = 0;
-  else         # s & n non-empty
-    nsmp = ns(1);
-    nobr = fix ((nsmp+1)/(2*(m+l+1)));
-    if (s > nobr)
-      error ("ident: s > nobr");
-    endif
-    nobr = s;
-    ctrl = 1;
-    ## TODO: specify n for IB01BD
-  endif
-  
-  [a, b, c, d, q, ry, s, k, x0] = slident (dat.y, dat.u, nobr, n, meth, alg, conct, ctrl, rcond, tol);
-
-  sys = ss (a, b, c, d, dat.tsam{1});
-  
-  if (numel (x0) == 1)
-    x0 = x0{1};
-  endif
-
-endfunction
--- a/extra/control-devel/devel/makefile_devel.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,21 +0,0 @@
-## ==============================================================================
-## Developer Makefile for OCT-files
-## ==============================================================================
-## USAGE: * fetch control-devel from Octave-Forge by svn
-##        * add control-devel/inst, control-devel/src and control-devel/devel
-##          to your Octave path (by an .octaverc file)
-##        * run makefile_devel
-## ==============================================================================
-
-homedir = pwd ();
-develdir = fileparts (which ("makefile_devel"));
-srcdir = [develdir, "/../src"];
-cd (srcdir);
-
-## system ("make realclean");  # recompile slicotlibrary.a
-system ("make clean");
-system ("make -j1 all");
-system ("rm *.o");
-system ("rm *.d");
-
-cd (homedir);
\ No newline at end of file
--- a/extra/control-devel/devel/pH.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,68 +0,0 @@
-%{
-Contributed by:
-	Jairo Espinosa
-	K.U.Leuven ESAT-SISTA
-	K.Mercierlaan 94
-	B3001 Heverlee
-	Jairo.Espinosa@esat.kuleuven.ac.be
-
-Description:
-	Simulation data of a pH neutralization process in a constant volume
-	stirring tank. 
-	Volume of the tank 1100 liters 
-	Concentration of the acid solution (HAC) 0.0032 Mol/l
-	Concentration of the base solution (NaOH) 0,05 Mol/l
-Sampling:
-	10 sec
-Number:
-	2001
-Inputs:
-	u1: Acid solution flow in liters
-	u2: Base solution flow in liters
-
-Outputs:
-	y: pH of the solution in the tank
-
-References:
-	T.J. Mc Avoy, E.Hsu and S.Lowenthal, Dynamics of pH in controlled 
-	stirred tank reactor, Ind.Eng.Chem.Process Des.Develop.11(1972)
-	71-78
-
-Properties:
-	Highly non-linear system.
-
-Columns:
-	Column 1: time-steps
-	Column 2: input u1
-	Column 3: input u2
-	Column 4: output y
-
-Category:
-	Process industry systems
-
-%}
-
-clear all, close all, clc
-
-load pHdata.dat
-U=pHdata(:,2:3);
-Y=pHdata(:,4);
-
-
-dat = iddata (Y, U)
-
-[sys, x0] = moen4 (dat, 's', 15, 'n', 6, 'noise', 'k')     % s=15, n=6
-
-
-[y, t] = lsim (sys, [U, Y], [], x0);
-
-err = norm (Y - y, 1) / norm (Y, 1)
-st = isstable (sys)
-
-figure (1)
-plot (t, Y(:,1), 'b', t, y(:,1), 'r')
-ylim ([0, 15])
-title ('DaISy [96-014]: pH neutralization process in a stirring tank - highly non-linear')
-legend ('y measured', 'y simulated', 'location', 'southeast')
-
-
--- a/extra/control-devel/devel/pH2.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,74 +0,0 @@
-%{
-Contributed by:
-	Jairo Espinosa
-	K.U.Leuven ESAT-SISTA
-	K.Mercierlaan 94
-	B3001 Heverlee
-	Jairo.Espinosa@esat.kuleuven.ac.be
-
-Description:
-	Simulation data of a pH neutralization process in a constant volume
-	stirring tank. 
-	Volume of the tank 1100 liters 
-	Concentration of the acid solution (HAC) 0.0032 Mol/l
-	Concentration of the base solution (NaOH) 0,05 Mol/l
-Sampling:
-	10 sec
-Number:
-	2001
-Inputs:
-	u1: Acid solution flow in liters
-	u2: Base solution flow in liters
-
-Outputs:
-	y: pH of the solution in the tank
-
-References:
-	T.J. Mc Avoy, E.Hsu and S.Lowenthal, Dynamics of pH in controlled 
-	stirred tank reactor, Ind.Eng.Chem.Process Des.Develop.11(1972)
-	71-78
-
-Properties:
-	Highly non-linear system.
-
-Columns:
-	Column 1: time-steps
-	Column 2: input u1
-	Column 3: input u2
-	Column 4: output y
-
-Category:
-	Process industry systems
-
-%}
-
-clear all, close all, clc
-
-load pHdata.dat
-U=pHdata(:,2:3);
-Y=pHdata(:,4);
-
-
-dat = iddata (Y, U)
-
-[sys, x0, info] = moen4 (dat, 's', 15, 'n', 6)     % s=15, n=6
-
-l = lqe (sys, info.Q, 100*info.Ry)
-
-[a, b, c, d] = ssdata (sys);
-
-sys = ss ([a-l*c], [b-l*d, l], c, [d, 0], -1)
-
-
-[y, t] = lsim (sys, [U, Y], [], x0);
-
-err = norm (Y - y, 1) / norm (Y, 1)
-st = isstable (sys)
-
-figure (1)
-plot (t, Y(:,1), 'b', t, y(:,1), 'r')
-ylim ([0, 15])
-title ('DaISy [96-014]: pH neutralization process in a stirring tank - highly non-linear')
-legend ('y measured', 'y simulated', 'location', 'southeast')
-
-
--- a/extra/control-devel/devel/pHarx.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,69 +0,0 @@
-%{
-Contributed by:
-	Jairo Espinosa
-	K.U.Leuven ESAT-SISTA
-	K.Mercierlaan 94
-	B3001 Heverlee
-	Jairo.Espinosa@esat.kuleuven.ac.be
-
-Description:
-	Simulation data of a pH neutralization process in a constant volume
-	stirring tank. 
-	Volume of the tank 1100 liters 
-	Concentration of the acid solution (HAC) 0.0032 Mol/l
-	Concentration of the base solution (NaOH) 0,05 Mol/l
-Sampling:
-	10 sec
-Number:
-	2001
-Inputs:
-	u1: Acid solution flow in liters
-	u2: Base solution flow in liters
-
-Outputs:
-	y: pH of the solution in the tank
-
-References:
-	T.J. Mc Avoy, E.Hsu and S.Lowenthal, Dynamics of pH in controlled 
-	stirred tank reactor, Ind.Eng.Chem.Process Des.Develop.11(1972)
-	71-78
-
-Properties:
-	Highly non-linear system.
-
-Columns:
-	Column 1: time-steps
-	Column 2: input u1
-	Column 3: input u2
-	Column 4: output y
-
-Category:
-	Process industry systems
-
-%}
-
-clear all, close all, clc
-
-load pHdata.dat
-U=pHdata(:,2:3);
-Y=pHdata(:,4);
-
-
-dat = iddata (Y, U)
-
-% [sys, x0] = ident (dat, 15, 6)     % s=15, n=6
-% sys = arx (dat, 6)       % normally na = nb
-[sys, x0] = arx (dat, 6)       % normally na = nb
-
-
-% [y, t] = lsim (sys, U, [], x0);
-% [y, t] = lsim (sys(:, 1:2), U);
-[y, t] = lsim (sys, U, [], x0);
-
-err = norm (Y - y, 1) / norm (Y, 1)
-
-figure (1)
-plot (t, Y(:,1), 'b', t, y(:,1), 'r')
-
-
-
--- a/extra/control-devel/devel/pHdata.dat	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,2001 +0,0 @@
-   1.0000000e+00   8.8758367e+00   1.0000000e+00   6.9129087e+00
-   2.0000000e+00   1.1025642e+01   1.0000000e+00   1.0839350e+01
-   3.0000000e+00   9.4613547e+00   1.0000000e+00   1.0894930e+01
-   4.0000000e+00   1.1930201e+01   1.0000000e+00   1.0955416e+01
-   5.0000000e+00   1.0890642e+01   1.0000000e+00   1.0969890e+01
-   6.0000000e+00   1.1013423e+01   1.0000000e+00   1.0984813e+01
-   7.0000000e+00   1.0606074e+01   1.0000000e+00   1.0999915e+01
-   8.0000000e+00   1.0526539e+01   1.0000000e+00   1.1016242e+01
-   9.0000000e+00   1.1538829e+01   1.0000000e+00   1.1029860e+01
-   1.0000000e+01   9.0908399e+00   1.0000000e+00   1.1042747e+01
-   1.1000000e+01   1.1065979e+01   1.0000000e+00   1.1070374e+01
-   1.2000000e+01   9.9109271e+00   1.0000000e+00   1.1077190e+01
-   1.3000000e+01   9.0996274e+00   1.0000000e+00   1.1094999e+01
-   1.4000000e+01   9.4370599e+00   1.0000000e+00   1.1117991e+01
-   1.5000000e+01   8.6660288e+00   1.0000000e+00   1.1135708e+01
-   1.6000000e+01   9.9460695e+00   1.0000000e+00   1.1154470e+01
-   1.7000000e+01   1.1590625e+01   1.0000000e+00   1.1149743e+01
-   1.8000000e+01   1.1636832e+01   1.0000000e+00   1.1136811e+01
-   1.9000000e+01   8.2422573e+00   1.0000000e+00   1.1144831e+01
-   2.0000000e+01   1.0018092e+01   1.0000000e+00   1.1152625e+01
-   2.1000000e+01   1.0065168e+01   1.0000000e+00   1.1158187e+01
-   2.2000000e+01   9.2761318e+00   1.0000000e+00   1.1165849e+01
-   2.3000000e+01   1.1946568e+01   1.0000000e+00   1.1154987e+01
-   2.4000000e+01   9.0645780e+00   1.0000000e+00   1.1145798e+01
-   2.5000000e+01   8.3629316e+00   1.0000000e+00   1.1164855e+01
-   2.6000000e+01   1.1791057e+01   1.0000000e+00   1.1176835e+01
-   2.7000000e+01   1.0002828e+01   0.0000000e+00   1.1059178e+01
-   2.8000000e+01   9.1083272e+00   0.0000000e+00   1.0894936e+01
-   2.9000000e+01   1.1655270e+01   0.0000000e+00   1.0614993e+01
-   3.0000000e+01   1.0118990e+01   0.0000000e+00   9.8317104e+00
-   3.1000000e+01   9.8577833e+00   0.0000000e+00   6.0060516e+00
-   3.2000000e+01   1.1763920e+01   0.0000000e+00   5.6246623e+00
-   3.3000000e+01   8.2003359e+00   0.0000000e+00   5.4052386e+00
-   3.4000000e+01   1.1080818e+01   0.0000000e+00   5.2496791e+00
-   3.5000000e+01   1.1311269e+01   0.0000000e+00   5.1168385e+00
-   3.6000000e+01   8.5014615e+00   0.0000000e+00   5.0215846e+00
-   3.7000000e+01   1.0753821e+01   0.0000000e+00   4.9428188e+00
-   3.8000000e+01   1.1472989e+01   0.0000000e+00   4.8527575e+00
-   3.9000000e+01   1.0944898e+01   0.0000000e+00   4.7739873e+00
-   4.0000000e+01   1.0901648e+01   0.0000000e+00   4.7034443e+00
-   4.1000000e+01   1.1997832e+01   0.0000000e+00   4.6344089e+00
-   4.2000000e+01   8.9327795e+00   0.0000000e+00   4.5666470e+00
-   4.3000000e+01   1.0000000e+01   0.0000000e+00   4.5131990e+00
-   4.4000000e+01   1.0000000e+01   0.0000000e+00   4.4607910e+00
-   4.5000000e+01   1.0000000e+01   0.0000000e+00   4.4106846e+00
-   4.6000000e+01   1.0000000e+01   0.0000000e+00   4.3628042e+00
-   4.7000000e+01   1.0000000e+01   0.0000000e+00   4.3169213e+00
-   4.8000000e+01   1.0000000e+01   0.0000000e+00   4.2729752e+00
-   4.9000000e+01   1.0000000e+01   0.0000000e+00   4.2308931e+00
-   5.0000000e+01   1.0000000e+01   0.0000000e+00   4.1905193e+00
-   5.1000000e+01   1.0000000e+01   0.0000000e+00   4.1525114e+00
-   5.2000000e+01   1.0000000e+01   2.0000000e+00   4.6163761e+00
-   5.3000000e+01   1.0000000e+01   2.0000000e+00   5.0180717e+00
-   5.4000000e+01   1.0000000e+01   2.0000000e+00   5.5388985e+00
-   5.5000000e+01   1.0000000e+01   2.0000000e+00   1.0240425e+01
-   5.6000000e+01   1.0000000e+01   2.0000000e+00   1.0864526e+01
-   5.7000000e+01   1.0000000e+01   2.0000000e+00   1.1091120e+01
-   5.8000000e+01   1.0000000e+01   2.0000000e+00   1.1226228e+01
-   5.9000000e+01   1.0000000e+01   2.0000000e+00   1.1319712e+01
-   6.0000000e+01   1.0000000e+01   2.0000000e+00   1.1389335e+01
-   6.1000000e+01   1.0000000e+01   2.0000000e+00   1.1443597e+01
-   6.2000000e+01   1.0000000e+01   2.0000000e+00   1.1487179e+01
-   6.3000000e+01   1.0000000e+01   2.0000000e+00   1.1522900e+01
-   6.4000000e+01   1.0000000e+01   2.0000000e+00   1.1552685e+01
-   6.5000000e+01   1.0000000e+01   2.0000000e+00   1.1577810e+01
-   6.6000000e+01   1.0000000e+01   2.0000000e+00   1.1599224e+01
-   6.7000000e+01   1.0000000e+01   2.0000000e+00   1.1617614e+01
-   6.8000000e+01   1.0000000e+01   2.0000000e+00   1.1633520e+01
-   6.9000000e+01   1.0000000e+01   2.0000000e+00   1.1647344e+01
-   7.0000000e+01   1.0000000e+01   2.0000000e+00   1.1659397e+01
-   7.1000000e+01   1.1967972e+01   2.0000000e+00   1.1669950e+01
-   7.2000000e+01   1.1958446e+01   2.0000000e+00   1.1671852e+01
-   7.3000000e+01   8.4544710e+00   2.0000000e+00   1.1680913e+01
-   7.4000000e+01   8.5539305e+00   2.0000000e+00   1.1697474e+01
-   7.5000000e+01   8.6615203e+00   2.0000000e+00   1.1711431e+01
-   7.6000000e+01   1.1876000e+01   2.0000000e+00   1.1707143e+01
-   7.7000000e+01   9.8496978e+00   0.0000000e+00   1.1631787e+01
-   7.8000000e+01   1.1577324e+01   0.0000000e+00   1.1566760e+01
-   7.9000000e+01   1.1767325e+01   0.0000000e+00   1.1481169e+01
-   8.0000000e+01   1.1903341e+01   0.0000000e+00   1.1380073e+01
-   8.1000000e+01   8.4980255e+00   0.0000000e+00   1.1286743e+01
-   8.2000000e+01   9.4398900e+00   0.0000000e+00   1.1170642e+01
-   8.3000000e+01   8.9842068e+00   0.0000000e+00   1.1046493e+01
-   8.4000000e+01   1.1926760e+01   0.0000000e+00   1.0849682e+01
-   8.5000000e+01   1.1654656e+01   0.0000000e+00   1.0495365e+01
-   8.6000000e+01   1.1209312e+01   0.0000000e+00   6.7484067e+00
-   8.7000000e+01   8.0646077e+00   0.0000000e+00   5.7285667e+00
-   8.8000000e+01   1.1870577e+01   0.0000000e+00   5.4585866e+00
-   8.9000000e+01   1.1999824e+01   0.0000000e+00   5.2251051e+00
-   9.0000000e+01   1.1851125e+01   0.0000000e+00   5.0601054e+00
-   9.1000000e+01   1.1445149e+01   0.0000000e+00   4.9330044e+00
-   9.2000000e+01   1.0838319e+01   0.0000000e+00   4.8299847e+00
-   9.3000000e+01   1.0114975e+01   0.0000000e+00   4.7442184e+00
-   9.4000000e+01   9.3756515e+00   0.0000000e+00   4.6714920e+00
-   9.5000000e+01   8.7231029e+00   0.0000000e+00   4.6087369e+00
-   9.6000000e+01   8.2480236e+00   0.0000000e+00   4.5536973e+00
-   9.7000000e+01   8.0164423e+00   0.0000000e+00   4.5041161e+00
-   9.8000000e+01   8.0605453e+00   0.0000000e+00   4.4579115e+00
-   9.9000000e+01   8.3742029e+00   0.0000000e+00   4.4129517e+00
-   1.0000000e+02   8.9138215e+00   0.0000000e+00   4.3678861e+00
-   1.0100000e+02   9.6044024e+00   0.0000000e+00   4.3225636e+00
-   1.0200000e+02   1.0349965e+01   1.0000000e+00   4.5292892e+00
-   1.0300000e+02   1.1046888e+01   1.0000000e+00   4.7084388e+00
-   1.0400000e+02   1.1598310e+01   1.0000000e+00   4.8637019e+00
-   1.0500000e+02   1.1927591e+01   1.0000000e+00   5.0065395e+00
-   1.0600000e+02   1.1988966e+01   1.0000000e+00   5.1454768e+00
-   1.0700000e+02   1.1773905e+01   1.0000000e+00   5.2896015e+00
-   1.0800000e+02   9.5069134e+00   1.0000000e+00   5.4547050e+00
-   1.0900000e+02   1.0201434e+01   1.0000000e+00   5.6626516e+00
-   1.1000000e+02   1.0871530e+01   1.0000000e+00   5.9764029e+00
-   1.1100000e+02   1.1435949e+01   1.0000000e+00   6.6571648e+00
-   1.1200000e+02   1.1826253e+01   1.0000000e+00   9.8737914e+00
-   1.1300000e+02   1.1995115e+01   1.0000000e+00   1.0221470e+01
-   1.1400000e+02   1.1922060e+01   1.0000000e+00   1.0394357e+01
-   1.1500000e+02   1.1615947e+01   1.0000000e+00   1.0511031e+01
-   1.1600000e+02   1.1113893e+01   1.0000000e+00   1.0605958e+01
-   1.1700000e+02   1.0476774e+01   1.0000000e+00   1.0692377e+01
-   1.1800000e+02   9.7818439e+00   1.0000000e+00   1.0773979e+01
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-   1.8870000e+03   1.2000000e+01   1.5571943e+00   1.1347300e+01
-   1.8880000e+03   1.2000000e+01   1.9858013e+00   1.1342590e+01
-   1.8890000e+03   1.2000000e+01   1.3491754e-01   1.1311302e+01
-   1.8900000e+03   1.2000000e+01   1.2357462e+00   1.1286301e+01
-   1.8910000e+03   1.2000000e+01   1.9061507e+00   1.1242259e+01
-   1.8920000e+03   1.2000000e+01   3.4786262e-01   1.1192205e+01
-   1.8930000e+03   1.2000000e+01   1.0757914e+00   1.1201692e+01
-   1.8940000e+03   1.2000000e+01   5.6707975e-01   1.1145539e+01
-   1.8950000e+03   1.2000000e+01   9.1072587e-01   1.1112141e+01
-   1.8960000e+03   1.2000000e+01   1.4832166e-01   1.1084751e+01
-   1.8970000e+03   1.2000000e+01   1.4732199e-01   1.1046282e+01
-   1.8980000e+03   1.2000000e+01   1.5599271e-03   1.0997990e+01
-   1.8990000e+03   1.2000000e+01   5.5658431e-01   1.0984242e+01
-   1.9000000e+03   1.2000000e+01   1.4623703e-02   1.0927131e+01
-   1.9010000e+03   1.2000000e+01   9.9376068e-01   1.0959696e+01
-   1.9020000e+03   1.2000000e+01   5.8915985e-01   1.0959187e+01
-   1.9030000e+03   1.2000000e+01   4.2319589e-01   1.0898373e+01
-   1.9040000e+03   1.2000000e+01   1.5310096e+00   1.0886572e+01
-   1.9050000e+03   1.2000000e+01   1.3545374e+00   1.0875900e+01
-   1.9060000e+03   1.2000000e+01   7.4854218e-02   1.0899426e+01
-   1.9070000e+03   1.2000000e+01   5.2818514e-02   1.0909456e+01
-   1.9080000e+03   1.2000000e+01   1.8998191e+00   1.0890819e+01
-   1.9090000e+03   1.2000000e+01   1.5234251e+00   1.0940594e+01
-   1.9100000e+03   1.2000000e+01   6.3224648e-01   1.0928259e+01
-   1.9110000e+03   1.2000000e+01   1.4091739e+00   1.0942643e+01
-   1.9120000e+03   1.2000000e+01   1.1220000e+00   1.0979326e+01
-   1.9130000e+03   1.2000000e+01   1.6820504e+00   1.1009546e+01
-   1.9140000e+03   1.2000000e+01   6.8421296e-01   1.0956882e+01
-   1.9150000e+03   1.2000000e+01   1.0234321e+00   1.0964794e+01
-   1.9160000e+03   1.2000000e+01   6.6592718e-02   1.0977633e+01
-   1.9170000e+03   1.2000000e+01   1.8598297e+00   1.0932429e+01
-   1.9180000e+03   1.2000000e+01   6.2078672e-01   1.0936709e+01
-   1.9190000e+03   1.2000000e+01   1.4682842e+00   1.0977145e+01
-   1.9200000e+03   1.2000000e+01   1.9872427e+00   1.1020685e+01
-   1.9210000e+03   1.2000000e+01   3.8614499e-01   1.0962255e+01
-   1.9220000e+03   1.2000000e+01   9.8093145e-01   1.1009578e+01
-   1.9230000e+03   1.2000000e+01   1.1841104e+00   1.0975666e+01
-   1.9240000e+03   1.2000000e+01   1.1061768e-02   1.0945104e+01
-   1.9250000e+03   1.2000000e+01   1.9635159e+00   1.0948550e+01
-   1.9260000e+03   1.2000000e+01   1.0796173e+00   1.0930418e+01
-   1.9270000e+03   1.2000000e+01   7.3055140e-01   1.0906652e+01
-   1.9280000e+03   8.0000000e+00   1.7015724e+00   1.0962122e+01
-   1.9290000e+03   8.0000000e+00   1.0325386e-01   1.1036330e+01
-   1.9300000e+03   8.0000000e+00   1.5417059e+00   1.1125307e+01
-   1.9310000e+03   8.0000000e+00   7.7420198e-01   1.1171085e+01
-   1.9320000e+03   8.0000000e+00   8.2119484e-01   1.1192468e+01
-   1.9330000e+03   8.0000000e+00   7.2388937e-01   1.1205757e+01
-   1.9340000e+03   8.0000000e+00   9.6957644e-01   1.1219644e+01
-   1.9350000e+03   8.0000000e+00   2.7954844e-01   1.1230554e+01
-   1.9360000e+03   8.0000000e+00   1.1713187e+00   1.1217855e+01
-   1.9370000e+03   8.0000000e+00   8.9421203e-01   1.1203516e+01
-   1.9380000e+03   8.0000000e+00   1.0409929e+00   1.1212673e+01
-   1.9390000e+03   8.0000000e+00   5.0975375e-01   1.1232503e+01
-   1.9400000e+03   8.0000000e+00   1.7126520e+00   1.1265622e+01
-   1.9410000e+03   8.0000000e+00   2.0890728e-01   1.1275423e+01
-   1.9420000e+03   8.0000000e+00   1.0537380e+00   1.1274554e+01
-   1.9430000e+03   8.0000000e+00   1.3307501e-01   1.1286434e+01
-   1.9440000e+03   8.0000000e+00   3.8508750e-01   1.1294856e+01
-   1.9450000e+03   8.0000000e+00   5.4073725e-01   1.1280513e+01
-   1.9460000e+03   8.0000000e+00   1.4037642e+00   1.1286561e+01
-   1.9470000e+03   8.0000000e+00   1.0234642e+00   1.1293071e+01
-   1.9480000e+03   8.0000000e+00   1.9171995e+00   1.1303925e+01
-   1.9490000e+03   8.0000000e+00   1.9794856e+00   1.1337689e+01
-   1.9500000e+03   8.0000000e+00   1.8075212e+00   1.1352577e+01
-   1.9510000e+03   8.0000000e+00   7.9672440e-01   1.1363275e+01
-   1.9520000e+03   8.0000000e+00   1.4665748e+00   1.1349251e+01
-   1.9530000e+03   8.0000000e+00   1.1416756e+00   1.1347145e+01
-   1.9540000e+03   8.0000000e+00   1.8795934e+00   1.1354300e+01
-   1.9550000e+03   8.0000000e+00   4.0397285e-01   1.1368471e+01
-   1.9560000e+03   8.0000000e+00   1.5097029e-01   1.1373547e+01
-   1.9570000e+03   8.0000000e+00   6.5382907e-01   1.1389623e+01
-   1.9580000e+03   8.0000000e+00   1.1622349e+00   1.1398051e+01
-   1.9590000e+03   8.0000000e+00   1.2443865e-01   1.1405884e+01
-   1.9600000e+03   8.0000000e+00   1.4557799e+00   1.1411523e+01
-   1.9610000e+03   8.0000000e+00   1.9102665e-01   1.1413494e+01
-   1.9620000e+03   8.0000000e+00   1.7010459e+00   1.1426116e+01
-   1.9630000e+03   8.0000000e+00   9.0310759e-01   1.1444526e+01
-   1.9640000e+03   8.0000000e+00   7.3003904e-01   1.1442730e+01
-   1.9650000e+03   8.0000000e+00   5.8571192e-01   1.1452219e+01
-   1.9660000e+03   8.0000000e+00   1.2405009e-01   1.1440141e+01
-   1.9670000e+03   8.0000000e+00   1.1401632e+00   1.1442813e+01
-   1.9680000e+03   8.0000000e+00   1.5575119e+00   1.1448809e+01
-   1.9690000e+03   8.0000000e+00   8.4284820e-01   1.1446401e+01
-   1.9700000e+03   1.2000000e+01   2.7880337e-01   1.1446747e+01
-   1.9710000e+03   1.2000000e+01   1.4521128e+00   1.1418869e+01
-   1.9720000e+03   1.2000000e+01   3.7839101e-01   1.1377423e+01
-   1.9730000e+03   1.2000000e+01   2.7321321e-01   1.1351045e+01
-   1.9740000e+03   1.2000000e+01   1.5218514e+00   1.1336872e+01
-   1.9750000e+03   1.2000000e+01   1.3538506e+00   1.1306553e+01
-   1.9760000e+03   1.2000000e+01   4.3693055e-01   1.1274991e+01
-   1.9770000e+03   1.2000000e+01   1.5009111e+00   1.1250409e+01
-   1.9780000e+03   1.2000000e+01   7.5404406e-02   1.1206309e+01
-   1.9790000e+03   1.2000000e+01   4.0323052e-01   1.1179456e+01
-   1.9800000e+03   1.2000000e+01   1.3402920e+00   1.1125464e+01
-   1.9810000e+03   1.2000000e+01   2.3457333e-01   1.1105875e+01
-   1.9820000e+03   1.2000000e+01   1.5784822e+00   1.1095985e+01
-   1.9830000e+03   1.2000000e+01   2.1317873e-01   1.1060230e+01
-   1.9840000e+03   1.2000000e+01   1.0862841e+00   1.1054171e+01
-   1.9850000e+03   1.2000000e+01   1.6893953e+00   1.1064497e+01
-   1.9860000e+03   1.2000000e+01   7.6029416e-01   1.1106190e+01
-   1.9870000e+03   1.2000000e+01   8.6530825e-01   1.1099004e+01
-   1.9880000e+03   1.2000000e+01   1.1127874e+00   1.1084518e+01
-   1.9890000e+03   1.2000000e+01   9.0081646e-02   1.1022960e+01
-   1.9900000e+03   1.2000000e+01   1.0392375e+00   1.1020234e+01
-   1.9910000e+03   1.2000000e+01   7.8149936e-01   1.0991618e+01
-   1.9920000e+03   1.2000000e+01   5.4041251e-01   1.0955608e+01
-   1.9930000e+03   1.2000000e+01   9.6465113e-02   1.0934033e+01
-   1.9940000e+03   1.2000000e+01   1.7870238e+00   1.0936232e+01
-   1.9950000e+03   1.2000000e+01   2.4187643e-01   1.0895341e+01
-   1.9960000e+03   1.2000000e+01   6.7339100e-01   1.0943916e+01
-   1.9970000e+03   1.2000000e+01   1.0768536e+00   1.0948350e+01
-   1.9980000e+03   1.2000000e+01   1.5361372e+00   1.0979263e+01
-   1.9990000e+03   1.2000000e+01   1.6639865e+00   1.1017650e+01
-   2.0000000e+03   1.2000000e+01   1.7585419e+00   1.1003071e+01
-   2.0010000e+03   1.2000000e+01   1.3835354e+00   1.1004373e+01
--- a/extra/control-devel/devel/pdfdoc/collect_texinfo_strings.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,41 +0,0 @@
-% pack_name = "generate_html"
-% pack_name = "control"
-% pack_name = "quaternion"
-pack_name = "control-devel"
-
-% Load Packages
-pkg load "generate_html"
-pkg ("load", pack_name);
-
-% Get list of functions  
-list = pkg ("describe", pack_name);
-
-%list
-
-% Open output file
-fid = fopen ("functions.texi", "w");
-
-for k = 1:numel (list {1}.provides)
-        
-        group = list {1}.provides{k};
-        functions = group.functions;
-
-        % fprintf (fid, '@section %s\n', group.category);
-        fprintf (fid, '@chapter %s\n', group.category);
-        
-        for k=1:numel(functions)
-                [TEXT, FORMAT] = get_help_text (functions(k));
-                fun = functions{k};
-                if (fun(1) == "@")
-                  % fprintf (fid, '@subsection @%s\n', fun);
-                  fprintf (fid, '@section @%s\n', fun);
-                else
-                  % fprintf (fid, '@subsection %s\n', fun);
-                  fprintf (fid, '@section %s\n', fun);
-                endif
-                fprintf (fid,TEXT);
-        end
-        
-end
-
-fclose(fid);
--- a/extra/control-devel/devel/pdfdoc/control-devel.tex	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,104 +0,0 @@
-\input texinfo   @c -*-texinfo-*-
-@c %**start of header
-@setfilename control-devel.info
-@settitle Octave Control Systems Package
-@afourpaper
-@set VERSION 0.2.0
-@finalout
-@c @afourwide
-@c %**end of header
-
-
-@c The following macro is used for the on-line help system, but we don't
-@c want lots of `See also: foo, bar, and baz' strings cluttering the
-@c printed manual (that information should be in the supporting text for
-@c each group of functions and variables).
-
-@macro seealso {args}
-@iftex
-@vskip 2pt
-@end iftex
-@ifnottex
-@c Texinfo @sp should work but in practice produces ugly results for HTML.
-@c A simple blank line produces the correct behavior. 
-@c @sp 1
-
-@end ifnottex
-@noindent
-@strong{See also:} \args\.
-@end macro
-
-
-@c %*** Start of TITLEPAGE
-@titlepage
-@title control-devel @value{VERSION}
-@subtitle Control Systems Package for GNU Octave
-@author Lukas F. Reichlin
-@page
-@vskip 0pt plus 1filll
-Copyright @copyright{} 2009-2012, Lukas F. Reichlin @email{lukas.reichlin@@gmail.com}
-
-This manual is generated automatically from the texinfo help strings
-of the package's functions.
-
-Permission is granted to make and distribute verbatim copies of
-this manual provided the copyright notice and this permission notice
-are preserved on all copies.
-
-Permission is granted to copy and distribute modified versions of this
-manual under the conditions for verbatim copying, provided that the entire
-resulting derived work is distributed under the terms of a permission
-notice identical to this one.
-
-Permission is granted to copy and distribute translations of this manual
-into another language, under the same conditions as for modified versions.
-@page
-@chapheading Preface
-The @acronym{GNU} Octave control package from version 2 onwards was
-developed by Lukas F. Reichlin and is based on the proven open-source
-library @acronym{SLICOT}. This new package is intended as a replacement
-for control-1.0.11 by A. Scottedward Hodel and his students.
-Its main features are:
-@itemize
-@item Reliable solvers for Lyapunov, Sylvester and algebraic Riccati equations.
-@item Pole placement techniques as well as @tex $ H_2 $ @end tex
-and @tex $ H_{\infty} $ @end tex
-synthesis methods.
-@item Frequency-weighted model and controller reduction.
-@item Overloaded operators due to the use of classes introduced with Octave 3.2.
-@item Support for descriptor state-space models and non-proper transfer functions.
-@item Improved @acronym{MATLAB} compatibility.
-@end itemize
-
-@sp 5
-@subheading Acknowledgments
-The author is indebted to several people and institutions who helped
-him to achieve his goals. I am particularly grateful to Luca Favatella
-who introduced me to Octave development as well as discussed and revised
-my early draft code with great patience. My continued support from the
-@acronym{FHNW} University of Applied Sciences of Northwestern Switzerland,
-where I could work on the control package as a semester project, has also
-been important. Furthermore, I thank the @acronym{SLICOT} authors
-Peter Benner, Vasile Sima and Andras Varga for their advice.
-
-
-@sp 5
-@subheading Using the help function
-Some functions of the control package are listed with a leading @code{@@lti/}.
-This is only needed to view the help text of the function, e.g. @w{@code{help norm}}
-shows the built-in function while @w{@code{help @@lti/norm}} shows the overloaded
-function for @acronym{LTI} systems. Note that there are @acronym{LTI} functions
-like @code{pole} that have no built-in equivalent.
-
-When just using the function, the leading @code{@@lti/} must @strong{not} be typed.
-Octave selects the right function automatically. So one can type @w{@code{norm (sys, inf)}}
-and @w{@code{norm (matrix, inf)}} regardless of the class of the argument.
-@end titlepage
-@c %*** End of TITLEPAGE
-
-@contents
-@c @chapter Function Reference
-@include functions.texi
-
-@end
-@bye
--- a/extra/control-devel/devel/pdfdoc/info_generate_manual.txt	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,13 +0,0 @@
-* Check that "pkg list" lists the packages generate_html and control-devel.
-* Run collect_texinfo_strings within Octave.  This script collects the Texinfo strings from all
-  functions listed in the package's INDEX file and writes them to the file functions.texi.
-  Don't edit the file functions.texi since your changes will be lost by the next run.
-* Adapt version number in control-devel.tex
-* Run control-devel.tex 
-
-
-pdftex control-devel.tex
-q
-
-Alternatively:
-Run generate_devel_pdf
--- a/extra/control-devel/devel/powerplant.dat	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,200 +0,0 @@
-   1.0000000e+00	  -8.1100000e+02	  -5.9200000e+02	   4.2100000e+02	  -6.8000000e+02	  -6.8100000e+02	   1.1700000e+02	   1.2900000e+02	  -4.7000000e+01	   1.2005000e+02	   1.2904000e+02	  -4.8588000e+01	
-   2.0000000e+00	  -8.1200000e+02	  -6.1900000e+02	   4.7700000e+02	  -6.8500000e+02	  -6.5100000e+02	   1.1300000e+02	   1.4100000e+02	  -4.2000000e+01	   1.0881000e+02	   1.3890000e+02	  -4.2329000e+01	
-   3.0000000e+00	  -8.1700000e+02	  -5.6500000e+02	   5.3800000e+02	  -6.7800000e+02	  -6.7700000e+02	   8.3000000e+01	   1.5000000e+02	  -3.7000000e+01	   8.4903000e+01	   1.5790000e+02	  -2.9271000e+01	
-   4.0000000e+00	  -6.9500000e+02	  -7.2500000e+02	   5.3600000e+02	  -6.7400000e+02	  -7.0200000e+02	   1.4400000e+02	   1.7400000e+02	  -3.0000000e+00	   1.4232000e+02	   1.6939000e+02	  -9.7179000e+00	
-   5.0000000e+00	  -6.9700000e+02	  -5.7100000e+02	   5.3100000e+02	  -6.7600000e+02	  -6.8500000e+02	   1.5600000e+02	   1.9600000e+02	   1.9000000e+01	   1.6235000e+02	   1.9724000e+02	   4.0350000e+01	
-   6.0000000e+00	  -6.9700000e+02	  -6.1800000e+02	   5.3300000e+02	  -6.8100000e+02	  -7.2100000e+02	   1.7400000e+02	   1.9200000e+02	   6.0000000e+00	   2.0722000e+02	   2.1180000e+02	   4.7120000e+01	
-   7.0000000e+00	  -7.0200000e+02	  -5.7900000e+02	   5.4900000e+02	  -6.7700000e+02	  -6.9900000e+02	   1.7100000e+02	   1.9300000e+02	   3.0000000e+00	   2.2415000e+02	   2.1638000e+02	   4.6753000e+01	
-   8.0000000e+00	  -7.0300000e+02	  -4.8700000e+02	   5.7500000e+02	  -6.7700000e+02	  -6.9400000e+02	   1.6900000e+02	   2.2400000e+02	   1.4000000e+01	   2.0604000e+02	   2.0174000e+02	   3.2968000e+01	
-   9.0000000e+00	  -7.0500000e+02	  -4.4900000e+02	   5.6100000e+02	  -6.7900000e+02	  -6.7800000e+02	   1.5500000e+02	   2.1100000e+02	   1.4000000e+01	   1.7784000e+02	   1.8128000e+02	   1.4550000e+01	
-   1.0000000e+01	  -7.0500000e+02	  -4.3100000e+02	   5.6300000e+02	  -6.8000000e+02	  -6.9200000e+02	   1.3700000e+02	   1.7500000e+02	   4.0000000e+00	   1.4376000e+02	   1.5895000e+02	   2.6711000e-01	
-   1.1000000e+01	  -7.0700000e+02	  -5.0200000e+02	   5.6100000e+02	  -6.7900000e+02	  -6.8600000e+02	   1.3000000e+02	   1.6500000e+02	   1.3000000e+01	   1.3855000e+02	   1.4555000e+02	  -3.0633000e+00	
-   1.2000000e+01	  -7.0700000e+02	  -5.8300000e+02	   5.3000000e+02	  -6.7600000e+02	  -7.5100000e+02	   1.4500000e+02	   1.7200000e+02	   2.1000000e+01	   1.5585000e+02	   1.4866000e+02	   6.6326000e+00	
-   1.3000000e+01	  -7.1000000e+02	  -4.5800000e+02	   5.4000000e+02	  -6.7700000e+02	  -7.0000000e+02	   1.2800000e+02	   1.7300000e+02	   3.0000000e+01	   1.3007000e+02	   1.5522000e+02	   1.4064000e+01	
-   1.4000000e+01	  -7.1300000e+02	  -4.6900000e+02	   5.4300000e+02	  -6.7900000e+02	  -7.3100000e+02	   1.1900000e+02	   1.9400000e+02	   3.0000000e+01	   1.1735000e+02	   1.5489000e+02	   3.8572000e-01	
-   1.5000000e+01	  -7.1500000e+02	  -5.0600000e+02	   5.4900000e+02	  -6.8400000e+02	  -6.3500000e+02	   1.2700000e+02	   1.8800000e+02	   1.1000000e+01	   1.2012000e+02	   1.5549000e+02	  -1.5554000e+00	
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-   1.4800000e+02	   1.7300000e+02	   8.2500000e+02	   1.3370000e+03	  -8.6000000e+01	  -3.8300000e+02	  -1.0200000e+02	   2.8000000e+01	   7.3000000e+01	  -9.8173000e+01	  -3.6908000e+00	   7.6166000e+01	
-   1.4900000e+02	   1.9300000e+02	   8.3600000e+02	   1.3320000e+03	  -8.6000000e+01	  -4.4900000e+02	  -1.2400000e+02	   2.2000000e+01	   7.4000000e+01	  -1.2005000e+02	  -1.1467000e+01	   7.6462000e+01	
-   1.5000000e+02	   1.7400000e+02	   8.3200000e+02	   1.3250000e+03	  -8.7000000e+01	  -4.3200000e+02	  -1.2500000e+02	   1.9000000e+01	   9.0000000e+01	  -1.3460000e+02	  -9.7526000e+00	   7.9281000e+01	
-   1.5100000e+02	   1.7500000e+02	   8.3400000e+02	   1.3260000e+03	  -8.8000000e+01	  -3.8300000e+02	  -1.3200000e+02	   9.0000000e+00	   1.0000000e+02	  -1.4502000e+02	  -9.1438000e+00	   8.1874000e+01	
-   1.5200000e+02	   1.7600000e+02	   8.9900000e+02	   1.3320000e+03	  -8.6000000e+01	  -3.4100000e+02	  -1.6700000e+02	   8.0000000e+00	   1.0200000e+02	  -1.7275000e+02	  -1.2691000e+01	   8.4682000e+01	
-   1.5300000e+02	   1.9500000e+02	   8.2700000e+02	   1.2960000e+03	  -8.4000000e+01	  -3.7100000e+02	  -1.6100000e+02	   7.0000000e+00	   9.0000000e+01	  -1.6926000e+02	  -1.3264000e+01	   8.5342000e+01	
-   1.5400000e+02	   1.7400000e+02	   8.9700000e+02	   1.3110000e+03	  -8.6000000e+01	  -3.6600000e+02	  -1.8500000e+02	   1.9000000e+01	   1.0500000e+02	  -1.9553000e+02	  -1.3720000e+01	   9.3662000e+01	
-   1.5500000e+02	   1.9500000e+02	   8.4800000e+02	   1.3200000e+03	  -8.6000000e+01	  -4.1600000e+02	  -2.0700000e+02	   2.9000000e+01	   1.1000000e+02	  -1.9946000e+02	  -1.8479000e+01	   8.7466000e+01	
-   1.5600000e+02	   1.9200000e+02	   7.7700000e+02	   1.2860000e+03	  -8.3000000e+01	   1.2600000e+02	  -2.9500000e+02	   2.4000000e+01	   1.5900000e+02	  -1.4262000e+02	  -1.2136000e+01	   1.2313000e+02	
-   1.5700000e+02	   1.7100000e+02	   7.8800000e+02	   1.3090000e+03	  -8.4000000e+01	   1.5300000e+02	  -3.6100000e+02	   1.7000000e+01	   2.9300000e+02	  -1.0476000e+02	  -4.2073000e+01	   1.6220000e+02	
-   1.5800000e+02	   1.7100000e+02	   8.1000000e+02	   1.3070000e+03	  -8.4000000e+01	   1.7300000e+02	  -4.1100000e+02	   1.2000000e+01	   4.3600000e+02	  -1.0741000e+02	  -9.5394000e+01	   1.7308000e+02	
-   1.5900000e+02	   1.7400000e+02	   7.5800000e+02	   1.2970000e+03	  -8.5000000e+01	   1.8200000e+02	  -4.0100000e+02	   4.8000000e+01	   5.4000000e+02	  -1.0825000e+02	  -1.6499000e+02	   1.6789000e+02	
-   1.6000000e+02	   1.8800000e+02	   9.1000000e+02	   1.3290000e+03	  -1.0360000e+03	   2.3600000e+02	  -4.4100000e+02	   8.6000000e+01	   6.0100000e+02	  -1.7774000e+02	  -2.4514000e+02	   1.5380000e+02	
-   1.6100000e+02	   1.8900000e+02	   9.4400000e+02	   1.3440000e+03	  -1.6690000e+03	   2.4500000e+02	  -4.7500000e+02	   1.1800000e+02	   5.5300000e+02	  -2.4260000e+02	  -3.2187000e+02	   7.0373000e+01	
-   1.6200000e+02	   1.9600000e+02	   8.5900000e+02	   1.3300000e+03	  -1.6680000e+03	   2.4900000e+02	  -4.4800000e+02	   1.4600000e+02	   4.7200000e+02	  -2.6573000e+02	  -3.7763000e+02	  -4.3409000e+01	
-   1.6300000e+02	   1.9000000e+02	   7.9700000e+02	   1.3200000e+03	  -1.6690000e+03	   2.3100000e+02	  -4.0100000e+02	   1.7200000e+02	   4.2800000e+02	  -2.7365000e+02	  -4.0826000e+02	  -1.3692000e+02	
-   1.6400000e+02	   1.9100000e+02	   7.8400000e+02	   1.3410000e+03	  -1.6650000e+03	   2.4800000e+02	  -3.6600000e+02	   1.9700000e+02	   4.0000000e+02	  -2.8471000e+02	  -4.2695000e+02	  -2.1685000e+02	
-   1.6500000e+02	   1.8400000e+02	   7.3700000e+02	   1.3350000e+03	  -1.6560000e+03	   2.4000000e+02	  -3.0400000e+02	   2.3100000e+02	   3.9100000e+02	  -2.8533000e+02	  -4.4063000e+02	  -2.8394000e+02	
-   1.6600000e+02	   1.8200000e+02	   7.3300000e+02	   1.3420000e+03	  -1.6550000e+03	   2.4500000e+02	  -2.5200000e+02	   2.5300000e+02	   3.8700000e+02	  -2.9337000e+02	  -4.5478000e+02	  -3.3608000e+02	
-   1.6700000e+02	   1.8200000e+02	   6.9600000e+02	   1.3500000e+03	  -1.6530000e+03	   2.5300000e+02	  -1.8300000e+02	   2.6100000e+02	   3.9900000e+02	  -2.9063000e+02	  -4.6898000e+02	  -3.7665000e+02	
-   1.6800000e+02	   1.8500000e+02	   6.1400000e+02	   1.3410000e+03	  -1.6580000e+03	   2.3600000e+02	  -1.2300000e+02	   2.5500000e+02	   4.0500000e+02	  -2.6515000e+02	  -4.7623000e+02	  -4.0169000e+02	
-   1.6900000e+02	   1.8800000e+02	   7.0800000e+02	   1.3700000e+03	  -1.6540000e+03	   2.3800000e+02	  -1.0700000e+02	   2.4700000e+02	   3.9700000e+02	  -2.7894000e+02	  -4.8478000e+02	  -4.2040000e+02	
-   1.7000000e+02	   1.9100000e+02	   7.2900000e+02	   1.3660000e+03	  -1.6550000e+03	   2.3700000e+02	  -7.6000000e+01	   2.2800000e+02	   3.9200000e+02	  -2.9231000e+02	  -4.9574000e+02	  -4.4865000e+02	
-   1.7100000e+02	   1.8300000e+02	   7.1400000e+02	   1.3800000e+03	  -1.6510000e+03	   2.6200000e+02	  -7.1000000e+01	   2.0500000e+02	   3.8900000e+02	  -3.0028000e+02	  -5.0779000e+02	  -4.6987000e+02	
-   1.7200000e+02	   1.8600000e+02	   6.9500000e+02	   1.3780000e+03	  -1.6510000e+03	   2.5700000e+02	  -6.6000000e+01	   1.9200000e+02	   3.8100000e+02	  -3.0339000e+02	  -5.1827000e+02	  -4.8047000e+02	
-   1.7300000e+02	   1.8900000e+02	   7.5800000e+02	   1.3870000e+03	  -1.6490000e+03	   2.7600000e+02	  -9.2000000e+01	   1.7100000e+02	   3.7100000e+02	  -3.2633000e+02	  -5.2843000e+02	  -4.8664000e+02	
-   1.7400000e+02	   1.6400000e+02	   5.7200000e+02	   1.3640000e+03	  -1.6490000e+03	   2.5700000e+02	  -4.0000000e+01	   1.7800000e+02	   3.5600000e+02	  -2.8437000e+02	  -5.3105000e+02	  -4.9061000e+02	
-   1.7500000e+02	   1.6300000e+02	   5.8700000e+02	   1.3430000e+03	  -1.6500000e+03	   2.4600000e+02	  -1.5000000e+01	   1.8500000e+02	   3.5300000e+02	  -2.6933000e+02	  -5.2618000e+02	  -4.7915000e+02	
-   1.7600000e+02	   1.6100000e+02	   6.8300000e+02	   1.3530000e+03	  -1.6580000e+03	   2.6100000e+02	  -2.7000000e+01	   1.7000000e+02	   3.5900000e+02	  -2.8677000e+02	  -5.2909000e+02	  -4.8587000e+02	
-   1.7700000e+02	   1.6000000e+02	   5.7200000e+02	   1.3590000e+03	  -1.6540000e+03	   2.6100000e+02	   1.5000000e+01	   1.7300000e+02	   3.5100000e+02	  -2.6299000e+02	  -5.3393000e+02	  -5.0195000e+02	
-   1.7800000e+02	   1.6000000e+02	   6.0700000e+02	   1.3550000e+03	  -1.6510000e+03	   2.6700000e+02	   2.3000000e+01	   1.7500000e+02	   3.5600000e+02	  -2.6303000e+02	  -5.3557000e+02	  -5.0135000e+02	
-   1.7900000e+02	   1.5800000e+02	   5.8000000e+02	   1.3490000e+03	  -1.6550000e+03	   2.7300000e+02	   4.4000000e+01	   1.7800000e+02	   3.3800000e+02	  -2.5204000e+02	  -5.3960000e+02	  -5.0662000e+02	
-   1.8000000e+02	   1.6100000e+02	   6.3100000e+02	   1.3620000e+03	  -1.6520000e+03	   2.7200000e+02	   4.7000000e+01	   1.7100000e+02	   3.2300000e+02	  -2.6356000e+02	  -5.4610000e+02	  -5.1190000e+02	
-   1.8100000e+02	   1.6000000e+02	   7.0600000e+02	   1.3820000e+03	  -1.6570000e+03	   2.9800000e+02	   4.0000000e+00	   1.5300000e+02	   2.9400000e+02	  -2.9576000e+02	  -5.5968000e+02	  -5.2427000e+02	
-   1.8200000e+02	   1.6100000e+02	   6.0100000e+02	   1.3560000e+03	  -1.6540000e+03	   2.7700000e+02	   2.3000000e+01	   1.4100000e+02	   2.9500000e+02	  -2.8718000e+02	  -5.6851000e+02	  -5.3400000e+02	
-   1.8300000e+02	   1.5900000e+02	   5.7000000e+02	   1.3540000e+03	  -1.6530000e+03	   2.7400000e+02	   3.9000000e+01	   1.4100000e+02	   3.0600000e+02	  -2.7639000e+02	  -5.6855000e+02	  -5.2629000e+02	
-   1.8400000e+02	   1.5800000e+02	   5.4700000e+02	   1.3470000e+03	  -1.6570000e+03	   2.6100000e+02	   5.2000000e+01	   1.3900000e+02	   3.1300000e+02	  -2.5927000e+02	  -5.6399000e+02	  -5.2010000e+02	
-   1.8500000e+02	   1.5800000e+02	   5.8200000e+02	   1.3320000e+03	  -1.6570000e+03	   2.5700000e+02	   5.3000000e+01	   1.4200000e+02	   3.1300000e+02	  -2.5785000e+02	  -5.5747000e+02	  -5.2015000e+02	
-   1.8600000e+02	   1.5700000e+02	   5.7000000e+02	   1.3400000e+03	  -1.6570000e+03	   2.6700000e+02	   6.9000000e+01	   1.4200000e+02	   3.1200000e+02	  -2.5199000e+02	  -5.5578000e+02	  -5.2904000e+02	
-   1.8700000e+02	   1.5400000e+02	   5.5600000e+02	   1.3430000e+03	  -1.6570000e+03	   2.6800000e+02	   7.4000000e+01	   1.3600000e+02	   3.0600000e+02	  -2.4545000e+02	  -5.5582000e+02	  -5.3401000e+02	
-   1.8800000e+02	   1.5700000e+02	   5.3700000e+02	   1.3450000e+03	  -1.6570000e+03	  -4.2500000e+02	   1.9600000e+02	   1.6400000e+02	   2.7700000e+02	  -2.8011000e+02	  -5.4967000e+02	  -5.7073000e+02	
-   1.8900000e+02	   1.5800000e+02	   5.5500000e+02	   1.3310000e+03	  -1.6530000e+03	  -5.8100000e+02	   3.4700000e+02	   2.0800000e+02	   1.3300000e+02	  -3.1995000e+02	  -4.9697000e+02	  -6.1617000e+02	
-   1.9000000e+02	   1.5800000e+02	   5.5100000e+02	   1.3150000e+03	  -1.6540000e+03	  -6.4300000e+02	   4.6100000e+02	   2.3000000e+02	  -5.8000000e+01	  -3.2126000e+02	  -4.1269000e+02	  -6.4590000e+02	
-   1.9100000e+02	   1.5900000e+02	   5.9000000e+02	   1.3220000e+03	  -1.6560000e+03	  -6.8700000e+02	   5.2600000e+02	   2.0400000e+02	  -2.5100000e+02	  -3.1328000e+02	  -3.0600000e+02	  -6.5649000e+02	
-   1.9200000e+02	   1.6000000e+02	   5.6600000e+02	   1.3150000e+03	  -1.6570000e+03	  -7.3700000e+02	   5.8100000e+02	   1.6100000e+02	  -3.8500000e+02	  -2.7765000e+02	  -1.9647000e+02	  -6.5015000e+02	
-   1.9300000e+02	   1.6000000e+02	   5.5300000e+02	   1.3150000e+03	  -1.6530000e+03	  -7.6700000e+02	   5.8800000e+02	   1.1900000e+02	  -4.5800000e+02	  -2.2465000e+02	  -9.2677000e+01	  -6.1837000e+02	
-   1.9400000e+02	   1.6100000e+02	   6.4400000e+02	   1.3270000e+03	  -1.3960000e+03	  -7.3100000e+02	   5.4900000e+02	   6.3000000e+01	  -5.2800000e+02	  -1.8456000e+02	  -2.2277000e+00	  -5.7001000e+02	
-   1.9500000e+02	   1.5900000e+02	   6.4000000e+02	   1.3350000e+03	  -5.7700000e+02	  -6.3900000e+02	   4.9700000e+02	   5.0000000e+00	  -5.5000000e+02	  -1.1778000e+02	   7.2004000e+01	  -5.0293000e+02	
-   1.9600000e+02	   1.6100000e+02	   7.2600000e+02	   1.3340000e+03	  -5.7700000e+02	  -7.3000000e+02	   4.2000000e+02	  -2.0000000e+01	  -4.9800000e+02	  -9.6611000e+01	   1.2077000e+02	  -3.9313000e+02	
-   1.9700000e+02	   1.7500000e+02	   7.2900000e+02	   1.3100000e+03	  -5.7300000e+02	  -7.1100000e+02	   3.2700000e+02	  -4.9000000e+01	  -4.6400000e+02	  -6.9050000e+01	   1.5983000e+02	  -2.8852000e+02	
-   1.9800000e+02	   1.7500000e+02	   8.5400000e+02	   1.3300000e+03	  -5.7600000e+02	  -6.9000000e+02	   1.9800000e+02	  -7.8000000e+01	  -4.3800000e+02	  -7.2970000e+01	   1.8176000e+02	  -1.9352000e+02	
-   1.9900000e+02	   1.6100000e+02	   7.2900000e+02	   1.3130000e+03	  -5.7300000e+02	  -6.3600000e+02	   1.5400000e+02	  -8.0000000e+01	  -4.0900000e+02	  -1.7599000e+01	   2.0261000e+02	  -1.1462000e+02	
-   2.0000000e+02	   1.7600000e+02	   7.0600000e+02	   1.3140000e+03	  -5.8300000e+02	  -7.4500000e+02	   1.3000000e+02	  -6.0000000e+01	  -3.7700000e+02	   2.7441000e+01	   2.2371000e+02	  -4.0925000e+01	
--- a/extra/control-devel/devel/rarx.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,202 +0,0 @@
-## Copyright (C) 2012   Lukas F. Reichlin
-##
-## This file is part of LTI Syncope.
-##
-## LTI Syncope is free software: you can redistribute it and/or modify
-## it under the terms of the GNU General Public License as published by
-## the Free Software Foundation, either version 3 of the License, or
-## (at your option) any later version.
-##
-## LTI Syncope is distributed in the hope that it will be useful,
-## but WITHOUT ANY WARRANTY; without even the implied warranty of
-## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-## GNU General Public License for more details.
-##
-## You should have received a copy of the GNU General Public License
-## along with LTI Syncope.  If not, see <http://www.gnu.org/licenses/>.
-
-## -*- texinfo -*-
-## @deftypefn {Function File} {@var{sys} =} arx (@var{dat}, @var{na}, @var{nb})
-## ARX
-## @end deftypefn
-
-## Author: Lukas Reichlin <lukas.reichlin@gmail.com>
-## Created: April 2012
-## Version: 0.1
-
-function [sys, varargout] = rarx (dat, na, nb)
-
-  ## TODO: delays
-
-  if (nargin != 3)
-    print_usage ();
-  endif
-  
-  if (! isa (dat, "iddata"))
-    error ("arx: first argument must be an iddata dataset");
-  endif
-
-  ## p: outputs,  m: inputs,  ex: experiments
-  [~, p, m, ex] = size (dat);
-
-  ## extract data  
-  Y = dat.y;
-  U = dat.u;
-  tsam = dat.tsam;
-
-  ## multi-experiment data requires equal sampling times  
-  if (ex > 1 && ! isequal (tsam{:}))
-    error ("arx: require equally sampled experiments");
-  else
-    tsam = tsam{1};
-  endif
-
-  
-  if (is_real_scalar (na, nb))
-    na = repmat (na, p, 1);                         # na(p-by-1)
-    nb = repmat (nb, p, m);                         # nb(p-by-m)
-  elseif (! (is_real_vector (na) && is_real_matrix (nb) \
-          && rows (na) == p && rows (nb) == p && columns (nb) == m))
-    error ("arx: require na(%dx1) instead of (%dx%d) and nb(%dx%d) instead of (%dx%d)", \
-            p, rows (na), columns (na), p, m, rows (nb), columns (nb));
-  endif
-
-  max_nb = max (nb, [], 2);                         # one maximum for each row/output, max_nb(p-by-1)
-  n = max (na, max_nb);                             # n(p-by-1)
-
-  ## create empty cells for numerator and denominator polynomials
-  num = cell (p, m+p);
-  den = cell (p, m+p);
-
-  ## MIMO (p-by-m) models are identified as p MISO (1-by-m) models
-  ## For multi-experiment data, minimize the trace of the error
-  for i = 1 : p                                     # for every output
-    Phi = cell (ex, 1);                             # one regression matrix per experiment
-    for e = 1 : ex                                  # for every experiment  
-      ## avoid warning: toeplitz: column wins anti-diagonal conflict
-      ## therefore set first row element equal to y(1)
-      PhiY = toeplitz (Y{e}(1:end-1, i), [Y{e}(1, i); zeros(na(i)-1, 1)]);
-      ## create MISO Phi for every experiment
-      PhiU = arrayfun (@(x) toeplitz (U{e}(1:end-1, x), [U{e}(1, x); zeros(nb(i,x)-1, 1)]), 1:m, "uniformoutput", false);
-      Phi{e} = (horzcat (-PhiY, PhiU{:}))(n(i):end, :);
-    endfor
-
-    ## compute parameter vector Theta
-    Theta = __theta__ (Phi, Y, i, n);
-
-    ## extract polynomial matrices A and B from Theta
-    ## A is a scalar polynomial for output i, i=1:p
-    ## B is polynomial row vector (1-by-m) for output i
-    A = [1; Theta(1:na(i))];                                # a0 = 1, a1 = Theta(1), an = Theta(n)
-    ThetaB = Theta(na(i)+1:end);                            # all polynomials from B are in one column vector
-    B = mat2cell (ThetaB, nb(i,:));                         # now separate the polynomials, one for each input
-    B = reshape (B, 1, []);                                 # make B a row cell (1-by-m)
-    B = cellfun (@(x) [0; x], B, "uniformoutput", false);   # b0 = 0 (leading zero required by filt)
-
-    ## add error inputs
-    Be = repmat ({0}, 1, p);                                # there are as many error inputs as system outputs (p)
-    Be(i) = 1;                                              # inputs m+1:m+p are zero, except m+i which is one
-    num(i, :) = [B, Be];                                    # numerator polynomials for output i, individual for each input
-    den(i, :) = repmat ({A}, 1, m+p);                       # in a row (output i), all inputs have the same denominator polynomial
-  endfor
-
-  ## A(q) y(t) = B(q) u(t) + e(t)
-  ## there is only one A per row
-  ## B(z) and A(z) are a Matrix Fraction Description (MFD)
-  ## y = A^-1(q) B(q) u(t) + A^-1(q) e(t)
-  ## since A(q) is a diagonal polynomial matrix, its inverse is trivial:
-  ## the corresponding transfer function has common row denominators.
-
-  sys = filt (num, den, tsam);                              # filt creates a transfer function in z^-1
-
-  ## compute initial state vector x0 if requested
-  ## this makes only sense for state-space models, therefore convert TF to SS
-  if (nargout > 1)
-    sys = prescale (ss (sys(:,1:m)));
-    x0 = slib01cd (Y, U, sys.a, sys.b, sys.c, sys.d, 0.0);
-    ## return x0 as vector for single-experiment data
-    ## instead of a cell containing one vector
-    if (numel (x0) == 1)
-      x0 = x0{1};
-    endif
-    varargout{1} = x0;
-  endif
-
-endfunction
-
-
-%function theta = __theta__ (phi, y, i, n)
-function Theta = __theta__ (Phi, Y, i, n)
-
-    
-  if (numel (Phi) == 1)                             # single-experiment dataset
-    % recursive least-squares with efficient matrix inversion
-    [pr, pc] = size (Phi{1});
-    lambda = 1; % default 1
-    Theta = zeros (pc, 1);
-    P = 10 * eye (pc);
-    for t = 1 : pr
-      phi = Phi{1}(t,:);                            # note that my phi is Ljung's phi.'
-      y = Y{1}(t+n(i), :);
-      den = lambda + phi*P*phi.';
-      L = P * phi.' / den;
-      P = (P - (P * phi.' * phi * P) / den) / lambda;
-      Theta += L * (y - phi*Theta);
-    endfor
-%{
-    ## use "square-root algorithm"
-    A = horzcat (phi{1}, y{1}(n(i)+1:end, i));      # [Phi, Y]
-    R0 = triu (qr (A, 0));                          # 0 for economy-size R (without zero rows)
-    R1 = R0(1:end-1, 1:end-1);                      # R1 is triangular - can we exploit this in R1\R2?
-    R2 = R0(1:end-1, end);
-    theta = __ls_svd__ (R1, R2);                    # R1 \ R2
-    
-    ## Theta = Phi \ Y(n+1:end, :);                 # naive formula
-    ## theta = __ls_svd__ (phi{1}, y{1}(n(i)+1:end, i));
-%}
-  else                                              # multi-experiment dataset
-    ## TODO: find more sophisticated formula than
-    ## Theta = (Phi1' Phi + Phi2' Phi2 + ...) \ (Phi1' Y1 + Phi2' Y2 + ...)
-    
-    ## covariance matrix C = (Phi1' Phi + Phi2' Phi2 + ...)
-    tmp = cellfun (@(Phi) Phi.' * Phi, phi, "uniformoutput", false);
-    rc = cellfun (@rcond, tmp); # C auch noch testen? QR oder SVD?
-    C = plus (tmp{:});
-
-    ## PhiTY = (Phi1' Y1 + Phi2' Y2 + ...)
-    tmp = cellfun (@(Phi, Y) Phi.' * Y(n(i)+1:end, i), phi, y, "uniformoutput", false);
-    PhiTY = plus (tmp{:});
-    
-    ## pseudoinverse  Theta = C \ Phi'Y
-    theta = __ls_svd__ (C, PhiTY);
-  endif
-  
-endfunction
-
-
-function x = __ls_svd__ (A, b)
-
-  ## solve the problem Ax=b
-  ## x = A\b  would also work,
-  ## but this way we have better control and warnings
-
-  ## solve linear least squares problem by pseudoinverse
-  ## the pseudoinverse is computed by singular value decomposition
-  ## M = U S V*  --->  M+ = V S+ U*
-  ## Th = Ph \ Y = Ph+ Y
-  ## Th = V S+ U* Y,   S+ = 1 ./ diag (S)
-
-  [U, S, V] = svd (A, 0);                           # 0 for "economy size" decomposition
-  S = diag (S);                                     # extract main diagonal
-  r = sum (S > eps*S(1));
-  if (r < length (S))
-    warning ("arx: rank-deficient coefficient matrix");
-    warning ("sampling time too small");
-    warning ("persistence of excitation");
-  endif
-  V = V(:, 1:r);
-  S = S(1:r);
-  U = U(:, 1:r);
-  x = V * (S .\ (U' * b));                          # U' is the conjugate transpose
-
-endfunction
--- a/extra/control-devel/devel/subsref_problem.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,10 +0,0 @@
-DestillationME
-
-tsam = dat.tsam
-tsam{:}
-
-
-dat.tsam
-dat.tsam{:}     % only 1 times -1 instead of 4
-
-a(1:4) = tsam{:}
\ No newline at end of file
--- a/extra/control-devel/devel/test_arx.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,10 +0,0 @@
-u = [    0;   0.5;     1;     1;     1;     1;     1 ];
-y = [    0;     0;  0.25;  0.62;  0.81;  0.90;  0.95 ];
-
-dat = iddata (y, u)
-
-sys = arx (dat, 1, 1)
-
-
-ysim = lsim (sys(1,1), u);
-
--- a/extra/control-devel/devel/test_fitfrd.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,6 +0,0 @@
-sys = ss (-1, 1, 1, 0);
-n = 1;
-
-ret0 = fitfrd (sys, n)
-
-ret1 = fitfrd (sys, n, 1)
\ No newline at end of file
--- a/extra/control-devel/devel/test_frd2iddata.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,15 +0,0 @@
-sys = ss (-2,3,4,5)
-
-H = idfrd (sys)
-
-H.frequency
-H.responsedata
-
-
-dat = iddata (H)
-dat.y
-H.responsedata
-
-dat.u           % alles 1!
-dat.frequency
-H.frequency
\ No newline at end of file
--- a/extra/control-devel/devel/test_iddata.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,55 +0,0 @@
-dat = iddata ((1:10).', (21:30).')
-
-a = iddata ({(1:10).', (21:30).'}, {(31:40).', (41:50).'})
-
-b = iddata ({(1:10).', (21:30).'}, [])
-
-c = iddata ({(1:10).', (21:40).'}, {(31:40).', (41:60).'})
-
-x = c;
-%x.y = {}
-
-%x.u = []
-x.u = x.y
-
-d = iddata ({(1:10).', (21:25).'}, {(31:40).', (41:45).'})
-
-e = iddata ({(1:10).', (21:25).', (21:125).'}, {(31:40).', (41:45).', (41:145).'})
-
-
-oy = ones (200, 5);
-ou = ones (200, 4);
-y = repmat ({oy}, 6, 1);
-u = repmat ({ou}, 6, 1);
-
-f = iddata (y, u)
-%{
-f.expname = strseq ("experiment", 1:6)
-f.expname(2) = "value 1"
-f.expname{2} = "value 2"
-%}
-
-%cat (4, f, f, f)
-
-%cat (1, f, f)
-
-u = iddata ({(1:10).', (21:30).'}, {(41:50).', (61:70).'});
-v = iddata ({(11:20).', (31:40).'}, {(51:60).', (71:80).'});
-
-
-w = cat (1, u, v)
-
-cat (3, d, e)
-
-%cat (1, b, 4)
-
-
-un = iddata ({(1:10).', (21:30).'}, {(41:50).', (61:70).'}, [], "expname", strseq ("alpha", 1:2));
-vn = iddata ({(11:20).', (31:40).'}, {(51:60).', (71:80).'}, [], "expname", strseq ("beta", 1:2));
-n = [un; vn]
-cat (1, un)
-
-cat (1, un, un, vn, vn, vn)
-
-%dat = iddata (ones (100, 3));
-%dat2 = cat (1, dat, zeros (4, 3), dat)
--- a/extra/control-devel/inst/test_devel.m	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,48 +0,0 @@
-## Copyright (C) 2012   Lukas F. Reichlin
-##
-## This file is part of LTI Syncope.
-##
-## LTI Syncope is free software: you can redistribute it and/or modify
-## it under the terms of the GNU General Public License as published by
-## the Free Software Foundation, either version 3 of the License, or
-## (at your option) any later version.
-##
-## LTI Syncope is distributed in the hope that it will be useful,
-## but WITHOUT ANY WARRANTY; without even the implied warranty of
-## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-## GNU General Public License for more details.
-##
-## You should have received a copy of the GNU General Public License
-## along with LTI Syncope.  If not, see <http://www.gnu.org/licenses/>.
-
-## -*- texinfo -*-
-## @deftypefn {Script File} {} test_devel
-## Execute all available tests at once.
-## The Octave control-devel package is based on the @uref{http://www.slicot.org, SLICOT} library.
-## SLICOT needs a LAPACK library which is also a prerequisite for Octave itself.
-## In case of failing test, it is highly recommended to use
-## @uref{http://www.netlib.org/lapack/, Netlib's reference LAPACK}
-## for building Octave.  Using ATLAS may lead to sign changes
-## in some entries in the state-space matrices.
-## In general, these sign changes are not 'wrong' and can be regarded as
-## the result of state transformations.  Such state transformations
-## (but not input/output transformations) have no influence on the
-## input-output behaviour of the system.  For better numerics,
-## the control package uses such transformations by default when
-## calculating the frequency responses and a few other things.
-## However, arguments like the Hankel singular Values (HSV) must not change.
-## Differing HSVs and failing algorithms are known for using Framework Accelerate
-## from Mac OS X 10.7.
-## @end deftypefn
-
-## Author: Lukas Reichlin <lukas.reichlin@gmail.com>
-## Created: May 2010
-## Version: 0.1
-
-## identification
-test @iddata/iddata
-test @iddata/cat
-test @iddata/detrend
-test @iddata/fft
-
-test moen4
\ No newline at end of file
--- a/extra/control-devel/src/Makefile	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,34 +0,0 @@
-MKOCTFILE ?= mkoctfile
-
-ifndef LAPACK_LIBS
-LAPACK_LIBS := $(shell $(MKOCTFILE) -p LAPACK_LIBS)
-endif
-ifndef BLAS_LIBS
-BLAS_LIBS := $(shell $(MKOCTFILE) -p BLAS_LIBS)
-endif
-ifndef FLIBS
-FLIBS := $(shell $(MKOCTFILE) -p FLIBS)
-endif
-LFLAGS := $(shell $(MKOCTFILE) -p LFLAGS) $(LAPACK_LIBS) $(BLAS_LIBS) $(FLIBS)
-
-all: devel_slicot_functions.oct
-
-# unpack and compile SLICOT library
-slicotlibrary.a: slicot.tar.gz
-	tar -xzf slicot.tar.gz
-	mv slicot/src/*.f .
-	mv slicot/src_aux/*.f .
-	$(MKOCTFILE) -c *.f
-	ar -rc slicotlibrary.a *.o
-	rm -rf *.o *.f slicot
-
-# slicot functions
-devel_slicot_functions.oct: devel_slicot_functions.cc slicotlibrary.a
-	LFLAGS="$(LFLAGS)" \
-    $(MKOCTFILE) devel_slicot_functions.cc common.cc slicotlibrary.a
-
-clean:
-	rm -rf *.o core octave-core *.oct *~ *.f slicot
-
-realclean: clean
-	rm -rf *.a
\ No newline at end of file
--- a/extra/control-devel/src/common.cc	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,97 +0,0 @@
-/*
-
-Copyright (C) 2010, 2011   Lukas F. Reichlin
-
-This file is part of LTI Syncope.
-
-LTI Syncope is free software: you can redistribute it and/or modify
-it under the terms of the GNU General Public License as published by
-the Free Software Foundation, either version 3 of the License, or
-(at your option) any later version.
-
-LTI Syncope is distributed in the hope that it will be useful,
-but WITHOUT ANY WARRANTY; without even the implied warranty of
-MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-GNU General Public License for more details.
-
-You should have received a copy of the GNU General Public License
-along with LTI Syncope.  If not, see <http://www.gnu.org/licenses/>.
-
-Common code for oct-files.
-
-Author: Lukas Reichlin <lukas.reichlin@gmail.com>
-Created: April 2010
-Version: 0.3
-
-*/
-
-
-#include <octave/oct.h>
-
-int max (int a, int b)
-{
-    if (a > b)
-        return a;
-    else
-        return b;
-}
-
-int max (int a, int b, int c)
-{
-    return max (max (a, b), c);
-}
-
-int max (int a, int b, int c, int d)
-{    
-    return max (max (a, b), max (c, d));
-}
-
-int max (int a, int b, int c, int d, int e)
-{
-    return max (max (a, b, c, d), e);
-}
-
-int min (int a, int b)
-{
-    if (a < b)
-        return a;
-    else
-        return b;
-}
-
-void error_msg (const char name[], int index, int max, const char* msg[])
-{
-    if (index == 0)
-        return;
-
-    if (index < 0)
-        error ("%s: the %d-th argument had an invalid value", name, index);
-    else if (index <= max)
-        error ("%s: %s", name, msg[index]);
-    else
-        error ("%s: unknown error, info = %d", name, index);
-}
-
-void warning_msg (const char name[], int index, int max, const char* msg[])
-{
-    if (index == 0)
-        return;
-
-    if (index > 0 && index <= max)
-        warning ("%s: %s", name, msg[index]);
-    else
-        warning ("%s: unknown warning, iwarn = %d", name, index);
-}
-
-void warning_msg (const char name[], int index, int max, const char* msg[], int offset)
-{
-    if (index == 0)
-        return;
-
-    if (index > 0 && index <= max)
-        warning ("%s: %s", name, msg[index]);
-    else if (index > offset)
-        warning ("%s: %d+%d: %d %s", name, offset, index-offset, index-offset, msg[max+1]);
-    else
-        warning ("%s: unknown warning, iwarn = %d", name, index);
-}
--- a/extra/control-devel/src/common.h	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,40 +0,0 @@
-/*
-
-Copyright (C) 2012   Lukas F. Reichlin
-
-This file is part of LTI Syncope.
-
-LTI Syncope is free software: you can redistribute it and/or modify
-it under the terms of the GNU General Public License as published by
-the Free Software Foundation, either version 3 of the License, or
-(at your option) any later version.
-
-LTI Syncope is distributed in the hope that it will be useful,
-but WITHOUT ANY WARRANTY; without even the implied warranty of
-MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-GNU General Public License for more details.
-
-You should have received a copy of the GNU General Public License
-along with LTI Syncope.  If not, see <http://www.gnu.org/licenses/>.
-
-Common code for oct-files.
-
-Author: Lukas Reichlin <lukas.reichlin@gmail.com>
-Created: February 2012
-Version: 0.1
-
-*/
-
-#ifndef COMMON_H
-#define COMMON_H
-
-int max (int a, int b);
-int max (int a, int b, int c);
-int max (int a, int b, int c, int d);
-int max (int a, int b, int c, int d, int e);
-int min (int a, int b);
-void error_msg (const char name[], int index, int max, const char* msg[]);
-void warning_msg (const char name[], int index, int max, const char* msg[]);
-void warning_msg (const char name[], int index, int max, const char* msg[], int offset);
-
-#endif
--- a/extra/control-devel/src/devel_slicot_functions.cc	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,3 +0,0 @@
-#include "slident_a.cc"
-#include "slident_b.cc"
-#include "slident_c.cc"
\ No newline at end of file
--- a/extra/control-devel/src/readme	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,69 +0,0 @@
-SLICOT Library Root Directory
------------------------------
-
-SLICOT - Subroutine Library In COntrol Theory - is a general purpose basic
-mathematical library for control theoretical computations.  The library
-provides tools to perform essential system analysis and synthesis tasks.
-The main emphasis in SLICOT is on numerical reliability of implemented
-algorithms and the numerical robustness and efficiency of routines.
-Providing algorithmic flexibility and the use of rigorous implementation
-and documentation standards are other SLICOT features.
-
-The SLICOT Library is available as standard Fortran 77 code in double
-precision.  Each user-callable subroutine for control computations is
-accompanied by an example program which illustrates the use of the
-subroutine and can act as a template for the user's own routines.
-
-The SLICOT Library is organized by chapters, sections and subsections.
-The following chapters are currently included:
-
-A : Analysis Routines
-B : Benchmark and Test Problems
-D : Data Analysis
-F : Filtering
-I : Identification
-M : Mathematical Routines
-N : Nonlinear Systems
-    (not yet available, except for some auxiliary routines for Wiener systems)
-S : Synthesis Routines
-T : Transformation Routines
-U : Utility Routines
-
-SLICOT Library Root Directory contains few, basic files for the SLICOT Library
-distribution and generation.  When distributed, SLICOT software comes with
-several filled-in subdirectories (benchmark_data, doc, examples, examples77,
-src, and src_aux), and five files in this root
-directory:
-- this file, readme,
-- the file Installation.txt, describing the SLICOT software installation,
-- the main SLICOT Library documentation index, libindex.html, and
-- two template files for building the object library and executable programs,
-  make.inc and makefile,
-- GNU GENERAL PUBLIC LICENSE Version 2 text file.
-The last two files might need few changes for being adapted to the specific
-platform used.  Details about installing/updating the SLICOT software are
-given in the file Installation.txt.
-
-After software installation, this directory will also contain the library 
-file slicot.a or slicot.lib, for Unix or Windows platforms, respectively.
-The library file could then be linked in applications programs, as usual.
-Specific examples are contained in the directories examples and examples77.
-The on-line documentation of the SLICOT user's callable routines is
-accessible via the main SLICOT Library documentation index, libindex.html.
-This file also contains a link to the documentation of the lower-level,
-support routines.
-
-The SLICOT Library is built on LAPACK (Linear Algebra PACKage) and BLAS
-(Basic Linear Algebra Subprograms) collections.  Therefore, these
-packages should be available on the platform used.
-
-Basic References:
-
-1. P. Benner, V. Mehrmann, V. Sima, S. Van Huffel, and A. Varga,
-   "SLICOT - A Subroutine Library in Systems and Control Theory",
-   Applied and Computational Control, Signals, and Circuits
-   (Birkhauser), Vol. 1, Ch. 10, pp. 505-546, 1999.
-
-2. S. Van Huffel, V. Sima, A. Varga, S. Hammarling, and F. Delebecque,
-   "Development of High Performance Numerical Software for Control",
-   IEEE Control Systems Magazine, Vol. 24, Nr. 1, Feb., pp. 60-76, 2004.
Binary file extra/control-devel/src/slicot.tar.gz has changed
--- a/extra/control-devel/src/slident_a.cc	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,422 +0,0 @@
-/*
-
-Copyright (C) 2012   Lukas F. Reichlin
-
-This file is part of LTI Syncope.
-
-LTI Syncope is free software: you can redistribute it and/or modify
-it under the terms of the GNU General Public License as published by
-the Free Software Foundation, either version 3 of the License, or
-(at your option) any later version.
-
-LTI Syncope is distributed in the hope that it will be useful,
-but WITHOUT ANY WARRANTY; without even the implied warranty of
-MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-GNU General Public License for more details.
-
-You should have received a copy of the GNU General Public License
-along with LTI Syncope.  If not, see <http://www.gnu.org/licenses/>.
-
-SLICOT system identification
-Uses SLICOT IB01AD, IB01BD and IB01CD by courtesy of NICONET e.V.
-<http://www.slicot.org>
-
-Author: Lukas Reichlin <lukas.reichlin@gmail.com>
-Created: March 2012
-Version: 0.1
-
-*/
-
-#include <octave/oct.h>
-#include <f77-fcn.h>
-#include "common.h"
-
-extern "C"
-{ 
-    int F77_FUNC (ib01ad, IB01AD)
-                 (char& METH, char& ALG, char& JOBD,
-                  char& BATCH, char& CONCT, char& CTRL,
-                  int& NOBR, int& M, int& L,
-                  int& NSMP,
-                  double* U, int& LDU,
-                  double* Y, int& LDY,
-                  int& N,
-                  double* R, int& LDR,
-                  double* SV,
-                  double& RCOND, double& TOL,
-                  int* IWORK,
-                  double* DWORK, int& LDWORK,
-                  int& IWARN, int& INFO);
-
-    int F77_FUNC (ib01bd, IB01BD)
-                 (char& METH, char& JOB, char& JOBCK,
-                  int& NOBR, int& N, int& M, int& L,
-                  int& NSMPL,
-                  double* R, int& LDR,
-                  double* A, int& LDA,
-                  double* C, int& LDC,
-                  double* B, int& LDB,
-                  double* D, int& LDD,
-                  double* Q, int& LDQ,
-                  double* RY, int& LDRY,
-                  double* S, int& LDS,
-                  double* K, int& LDK,
-                  double& TOL,
-                  int* IWORK,
-                  double* DWORK, int& LDWORK,
-                  bool* BWORK,
-                  int& IWARN, int& INFO);
-
-    int F77_FUNC (ib01cd, IB01CD)
-                 (char& JOBX0, char& COMUSE, char& JOB,
-                  int& N, int& M, int& L,
-                  int& NSMP,
-                  double* A, int& LDA,
-                  double* B, int& LDB,
-                  double* C, int& LDC,
-                  double* D, int& LDD,
-                  double* U, int& LDU,
-                  double* Y, int& LDY,
-                  double* X0,
-                  double* V, int& LDV,
-                  double& TOL,
-                  int* IWORK,
-                  double* DWORK, int& LDWORK,
-                  int& IWARN, int& INFO);
-}
-
-// PKG_ADD: autoload ("slident_a", "devel_slicot_functions.oct");
-DEFUN_DLD (slident_a, args, nargout,
-   "-*- texinfo -*-\n\
-Slicot IB01AD Release 5.0\n\
-No argument checking.\n\
-For internal use only.")
-{
-    int nargin = args.length ();
-    octave_value_list retval;
-    
-    if (nargin != 12)
-    {
-        print_usage ();
-    }
-    else
-    {
-////////////////////////////////////////////////////////////////////////////////////
-//      SLICOT IB01AD - preprocess the input-output data                          //
-////////////////////////////////////////////////////////////////////////////////////
-
-        // arguments in
-        char meth;
-        char alg;
-        char jobd;
-        char batch;
-        char conct;
-        char ctrl;
-        char metha;
-        char jobda; // ??? unused
-        
-        Matrix y = args(0).matrix_value ();
-        Matrix u = args(1).matrix_value ();
-        int nobr = args(2).int_value ();
-        int nuser = args(3).int_value ();
-        
-        const int imeth = args(4).int_value ();
-        const int ialg = args(5).int_value ();
-        const int ijobd = args(6).int_value ();
-        const int ibatch = args(7).int_value ();
-        const int iconct = args(8).int_value ();
-        const int ictrl = args(9).int_value ();
-        
-        double rcond = args(10).double_value ();
-        double tol = args(11).double_value ();
-        double tolb = args(10).double_value ();      // tolb = rcond
-
-            
-        switch (imeth)
-        {
-            case 0:
-                meth = 'M';
-                metha = 'M';
-                break;
-            case 1:
-                meth = 'N';
-                metha = 'N';
-                break;
-            case 2:
-                meth = 'C';
-                metha = 'N';    // no typo here
-                break;
-            default:
-                error ("slib01ad: argument 'meth' invalid");
-        }
-
-        switch (ialg)
-        {
-            case 0:
-                alg = 'C';
-                break;
-            case 1:
-                alg = 'F';
-                break;
-            case 2:
-                alg = 'Q';
-                break;
-            default:
-                error ("slib01ad: argument 'alg' invalid");
-        }
-        
-        if (meth == 'C')
-            jobd = 'N';
-        else if (ijobd == 0)
-            jobd = 'M';
-        else
-            jobd = 'N';
-        
-        switch (ibatch)
-        {
-            case 0:
-                batch = 'F';
-                break;
-            case 1:
-                batch = 'I';
-                break;
-            case 2:
-                batch = 'L';
-                break;
-            case 3:
-                batch = 'O';
-                break;
-            default:
-                error ("slib01ad: argument 'batch' invalid");
-        }
-
-        if (iconct == 0)
-            conct = 'C';
-        else
-            conct = 'N';
-
-        if (ictrl == 0)
-            ctrl = 'C';
-        else
-            ctrl = 'N';
-
-
-        int m = u.columns ();   // m: number of inputs
-        int l = y.columns ();   // l: number of outputs
-        int nsmp = y.rows ();   // nsmp: number of samples
-        // y.rows == u.rows  is checked by iddata class
-        // TODO: check minimal nsmp size
-        
-        if (batch == 'O')
-        {
-            if (nsmp < 2*(m+l+1)*nobr - 1)
-                error ("slident: require NSMP >= 2*(M+L+1)*NOBR - 1");
-        }
-        else
-        {
-            if (nsmp < 2*nobr)
-                error ("slident: require NSMP >= 2*NOBR");
-        }
-        
-        int ldu;
-        
-        if (m == 0)
-            ldu = 1;
-        else                    // m > 0
-            ldu = nsmp;
-
-        int ldy = nsmp;
-
-        // arguments out
-        int n;
-        int ldr;
-        
-        if (metha == 'M' && jobd == 'M')
-            ldr = max (2*(m+l)*nobr, 3*m*nobr);
-        else if (metha == 'N' || (metha == 'M' && jobd == 'N'))
-            ldr = 2*(m+l)*nobr;
-        else
-            error ("slib01ad: could not handle 'ldr' case");
-        
-        Matrix r (ldr, 2*(m+l)*nobr);
-        ColumnVector sv (l*nobr);
-
-        // workspace
-        int liwork;
-
-        if (metha == 'N')            // if METH = 'N'
-            liwork = (m+l)*nobr;
-        else if (alg == 'F')        // if METH = 'M' and ALG = 'F'
-            liwork = m+l;
-        else                        // if METH = 'M' and ALG = 'C' or 'Q'
-            liwork = 0;
-
-        // TODO: Handle 'k' for DWORK
-
-        int ldwork;
-        int ns = nsmp - 2*nobr + 1;
-        
-        if (alg == 'C')
-        {
-            if (batch == 'F' || batch == 'I')
-            {
-                if (conct == 'C')
-                    ldwork = (4*nobr-2)*(m+l);
-                else    // (conct == 'N')
-                    ldwork = 1;
-            }
-            else if (metha == 'M')   // && (batch == 'L' || batch == 'O')
-            {
-                if (conct == 'C' && batch == 'L')
-                    ldwork = max ((4*nobr-2)*(m+l), 5*l*nobr);
-                else if (jobd == 'M')
-                    ldwork = max ((2*m-1)*nobr, (m+l)*nobr, 5*l*nobr);
-                else    // (jobd == 'N')
-                    ldwork = 5*l*nobr;
-            }
-            else    // meth == 'N' && (batch == 'L' || batch == 'O')
-            {
-                ldwork = 5*(m+l)*nobr + 1;
-            }
-        }
-        else if (alg == 'F')
-        {
-            if (batch != 'O' && conct == 'C')
-                ldwork = (m+l)*2*nobr*(m+l+3);
-            else if (batch == 'F' || batch == 'I')  // && conct == 'N'
-                ldwork = (m+l)*2*nobr*(m+l+1);
-            else    // (batch == 'L' || '0' && conct == 'N')
-                ldwork = (m+l)*4*nobr*(m+l+1)+(m+l)*2*nobr;
-        }
-        else    // (alg == 'Q')
-        {
-            // int ns = nsmp - 2*nobr + 1;
-            
-            if (ldr >= ns && batch == 'F')
-            {
-                ldwork = 4*(m+l)*nobr;
-            }
-            else if (ldr >= ns && batch == 'O')
-            {
-                if (metha == 'M')
-                    ldwork = max (4*(m+l)*nobr, 5*l*nobr);
-                else    // (meth == 'N')
-                    ldwork = 5*(m+l)*nobr + 1;
-            }
-            else if (conct == 'C' && (batch == 'I' || batch == 'L'))
-            {
-                ldwork = 4*(nobr+1)*(m+l)*nobr;
-            }
-            else    // if ALG = 'Q', (BATCH = 'F' or 'O', and LDR < NS), or (BATCH = 'I' or 'L' and CONCT = 'N')
-            {
-                ldwork = 6*(m+l)*nobr;
-            }
-        }
-
-/*
-IB01AD.f Lines 438-445
-C     FURTHER COMMENTS
-C
-C     For ALG = 'Q', BATCH = 'O' and LDR < NS, or BATCH <> 'O', the
-C     calculations could be rather inefficient if only minimal workspace
-C     (see argument LDWORK) is provided. It is advisable to provide as
-C     much workspace as possible. Almost optimal efficiency can be
-C     obtained for  LDWORK = (NS+2)*(2*(M+L)*NOBR),  assuming that the
-C     cache size is large enough to accommodate R, U, Y, and DWORK.
-*/
-
-// warning ("==================== ldwork before: %d =====================", ldwork);
-// ldwork = (ns+2)*(2*(m+l)*nobr);
-ldwork = max (ldwork, (ns+2)*(2*(m+l)*nobr));
-// ldwork *= 3;
-// warning ("==================== ldwork after: %d =====================", ldwork);
-
-
-/*
-IB01AD.f Lines 291-195:
-c             the workspace used for alg = 'q' is
-c                       ldrwrk*2*(m+l)*nobr + 4*(m+l)*nobr,
-c             where ldrwrk = ldwork/(2*(m+l)*nobr) - 2; recommended
-c             value ldrwrk = ns, assuming a large enough cache size.
-c             for good performance,  ldwork  should be larger.
-
-somehow ldrwrk and ldwork must have been mixed up here
-
-*/
-
-
-        OCTAVE_LOCAL_BUFFER (int, iwork, liwork);
-        OCTAVE_LOCAL_BUFFER (double, dwork, ldwork);
-        
-        // error indicators
-        int iwarn = 0;
-        int info = 0;
-
-
-        // SLICOT routine IB01AD
-        F77_XFCN (ib01ad, IB01AD,
-                 (metha, alg, jobd,
-                  batch, conct, ctrl,
-                  nobr, m, l,
-                  nsmp,
-                  u.fortran_vec (), ldu,
-                  y.fortran_vec (), ldy,
-                  n,
-                  r.fortran_vec (), ldr,
-                  sv.fortran_vec (),
-                  rcond, tol,
-                  iwork,
-                  dwork, ldwork,
-                  iwarn, info));
-
-
-        if (f77_exception_encountered)
-            error ("ident: exception in SLICOT subroutine IB01AD");
-
-        static const char* err_msg[] = {
-            "0: OK",
-            "1: a fast algorithm was requested (ALG = 'C', or 'F') "
-                "in sequential data processing, but it failed; the "
-                "routine can be repeatedly called again using the "
-                "standard QR algorithm",
-            "2: the singular value decomposition (SVD) algorithm did "
-                "not converge"};
-
-        static const char* warn_msg[] = {
-            "0: OK",
-            "1: the number of 100 cycles in sequential data "
-                "processing has been exhausted without signaling "
-                "that the last block of data was get; the cycle "
-                "counter was reinitialized",
-            "2: a fast algorithm was requested (ALG = 'C' or 'F'), "
-                "but it failed, and the QR algorithm was then used "
-                "(non-sequential data processing)",
-            "3: all singular values were exactly zero, hence  N = 0 "
-                "(both input and output were identically zero)",
-            "4: the least squares problems with coefficient matrix "
-                "U_f,  used for computing the weighted oblique "
-                "projection (for METH = 'N'), have a rank-deficient "
-                "coefficient matrix",
-            "5: the least squares problem with coefficient matrix "
-                "r_1  [6], used for computing the weighted oblique "
-                "projection (for METH = 'N'), has a rank-deficient "
-                "coefficient matrix"};
-
-
-        error_msg ("ident", info, 2, err_msg);
-        warning_msg ("ident", iwarn, 5, warn_msg);
-
-
-        // resize
-        int rs = 2*(m+l)*nobr;
-        r.resize (rs, rs);
-        
-        
-        // return values
-        retval(0) = r;
-        retval(1) = sv;
-        retval(2) = octave_value (n);
-    }
-    
-    return retval;
-}
--- a/extra/control-devel/src/slident_b.cc	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,669 +0,0 @@
-/*
-
-Copyright (C) 2012   Lukas F. Reichlin
-
-This file is part of LTI Syncope.
-
-LTI Syncope is free software: you can redistribute it and/or modify
-it under the terms of the GNU General Public License as published by
-the Free Software Foundation, either version 3 of the License, or
-(at your option) any later version.
-
-LTI Syncope is distributed in the hope that it will be useful,
-but WITHOUT ANY WARRANTY; without even the implied warranty of
-MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-GNU General Public License for more details.
-
-You should have received a copy of the GNU General Public License
-along with LTI Syncope.  If not, see <http://www.gnu.org/licenses/>.
-
-SLICOT system identification
-Uses SLICOT IB01AD, IB01BD and IB01CD by courtesy of NICONET e.V.
-<http://www.slicot.org>
-
-Author: Lukas Reichlin <lukas.reichlin@gmail.com>
-Created: March 2012
-Version: 0.1
-
-*/
-
-#include <octave/oct.h>
-#include <f77-fcn.h>
-#include "common.h"
-
-extern "C"
-{ 
-    int F77_FUNC (ib01ad, IB01AD)
-                 (char& METH, char& ALG, char& JOBD,
-                  char& BATCH, char& CONCT, char& CTRL,
-                  int& NOBR, int& M, int& L,
-                  int& NSMP,
-                  double* U, int& LDU,
-                  double* Y, int& LDY,
-                  int& N,
-                  double* R, int& LDR,
-                  double* SV,
-                  double& RCOND, double& TOL,
-                  int* IWORK,
-                  double* DWORK, int& LDWORK,
-                  int& IWARN, int& INFO);
-
-    int F77_FUNC (ib01bd, IB01BD)
-                 (char& METH, char& JOB, char& JOBCK,
-                  int& NOBR, int& N, int& M, int& L,
-                  int& NSMPL,
-                  double* R, int& LDR,
-                  double* A, int& LDA,
-                  double* C, int& LDC,
-                  double* B, int& LDB,
-                  double* D, int& LDD,
-                  double* Q, int& LDQ,
-                  double* RY, int& LDRY,
-                  double* S, int& LDS,
-                  double* K, int& LDK,
-                  double& TOL,
-                  int* IWORK,
-                  double* DWORK, int& LDWORK,
-                  bool* BWORK,
-                  int& IWARN, int& INFO);
-
-    int F77_FUNC (ib01cd, IB01CD)
-                 (char& JOBX0, char& COMUSE, char& JOB,
-                  int& N, int& M, int& L,
-                  int& NSMP,
-                  double* A, int& LDA,
-                  double* B, int& LDB,
-                  double* C, int& LDC,
-                  double* D, int& LDD,
-                  double* U, int& LDU,
-                  double* Y, int& LDY,
-                  double* X0,
-                  double* V, int& LDV,
-                  double& TOL,
-                  int* IWORK,
-                  double* DWORK, int& LDWORK,
-                  int& IWARN, int& INFO);
-}
-
-// PKG_ADD: autoload ("slident_b", "devel_slicot_functions.oct");
-DEFUN_DLD (slident_b, args, nargout,
-   "-*- texinfo -*-\n\
-Slicot IB01AD Release 5.0\n\
-No argument checking.\n\
-For internal use only.")
-{
-    int nargin = args.length ();
-    octave_value_list retval;
-    
-    if (nargin != 15)
-    {
-        print_usage ();
-    }
-    else
-    {
-////////////////////////////////////////////////////////////////////////////////////
-//      SLICOT IB01AD - preprocess the input-output data                          //
-////////////////////////////////////////////////////////////////////////////////////
-
-        // arguments in
-        char meth;
-        char alg;
-        char jobd;
-        char batch;
-        char conct;
-        char ctrl;
-        char metha;
-        char jobda; // ??? unused
-        
-        Matrix y = args(0).matrix_value ();
-        Matrix u = args(1).matrix_value ();
-        int nobr = args(2).int_value ();
-        int nuser = args(3).int_value ();
-        
-        const int imeth = args(4).int_value ();
-        const int ialg = args(5).int_value ();
-        const int ijobd = args(6).int_value ();
-        const int ibatch = args(7).int_value ();
-        const int iconct = args(8).int_value ();
-        const int ictrl = args(9).int_value ();
-        
-        double rcond = args(10).double_value ();
-        double tol = args(11).double_value ();
-        double tolb = args(10).double_value ();      // tolb = rcond
-
-        Matrix r = args(12).matrix_value ();
-        Matrix sv = args(13).matrix_value ();
-        int n = args(14).int_value ();
-        
-            
-        switch (imeth)
-        {
-            case 0:
-                meth = 'M';
-                metha = 'M';
-                break;
-            case 1:
-                meth = 'N';
-                metha = 'N';
-                break;
-            case 2:
-                meth = 'C';
-                metha = 'N';    // no typo here
-                break;
-            default:
-                error ("slib01ad: argument 'meth' invalid");
-        }
-
-        switch (ialg)
-        {
-            case 0:
-                alg = 'C';
-                break;
-            case 1:
-                alg = 'F';
-                break;
-            case 2:
-                alg = 'Q';
-                break;
-            default:
-                error ("slib01ad: argument 'alg' invalid");
-        }
-        
-        if (meth == 'C')
-            jobd = 'N';
-        else if (ijobd == 0)
-            jobd = 'M';
-        else
-            jobd = 'N';
-        
-        switch (ibatch)
-        {
-            case 0:
-                batch = 'F';
-                break;
-            case 1:
-                batch = 'I';
-                break;
-            case 2:
-                batch = 'L';
-                break;
-            case 3:
-                batch = 'O';
-                break;
-            default:
-                error ("slib01ad: argument 'batch' invalid");
-        }
-
-        if (iconct == 0)
-            conct = 'C';
-        else
-            conct = 'N';
-
-        if (ictrl == 0)
-            ctrl = 'C';
-        else
-            ctrl = 'N';
-
-
-        int m = u.columns ();   // m: number of inputs
-        int l = y.columns ();   // l: number of outputs
-        int nsmp = y.rows ();   // nsmp: number of samples
-        // y.rows == u.rows  is checked by iddata class
-        // TODO: check minimal nsmp size
-        
-        if (batch == 'O')
-        {
-            if (nsmp < 2*(m+l+1)*nobr - 1)
-                error ("slident: require NSMP >= 2*(M+L+1)*NOBR - 1");
-        }
-        else
-        {
-            if (nsmp < 2*nobr)
-                error ("slident: require NSMP >= 2*NOBR");
-        }
-        
-        int ldu;
-        
-        if (m == 0)
-            ldu = 1;
-        else                    // m > 0
-            ldu = nsmp;
-
-        int ldy = nsmp;
-
-        // arguments out
-        //int n;
-        int ldr;
-        
-        if (metha == 'M' && jobd == 'M')
-            ldr = max (2*(m+l)*nobr, 3*m*nobr);
-        else if (metha == 'N' || (metha == 'M' && jobd == 'N'))
-            ldr = 2*(m+l)*nobr;
-        else
-            error ("slib01ad: could not handle 'ldr' case");
-        
-        //Matrix r (ldr, 2*(m+l)*nobr);
-        //ColumnVector sv (l*nobr);
-
-        // workspace
-        int liwork;
-
-        if (metha == 'N')            // if METH = 'N'
-            liwork = (m+l)*nobr;
-        else if (alg == 'F')        // if METH = 'M' and ALG = 'F'
-            liwork = m+l;
-        else                        // if METH = 'M' and ALG = 'C' or 'Q'
-            liwork = 0;
-
-        // TODO: Handle 'k' for DWORK
-
-        int ldwork;
-        int ns = nsmp - 2*nobr + 1;
-        
-        if (alg == 'C')
-        {
-            if (batch == 'F' || batch == 'I')
-            {
-                if (conct == 'C')
-                    ldwork = (4*nobr-2)*(m+l);
-                else    // (conct == 'N')
-                    ldwork = 1;
-            }
-            else if (metha == 'M')   // && (batch == 'L' || batch == 'O')
-            {
-                if (conct == 'C' && batch == 'L')
-                    ldwork = max ((4*nobr-2)*(m+l), 5*l*nobr);
-                else if (jobd == 'M')
-                    ldwork = max ((2*m-1)*nobr, (m+l)*nobr, 5*l*nobr);
-                else    // (jobd == 'N')
-                    ldwork = 5*l*nobr;
-            }
-            else    // meth == 'N' && (batch == 'L' || batch == 'O')
-            {
-                ldwork = 5*(m+l)*nobr + 1;
-            }
-        }
-        else if (alg == 'F')
-        {
-            if (batch != 'O' && conct == 'C')
-                ldwork = (m+l)*2*nobr*(m+l+3);
-            else if (batch == 'F' || batch == 'I')  // && conct == 'N'
-                ldwork = (m+l)*2*nobr*(m+l+1);
-            else    // (batch == 'L' || '0' && conct == 'N')
-                ldwork = (m+l)*4*nobr*(m+l+1)+(m+l)*2*nobr;
-        }
-        else    // (alg == 'Q')
-        {
-            // int ns = nsmp - 2*nobr + 1;
-            
-            if (ldr >= ns && batch == 'F')
-            {
-                ldwork = 4*(m+l)*nobr;
-            }
-            else if (ldr >= ns && batch == 'O')
-            {
-                if (metha == 'M')
-                    ldwork = max (4*(m+l)*nobr, 5*l*nobr);
-                else    // (meth == 'N')
-                    ldwork = 5*(m+l)*nobr + 1;
-            }
-            else if (conct == 'C' && (batch == 'I' || batch == 'L'))
-            {
-                ldwork = 4*(nobr+1)*(m+l)*nobr;
-            }
-            else    // if ALG = 'Q', (BATCH = 'F' or 'O', and LDR < NS), or (BATCH = 'I' or 'L' and CONCT = 'N')
-            {
-                ldwork = 6*(m+l)*nobr;
-            }
-        }
-
-/*
-IB01AD.f Lines 438-445
-C     FURTHER COMMENTS
-C
-C     For ALG = 'Q', BATCH = 'O' and LDR < NS, or BATCH <> 'O', the
-C     calculations could be rather inefficient if only minimal workspace
-C     (see argument LDWORK) is provided. It is advisable to provide as
-C     much workspace as possible. Almost optimal efficiency can be
-C     obtained for  LDWORK = (NS+2)*(2*(M+L)*NOBR),  assuming that the
-C     cache size is large enough to accommodate R, U, Y, and DWORK.
-*/
-
-// warning ("==================== ldwork before: %d =====================", ldwork);
-// ldwork = (ns+2)*(2*(m+l)*nobr);
-ldwork = max (ldwork, (ns+2)*(2*(m+l)*nobr));
-// ldwork *= 3;
-// warning ("==================== ldwork after: %d =====================", ldwork);
-
-
-/*
-IB01AD.f Lines 291-195:
-c             the workspace used for alg = 'q' is
-c                       ldrwrk*2*(m+l)*nobr + 4*(m+l)*nobr,
-c             where ldrwrk = ldwork/(2*(m+l)*nobr) - 2; recommended
-c             value ldrwrk = ns, assuming a large enough cache size.
-c             for good performance,  ldwork  should be larger.
-
-somehow ldrwrk and ldwork must have been mixed up here
-
-*/
-
-#if 0
-        OCTAVE_LOCAL_BUFFER (int, iwork, liwork);
-        OCTAVE_LOCAL_BUFFER (double, dwork, ldwork);
-        
-        // error indicators
-        int iwarn = 0;
-        int info = 0;
-
-
-        // SLICOT routine IB01AD
-        F77_XFCN (ib01ad, IB01AD,
-                 (metha, alg, jobd,
-                  batch, conct, ctrl,
-                  nobr, m, l,
-                  nsmp,
-                  u.fortran_vec (), ldu,
-                  y.fortran_vec (), ldy,
-                  n,
-                  r.fortran_vec (), ldr,
-                  sv.fortran_vec (),
-                  rcond, tol,
-                  iwork,
-                  dwork, ldwork,
-                  iwarn, info));
-
-
-        if (f77_exception_encountered)
-            error ("ident: exception in SLICOT subroutine IB01AD");
-
-        static const char* err_msg[] = {
-            "0: OK",
-            "1: a fast algorithm was requested (ALG = 'C', or 'F') "
-                "in sequential data processing, but it failed; the "
-                "routine can be repeatedly called again using the "
-                "standard QR algorithm",
-            "2: the singular value decomposition (SVD) algorithm did "
-                "not converge"};
-
-        static const char* warn_msg[] = {
-            "0: OK",
-            "1: the number of 100 cycles in sequential data "
-                "processing has been exhausted without signaling "
-                "that the last block of data was get; the cycle "
-                "counter was reinitialized",
-            "2: a fast algorithm was requested (ALG = 'C' or 'F'), "
-                "but it failed, and the QR algorithm was then used "
-                "(non-sequential data processing)",
-            "3: all singular values were exactly zero, hence  N = 0 "
-                "(both input and output were identically zero)",
-            "4: the least squares problems with coefficient matrix "
-                "U_f,  used for computing the weighted oblique "
-                "projection (for METH = 'N'), have a rank-deficient "
-                "coefficient matrix",
-            "5: the least squares problem with coefficient matrix "
-                "r_1  [6], used for computing the weighted oblique "
-                "projection (for METH = 'N'), has a rank-deficient "
-                "coefficient matrix"};
-
-
-        error_msg ("ident", info, 2, err_msg);
-        warning_msg ("ident", iwarn, 5, warn_msg);
-
-
-        // resize
-        int rs = 2*(m+l)*nobr;
-        r.resize (rs, rs);
-        
-        if (nuser > 0)
-        {
-            if (nuser < nobr)
-            {
-                n = nuser;
-                // warning ("ident: nuser (%d) < nobr (%d), n = nuser", nuser, nobr);
-            }
-            else
-                error ("ident: 'nuser' invalid");
-        }
-#endif        
-////////////////////////////////////////////////////////////////////////////////////
-//      SLICOT IB01BD - estimating system matrices, Kalman gain, and covariances  //
-////////////////////////////////////////////////////////////////////////////////////
-
-        // arguments in
-        char job = 'A';
-        char jobck = 'K';
-        
-        // TODO: if meth == 'C', which meth should be taken for IB01AD.f, 'M' or 'N'?
-
-        int nsmpl = nsmp;
-        
-        if (nsmpl < 2*(m+l)*nobr)
-            error ("slident: nsmpl (%d) < 2*(m+l)*nobr (%d)", nsmpl, nobr);
-        
-        // arguments out
-        int lda = max (1, n);
-        int ldc = max (1, l);
-        int ldb = max (1, n);
-        int ldd = max (1, l);
-        int ldq = n;            // if JOBCK = 'C' or 'K'
-        int ldry = l;           // if JOBCK = 'C' or 'K'
-        int lds = n;            // if JOBCK = 'C' or 'K'
-        int ldk = n;            // if JOBCK = 'K'
-        
-        Matrix a (lda, n);
-        Matrix c (ldc, n);
-        Matrix b (ldb, m);
-        Matrix d (ldd, m);
-        
-        Matrix q (ldq, n);
-        Matrix ry (ldry, l);
-        Matrix s (lds, l);
-        Matrix k (ldk, l);
-        
-        // workspace
-        int liwork_b;
-        int liw1;
-        int liw2;
-        
-        liw1 = max (n, m*nobr+n, l*nobr, m*(n+l));
-        liw2 = n*n;     // if JOBCK =  'K'
-        liwork_b = max (liw1, liw2);
-
-        int ldwork_b;
-        int ldw1;
-        int ldw2;
-        int ldw3;
-/*        
-        if (meth == 'M')
-        {
-            int ldw1a = max (2*(l*nobr-l)*n+2*n, (l*nobr-l)*n+n*n+7*n);
-            int ldw1b = max (2*(l*nobr-l)*n+n*n+7*n,
-                             (l*nobr-l)*n+n+6*m*nobr,
-                             (l*nobr-l)*n+n+max (l+m*nobr, l*nobr + max (3*l*nobr+1, m)));
-            ldw1 = max (ldw1a, ldw1b);
-            
-            int aw;
-            
-            if (m == 0 || job == 'C')
-                aw = n + n*n;
-            else
-                aw = 0;
-            
-            ldw2 = l*nobr*n + max ((l*nobr-l)*n+aw+2*n+max(5*n,(2*m+l)*nobr+l), 4*(m*nobr+n)+1, m*nobr+2*n+l );
-        }
-        else if (meth == 'N')
-        {
-            ldw1 = l*nobr*n + max ((l*nobr-l)*n+2*n+(2*m+l)*nobr+l,
-                                   2*(l*nobr-l)*n+n*n+8*n,
-                                   n+4*(m*nobr+n)+1,
-                                   m*nobr+3*n+l);
-                                   
-            if (m == 0 || job == 'C')
-                ldw2 = 0;
-            else
-                ldw2 = l*nobr*n+m*nobr*(n+l)*(m*(n+l)+1)+ max ((n+l)*(n+l), 4*m*(n+l)+1);
-
-        }
-        else    // (meth == 'C')
-        {
-            int ldw1a = max (2*(l*nobr-l)*n+2*n, (l*nobr-l)*n+n*n+7*n);
-            int ldw1b = l*nobr*n + max ((l*nobr-l)*n+2*n+(2*m+l)*nobr+l,
-                                        2*(l*nobr-l)*n+n*n+8*n,
-                                        n+4*(m*nobr+n)+1,
-                                        m*nobr+3*n+l);
-                                        
-            ldw1 = max (ldw1a, ldw1b);
-                                        
-            ldw2 = l*nobr*n+m*nobr*(n+l)*(m*(n+l)+1)+ max ((n+l)*(n+l), 4*m*(n+l)+1);
-
-        }
-*/
-
-            int ldw1ax = max (2*(l*nobr-l)*n+2*n, (l*nobr-l)*n+n*n+7*n);
-            int ldw1bx = max (2*(l*nobr-l)*n+n*n+7*n,
-                             (l*nobr-l)*n+n+6*m*nobr,
-                             (l*nobr-l)*n+n+max (l+m*nobr, l*nobr + max (3*l*nobr+1, m)));
-            int ldw1x = max (ldw1ax, ldw1bx);
-            
-            int aw;
-            
-            if (m == 0 || job == 'C')
-                aw = n + n*n;
-            else
-                aw = 0;
-            
-            int ldw2x = l*nobr*n + max ((l*nobr-l)*n+aw+2*n+max(5*n,(2*m+l)*nobr+l), 4*(m*nobr+n)+1, m*nobr+2*n+l );
-
-
-
-            int ldw1y = l*nobr*n + max ((l*nobr-l)*n+2*n+(2*m+l)*nobr+l,
-                                   2*(l*nobr-l)*n+n*n+8*n,
-                                   n+4*(m*nobr+n)+1,
-                                   m*nobr+3*n+l);
-                int ldw2y;                   
-            if (m == 0 || job == 'C')
-                int ldw2y = 0;
-            else
-                int ldw2y = l*nobr*n+m*nobr*(n+l)*(m*(n+l)+1)+ max ((n+l)*(n+l), 4*m*(n+l)+1);
-
-
-            int ldw1az = max (2*(l*nobr-l)*n+2*n, (l*nobr-l)*n+n*n+7*n);
-            int ldw1bz = l*nobr*n + max ((l*nobr-l)*n+2*n+(2*m+l)*nobr+l,
-                                        2*(l*nobr-l)*n+n*n+8*n,
-                                        n+4*(m*nobr+n)+1,
-                                        m*nobr+3*n+l);
-                                        
-            int ldw1z = max (ldw1az, ldw1bz);
-                                        
-            int ldw2z = l*nobr*n+m*nobr*(n+l)*(m*(n+l)+1)+ max ((n+l)*(n+l), 4*m*(n+l)+1);
-
-
-        ldw1 = max (ldw1x, ldw1y, ldw1z);
-        ldw2 = max (ldw2x, ldw2y, ldw2z);
-
-
-            
-        ldw3 = max(4*n*n + 2*n*l + l*l + max (3*l, n*l), 14*n*n + 12*n + 5);
-        ldwork_b = max (ldw1, ldw2, ldw3);
-        
-        //
-        ldwork_b *= 3;
-
-        OCTAVE_LOCAL_BUFFER (int, iwork_b, liwork_b);
-        OCTAVE_LOCAL_BUFFER (double, dwork_b, ldwork_b);
-        OCTAVE_LOCAL_BUFFER (bool, bwork, 2*n);
-
-
-        // error indicators
-        int iwarn_b = 0;
-        int info_b = 0;
-
-
-        // SLICOT routine IB01BD
-        F77_XFCN (ib01bd, IB01BD,
-                 (meth, job, jobck,
-                  nobr, n, m, l,
-                  nsmpl,
-                  r.fortran_vec (), ldr,
-                  a.fortran_vec (), lda,
-                  c.fortran_vec (), ldc,
-                  b.fortran_vec (), ldb,
-                  d.fortran_vec (), ldd,
-                  q.fortran_vec (), ldq,
-                  ry.fortran_vec (), ldry,
-                  s.fortran_vec (), lds,
-                  k.fortran_vec (), ldk,
-                  tolb,
-                  iwork_b,
-                  dwork_b, ldwork_b,
-                  bwork,
-                  iwarn_b, info_b));
-
-
-        if (f77_exception_encountered)
-            error ("ident: exception in SLICOT subroutine IB01BD");
-
-        static const char* err_msg_b[] = {
-            "0: OK",
-            "1: error message not specified",
-            "2: the singular value decomposition (SVD) algorithm did "
-                "not converge",
-            "3: a singular upper triangular matrix was found",
-            "4: matrix A is (numerically) singular in discrete-"
-                "time case",
-            "5: the Hamiltonian or symplectic matrix H cannot be "
-                "reduced to real Schur form",
-            "6: the real Schur form of the Hamiltonian or "
-                "symplectic matrix H cannot be appropriately ordered",
-            "7: the Hamiltonian or symplectic matrix H has less "
-                "than N stable eigenvalues",
-            "8: the N-th order system of linear algebraic "
-                "equations, from which the solution matrix X would "
-                "be obtained, is singular to working precision",
-            "9: the QR algorithm failed to complete the reduction "
-                "of the matrix Ac to Schur canonical form, T",
-            "10: the QR algorithm did not converge"};
-
-        static const char* warn_msg_b[] = {
-            "0: OK",
-            "1: warning message not specified",
-            "2: warning message not specified",
-            "3: warning message not specified",
-            "4: a least squares problem to be solved has a "
-                "rank-deficient coefficient matrix",
-            "5: the computed covariance matrices are too small. "
-                "The problem seems to be a deterministic one; the "
-                "gain matrix is set to zero"};
-
-
-        error_msg ("ident", info_b, 10, err_msg_b);
-        warning_msg ("ident", iwarn_b, 5, warn_msg_b);
-
-        // resize
-        a.resize (n, n);
-        c.resize (l, n);
-        b.resize (n, m);
-        d.resize (l, m);
-        
-        q.resize (n, n);
-        ry.resize (l, l);
-        s.resize (n, l);
-        k.resize (n, l);
-
-      
-        
-        // return values
-        retval(0) = a;
-        retval(1) = b;
-        retval(2) = c;
-        retval(3) = d;
-        
-        retval(4) = q;
-        retval(5) = ry;
-        retval(6) = s;
-        retval(7) = k;
-    }
-    
-    return retval;
-}
--- a/extra/control-devel/src/slident_c.cc	Sat Mar 09 19:12:03 2013 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,473 +0,0 @@
-/*
-
-Copyright (C) 2012   Lukas F. Reichlin
-
-This file is part of LTI Syncope.
-
-LTI Syncope is free software: you can redistribute it and/or modify
-it under the terms of the GNU General Public License as published by
-the Free Software Foundation, either version 3 of the License, or
-(at your option) any later version.
-
-LTI Syncope is distributed in the hope that it will be useful,
-but WITHOUT ANY WARRANTY; without even the implied warranty of
-MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-GNU General Public License for more details.
-
-You should have received a copy of the GNU General Public License
-along with LTI Syncope.  If not, see <http://www.gnu.org/licenses/>.
-
-SLICOT system identification
-Uses SLICOT IB01AD, IB01BD and IB01CD by courtesy of NICONET e.V.
-<http://www.slicot.org>
-
-Author: Lukas Reichlin <lukas.reichlin@gmail.com>
-Created: March 2012
-Version: 0.1
-
-*/
-
-#include <octave/oct.h>
-#include <f77-fcn.h>
-#include "common.h"
-
-extern "C"
-{ 
-    int F77_FUNC (ib01ad, IB01AD)
-                 (char& METH, char& ALG, char& JOBD,
-                  char& BATCH, char& CONCT, char& CTRL,
-                  int& NOBR, int& M, int& L,
-                  int& NSMP,
-                  double* U, int& LDU,
-                  double* Y, int& LDY,
-                  int& N,
-                  double* R, int& LDR,
-                  double* SV,
-                  double& RCOND, double& TOL,
-                  int* IWORK,
-                  double* DWORK, int& LDWORK,
-                  int& IWARN, int& INFO);
-
-    int F77_FUNC (ib01bd, IB01BD)
-                 (char& METH, char& JOB, char& JOBCK,
-                  int& NOBR, int& N, int& M, int& L,
-                  int& NSMPL,
-                  double* R, int& LDR,
-                  double* A, int& LDA,
-                  double* C, int& LDC,
-                  double* B, int& LDB,
-                  double* D, int& LDD,
-                  double* Q, int& LDQ,
-                  double* RY, int& LDRY,
-                  double* S, int& LDS,
-                  double* K, int& LDK,
-                  double& TOL,
-                  int* IWORK,
-                  double* DWORK, int& LDWORK,
-                  bool* BWORK,
-                  int& IWARN, int& INFO);
-
-    int F77_FUNC (ib01cd, IB01CD)
-                 (char& JOBX0, char& COMUSE, char& JOB,
-                  int& N, int& M, int& L,
-                  int& NSMP,
-                  double* A, int& LDA,
-                  double* B, int& LDB,
-                  double* C, int& LDC,
-                  double* D, int& LDD,
-                  double* U, int& LDU,
-                  double* Y, int& LDY,
-                  double* X0,
-                  double* V, int& LDV,
-                  double& TOL,
-                  int* IWORK,
-                  double* DWORK, int& LDWORK,
-                  int& IWARN, int& INFO);
-}
-
-// PKG_ADD: autoload ("slident_c", "devel_slicot_functions.oct");
-DEFUN_DLD (slident_c, args, nargout,
-   "-*- texinfo -*-\n\
-Slicot IB01AD Release 5.0\n\
-No argument checking.\n\
-For internal use only.")
-{
-    int nargin = args.length ();
-    octave_value_list retval;
-    
-    if (nargin != 16)
-    {
-        print_usage ();
-    }
-    else
-    {
-////////////////////////////////////////////////////////////////////////////////////
-//      SLICOT IB01AD - preprocess the input-output data                          //
-////////////////////////////////////////////////////////////////////////////////////
-
-        // arguments in
-        char meth;
-        char alg;
-        char jobd;
-        char batch;
-        char conct;
-        char ctrl;
-        char metha;
-        char jobda; // ??? unused
-        
-        Matrix y = args(0).matrix_value ();
-        Matrix u = args(1).matrix_value ();
-        int nobr = args(2).int_value ();
-        int nuser = args(3).int_value ();
-        
-        const int imeth = args(4).int_value ();
-        const int ialg = args(5).int_value ();
-        const int ijobd = args(6).int_value ();
-        const int ibatch = args(7).int_value ();
-        const int iconct = args(8).int_value ();
-        const int ictrl = args(9).int_value ();
-        
-        double rcond = args(10).double_value ();
-        double tol = args(11).double_value ();
-        double tolb = args(10).double_value ();      // tolb = rcond
-        
-        Matrix a = args(12).matrix_value ();
-        Matrix b = args(13).matrix_value ();
-        Matrix c = args(14).matrix_value ();
-        Matrix d = args(15).matrix_value ();
-
-            
-        switch (imeth)
-        {
-            case 0:
-                meth = 'M';
-                metha = 'M';
-                break;
-            case 1:
-                meth = 'N';
-                metha = 'N';
-                break;
-            case 2:
-                meth = 'C';
-                metha = 'N';    // no typo here
-                break;
-            default:
-                error ("slib01ad: argument 'meth' invalid");
-        }
-
-        switch (ialg)
-        {
-            case 0:
-                alg = 'C';
-                break;
-            case 1:
-                alg = 'F';
-                break;
-            case 2:
-                alg = 'Q';
-                break;
-            default:
-                error ("slib01ad: argument 'alg' invalid");
-        }
-        
-        if (meth == 'C')
-            jobd = 'N';
-        else if (ijobd == 0)
-            jobd = 'M';
-        else
-            jobd = 'N';
-        
-        switch (ibatch)
-        {
-            case 0:
-                batch = 'F';
-                break;
-            case 1:
-                batch = 'I';
-                break;
-            case 2:
-                batch = 'L';
-                break;
-            case 3:
-                batch = 'O';
-                break;
-            default:
-                error ("slib01ad: argument 'batch' invalid");
-        }
-
-        if (iconct == 0)
-            conct = 'C';
-        else
-            conct = 'N';
-
-        if (ictrl == 0)
-            ctrl = 'C';
-        else
-            ctrl = 'N';
-
-
-        int m = u.columns ();   // m: number of inputs
-        int l = y.columns ();   // l: number of outputs
-        int nsmp = y.rows ();   // nsmp: number of samples
-        // y.rows == u.rows  is checked by iddata class
-        // TODO: check minimal nsmp size
-        
-        if (batch == 'O')
-        {
-            if (nsmp < 2*(m+l+1)*nobr - 1)
-                error ("slident: require NSMP >= 2*(M+L+1)*NOBR - 1");
-        }
-        else
-        {
-            if (nsmp < 2*nobr)
-                error ("slident: require NSMP >= 2*NOBR");
-        }
-        
-        int ldu;
-        
-        if (m == 0)
-            ldu = 1;
-        else                    // m > 0
-            ldu = nsmp;
-
-        int ldy = nsmp;
-
-        // arguments out
-        int n;
-        int ldr;
-        
-        if (metha == 'M' && jobd == 'M')
-            ldr = max (2*(m+l)*nobr, 3*m*nobr);
-        else if (metha == 'N' || (metha == 'M' && jobd == 'N'))
-            ldr = 2*(m+l)*nobr;
-        else
-            error ("slib01ad: could not handle 'ldr' case");
-        
-        Matrix r (ldr, 2*(m+l)*nobr);
-        ColumnVector sv (l*nobr);
-
-        // workspace
-        int liwork;
-
-        if (metha == 'N')            // if METH = 'N'
-            liwork = (m+l)*nobr;
-        else if (alg == 'F')        // if METH = 'M' and ALG = 'F'
-            liwork = m+l;
-        else                        // if METH = 'M' and ALG = 'C' or 'Q'
-            liwork = 0;
-
-        // TODO: Handle 'k' for DWORK
-
-        int ldwork;
-        int ns = nsmp - 2*nobr + 1;
-        
-        if (alg == 'C')
-        {
-            if (batch == 'F' || batch == 'I')
-            {
-                if (conct == 'C')
-                    ldwork = (4*nobr-2)*(m+l);
-                else    // (conct == 'N')
-                    ldwork = 1;
-            }
-            else if (metha == 'M')   // && (batch == 'L' || batch == 'O')
-            {
-                if (conct == 'C' && batch == 'L')
-                    ldwork = max ((4*nobr-2)*(m+l), 5*l*nobr);
-                else if (jobd == 'M')
-                    ldwork = max ((2*m-1)*nobr, (m+l)*nobr, 5*l*nobr);
-                else    // (jobd == 'N')
-                    ldwork = 5*l*nobr;
-            }
-            else    // meth == 'N' && (batch == 'L' || batch == 'O')
-            {
-                ldwork = 5*(m+l)*nobr + 1;
-            }
-        }
-        else if (alg == 'F')
-        {
-            if (batch != 'O' && conct == 'C')
-                ldwork = (m+l)*2*nobr*(m+l+3);
-            else if (batch == 'F' || batch == 'I')  // && conct == 'N'
-                ldwork = (m+l)*2*nobr*(m+l+1);
-            else    // (batch == 'L' || '0' && conct == 'N')
-                ldwork = (m+l)*4*nobr*(m+l+1)+(m+l)*2*nobr;
-        }
-        else    // (alg == 'Q')
-        {
-            // int ns = nsmp - 2*nobr + 1;
-            
-            if (ldr >= ns && batch == 'F')
-            {
-                ldwork = 4*(m+l)*nobr;
-            }
-            else if (ldr >= ns && batch == 'O')
-            {
-                if (metha == 'M')
-                    ldwork = max (4*(m+l)*nobr, 5*l*nobr);
-                else    // (meth == 'N')
-                    ldwork = 5*(m+l)*nobr + 1;
-            }
-            else if (conct == 'C' && (batch == 'I' || batch == 'L'))
-            {
-                ldwork = 4*(nobr+1)*(m+l)*nobr;
-            }
-            else    // if ALG = 'Q', (BATCH = 'F' or 'O', and LDR < NS), or (BATCH = 'I' or 'L' and CONCT = 'N')
-            {
-                ldwork = 6*(m+l)*nobr;
-            }
-        }
-
-/*
-IB01AD.f Lines 438-445
-C     FURTHER COMMENTS
-C
-C     For ALG = 'Q', BATCH = 'O' and LDR < NS, or BATCH <> 'O', the
-C     calculations could be rather inefficient if only minimal workspace
-C     (see argument LDWORK) is provided. It is advisable to provide as
-C     much workspace as possible. Almost optimal efficiency can be
-C     obtained for  LDWORK = (NS+2)*(2*(M+L)*NOBR),  assuming that the
-C     cache size is large enough to accommodate R, U, Y, and DWORK.
-*/
-
-// warning ("==================== ldwork before: %d =====================", ldwork);
-// ldwork = (ns+2)*(2*(m+l)*nobr);
-ldwork = max (ldwork, (ns+2)*(2*(m+l)*nobr));
-// ldwork *= 3;
-// warning ("==================== ldwork after: %d =====================", ldwork);
-
-
-/*
-IB01AD.f Lines 291-195:
-c             the workspace used for alg = 'q' is
-c                       ldrwrk*2*(m+l)*nobr + 4*(m+l)*nobr,
-c             where ldrwrk = ldwork/(2*(m+l)*nobr) - 2; recommended
-c             value ldrwrk = ns, assuming a large enough cache size.
-c             for good performance,  ldwork  should be larger.
-
-somehow ldrwrk and ldwork must have been mixed up here
-
-*/
-
-
-////////////////////////////////////////////////////////////////////////////////////
-//      SLICOT IB01BD - estimating system matrices, Kalman gain, and covariances  //
-////////////////////////////////////////////////////////////////////////////////////
-
-        // arguments in
-        char job = 'A';
-        char jobck = 'K';
-        
-        // TODO: if meth == 'C', which meth should be taken for IB01AD.f, 'M' or 'N'?
-        n = nuser;
-
-
-        int nsmpl = nsmp;
-        
-        if (nsmpl < 2*(m+l)*nobr)
-            error ("slident: nsmpl (%d) < 2*(m+l)*nobr (%d)", nsmpl, nobr);
-        
-        // arguments out
-        int lda = max (1, n);
-        int ldc = max (1, l);
-        int ldb = max (1, n);
-        int ldd = max (1, l);
-        int ldq = n;            // if JOBCK = 'C' or 'K'
-        int ldry = l;           // if JOBCK = 'C' or 'K'
-        int lds = n;            // if JOBCK = 'C' or 'K'
-        int ldk = n;            // if JOBCK = 'K'
-        
-////////////////////////////////////////////////////////////////////////////////////
-//      SLICOT IB01CD - estimating the initial state                              //
-////////////////////////////////////////////////////////////////////////////////////
-
-// TODO: use only one iwork and dwork for all three slicot routines
-//       ldwork = max (ldwork_a, ldwork_b, ldwork_c)
-
-
-        // arguments in
-        char jobx0 = 'X';
-        char comuse = 'U';
-        char jobbd = 'D';
-        
-        // arguments out
-        int ldv = max (1, n);
-        
-        ColumnVector x0 (n);
-        Matrix v (ldv, n);
-        
-        // workspace
-        int liwork_c = n;     // if  JOBX0 = 'X'  and  COMUSE <> 'C'
-        int ldwork_c;
-        int t = nsmp;
-   
-        int ldw1_c = 2;
-        int ldw2_c = t*l*(n + 1) + 2*n + max (2*n*n, 4*n);
-        int ldw3_c = n*(n + 1) + 2*n + max (n*l*(n + 1) + 2*n*n + l*n, 4*n);
-
-        ldwork_c = ldw1_c + n*( n + m + l ) + max (5*n, ldw1_c, min (ldw2_c, ldw3_c));
-        
-        OCTAVE_LOCAL_BUFFER (int, iwork_c, liwork_c);
-        OCTAVE_LOCAL_BUFFER (double, dwork_c, ldwork_c);
-
-        // error indicators
-        int iwarn_c = 0;
-        int info_c = 0;
-        
-
-        // SLICOT routine IB01CD
-        F77_XFCN (ib01cd, IB01CD,
-                 (jobx0, comuse, jobbd,
-                  n, m, l,
-                  nsmp,
-                  a.fortran_vec (), lda,
-                  b.fortran_vec (), ldb,
-                  c.fortran_vec (), ldc,
-                  d.fortran_vec (), ldd,
-                  u.fortran_vec (), ldu,
-                  y.fortran_vec (), ldy,
-                  x0.fortran_vec (),
-                  v.fortran_vec (), ldv,
-                  tolb,
-                  iwork_c,
-                  dwork_c, ldwork_c,
-                  iwarn_c, info_c));
-
-
-        if (f77_exception_encountered)
-            error ("ident: exception in SLICOT subroutine IB01CD");
-
-        static const char* err_msg_c[] = {
-            "0: OK",
-            "1: the QR algorithm failed to compute all the "
-                "eigenvalues of the matrix A (see LAPACK Library "
-                "routine DGEES); the locations  DWORK(i),  for "
-                "i = g+1:g+N*N,  contain the partially converged "
-                "Schur form",
-            "2: the singular value decomposition (SVD) algorithm did "
-                "not converge"};
-
-        static const char* warn_msg_c[] = {
-            "0: OK",
-            "1: warning message not specified",
-            "2: warning message not specified",
-            "3: warning message not specified",
-            "4: the least squares problem to be solved has a "
-                "rank-deficient coefficient matrix",
-            "5: warning message not specified",
-            "6: the matrix  A  is unstable;  the estimated  x(0) "
-                "and/or  B and D  could be inaccurate"};
-
-
-        error_msg ("ident", info_c, 2, err_msg_c);
-        warning_msg ("ident", iwarn_c, 6, warn_msg_c);
-      
-        
-        // return values
-
-        
-        retval(0) = x0;
-    }
-    
-    return retval;
-}