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1993
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1 // Matrix manipulations. |
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458
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2 /* |
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3 |
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1882
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4 Copyright (C) 1996 John W. Eaton |
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458
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5 |
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6 This file is part of Octave. |
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7 |
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8 Octave is free software; you can redistribute it and/or modify it |
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9 under the terms of the GNU General Public License as published by the |
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10 Free Software Foundation; either version 2, or (at your option) any |
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11 later version. |
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12 |
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13 Octave is distributed in the hope that it will be useful, but WITHOUT |
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14 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
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15 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License |
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16 for more details. |
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17 |
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18 You should have received a copy of the GNU General Public License |
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19 along with Octave; see the file COPYING. If not, write to the Free |
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20 Software Foundation, 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. |
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21 |
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22 */ |
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23 |
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1296
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24 #if defined (__GNUG__) |
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25 #pragma implementation |
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26 #endif |
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27 |
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458
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28 #ifdef HAVE_CONFIG_H |
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1192
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29 #include <config.h> |
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458
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30 #endif |
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31 |
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1367
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32 #include <cfloat> |
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33 |
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458
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34 #include <iostream.h> |
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35 |
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2317
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36 #include "byte-swap.h" |
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1819
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37 #include "dbleAEPBAL.h" |
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458
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38 #include "dbleDET.h" |
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1819
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39 #include "dbleSCHUR.h" |
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740
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40 #include "dbleSVD.h" |
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1847
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41 #include "f77-fcn.h" |
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458
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42 #include "lo-error.h" |
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2354
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43 #include "lo-ieee.h" |
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44 #include "lo-mappers.h" |
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1968
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45 #include "lo-utils.h" |
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1367
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46 #include "mx-base.h" |
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47 #include "mx-inlines.cc" |
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1650
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48 #include "oct-cmplx.h" |
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458
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49 |
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50 // Fortran functions we call. |
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51 |
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52 extern "C" |
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53 { |
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1253
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54 int F77_FCN (dgemm, DGEMM) (const char*, const char*, const int&, |
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55 const int&, const int&, const double&, |
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56 const double*, const int&, |
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57 const double*, const int&, |
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58 const double&, double*, const int&, |
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59 long, long); |
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458
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60 |
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1253
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61 int F77_FCN (dgeco, DGECO) (double*, const int&, const int&, int*, |
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62 double&, double*); |
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63 |
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1253
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64 int F77_FCN (dgesl, DGESL) (const double*, const int&, const int&, |
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65 const int*, double*, const int&); |
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66 |
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1253
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67 int F77_FCN (dgedi, DGEDI) (double*, const int&, const int&, |
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68 const int*, double*, double*, |
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69 const int&); |
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70 |
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1253
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71 int F77_FCN (dgelss, DGELSS) (const int&, const int&, const int&, |
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72 double*, const int&, double*, |
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73 const int&, double*, double&, int&, |
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74 double*, const int&, int&); |
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458
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75 |
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1360
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76 // Note that the original complex fft routines were not written for |
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77 // double complex arguments. They have been modified by adding an |
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78 // implicit double precision (a-h,o-z) statement at the beginning of |
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79 // each subroutine. |
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80 |
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1253
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81 int F77_FCN (cffti, CFFTI) (const int&, Complex*); |
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82 |
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83 int F77_FCN (cfftf, CFFTF) (const int&, Complex*, Complex*); |
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84 |
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1253
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85 int F77_FCN (cfftb, CFFTB) (const int&, Complex*, Complex*); |
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86 |
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87 int F77_FCN (dlartg, DLARTG) (const double&, const double&, double&, |
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88 double&, double&); |
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89 |
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90 int F77_FCN (dtrsyl, DTRSYL) (const char*, const char*, const int&, |
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91 const int&, const int&, const double*, |
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92 const int&, const double*, const int&, |
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93 const double*, const int&, double&, |
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94 int&, long, long); |
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95 |
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96 double F77_FCN (dlange, DLANGE) (const char*, const int&, |
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97 const int&, const double*, |
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98 const int&, double*); |
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99 |
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100 int F77_FCN (qzhes, QZHES) (const int&, const int&, double*, |
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101 double*, const long&, double*); |
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102 |
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103 int F77_FCN (qzit, QZIT) (const int&, const int&, double*, double*, |
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104 const double&, const long&, double*, |
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105 int&); |
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106 |
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107 int F77_FCN (qzval, QZVAL) (const int&, const int&, double*, |
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108 double*, double*, double*, double*, |
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109 const long&, double*); |
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458
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110 } |
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111 |
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1360
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112 // Matrix class. |
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113 |
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2349
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114 Matrix::Matrix (const RowVector& rv) |
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115 : MArray2<double> (1, rv.length (), 0.0) |
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116 { |
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117 for (int i = 0; i < rv.length (); i++) |
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118 elem (0, i) = rv.elem (i); |
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119 } |
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120 |
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121 Matrix::Matrix (const ColumnVector& cv) |
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122 : MArray2<double> (cv.length (), 1, 0.0) |
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123 { |
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124 for (int i = 0; i < cv.length (); i++) |
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125 elem (i, 0) = cv.elem (i); |
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126 } |
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127 |
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458
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128 Matrix::Matrix (const DiagMatrix& a) |
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1214
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129 : MArray2<double> (a.rows (), a.cols (), 0.0) |
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458
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130 { |
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131 for (int i = 0; i < a.length (); i++) |
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132 elem (i, i) = a.elem (i, i); |
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133 } |
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134 |
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1574
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135 // XXX FIXME XXX -- could we use a templated mixed-type copy function |
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136 // here? |
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137 |
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138 Matrix::Matrix (const charMatrix& a) |
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139 : MArray2<double> (a.rows (), a.cols ()) |
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140 { |
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141 for (int i = 0; i < a.rows (); i++) |
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142 for (int j = 0; j < a.cols (); j++) |
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143 elem (i, j) = a.elem (i, j); |
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144 } |
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145 |
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458
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146 int |
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147 Matrix::operator == (const Matrix& a) const |
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148 { |
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149 if (rows () != a.rows () || cols () != a.cols ()) |
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150 return 0; |
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151 |
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152 return equal (data (), a.data (), length ()); |
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153 } |
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154 |
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155 int |
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156 Matrix::operator != (const Matrix& a) const |
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157 { |
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158 return !(*this == a); |
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159 } |
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160 |
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161 Matrix& |
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162 Matrix::insert (const Matrix& a, int r, int c) |
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163 { |
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1561
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164 Array2<double>::insert (a, r, c); |
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458
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165 return *this; |
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166 } |
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167 |
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168 Matrix& |
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169 Matrix::insert (const RowVector& a, int r, int c) |
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170 { |
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171 int a_len = a.length (); |
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1698
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172 if (r < 0 || r >= rows () || c < 0 || c + a_len > cols ()) |
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458
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173 { |
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174 (*current_liboctave_error_handler) ("range error for insert"); |
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175 return *this; |
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176 } |
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177 |
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178 for (int i = 0; i < a_len; i++) |
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179 elem (r, c+i) = a.elem (i); |
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180 |
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181 return *this; |
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182 } |
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183 |
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184 Matrix& |
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185 Matrix::insert (const ColumnVector& a, int r, int c) |
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186 { |
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187 int a_len = a.length (); |
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1698
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188 if (r < 0 || r + a_len > rows () || c < 0 || c >= cols ()) |
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458
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189 { |
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190 (*current_liboctave_error_handler) ("range error for insert"); |
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191 return *this; |
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192 } |
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193 |
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194 for (int i = 0; i < a_len; i++) |
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195 elem (r+i, c) = a.elem (i); |
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196 |
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197 return *this; |
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198 } |
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199 |
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200 Matrix& |
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201 Matrix::insert (const DiagMatrix& a, int r, int c) |
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202 { |
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1697
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203 int a_nr = a.rows (); |
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204 int a_nc = a.cols (); |
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205 |
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1698
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206 if (r < 0 || r + a_nr > rows () || c < 0 || c + a_nc > cols ()) |
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458
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207 { |
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208 (*current_liboctave_error_handler) ("range error for insert"); |
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209 return *this; |
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210 } |
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211 |
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1697
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212 fill (0.0, r, c, r + a_nr - 1, c + a_nc - 1); |
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213 |
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458
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214 for (int i = 0; i < a.length (); i++) |
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215 elem (r+i, c+i) = a.elem (i, i); |
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216 |
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217 return *this; |
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218 } |
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219 |
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220 Matrix& |
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221 Matrix::fill (double val) |
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222 { |
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223 int nr = rows (); |
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224 int nc = cols (); |
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225 if (nr > 0 && nc > 0) |
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226 for (int j = 0; j < nc; j++) |
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227 for (int i = 0; i < nr; i++) |
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228 elem (i, j) = val; |
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229 |
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230 return *this; |
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231 } |
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232 |
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233 Matrix& |
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234 Matrix::fill (double val, int r1, int c1, int r2, int c2) |
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235 { |
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236 int nr = rows (); |
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237 int nc = cols (); |
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238 if (r1 < 0 || r2 < 0 || c1 < 0 || c2 < 0 |
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239 || r1 >= nr || r2 >= nr || c1 >= nc || c2 >= nc) |
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240 { |
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241 (*current_liboctave_error_handler) ("range error for fill"); |
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242 return *this; |
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243 } |
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244 |
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245 if (r1 > r2) { int tmp = r1; r1 = r2; r2 = tmp; } |
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246 if (c1 > c2) { int tmp = c1; c1 = c2; c2 = tmp; } |
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247 |
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248 for (int j = c1; j <= c2; j++) |
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249 for (int i = r1; i <= r2; i++) |
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250 elem (i, j) = val; |
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251 |
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252 return *this; |
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253 } |
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254 |
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255 Matrix |
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256 Matrix::append (const Matrix& a) const |
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257 { |
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258 int nr = rows (); |
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259 int nc = cols (); |
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260 if (nr != a.rows ()) |
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261 { |
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262 (*current_liboctave_error_handler) ("row dimension mismatch for append"); |
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263 return Matrix (); |
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264 } |
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265 |
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266 int nc_insert = nc; |
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267 Matrix retval (nr, nc + a.cols ()); |
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268 retval.insert (*this, 0, 0); |
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269 retval.insert (a, 0, nc_insert); |
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270 return retval; |
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271 } |
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272 |
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273 Matrix |
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274 Matrix::append (const RowVector& a) const |
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275 { |
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276 int nr = rows (); |
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277 int nc = cols (); |
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278 if (nr != 1) |
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279 { |
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280 (*current_liboctave_error_handler) ("row dimension mismatch for append"); |
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281 return Matrix (); |
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282 } |
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283 |
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284 int nc_insert = nc; |
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285 Matrix retval (nr, nc + a.length ()); |
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286 retval.insert (*this, 0, 0); |
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287 retval.insert (a, 0, nc_insert); |
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288 return retval; |
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289 } |
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290 |
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291 Matrix |
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292 Matrix::append (const ColumnVector& a) const |
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293 { |
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294 int nr = rows (); |
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295 int nc = cols (); |
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296 if (nr != a.length ()) |
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297 { |
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298 (*current_liboctave_error_handler) ("row dimension mismatch for append"); |
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299 return Matrix (); |
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300 } |
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301 |
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302 int nc_insert = nc; |
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303 Matrix retval (nr, nc + 1); |
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304 retval.insert (*this, 0, 0); |
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305 retval.insert (a, 0, nc_insert); |
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306 return retval; |
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307 } |
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308 |
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309 Matrix |
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310 Matrix::append (const DiagMatrix& a) const |
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311 { |
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312 int nr = rows (); |
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313 int nc = cols (); |
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314 if (nr != a.rows ()) |
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315 { |
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316 (*current_liboctave_error_handler) ("row dimension mismatch for append"); |
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317 return *this; |
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318 } |
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319 |
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320 int nc_insert = nc; |
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321 Matrix retval (nr, nc + a.cols ()); |
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322 retval.insert (*this, 0, 0); |
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323 retval.insert (a, 0, nc_insert); |
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324 return retval; |
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325 } |
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326 |
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327 Matrix |
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328 Matrix::stack (const Matrix& a) const |
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329 { |
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330 int nr = rows (); |
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331 int nc = cols (); |
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332 if (nc != a.cols ()) |
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333 { |
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334 (*current_liboctave_error_handler) |
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335 ("column dimension mismatch for stack"); |
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336 return Matrix (); |
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337 } |
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338 |
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339 int nr_insert = nr; |
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340 Matrix retval (nr + a.rows (), nc); |
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341 retval.insert (*this, 0, 0); |
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342 retval.insert (a, nr_insert, 0); |
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343 return retval; |
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344 } |
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345 |
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346 Matrix |
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347 Matrix::stack (const RowVector& a) const |
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348 { |
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349 int nr = rows (); |
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350 int nc = cols (); |
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351 if (nc != a.length ()) |
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352 { |
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353 (*current_liboctave_error_handler) |
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354 ("column dimension mismatch for stack"); |
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355 return Matrix (); |
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356 } |
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357 |
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358 int nr_insert = nr; |
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359 Matrix retval (nr + 1, nc); |
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360 retval.insert (*this, 0, 0); |
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361 retval.insert (a, nr_insert, 0); |
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362 return retval; |
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363 } |
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364 |
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365 Matrix |
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366 Matrix::stack (const ColumnVector& a) const |
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367 { |
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368 int nr = rows (); |
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369 int nc = cols (); |
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370 if (nc != 1) |
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371 { |
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372 (*current_liboctave_error_handler) |
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373 ("column dimension mismatch for stack"); |
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374 return Matrix (); |
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375 } |
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376 |
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377 int nr_insert = nr; |
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378 Matrix retval (nr + a.length (), nc); |
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379 retval.insert (*this, 0, 0); |
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380 retval.insert (a, nr_insert, 0); |
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381 return retval; |
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382 } |
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383 |
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384 Matrix |
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385 Matrix::stack (const DiagMatrix& a) const |
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386 { |
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387 int nr = rows (); |
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388 int nc = cols (); |
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389 if (nc != a.cols ()) |
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390 { |
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391 (*current_liboctave_error_handler) |
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392 ("column dimension mismatch for stack"); |
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393 return Matrix (); |
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394 } |
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395 |
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396 int nr_insert = nr; |
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397 Matrix retval (nr + a.rows (), nc); |
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398 retval.insert (*this, 0, 0); |
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399 retval.insert (a, nr_insert, 0); |
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400 return retval; |
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401 } |
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402 |
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403 Matrix |
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404 Matrix::transpose (void) const |
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405 { |
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406 int nr = rows (); |
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407 int nc = cols (); |
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408 Matrix result (nc, nr); |
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409 if (length () > 0) |
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410 { |
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411 for (int j = 0; j < nc; j++) |
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412 for (int i = 0; i < nr; i++) |
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413 result.elem (j, i) = elem (i, j); |
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414 } |
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415 return result; |
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416 } |
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417 |
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418 Matrix |
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1205
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419 real (const ComplexMatrix& a) |
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420 { |
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421 int a_len = a.length (); |
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422 Matrix retval; |
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423 if (a_len > 0) |
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424 retval = Matrix (real_dup (a.data (), a_len), a.rows (), a.cols ()); |
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425 return retval; |
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426 } |
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427 |
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428 Matrix |
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429 imag (const ComplexMatrix& a) |
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430 { |
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431 int a_len = a.length (); |
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432 Matrix retval; |
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433 if (a_len > 0) |
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434 retval = Matrix (imag_dup (a.data (), a_len), a.rows (), a.cols ()); |
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435 return retval; |
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436 } |
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437 |
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438 Matrix |
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458
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439 Matrix::extract (int r1, int c1, int r2, int c2) const |
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440 { |
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441 if (r1 > r2) { int tmp = r1; r1 = r2; r2 = tmp; } |
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442 if (c1 > c2) { int tmp = c1; c1 = c2; c2 = tmp; } |
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443 |
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444 int new_r = r2 - r1 + 1; |
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445 int new_c = c2 - c1 + 1; |
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446 |
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447 Matrix result (new_r, new_c); |
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448 |
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449 for (int j = 0; j < new_c; j++) |
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450 for (int i = 0; i < new_r; i++) |
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451 result.elem (i, j) = elem (r1+i, c1+j); |
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452 |
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453 return result; |
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454 } |
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455 |
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456 // extract row or column i. |
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457 |
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458 RowVector |
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459 Matrix::row (int i) const |
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460 { |
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461 int nc = cols (); |
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462 if (i < 0 || i >= rows ()) |
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463 { |
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464 (*current_liboctave_error_handler) ("invalid row selection"); |
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465 return RowVector (); |
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466 } |
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467 |
|
|
468 RowVector retval (nc); |
|
|
469 for (int j = 0; j < nc; j++) |
|
|
470 retval.elem (j) = elem (i, j); |
|
|
471 |
|
|
472 return retval; |
|
|
473 } |
|
|
474 |
|
|
475 RowVector |
|
|
476 Matrix::row (char *s) const |
|
|
477 { |
|
533
|
478 if (! s) |
|
458
|
479 { |
|
|
480 (*current_liboctave_error_handler) ("invalid row selection"); |
|
|
481 return RowVector (); |
|
|
482 } |
|
|
483 |
|
|
484 char c = *s; |
|
|
485 if (c == 'f' || c == 'F') |
|
|
486 return row (0); |
|
|
487 else if (c == 'l' || c == 'L') |
|
|
488 return row (rows () - 1); |
|
|
489 else |
|
|
490 { |
|
|
491 (*current_liboctave_error_handler) ("invalid row selection"); |
|
|
492 return RowVector (); |
|
|
493 } |
|
|
494 } |
|
|
495 |
|
|
496 ColumnVector |
|
|
497 Matrix::column (int i) const |
|
|
498 { |
|
|
499 int nr = rows (); |
|
|
500 if (i < 0 || i >= cols ()) |
|
|
501 { |
|
|
502 (*current_liboctave_error_handler) ("invalid column selection"); |
|
|
503 return ColumnVector (); |
|
|
504 } |
|
|
505 |
|
|
506 ColumnVector retval (nr); |
|
|
507 for (int j = 0; j < nr; j++) |
|
|
508 retval.elem (j) = elem (j, i); |
|
|
509 |
|
|
510 return retval; |
|
|
511 } |
|
|
512 |
|
|
513 ColumnVector |
|
|
514 Matrix::column (char *s) const |
|
|
515 { |
|
533
|
516 if (! s) |
|
458
|
517 { |
|
|
518 (*current_liboctave_error_handler) ("invalid column selection"); |
|
|
519 return ColumnVector (); |
|
|
520 } |
|
|
521 |
|
|
522 char c = *s; |
|
|
523 if (c == 'f' || c == 'F') |
|
|
524 return column (0); |
|
|
525 else if (c == 'l' || c == 'L') |
|
|
526 return column (cols () - 1); |
|
|
527 else |
|
|
528 { |
|
|
529 (*current_liboctave_error_handler) ("invalid column selection"); |
|
|
530 return ColumnVector (); |
|
|
531 } |
|
|
532 } |
|
|
533 |
|
|
534 Matrix |
|
|
535 Matrix::inverse (void) const |
|
|
536 { |
|
|
537 int info; |
|
|
538 double rcond; |
|
|
539 return inverse (info, rcond); |
|
|
540 } |
|
|
541 |
|
|
542 Matrix |
|
|
543 Matrix::inverse (int& info) const |
|
|
544 { |
|
|
545 double rcond; |
|
|
546 return inverse (info, rcond); |
|
|
547 } |
|
|
548 |
|
|
549 Matrix |
|
1656
|
550 Matrix::inverse (int& info, double& rcond, int force) const |
|
458
|
551 { |
|
1948
|
552 Matrix retval; |
|
|
553 |
|
458
|
554 int nr = rows (); |
|
|
555 int nc = cols (); |
|
1948
|
556 |
|
458
|
557 if (nr != nc || nr == 0 || nc == 0) |
|
1948
|
558 (*current_liboctave_error_handler) ("inverse requires square matrix"); |
|
458
|
559 else |
|
|
560 { |
|
1948
|
561 info = 0; |
|
|
562 |
|
|
563 Array<int> ipvt (nr); |
|
|
564 int *pipvt = ipvt.fortran_vec (); |
|
|
565 |
|
|
566 Array<double> z (nr); |
|
|
567 double *pz = z.fortran_vec (); |
|
|
568 |
|
|
569 retval = *this; |
|
|
570 double *tmp_data = retval.fortran_vec (); |
|
|
571 |
|
|
572 F77_XFCN (dgeco, DGECO, (tmp_data, nr, nc, pipvt, rcond, pz)); |
|
|
573 |
|
|
574 if (f77_exception_encountered) |
|
|
575 (*current_liboctave_error_handler) ("unrecoverable error in dgeco"); |
|
|
576 else |
|
|
577 { |
|
|
578 volatile double rcond_plus_one = rcond + 1.0; |
|
|
579 |
|
|
580 if (rcond_plus_one == 1.0) |
|
|
581 info = -1; |
|
|
582 |
|
|
583 if (info == -1 && ! force) |
|
|
584 retval = *this; // Restore matrix contents. |
|
|
585 else |
|
|
586 { |
|
|
587 double *dummy = 0; |
|
|
588 |
|
|
589 F77_XFCN (dgedi, DGEDI, (tmp_data, nr, nc, pipvt, dummy, |
|
|
590 pz, 1)); |
|
|
591 |
|
|
592 if (f77_exception_encountered) |
|
|
593 (*current_liboctave_error_handler) |
|
|
594 ("unrecoverable error in dgedi"); |
|
|
595 } |
|
|
596 } |
|
458
|
597 } |
|
|
598 |
|
1948
|
599 return retval; |
|
458
|
600 } |
|
|
601 |
|
740
|
602 Matrix |
|
|
603 Matrix::pseudo_inverse (double tol) |
|
|
604 { |
|
|
605 SVD result (*this); |
|
|
606 |
|
|
607 DiagMatrix S = result.singular_values (); |
|
|
608 Matrix U = result.left_singular_matrix (); |
|
|
609 Matrix V = result.right_singular_matrix (); |
|
|
610 |
|
|
611 ColumnVector sigma = S.diag (); |
|
|
612 |
|
|
613 int r = sigma.length () - 1; |
|
|
614 int nr = rows (); |
|
|
615 int nc = cols (); |
|
|
616 |
|
|
617 if (tol <= 0.0) |
|
|
618 { |
|
|
619 if (nr > nc) |
|
|
620 tol = nr * sigma.elem (0) * DBL_EPSILON; |
|
|
621 else |
|
|
622 tol = nc * sigma.elem (0) * DBL_EPSILON; |
|
|
623 } |
|
|
624 |
|
|
625 while (r >= 0 && sigma.elem (r) < tol) |
|
|
626 r--; |
|
|
627 |
|
|
628 if (r < 0) |
|
|
629 return Matrix (nc, nr, 0.0); |
|
|
630 else |
|
|
631 { |
|
|
632 Matrix Ur = U.extract (0, 0, nr-1, r); |
|
|
633 DiagMatrix D = DiagMatrix (sigma.extract (0, r)) . inverse (); |
|
|
634 Matrix Vr = V.extract (0, 0, nc-1, r); |
|
|
635 return Vr * D * Ur.transpose (); |
|
|
636 } |
|
|
637 } |
|
|
638 |
|
458
|
639 ComplexMatrix |
|
|
640 Matrix::fourier (void) const |
|
|
641 { |
|
1948
|
642 ComplexMatrix retval; |
|
|
643 |
|
458
|
644 int nr = rows (); |
|
|
645 int nc = cols (); |
|
1948
|
646 |
|
458
|
647 int npts, nsamples; |
|
1948
|
648 |
|
458
|
649 if (nr == 1 || nc == 1) |
|
|
650 { |
|
|
651 npts = nr > nc ? nr : nc; |
|
|
652 nsamples = 1; |
|
|
653 } |
|
|
654 else |
|
|
655 { |
|
|
656 npts = nr; |
|
|
657 nsamples = nc; |
|
|
658 } |
|
|
659 |
|
|
660 int nn = 4*npts+15; |
|
1948
|
661 |
|
|
662 Array<Complex> wsave (nn); |
|
|
663 Complex *pwsave = wsave.fortran_vec (); |
|
|
664 |
|
|
665 retval = *this; |
|
|
666 Complex *tmp_data = retval.fortran_vec (); |
|
|
667 |
|
|
668 F77_FCN (cffti, CFFTI) (npts, pwsave); |
|
458
|
669 |
|
|
670 for (int j = 0; j < nsamples; j++) |
|
1948
|
671 F77_FCN (cfftf, CFFTF) (npts, &tmp_data[npts*j], pwsave); |
|
|
672 |
|
|
673 return retval; |
|
458
|
674 } |
|
|
675 |
|
|
676 ComplexMatrix |
|
|
677 Matrix::ifourier (void) const |
|
|
678 { |
|
1948
|
679 ComplexMatrix retval; |
|
|
680 |
|
458
|
681 int nr = rows (); |
|
|
682 int nc = cols (); |
|
1948
|
683 |
|
458
|
684 int npts, nsamples; |
|
1948
|
685 |
|
458
|
686 if (nr == 1 || nc == 1) |
|
|
687 { |
|
|
688 npts = nr > nc ? nr : nc; |
|
|
689 nsamples = 1; |
|
|
690 } |
|
|
691 else |
|
|
692 { |
|
|
693 npts = nr; |
|
|
694 nsamples = nc; |
|
|
695 } |
|
|
696 |
|
|
697 int nn = 4*npts+15; |
|
1948
|
698 |
|
|
699 Array<Complex> wsave (nn); |
|
|
700 Complex *pwsave = wsave.fortran_vec (); |
|
|
701 |
|
|
702 retval = *this; |
|
|
703 Complex *tmp_data = retval.fortran_vec (); |
|
|
704 |
|
|
705 F77_FCN (cffti, CFFTI) (npts, pwsave); |
|
458
|
706 |
|
|
707 for (int j = 0; j < nsamples; j++) |
|
1948
|
708 F77_FCN (cfftb, CFFTB) (npts, &tmp_data[npts*j], pwsave); |
|
458
|
709 |
|
1321
|
710 for (int j = 0; j < npts*nsamples; j++) |
|
458
|
711 tmp_data[j] = tmp_data[j] / (double) npts; |
|
|
712 |
|
1948
|
713 return retval; |
|
458
|
714 } |
|
|
715 |
|
677
|
716 ComplexMatrix |
|
|
717 Matrix::fourier2d (void) const |
|
|
718 { |
|
1948
|
719 ComplexMatrix retval; |
|
|
720 |
|
677
|
721 int nr = rows (); |
|
|
722 int nc = cols (); |
|
1948
|
723 |
|
677
|
724 int npts, nsamples; |
|
1948
|
725 |
|
677
|
726 if (nr == 1 || nc == 1) |
|
|
727 { |
|
|
728 npts = nr > nc ? nr : nc; |
|
|
729 nsamples = 1; |
|
|
730 } |
|
|
731 else |
|
|
732 { |
|
|
733 npts = nr; |
|
|
734 nsamples = nc; |
|
|
735 } |
|
|
736 |
|
|
737 int nn = 4*npts+15; |
|
1948
|
738 |
|
|
739 Array<Complex> wsave (nn); |
|
|
740 Complex *pwsave = wsave.fortran_vec (); |
|
|
741 |
|
|
742 retval = *this; |
|
|
743 Complex *tmp_data = retval.fortran_vec (); |
|
|
744 |
|
|
745 F77_FCN (cffti, CFFTI) (npts, pwsave); |
|
677
|
746 |
|
|
747 for (int j = 0; j < nsamples; j++) |
|
1948
|
748 F77_FCN (cfftf, CFFTF) (npts, &tmp_data[npts*j], pwsave); |
|
677
|
749 |
|
|
750 npts = nc; |
|
|
751 nsamples = nr; |
|
|
752 nn = 4*npts+15; |
|
1948
|
753 |
|
|
754 wsave.resize (nn); |
|
|
755 pwsave = wsave.fortran_vec (); |
|
|
756 |
|
|
757 Array<Complex> row (npts); |
|
|
758 Complex *prow = row.fortran_vec (); |
|
|
759 |
|
|
760 F77_FCN (cffti, CFFTI) (npts, pwsave); |
|
677
|
761 |
|
1321
|
762 for (int j = 0; j < nsamples; j++) |
|
677
|
763 { |
|
|
764 for (int i = 0; i < npts; i++) |
|
1948
|
765 prow[i] = tmp_data[i*nr + j]; |
|
|
766 |
|
|
767 F77_FCN (cfftf, CFFTF) (npts, prow, pwsave); |
|
677
|
768 |
|
1321
|
769 for (int i = 0; i < npts; i++) |
|
1948
|
770 tmp_data[i*nr + j] = prow[i]; |
|
677
|
771 } |
|
|
772 |
|
1948
|
773 return retval; |
|
677
|
774 } |
|
|
775 |
|
|
776 ComplexMatrix |
|
|
777 Matrix::ifourier2d (void) const |
|
|
778 { |
|
1948
|
779 ComplexMatrix retval; |
|
|
780 |
|
677
|
781 int nr = rows (); |
|
|
782 int nc = cols (); |
|
1948
|
783 |
|
677
|
784 int npts, nsamples; |
|
1948
|
785 |
|
677
|
786 if (nr == 1 || nc == 1) |
|
|
787 { |
|
|
788 npts = nr > nc ? nr : nc; |
|
|
789 nsamples = 1; |
|
|
790 } |
|
|
791 else |
|
|
792 { |
|
|
793 npts = nr; |
|
|
794 nsamples = nc; |
|
|
795 } |
|
|
796 |
|
|
797 int nn = 4*npts+15; |
|
1948
|
798 |
|
|
799 Array<Complex> wsave (nn); |
|
|
800 Complex *pwsave = wsave.fortran_vec (); |
|
|
801 |
|
|
802 retval = *this; |
|
|
803 Complex *tmp_data = retval.fortran_vec (); |
|
|
804 |
|
|
805 F77_FCN (cffti, CFFTI) (npts, pwsave); |
|
677
|
806 |
|
|
807 for (int j = 0; j < nsamples; j++) |
|
1948
|
808 F77_FCN (cfftb, CFFTB) (npts, &tmp_data[npts*j], pwsave); |
|
677
|
809 |
|
1321
|
810 for (int j = 0; j < npts*nsamples; j++) |
|
677
|
811 tmp_data[j] = tmp_data[j] / (double) npts; |
|
|
812 |
|
|
813 npts = nc; |
|
|
814 nsamples = nr; |
|
|
815 nn = 4*npts+15; |
|
1948
|
816 |
|
|
817 wsave.resize (nn); |
|
|
818 pwsave = wsave.fortran_vec (); |
|
|
819 |
|
|
820 Array<Complex> row (npts); |
|
|
821 Complex *prow = row.fortran_vec (); |
|
|
822 |
|
|
823 F77_FCN (cffti, CFFTI) (npts, pwsave); |
|
677
|
824 |
|
1321
|
825 for (int j = 0; j < nsamples; j++) |
|
677
|
826 { |
|
|
827 for (int i = 0; i < npts; i++) |
|
1948
|
828 prow[i] = tmp_data[i*nr + j]; |
|
|
829 |
|
|
830 F77_FCN (cfftb, CFFTB) (npts, prow, pwsave); |
|
677
|
831 |
|
1321
|
832 for (int i = 0; i < npts; i++) |
|
1948
|
833 tmp_data[i*nr + j] = prow[i] / (double) npts; |
|
677
|
834 } |
|
|
835 |
|
1948
|
836 return retval; |
|
677
|
837 } |
|
|
838 |
|
458
|
839 DET |
|
|
840 Matrix::determinant (void) const |
|
|
841 { |
|
|
842 int info; |
|
|
843 double rcond; |
|
|
844 return determinant (info, rcond); |
|
|
845 } |
|
|
846 |
|
|
847 DET |
|
|
848 Matrix::determinant (int& info) const |
|
|
849 { |
|
|
850 double rcond; |
|
|
851 return determinant (info, rcond); |
|
|
852 } |
|
|
853 |
|
|
854 DET |
|
532
|
855 Matrix::determinant (int& info, double& rcond) const |
|
458
|
856 { |
|
|
857 DET retval; |
|
|
858 |
|
|
859 int nr = rows (); |
|
|
860 int nc = cols (); |
|
|
861 |
|
|
862 if (nr == 0 || nc == 0) |
|
|
863 { |
|
|
864 double d[2]; |
|
|
865 d[0] = 1.0; |
|
|
866 d[1] = 0.0; |
|
|
867 retval = DET (d); |
|
|
868 } |
|
|
869 else |
|
|
870 { |
|
|
871 info = 0; |
|
1948
|
872 |
|
|
873 Array<int> ipvt (nr); |
|
|
874 int *pipvt = ipvt.fortran_vec (); |
|
|
875 |
|
|
876 Array<double> z (nr); |
|
|
877 double *pz = z.fortran_vec (); |
|
|
878 |
|
|
879 Matrix atmp = *this; |
|
|
880 double *tmp_data = atmp.fortran_vec (); |
|
|
881 |
|
|
882 F77_XFCN (dgeco, DGECO, (tmp_data, nr, nr, pipvt, rcond, pz)); |
|
|
883 |
|
|
884 if (f77_exception_encountered) |
|
|
885 (*current_liboctave_error_handler) ("unrecoverable error in dgeco"); |
|
458
|
886 else |
|
|
887 { |
|
1948
|
888 volatile double rcond_plus_one = rcond + 1.0; |
|
|
889 |
|
|
890 if (rcond_plus_one == 1.0) |
|
|
891 { |
|
|
892 info = -1; |
|
|
893 retval = DET (); |
|
|
894 } |
|
|
895 else |
|
|
896 { |
|
|
897 double d[2]; |
|
|
898 |
|
|
899 F77_XFCN (dgedi, DGEDI, (tmp_data, nr, nr, pipvt, d, pz, 10)); |
|
|
900 |
|
|
901 if (f77_exception_encountered) |
|
|
902 (*current_liboctave_error_handler) |
|
|
903 ("unrecoverable error in dgedi"); |
|
|
904 else |
|
|
905 retval = DET (d); |
|
|
906 } |
|
458
|
907 } |
|
|
908 } |
|
|
909 |
|
|
910 return retval; |
|
|
911 } |
|
|
912 |
|
|
913 Matrix |
|
|
914 Matrix::solve (const Matrix& b) const |
|
|
915 { |
|
|
916 int info; |
|
|
917 double rcond; |
|
|
918 return solve (b, info, rcond); |
|
|
919 } |
|
|
920 |
|
|
921 Matrix |
|
|
922 Matrix::solve (const Matrix& b, int& info) const |
|
|
923 { |
|
|
924 double rcond; |
|
|
925 return solve (b, info, rcond); |
|
|
926 } |
|
|
927 |
|
|
928 Matrix |
|
532
|
929 Matrix::solve (const Matrix& b, int& info, double& rcond) const |
|
458
|
930 { |
|
|
931 Matrix retval; |
|
|
932 |
|
|
933 int nr = rows (); |
|
|
934 int nc = cols (); |
|
1948
|
935 |
|
458
|
936 if (nr == 0 || nc == 0 || nr != nc || nr != b.rows ()) |
|
1948
|
937 (*current_liboctave_error_handler) |
|
|
938 ("matrix dimension mismatch solution of linear equations"); |
|
458
|
939 else |
|
|
940 { |
|
1948
|
941 info = 0; |
|
|
942 |
|
|
943 Array<int> ipvt (nr); |
|
|
944 int *pipvt = ipvt.fortran_vec (); |
|
|
945 |
|
|
946 Array<double> z (nr); |
|
|
947 double *pz = z.fortran_vec (); |
|
|
948 |
|
|
949 Matrix atmp = *this; |
|
|
950 double *tmp_data = atmp.fortran_vec (); |
|
|
951 |
|
|
952 F77_XFCN (dgeco, DGECO, (tmp_data, nr, nr, pipvt, rcond, pz)); |
|
|
953 |
|
|
954 if (f77_exception_encountered) |
|
|
955 (*current_liboctave_error_handler) ("unrecoverable error in dgeco"); |
|
|
956 else |
|
|
957 { |
|
|
958 volatile double rcond_plus_one = rcond + 1.0; |
|
|
959 |
|
|
960 if (rcond_plus_one == 1.0) |
|
|
961 { |
|
|
962 info = -2; |
|
|
963 } |
|
|
964 else |
|
|
965 { |
|
|
966 retval = b; |
|
|
967 double *result = retval.fortran_vec (); |
|
|
968 |
|
|
969 int b_nc = b.cols (); |
|
|
970 |
|
|
971 for (volatile int j = 0; j < b_nc; j++) |
|
|
972 { |
|
|
973 F77_XFCN (dgesl, DGESL, (tmp_data, nr, nr, pipvt, |
|
|
974 &result[nr*j], 0)); |
|
|
975 |
|
|
976 if (f77_exception_encountered) |
|
|
977 { |
|
|
978 (*current_liboctave_error_handler) |
|
|
979 ("unrecoverable error in dgesl"); |
|
|
980 |
|
|
981 break; |
|
|
982 } |
|
|
983 } |
|
|
984 } |
|
|
985 } |
|
458
|
986 } |
|
|
987 |
|
|
988 return retval; |
|
|
989 } |
|
|
990 |
|
|
991 ComplexMatrix |
|
|
992 Matrix::solve (const ComplexMatrix& b) const |
|
|
993 { |
|
|
994 ComplexMatrix tmp (*this); |
|
|
995 return tmp.solve (b); |
|
|
996 } |
|
|
997 |
|
|
998 ComplexMatrix |
|
|
999 Matrix::solve (const ComplexMatrix& b, int& info) const |
|
|
1000 { |
|
|
1001 ComplexMatrix tmp (*this); |
|
|
1002 return tmp.solve (b, info); |
|
|
1003 } |
|
|
1004 |
|
|
1005 ComplexMatrix |
|
|
1006 Matrix::solve (const ComplexMatrix& b, int& info, double& rcond) const |
|
|
1007 { |
|
|
1008 ComplexMatrix tmp (*this); |
|
|
1009 return tmp.solve (b, info, rcond); |
|
|
1010 } |
|
|
1011 |
|
|
1012 ColumnVector |
|
|
1013 Matrix::solve (const ColumnVector& b) const |
|
|
1014 { |
|
|
1015 int info; double rcond; |
|
|
1016 return solve (b, info, rcond); |
|
|
1017 } |
|
|
1018 |
|
|
1019 ColumnVector |
|
|
1020 Matrix::solve (const ColumnVector& b, int& info) const |
|
|
1021 { |
|
|
1022 double rcond; |
|
|
1023 return solve (b, info, rcond); |
|
|
1024 } |
|
|
1025 |
|
|
1026 ColumnVector |
|
532
|
1027 Matrix::solve (const ColumnVector& b, int& info, double& rcond) const |
|
458
|
1028 { |
|
|
1029 ColumnVector retval; |
|
|
1030 |
|
|
1031 int nr = rows (); |
|
|
1032 int nc = cols (); |
|
1948
|
1033 |
|
458
|
1034 if (nr == 0 || nc == 0 || nr != nc || nr != b.length ()) |
|
1948
|
1035 (*current_liboctave_error_handler) |
|
|
1036 ("matrix dimension mismatch solution of linear equations"); |
|
458
|
1037 else |
|
|
1038 { |
|
1948
|
1039 info = 0; |
|
|
1040 |
|
|
1041 Array<int> ipvt (nr); |
|
|
1042 int *pipvt = ipvt.fortran_vec (); |
|
|
1043 |
|
|
1044 Array<double> z (nr); |
|
|
1045 double *pz = z.fortran_vec (); |
|
|
1046 |
|
|
1047 Matrix atmp = *this; |
|
|
1048 double *tmp_data = atmp.fortran_vec (); |
|
|
1049 |
|
|
1050 F77_XFCN (dgeco, DGECO, (tmp_data, nr, nr, pipvt, rcond, pz)); |
|
|
1051 |
|
|
1052 if (f77_exception_encountered) |
|
|
1053 (*current_liboctave_error_handler) |
|
|
1054 ("unrecoverable error in dgeco"); |
|
|
1055 else |
|
|
1056 { |
|
|
1057 volatile double rcond_plus_one = rcond + 1.0; |
|
|
1058 |
|
|
1059 if (rcond_plus_one == 1.0) |
|
|
1060 { |
|
|
1061 info = -2; |
|
|
1062 } |
|
|
1063 else |
|
|
1064 { |
|
|
1065 retval = b; |
|
|
1066 double *result = retval.fortran_vec (); |
|
|
1067 |
|
|
1068 F77_XFCN (dgesl, DGESL, (tmp_data, nr, nr, pipvt, result, 0)); |
|
|
1069 |
|
|
1070 if (f77_exception_encountered) |
|
|
1071 (*current_liboctave_error_handler) |
|
|
1072 ("unrecoverable error in dgesl"); |
|
|
1073 } |
|
|
1074 } |
|
458
|
1075 } |
|
|
1076 |
|
|
1077 return retval; |
|
|
1078 } |
|
|
1079 |
|
|
1080 ComplexColumnVector |
|
|
1081 Matrix::solve (const ComplexColumnVector& b) const |
|
|
1082 { |
|
|
1083 ComplexMatrix tmp (*this); |
|
|
1084 return tmp.solve (b); |
|
|
1085 } |
|
|
1086 |
|
|
1087 ComplexColumnVector |
|
|
1088 Matrix::solve (const ComplexColumnVector& b, int& info) const |
|
|
1089 { |
|
|
1090 ComplexMatrix tmp (*this); |
|
|
1091 return tmp.solve (b, info); |
|
|
1092 } |
|
|
1093 |
|
|
1094 ComplexColumnVector |
|
|
1095 Matrix::solve (const ComplexColumnVector& b, int& info, double& rcond) const |
|
|
1096 { |
|
|
1097 ComplexMatrix tmp (*this); |
|
|
1098 return tmp.solve (b, info, rcond); |
|
|
1099 } |
|
|
1100 |
|
|
1101 Matrix |
|
|
1102 Matrix::lssolve (const Matrix& b) const |
|
|
1103 { |
|
|
1104 int info; |
|
|
1105 int rank; |
|
|
1106 return lssolve (b, info, rank); |
|
|
1107 } |
|
|
1108 |
|
|
1109 Matrix |
|
|
1110 Matrix::lssolve (const Matrix& b, int& info) const |
|
|
1111 { |
|
|
1112 int rank; |
|
|
1113 return lssolve (b, info, rank); |
|
|
1114 } |
|
|
1115 |
|
|
1116 Matrix |
|
|
1117 Matrix::lssolve (const Matrix& b, int& info, int& rank) const |
|
|
1118 { |
|
1948
|
1119 Matrix retval; |
|
|
1120 |
|
458
|
1121 int nrhs = b.cols (); |
|
|
1122 |
|
|
1123 int m = rows (); |
|
|
1124 int n = cols (); |
|
|
1125 |
|
|
1126 if (m == 0 || n == 0 || m != b.rows ()) |
|
1948
|
1127 (*current_liboctave_error_handler) |
|
|
1128 ("matrix dimension mismatch in solution of least squares problem"); |
|
|
1129 else |
|
458
|
1130 { |
|
1948
|
1131 Matrix atmp = *this; |
|
|
1132 double *tmp_data = atmp.fortran_vec (); |
|
|
1133 |
|
|
1134 int nrr = m > n ? m : n; |
|
|
1135 Matrix result (nrr, nrhs); |
|
|
1136 |
|
|
1137 for (int j = 0; j < nrhs; j++) |
|
|
1138 for (int i = 0; i < m; i++) |
|
|
1139 result.elem (i, j) = b.elem (i, j); |
|
|
1140 |
|
|
1141 double *presult = result.fortran_vec (); |
|
|
1142 |
|
|
1143 int len_s = m < n ? m : n; |
|
|
1144 Array<double> s (len_s); |
|
|
1145 double *ps = s.fortran_vec (); |
|
|
1146 |
|
|
1147 double rcond = -1.0; |
|
|
1148 |
|
|
1149 int lwork; |
|
|
1150 if (m < n) |
|
|
1151 lwork = 3*m + (2*m > nrhs |
|
|
1152 ? (2*m > n ? 2*m : n) |
|
|
1153 : (nrhs > n ? nrhs : n)); |
|
|
1154 else |
|
|
1155 lwork = 3*n + (2*n > nrhs |
|
|
1156 ? (2*n > m ? 2*n : m) |
|
|
1157 : (nrhs > m ? nrhs : m)); |
|
|
1158 |
|
|
1159 Array<double> work (lwork); |
|
|
1160 double *pwork = work.fortran_vec (); |
|
|
1161 |
|
|
1162 F77_XFCN (dgelss, DGELSS, (m, n, nrhs, tmp_data, m, presult, nrr, ps, |
|
|
1163 rcond, rank, pwork, lwork, info)); |
|
|
1164 |
|
|
1165 if (f77_exception_encountered) |
|
|
1166 (*current_liboctave_error_handler) ("unrecoverable error in dgelss"); |
|
|
1167 else |
|
|
1168 { |
|
|
1169 retval.resize (n, nrhs); |
|
|
1170 for (int j = 0; j < nrhs; j++) |
|
|
1171 for (int i = 0; i < n; i++) |
|
|
1172 retval.elem (i, j) = result.elem (i, j); |
|
|
1173 } |
|
458
|
1174 } |
|
|
1175 |
|
|
1176 return retval; |
|
|
1177 } |
|
|
1178 |
|
|
1179 ComplexMatrix |
|
|
1180 Matrix::lssolve (const ComplexMatrix& b) const |
|
|
1181 { |
|
|
1182 ComplexMatrix tmp (*this); |
|
1484
|
1183 int info; |
|
|
1184 int rank; |
|
|
1185 return tmp.lssolve (b, info, rank); |
|
458
|
1186 } |
|
|
1187 |
|
|
1188 ComplexMatrix |
|
|
1189 Matrix::lssolve (const ComplexMatrix& b, int& info) const |
|
|
1190 { |
|
|
1191 ComplexMatrix tmp (*this); |
|
1484
|
1192 int rank; |
|
|
1193 return tmp.lssolve (b, info, rank); |
|
458
|
1194 } |
|
|
1195 |
|
|
1196 ComplexMatrix |
|
|
1197 Matrix::lssolve (const ComplexMatrix& b, int& info, int& rank) const |
|
|
1198 { |
|
|
1199 ComplexMatrix tmp (*this); |
|
1484
|
1200 return tmp.lssolve (b, info, rank); |
|
458
|
1201 } |
|
|
1202 |
|
|
1203 ColumnVector |
|
|
1204 Matrix::lssolve (const ColumnVector& b) const |
|
|
1205 { |
|
|
1206 int info; |
|
1484
|
1207 int rank; |
|
|
1208 return lssolve (b, info, rank); |
|
458
|
1209 } |
|
|
1210 |
|
|
1211 ColumnVector |
|
|
1212 Matrix::lssolve (const ColumnVector& b, int& info) const |
|
|
1213 { |
|
|
1214 int rank; |
|
|
1215 return lssolve (b, info, rank); |
|
|
1216 } |
|
|
1217 |
|
|
1218 ColumnVector |
|
|
1219 Matrix::lssolve (const ColumnVector& b, int& info, int& rank) const |
|
|
1220 { |
|
1948
|
1221 ColumnVector retval; |
|
|
1222 |
|
458
|
1223 int nrhs = 1; |
|
|
1224 |
|
|
1225 int m = rows (); |
|
|
1226 int n = cols (); |
|
|
1227 |
|
|
1228 if (m == 0 || n == 0 || m != b.length ()) |
|
1948
|
1229 (*current_liboctave_error_handler) |
|
|
1230 ("matrix dimension mismatch in solution of least squares problem"); |
|
|
1231 else |
|
458
|
1232 { |
|
1948
|
1233 Matrix atmp = *this; |
|
|
1234 double *tmp_data = atmp.fortran_vec (); |
|
|
1235 |
|
|
1236 int nrr = m > n ? m : n; |
|
|
1237 ColumnVector result (nrr); |
|
|
1238 |
|
|
1239 for (int i = 0; i < m; i++) |
|
|
1240 result.elem (i) = b.elem (i); |
|
|
1241 |
|
|
1242 double *presult = result.fortran_vec (); |
|
|
1243 |
|
|
1244 int len_s = m < n ? m : n; |
|
|
1245 Array<double> s (len_s); |
|
|
1246 double *ps = s.fortran_vec (); |
|
|
1247 |
|
|
1248 double rcond = -1.0; |
|
|
1249 |
|
|
1250 int lwork; |
|
|
1251 if (m < n) |
|
|
1252 lwork = 3*m + (2*m > nrhs |
|
|
1253 ? (2*m > n ? 2*m : n) |
|
|
1254 : (nrhs > n ? nrhs : n)); |
|
|
1255 else |
|
|
1256 lwork = 3*n + (2*n > nrhs |
|
|
1257 ? (2*n > m ? 2*n : m) |
|
|
1258 : (nrhs > m ? nrhs : m)); |
|
|
1259 |
|
|
1260 Array<double> work (lwork); |
|
|
1261 double *pwork = work.fortran_vec (); |
|
|
1262 |
|
|
1263 F77_XFCN (dgelss, DGELSS, (m, n, nrhs, tmp_data, m, presult, nrr, |
|
|
1264 ps, rcond, rank, pwork, lwork, info)); |
|
|
1265 |
|
|
1266 if (f77_exception_encountered) |
|
|
1267 (*current_liboctave_error_handler) ("unrecoverable error in dgelss"); |
|
|
1268 else |
|
|
1269 { |
|
|
1270 retval.resize (n); |
|
|
1271 for (int i = 0; i < n; i++) |
|
|
1272 retval.elem (i) = result.elem (i); |
|
|
1273 } |
|
458
|
1274 } |
|
|
1275 |
|
|
1276 return retval; |
|
|
1277 } |
|
|
1278 |
|
|
1279 ComplexColumnVector |
|
|
1280 Matrix::lssolve (const ComplexColumnVector& b) const |
|
|
1281 { |
|
|
1282 ComplexMatrix tmp (*this); |
|
|
1283 return tmp.lssolve (b); |
|
|
1284 } |
|
|
1285 |
|
|
1286 ComplexColumnVector |
|
|
1287 Matrix::lssolve (const ComplexColumnVector& b, int& info) const |
|
|
1288 { |
|
|
1289 ComplexMatrix tmp (*this); |
|
|
1290 return tmp.lssolve (b, info); |
|
|
1291 } |
|
|
1292 |
|
|
1293 ComplexColumnVector |
|
|
1294 Matrix::lssolve (const ComplexColumnVector& b, int& info, int& rank) const |
|
|
1295 { |
|
|
1296 ComplexMatrix tmp (*this); |
|
|
1297 return tmp.lssolve (b, info, rank); |
|
|
1298 } |
|
|
1299 |
|
1819
|
1300 // Constants for matrix exponential calculation. |
|
|
1301 |
|
|
1302 static double padec [] = |
|
|
1303 { |
|
|
1304 5.0000000000000000e-1, |
|
|
1305 1.1666666666666667e-1, |
|
|
1306 1.6666666666666667e-2, |
|
|
1307 1.6025641025641026e-3, |
|
|
1308 1.0683760683760684e-4, |
|
|
1309 4.8562548562548563e-6, |
|
|
1310 1.3875013875013875e-7, |
|
|
1311 1.9270852604185938e-9, |
|
|
1312 }; |
|
|
1313 |
|
|
1314 Matrix |
|
|
1315 Matrix::expm (void) const |
|
|
1316 { |
|
|
1317 Matrix retval; |
|
|
1318 |
|
|
1319 Matrix m = *this; |
|
|
1320 |
|
|
1321 int nc = columns (); |
|
|
1322 |
|
|
1323 // trace shift value |
|
|
1324 double trshift = 0; |
|
|
1325 |
|
|
1326 // Preconditioning step 1: trace normalization. |
|
|
1327 |
|
|
1328 for (int i = 0; i < nc; i++) |
|
|
1329 trshift += m.elem (i, i); |
|
|
1330 |
|
|
1331 trshift /= nc; |
|
|
1332 |
|
|
1333 for (int i = 0; i < nc; i++) |
|
|
1334 m.elem (i, i) -= trshift; |
|
|
1335 |
|
|
1336 // Preconditioning step 2: balancing. |
|
|
1337 |
|
|
1338 AEPBALANCE mbal (m, "B"); |
|
|
1339 m = mbal.balanced_matrix (); |
|
|
1340 Matrix d = mbal.balancing_matrix (); |
|
|
1341 |
|
|
1342 // Preconditioning step 3: scaling. |
|
|
1343 |
|
|
1344 ColumnVector work(nc); |
|
|
1345 double inf_norm |
|
|
1346 = F77_FCN (dlange, DLANGE) ("I", nc, nc, m.fortran_vec (),nc, |
|
|
1347 work.fortran_vec ()); |
|
|
1348 |
|
|
1349 int sqpow = (int) (inf_norm > 0.0 |
|
|
1350 ? (1.0 + log (inf_norm) / log (2.0)) |
|
|
1351 : 0.0); |
|
|
1352 |
|
|
1353 // Check whether we need to square at all. |
|
|
1354 |
|
|
1355 if (sqpow < 0) |
|
|
1356 sqpow = 0; |
|
|
1357 |
|
|
1358 if (sqpow > 0) |
|
|
1359 { |
|
|
1360 double scale_factor = 1.0; |
|
|
1361 for (int i = 0; i < sqpow; i++) |
|
|
1362 scale_factor *= 2.0; |
|
|
1363 |
|
|
1364 m = m / scale_factor; |
|
|
1365 } |
|
|
1366 |
|
|
1367 // npp, dpp: pade' approx polynomial matrices. |
|
|
1368 |
|
|
1369 Matrix npp (nc, nc, 0.0); |
|
|
1370 Matrix dpp = npp; |
|
|
1371 |
|
|
1372 // Now powers a^8 ... a^1. |
|
|
1373 |
|
|
1374 int minus_one_j = -1; |
|
|
1375 for (int j = 7; j >= 0; j--) |
|
|
1376 { |
|
|
1377 npp = m * npp + m * padec[j]; |
|
|
1378 dpp = m * dpp + m * (minus_one_j * padec[j]); |
|
|
1379 minus_one_j *= -1; |
|
|
1380 } |
|
|
1381 |
|
|
1382 // Zero power. |
|
|
1383 |
|
|
1384 dpp = -dpp; |
|
|
1385 for(int j = 0; j < nc; j++) |
|
|
1386 { |
|
|
1387 npp.elem (j, j) += 1.0; |
|
|
1388 dpp.elem (j, j) += 1.0; |
|
|
1389 } |
|
|
1390 |
|
|
1391 // Compute pade approximation = inverse (dpp) * npp. |
|
|
1392 |
|
|
1393 retval = dpp.solve (npp); |
|
|
1394 |
|
|
1395 // Reverse preconditioning step 3: repeated squaring. |
|
|
1396 |
|
|
1397 while (sqpow) |
|
|
1398 { |
|
|
1399 retval = retval * retval; |
|
|
1400 sqpow--; |
|
|
1401 } |
|
|
1402 |
|
|
1403 // Reverse preconditioning step 2: inverse balancing. |
|
|
1404 |
|
|
1405 retval = retval.transpose(); |
|
|
1406 d = d.transpose (); |
|
|
1407 retval = retval * d; |
|
|
1408 retval = d.solve (retval); |
|
|
1409 retval = retval.transpose (); |
|
|
1410 |
|
|
1411 // Reverse preconditioning step 1: fix trace normalization. |
|
|
1412 |
|
|
1413 return retval * exp (trshift); |
|
|
1414 } |
|
|
1415 |
|
458
|
1416 Matrix& |
|
|
1417 Matrix::operator += (const Matrix& a) |
|
|
1418 { |
|
|
1419 int nr = rows (); |
|
|
1420 int nc = cols (); |
|
|
1421 if (nr != a.rows () || nc != a.cols ()) |
|
|
1422 { |
|
|
1423 (*current_liboctave_error_handler) |
|
|
1424 ("nonconformant matrix += operation attempted"); |
|
|
1425 return *this; |
|
|
1426 } |
|
|
1427 |
|
|
1428 if (nr == 0 || nc == 0) |
|
|
1429 return *this; |
|
|
1430 |
|
|
1431 double *d = fortran_vec (); // Ensures only one reference to my privates! |
|
|
1432 |
|
|
1433 add2 (d, a.data (), length ()); |
|
|
1434 |
|
|
1435 return *this; |
|
|
1436 } |
|
|
1437 |
|
|
1438 Matrix& |
|
|
1439 Matrix::operator -= (const Matrix& a) |
|
|
1440 { |
|
|
1441 int nr = rows (); |
|
|
1442 int nc = cols (); |
|
|
1443 if (nr != a.rows () || nc != a.cols ()) |
|
|
1444 { |
|
|
1445 (*current_liboctave_error_handler) |
|
|
1446 ("nonconformant matrix -= operation attempted"); |
|
|
1447 return *this; |
|
|
1448 } |
|
|
1449 |
|
|
1450 if (nr == 0 || nc == 0) |
|
|
1451 return *this; |
|
|
1452 |
|
|
1453 double *d = fortran_vec (); // Ensures only one reference to my privates! |
|
|
1454 |
|
|
1455 subtract2 (d, a.data (), length ()); |
|
|
1456 |
|
|
1457 return *this; |
|
|
1458 } |
|
|
1459 |
|
|
1460 Matrix& |
|
|
1461 Matrix::operator += (const DiagMatrix& a) |
|
|
1462 { |
|
|
1463 if (rows () != a.rows () || cols () != a.cols ()) |
|
|
1464 { |
|
|
1465 (*current_liboctave_error_handler) |
|
|
1466 ("nonconformant matrix += operation attempted"); |
|
|
1467 return *this; |
|
|
1468 } |
|
|
1469 |
|
|
1470 for (int i = 0; i < a.length (); i++) |
|
|
1471 elem (i, i) += a.elem (i, i); |
|
|
1472 |
|
|
1473 return *this; |
|
|
1474 } |
|
|
1475 |
|
|
1476 Matrix& |
|
|
1477 Matrix::operator -= (const DiagMatrix& a) |
|
|
1478 { |
|
|
1479 if (rows () != a.rows () || cols () != a.cols ()) |
|
|
1480 { |
|
|
1481 (*current_liboctave_error_handler) |
|
|
1482 ("nonconformant matrix += operation attempted"); |
|
|
1483 return *this; |
|
|
1484 } |
|
|
1485 |
|
|
1486 for (int i = 0; i < a.length (); i++) |
|
|
1487 elem (i, i) -= a.elem (i, i); |
|
|
1488 |
|
|
1489 return *this; |
|
|
1490 } |
|
|
1491 |
|
|
1492 // unary operations |
|
|
1493 |
|
|
1494 Matrix |
|
|
1495 Matrix::operator ! (void) const |
|
|
1496 { |
|
|
1497 int nr = rows (); |
|
|
1498 int nc = cols (); |
|
|
1499 |
|
|
1500 Matrix b (nr, nc); |
|
|
1501 |
|
|
1502 for (int j = 0; j < nc; j++) |
|
|
1503 for (int i = 0; i < nr; i++) |
|
|
1504 b.elem (i, j) = ! elem (i, j); |
|
|
1505 |
|
|
1506 return b; |
|
|
1507 } |
|
|
1508 |
|
1205
|
1509 // column vector by row vector -> matrix operations |
|
458
|
1510 |
|
1205
|
1511 Matrix |
|
|
1512 operator * (const ColumnVector& v, const RowVector& a) |
|
458
|
1513 { |
|
1948
|
1514 Matrix retval; |
|
|
1515 |
|
1205
|
1516 int len = v.length (); |
|
|
1517 int a_len = a.length (); |
|
1948
|
1518 |
|
1205
|
1519 if (len != a_len) |
|
1948
|
1520 (*current_liboctave_error_handler) |
|
|
1521 ("nonconformant vector multiplication attempted"); |
|
|
1522 else |
|
1205
|
1523 { |
|
1948
|
1524 if (len != 0) |
|
|
1525 { |
|
|
1526 retval.resize (len, a_len); |
|
|
1527 double *c = retval.fortran_vec (); |
|
|
1528 |
|
|
1529 F77_XFCN (dgemm, DGEMM, ("N", "N", len, a_len, 1, 1.0, |
|
|
1530 v.data (), len, a.data (), 1, 0.0, |
|
|
1531 c, len, 1L, 1L)); |
|
|
1532 |
|
|
1533 if (f77_exception_encountered) |
|
|
1534 (*current_liboctave_error_handler) |
|
|
1535 ("unrecoverable error in dgemm"); |
|
|
1536 } |
|
1205
|
1537 } |
|
458
|
1538 |
|
1948
|
1539 return retval; |
|
458
|
1540 } |
|
|
1541 |
|
1205
|
1542 // diagonal matrix by scalar -> matrix operations |
|
|
1543 |
|
|
1544 Matrix |
|
|
1545 operator + (const DiagMatrix& a, double s) |
|
458
|
1546 { |
|
1205
|
1547 Matrix tmp (a.rows (), a.cols (), s); |
|
|
1548 return a + tmp; |
|
458
|
1549 } |
|
|
1550 |
|
1205
|
1551 Matrix |
|
|
1552 operator - (const DiagMatrix& a, double s) |
|
458
|
1553 { |
|
1205
|
1554 Matrix tmp (a.rows (), a.cols (), -s); |
|
|
1555 return a + tmp; |
|
458
|
1556 } |
|
|
1557 |
|
1205
|
1558 // scalar by diagonal matrix -> matrix operations |
|
|
1559 |
|
|
1560 Matrix |
|
|
1561 operator + (double s, const DiagMatrix& a) |
|
458
|
1562 { |
|
1205
|
1563 Matrix tmp (a.rows (), a.cols (), s); |
|
|
1564 return tmp + a; |
|
|
1565 } |
|
|
1566 |
|
|
1567 Matrix |
|
|
1568 operator - (double s, const DiagMatrix& a) |
|
|
1569 { |
|
|
1570 Matrix tmp (a.rows (), a.cols (), s); |
|
|
1571 return tmp - a; |
|
458
|
1572 } |
|
|
1573 |
|
|
1574 // matrix by diagonal matrix -> matrix operations |
|
|
1575 |
|
|
1576 Matrix |
|
|
1577 operator + (const Matrix& m, const DiagMatrix& a) |
|
|
1578 { |
|
|
1579 int nr = m.rows (); |
|
|
1580 int nc = m.cols (); |
|
|
1581 if (nr != a.rows () || nc != a.cols ()) |
|
|
1582 { |
|
|
1583 (*current_liboctave_error_handler) |
|
|
1584 ("nonconformant matrix addition attempted"); |
|
|
1585 return Matrix (); |
|
|
1586 } |
|
|
1587 |
|
|
1588 if (nr == 0 || nc == 0) |
|
|
1589 return Matrix (nr, nc); |
|
|
1590 |
|
|
1591 Matrix result (m); |
|
|
1592 int a_len = a.length (); |
|
|
1593 for (int i = 0; i < a_len; i++) |
|
|
1594 result.elem (i, i) += a.elem (i, i); |
|
|
1595 |
|
|
1596 return result; |
|
|
1597 } |
|
|
1598 |
|
|
1599 Matrix |
|
|
1600 operator - (const Matrix& m, const DiagMatrix& a) |
|
|
1601 { |
|
|
1602 int nr = m.rows (); |
|
|
1603 int nc = m.cols (); |
|
|
1604 if (nr != a.rows () || nc != a.cols ()) |
|
|
1605 { |
|
|
1606 (*current_liboctave_error_handler) |
|
|
1607 ("nonconformant matrix subtraction attempted"); |
|
|
1608 return Matrix (); |
|
|
1609 } |
|
|
1610 |
|
|
1611 if (nr == 0 || nc == 0) |
|
|
1612 return Matrix (nr, nc); |
|
|
1613 |
|
|
1614 Matrix result (m); |
|
|
1615 int a_len = a.length (); |
|
|
1616 for (int i = 0; i < a_len; i++) |
|
|
1617 result.elem (i, i) -= a.elem (i, i); |
|
|
1618 |
|
|
1619 return result; |
|
|
1620 } |
|
|
1621 |
|
|
1622 Matrix |
|
|
1623 operator * (const Matrix& m, const DiagMatrix& a) |
|
|
1624 { |
|
1948
|
1625 Matrix retval; |
|
|
1626 |
|
458
|
1627 int nr = m.rows (); |
|
|
1628 int nc = m.cols (); |
|
1948
|
1629 |
|
458
|
1630 int a_nr = a.rows (); |
|
|
1631 int a_nc = a.cols (); |
|
1948
|
1632 |
|
458
|
1633 if (nc != a_nr) |
|
1948
|
1634 (*current_liboctave_error_handler) |
|
|
1635 ("nonconformant matrix multiplication attempted"); |
|
|
1636 else |
|
458
|
1637 { |
|
1948
|
1638 if (nr == 0 || nc == 0 || a_nc == 0) |
|
|
1639 retval.resize (nr, a_nc, 0.0); |
|
458
|
1640 else |
|
|
1641 { |
|
1948
|
1642 retval.resize (nr, a_nc); |
|
|
1643 double *c = retval.fortran_vec (); |
|
|
1644 |
|
|
1645 double *ctmp = 0; |
|
|
1646 |
|
|
1647 int a_len = a.length (); |
|
|
1648 |
|
|
1649 for (int j = 0; j < a_len; j++) |
|
|
1650 { |
|
|
1651 int idx = j * nr; |
|
|
1652 ctmp = c + idx; |
|
|
1653 |
|
|
1654 if (a.elem (j, j) == 1.0) |
|
|
1655 { |
|
|
1656 for (int i = 0; i < nr; i++) |
|
|
1657 ctmp[i] = m.elem (i, j); |
|
|
1658 } |
|
|
1659 else if (a.elem (j, j) == 0.0) |
|
|
1660 { |
|
|
1661 for (int i = 0; i < nr; i++) |
|
|
1662 ctmp[i] = 0.0; |
|
|
1663 } |
|
|
1664 else |
|
|
1665 { |
|
|
1666 for (int i = 0; i < nr; i++) |
|
|
1667 ctmp[i] = a.elem (j, j) * m.elem (i, j); |
|
|
1668 } |
|
|
1669 } |
|
|
1670 |
|
|
1671 if (a_nr < a_nc) |
|
|
1672 { |
|
|
1673 for (int i = nr * nc; i < nr * a_nc; i++) |
|
|
1674 ctmp[i] = 0.0; |
|
|
1675 } |
|
458
|
1676 } |
|
|
1677 } |
|
|
1678 |
|
1948
|
1679 return retval; |
|
458
|
1680 } |
|
|
1681 |
|
1205
|
1682 // diagonal matrix by matrix -> matrix operations |
|
|
1683 |
|
|
1684 Matrix |
|
|
1685 operator + (const DiagMatrix& m, const Matrix& a) |
|
458
|
1686 { |
|
|
1687 int nr = m.rows (); |
|
|
1688 int nc = m.cols (); |
|
|
1689 if (nr != a.rows () || nc != a.cols ()) |
|
|
1690 { |
|
|
1691 (*current_liboctave_error_handler) |
|
|
1692 ("nonconformant matrix addition attempted"); |
|
1205
|
1693 return Matrix (); |
|
458
|
1694 } |
|
|
1695 |
|
|
1696 if (nr == 0 || nc == 0) |
|
1205
|
1697 return Matrix (nr, nc); |
|
458
|
1698 |
|
1205
|
1699 Matrix result (a); |
|
|
1700 for (int i = 0; i < m.length (); i++) |
|
|
1701 result.elem (i, i) += m.elem (i, i); |
|
458
|
1702 |
|
|
1703 return result; |
|
|
1704 } |
|
|
1705 |
|
1205
|
1706 Matrix |
|
|
1707 operator - (const DiagMatrix& m, const Matrix& a) |
|
458
|
1708 { |
|
|
1709 int nr = m.rows (); |
|
|
1710 int nc = m.cols (); |
|
|
1711 if (nr != a.rows () || nc != a.cols ()) |
|
|
1712 { |
|
|
1713 (*current_liboctave_error_handler) |
|
|
1714 ("nonconformant matrix subtraction attempted"); |
|
1205
|
1715 return Matrix (); |
|
458
|
1716 } |
|
|
1717 |
|
|
1718 if (nr == 0 || nc == 0) |
|
1205
|
1719 return Matrix (nr, nc); |
|
458
|
1720 |
|
1205
|
1721 Matrix result (-a); |
|
|
1722 for (int i = 0; i < m.length (); i++) |
|
|
1723 result.elem (i, i) += m.elem (i, i); |
|
458
|
1724 |
|
|
1725 return result; |
|
|
1726 } |
|
|
1727 |
|
1205
|
1728 Matrix |
|
|
1729 operator * (const DiagMatrix& m, const Matrix& a) |
|
458
|
1730 { |
|
|
1731 int nr = m.rows (); |
|
|
1732 int nc = m.cols (); |
|
|
1733 int a_nr = a.rows (); |
|
|
1734 int a_nc = a.cols (); |
|
|
1735 if (nc != a_nr) |
|
|
1736 { |
|
|
1737 (*current_liboctave_error_handler) |
|
|
1738 ("nonconformant matrix multiplication attempted"); |
|
1205
|
1739 return Matrix (); |
|
458
|
1740 } |
|
|
1741 |
|
|
1742 if (nr == 0 || nc == 0 || a_nc == 0) |
|
1205
|
1743 return Matrix (nr, a_nc, 0.0); |
|
458
|
1744 |
|
1205
|
1745 Matrix c (nr, a_nc); |
|
458
|
1746 |
|
1205
|
1747 for (int i = 0; i < m.length (); i++) |
|
458
|
1748 { |
|
1205
|
1749 if (m.elem (i, i) == 1.0) |
|
458
|
1750 { |
|
1205
|
1751 for (int j = 0; j < a_nc; j++) |
|
|
1752 c.elem (i, j) = a.elem (i, j); |
|
458
|
1753 } |
|
1205
|
1754 else if (m.elem (i, i) == 0.0) |
|
458
|
1755 { |
|
1205
|
1756 for (int j = 0; j < a_nc; j++) |
|
|
1757 c.elem (i, j) = 0.0; |
|
458
|
1758 } |
|
|
1759 else |
|
|
1760 { |
|
1205
|
1761 for (int j = 0; j < a_nc; j++) |
|
|
1762 c.elem (i, j) = m.elem (i, i) * a.elem (i, j); |
|
458
|
1763 } |
|
|
1764 } |
|
|
1765 |
|
1205
|
1766 if (nr > nc) |
|
458
|
1767 { |
|
1205
|
1768 for (int j = 0; j < a_nc; j++) |
|
|
1769 for (int i = a_nr; i < nr; i++) |
|
|
1770 c.elem (i, j) = 0.0; |
|
458
|
1771 } |
|
|
1772 |
|
1205
|
1773 return c; |
|
458
|
1774 } |
|
|
1775 |
|
|
1776 // matrix by matrix -> matrix operations |
|
|
1777 |
|
|
1778 Matrix |
|
|
1779 operator * (const Matrix& m, const Matrix& a) |
|
|
1780 { |
|
1948
|
1781 Matrix retval; |
|
|
1782 |
|
458
|
1783 int nr = m.rows (); |
|
|
1784 int nc = m.cols (); |
|
1948
|
1785 |
|
458
|
1786 int a_nr = a.rows (); |
|
|
1787 int a_nc = a.cols (); |
|
1948
|
1788 |
|
458
|
1789 if (nc != a_nr) |
|
1948
|
1790 (*current_liboctave_error_handler) |
|
|
1791 ("nonconformant matrix multiplication attempted"); |
|
|
1792 else |
|
458
|
1793 { |
|
1948
|
1794 if (nr == 0 || nc == 0 || a_nc == 0) |
|
|
1795 retval.resize (nr, a_nc, 0.0); |
|
|
1796 else |
|
|
1797 { |
|
|
1798 int ld = nr; |
|
|
1799 int lda = a_nr; |
|
|
1800 |
|
|
1801 retval.resize (nr, a_nc); |
|
|
1802 double *c = retval.fortran_vec (); |
|
|
1803 |
|
|
1804 F77_XFCN (dgemm, DGEMM, ("N", "N", nr, a_nc, nc, 1.0, |
|
|
1805 m.data (), ld, a.data (), lda, 0.0, |
|
|
1806 c, nr, 1L, 1L)); |
|
|
1807 |
|
|
1808 if (f77_exception_encountered) |
|
|
1809 (*current_liboctave_error_handler) |
|
|
1810 ("unrecoverable error in dgemm"); |
|
|
1811 } |
|
458
|
1812 } |
|
|
1813 |
|
1948
|
1814 return retval; |
|
458
|
1815 } |
|
|
1816 |
|
|
1817 // other operations. |
|
|
1818 |
|
|
1819 Matrix |
|
|
1820 map (d_d_Mapper f, const Matrix& a) |
|
|
1821 { |
|
|
1822 Matrix b (a); |
|
|
1823 b.map (f); |
|
|
1824 return b; |
|
|
1825 } |
|
|
1826 |
|
1205
|
1827 Matrix |
|
|
1828 map (d_c_Mapper f, const ComplexMatrix& a) |
|
|
1829 { |
|
|
1830 int a_nc = a.cols (); |
|
|
1831 int a_nr = a.rows (); |
|
|
1832 Matrix b (a_nr, a_nc); |
|
|
1833 for (int j = 0; j < a_nc; j++) |
|
|
1834 for (int i = 0; i < a_nr; i++) |
|
|
1835 b.elem (i, j) = f (a.elem (i, j)); |
|
|
1836 return b; |
|
|
1837 } |
|
|
1838 |
|
458
|
1839 void |
|
|
1840 Matrix::map (d_d_Mapper f) |
|
|
1841 { |
|
|
1842 double *d = fortran_vec (); // Ensures only one reference to my privates! |
|
|
1843 |
|
|
1844 for (int i = 0; i < length (); i++) |
|
|
1845 d[i] = f (d[i]); |
|
|
1846 } |
|
|
1847 |
|
1968
|
1848 // Return nonzero if any element of M is not an integer. Also extract |
|
|
1849 // the largest and smallest values and return them in MAX_VAL and MIN_VAL. |
|
|
1850 |
|
|
1851 int |
|
|
1852 Matrix::all_integers (double& max_val, double& min_val) const |
|
|
1853 { |
|
|
1854 int nr = rows (); |
|
|
1855 int nc = cols (); |
|
|
1856 |
|
|
1857 if (nr > 0 && nc > 0) |
|
|
1858 { |
|
|
1859 max_val = elem (0, 0); |
|
|
1860 min_val = elem (0, 0); |
|
|
1861 } |
|
|
1862 else |
|
|
1863 return 0; |
|
|
1864 |
|
|
1865 for (int j = 0; j < nc; j++) |
|
|
1866 for (int i = 0; i < nr; i++) |
|
|
1867 { |
|
|
1868 double val = elem (i, j); |
|
|
1869 |
|
|
1870 if (val > max_val) |
|
|
1871 max_val = val; |
|
|
1872 |
|
|
1873 if (val < min_val) |
|
|
1874 min_val = val; |
|
|
1875 |
|
|
1876 if (D_NINT (val) != val) |
|
|
1877 return 0; |
|
|
1878 } |
|
|
1879 return 1; |
|
|
1880 } |
|
|
1881 |
|
|
1882 int |
|
|
1883 Matrix::too_large_for_float (void) const |
|
|
1884 { |
|
|
1885 int nr = rows (); |
|
|
1886 int nc = columns (); |
|
|
1887 |
|
|
1888 for (int j = 0; j < nc; j++) |
|
|
1889 for (int i = 0; i < nr; i++) |
|
|
1890 { |
|
|
1891 double val = elem (i, j); |
|
|
1892 |
|
|
1893 if (val > FLT_MAX || val < FLT_MIN) |
|
|
1894 return 1; |
|
|
1895 } |
|
|
1896 |
|
|
1897 return 0; |
|
|
1898 } |
|
|
1899 |
|
458
|
1900 // XXX FIXME XXX Do these really belong here? They should maybe be |
|
|
1901 // cleaned up a bit, no? What about corresponding functions for the |
|
|
1902 // Vectors? |
|
|
1903 |
|
|
1904 Matrix |
|
|
1905 Matrix::all (void) const |
|
|
1906 { |
|
|
1907 int nr = rows (); |
|
|
1908 int nc = cols (); |
|
|
1909 Matrix retval; |
|
|
1910 if (nr > 0 && nc > 0) |
|
|
1911 { |
|
|
1912 if (nr == 1) |
|
|
1913 { |
|
|
1914 retval.resize (1, 1); |
|
|
1915 retval.elem (0, 0) = 1.0; |
|
|
1916 for (int j = 0; j < nc; j++) |
|
|
1917 { |
|
|
1918 if (elem (0, j) == 0.0) |
|
|
1919 { |
|
|
1920 retval.elem (0, 0) = 0.0; |
|
|
1921 break; |
|
|
1922 } |
|
|
1923 } |
|
|
1924 } |
|
|
1925 else if (nc == 1) |
|
|
1926 { |
|
|
1927 retval.resize (1, 1); |
|
|
1928 retval.elem (0, 0) = 1.0; |
|
|
1929 for (int i = 0; i < nr; i++) |
|
|
1930 { |
|
|
1931 if (elem (i, 0) == 0.0) |
|
|
1932 { |
|
|
1933 retval.elem (0, 0) = 0.0; |
|
|
1934 break; |
|
|
1935 } |
|
|
1936 } |
|
|
1937 } |
|
|
1938 else |
|
|
1939 { |
|
|
1940 retval.resize (1, nc); |
|
|
1941 for (int j = 0; j < nc; j++) |
|
|
1942 { |
|
|
1943 retval.elem (0, j) = 1.0; |
|
|
1944 for (int i = 0; i < nr; i++) |
|
|
1945 { |
|
|
1946 if (elem (i, j) == 0.0) |
|
|
1947 { |
|
|
1948 retval.elem (0, j) = 0.0; |
|
|
1949 break; |
|
|
1950 } |
|
|
1951 } |
|
|
1952 } |
|
|
1953 } |
|
|
1954 } |
|
|
1955 return retval; |
|
|
1956 } |
|
|
1957 |
|
|
1958 Matrix |
|
|
1959 Matrix::any (void) const |
|
|
1960 { |
|
|
1961 int nr = rows (); |
|
|
1962 int nc = cols (); |
|
|
1963 Matrix retval; |
|
|
1964 if (nr > 0 && nc > 0) |
|
|
1965 { |
|
|
1966 if (nr == 1) |
|
|
1967 { |
|
|
1968 retval.resize (1, 1); |
|
|
1969 retval.elem (0, 0) = 0.0; |
|
|
1970 for (int j = 0; j < nc; j++) |
|
|
1971 { |
|
|
1972 if (elem (0, j) != 0.0) |
|
|
1973 { |
|
|
1974 retval.elem (0, 0) = 1.0; |
|
|
1975 break; |
|
|
1976 } |
|
|
1977 } |
|
|
1978 } |
|
|
1979 else if (nc == 1) |
|
|
1980 { |
|
|
1981 retval.resize (1, 1); |
|
|
1982 retval.elem (0, 0) = 0.0; |
|
|
1983 for (int i = 0; i < nr; i++) |
|
|
1984 { |
|
|
1985 if (elem (i, 0) != 0.0) |
|
|
1986 { |
|
|
1987 retval.elem (0, 0) = 1.0; |
|
|
1988 break; |
|
|
1989 } |
|
|
1990 } |
|
|
1991 } |
|
|
1992 else |
|
|
1993 { |
|
|
1994 retval.resize (1, nc); |
|
|
1995 for (int j = 0; j < nc; j++) |
|
|
1996 { |
|
|
1997 retval.elem (0, j) = 0.0; |
|
|
1998 for (int i = 0; i < nr; i++) |
|
|
1999 { |
|
|
2000 if (elem (i, j) != 0.0) |
|
|
2001 { |
|
|
2002 retval.elem (0, j) = 1.0; |
|
|
2003 break; |
|
|
2004 } |
|
|
2005 } |
|
|
2006 } |
|
|
2007 } |
|
|
2008 } |
|
|
2009 return retval; |
|
|
2010 } |
|
|
2011 |
|
|
2012 Matrix |
|
|
2013 Matrix::cumprod (void) const |
|
|
2014 { |
|
|
2015 Matrix retval; |
|
|
2016 |
|
|
2017 int nr = rows (); |
|
|
2018 int nc = cols (); |
|
|
2019 |
|
|
2020 if (nr == 1) |
|
|
2021 { |
|
|
2022 retval.resize (1, nc); |
|
|
2023 if (nc > 0) |
|
|
2024 { |
|
|
2025 double prod = elem (0, 0); |
|
|
2026 for (int j = 0; j < nc; j++) |
|
|
2027 { |
|
|
2028 retval.elem (0, j) = prod; |
|
|
2029 if (j < nc - 1) |
|
|
2030 prod *= elem (0, j+1); |
|
|
2031 } |
|
|
2032 } |
|
|
2033 } |
|
|
2034 else if (nc == 1) |
|
|
2035 { |
|
|
2036 retval.resize (nr, 1); |
|
|
2037 if (nr > 0) |
|
|
2038 { |
|
|
2039 double prod = elem (0, 0); |
|
|
2040 for (int i = 0; i < nr; i++) |
|
|
2041 { |
|
|
2042 retval.elem (i, 0) = prod; |
|
|
2043 if (i < nr - 1) |
|
|
2044 prod *= elem (i+1, 0); |
|
|
2045 } |
|
|
2046 } |
|
|
2047 } |
|
|
2048 else |
|
|
2049 { |
|
|
2050 retval.resize (nr, nc); |
|
|
2051 if (nr > 0 && nc > 0) |
|
|
2052 { |
|
|
2053 for (int j = 0; j < nc; j++) |
|
|
2054 { |
|
|
2055 double prod = elem (0, j); |
|
|
2056 for (int i = 0; i < nr; i++) |
|
|
2057 { |
|
|
2058 retval.elem (i, j) = prod; |
|
|
2059 if (i < nr - 1) |
|
|
2060 prod *= elem (i+1, j); |
|
|
2061 } |
|
|
2062 } |
|
|
2063 } |
|
|
2064 } |
|
|
2065 return retval; |
|
|
2066 } |
|
|
2067 |
|
|
2068 Matrix |
|
|
2069 Matrix::cumsum (void) const |
|
|
2070 { |
|
|
2071 Matrix retval; |
|
|
2072 |
|
|
2073 int nr = rows (); |
|
|
2074 int nc = cols (); |
|
|
2075 |
|
|
2076 if (nr == 1) |
|
|
2077 { |
|
|
2078 retval.resize (1, nc); |
|
|
2079 if (nc > 0) |
|
|
2080 { |
|
|
2081 double sum = elem (0, 0); |
|
|
2082 for (int j = 0; j < nc; j++) |
|
|
2083 { |
|
|
2084 retval.elem (0, j) = sum; |
|
|
2085 if (j < nc - 1) |
|
|
2086 sum += elem (0, j+1); |
|
|
2087 } |
|
|
2088 } |
|
|
2089 } |
|
|
2090 else if (nc == 1) |
|
|
2091 { |
|
|
2092 retval.resize (nr, 1); |
|
|
2093 if (nr > 0) |
|
|
2094 { |
|
|
2095 double sum = elem (0, 0); |
|
|
2096 for (int i = 0; i < nr; i++) |
|
|
2097 { |
|
|
2098 retval.elem (i, 0) = sum; |
|
|
2099 if (i < nr - 1) |
|
|
2100 sum += elem (i+1, 0); |
|
|
2101 } |
|
|
2102 } |
|
|
2103 } |
|
|
2104 else |
|
|
2105 { |
|
|
2106 retval.resize (nr, nc); |
|
|
2107 if (nr > 0 && nc > 0) |
|
|
2108 { |
|
|
2109 for (int j = 0; j < nc; j++) |
|
|
2110 { |
|
|
2111 double sum = elem (0, j); |
|
|
2112 for (int i = 0; i < nr; i++) |
|
|
2113 { |
|
|
2114 retval.elem (i, j) = sum; |
|
|
2115 if (i < nr - 1) |
|
|
2116 sum += elem (i+1, j); |
|
|
2117 } |
|
|
2118 } |
|
|
2119 } |
|
|
2120 } |
|
|
2121 return retval; |
|
|
2122 } |
|
|
2123 |
|
|
2124 Matrix |
|
|
2125 Matrix::prod (void) const |
|
|
2126 { |
|
|
2127 Matrix retval; |
|
|
2128 |
|
|
2129 int nr = rows (); |
|
|
2130 int nc = cols (); |
|
|
2131 |
|
|
2132 if (nr == 1) |
|
|
2133 { |
|
|
2134 retval.resize (1, 1); |
|
|
2135 retval.elem (0, 0) = 1.0; |
|
|
2136 for (int j = 0; j < nc; j++) |
|
|
2137 retval.elem (0, 0) *= elem (0, j); |
|
|
2138 } |
|
|
2139 else if (nc == 1) |
|
|
2140 { |
|
|
2141 retval.resize (1, 1); |
|
|
2142 retval.elem (0, 0) = 1.0; |
|
|
2143 for (int i = 0; i < nr; i++) |
|
|
2144 retval.elem (0, 0) *= elem (i, 0); |
|
|
2145 } |
|
|
2146 else |
|
|
2147 { |
|
|
2148 if (nc == 0) |
|
|
2149 { |
|
|
2150 retval.resize (1, 1); |
|
|
2151 retval.elem (0, 0) = 1.0; |
|
|
2152 } |
|
|
2153 else |
|
|
2154 retval.resize (1, nc); |
|
|
2155 |
|
|
2156 for (int j = 0; j < nc; j++) |
|
|
2157 { |
|
|
2158 retval.elem (0, j) = 1.0; |
|
|
2159 for (int i = 0; i < nr; i++) |
|
|
2160 retval.elem (0, j) *= elem (i, j); |
|
|
2161 } |
|
|
2162 } |
|
|
2163 return retval; |
|
|
2164 } |
|
|
2165 |
|
|
2166 Matrix |
|
|
2167 Matrix::sum (void) const |
|
|
2168 { |
|
|
2169 Matrix retval; |
|
|
2170 |
|
|
2171 int nr = rows (); |
|
|
2172 int nc = cols (); |
|
|
2173 |
|
|
2174 if (nr == 1) |
|
|
2175 { |
|
|
2176 retval.resize (1, 1); |
|
|
2177 retval.elem (0, 0) = 0.0; |
|
|
2178 for (int j = 0; j < nc; j++) |
|
|
2179 retval.elem (0, 0) += elem (0, j); |
|
|
2180 } |
|
|
2181 else if (nc == 1) |
|
|
2182 { |
|
|
2183 retval.resize (1, 1); |
|
|
2184 retval.elem (0, 0) = 0.0; |
|
|
2185 for (int i = 0; i < nr; i++) |
|
|
2186 retval.elem (0, 0) += elem (i, 0); |
|
|
2187 } |
|
|
2188 else |
|
|
2189 { |
|
|
2190 if (nc == 0) |
|
|
2191 { |
|
|
2192 retval.resize (1, 1); |
|
|
2193 retval.elem (0, 0) = 0.0; |
|
|
2194 } |
|
|
2195 else |
|
|
2196 retval.resize (1, nc); |
|
|
2197 |
|
|
2198 for (int j = 0; j < nc; j++) |
|
|
2199 { |
|
|
2200 retval.elem (0, j) = 0.0; |
|
|
2201 for (int i = 0; i < nr; i++) |
|
|
2202 retval.elem (0, j) += elem (i, j); |
|
|
2203 } |
|
|
2204 } |
|
|
2205 return retval; |
|
|
2206 } |
|
|
2207 |
|
|
2208 Matrix |
|
|
2209 Matrix::sumsq (void) const |
|
|
2210 { |
|
|
2211 Matrix retval; |
|
|
2212 |
|
|
2213 int nr = rows (); |
|
|
2214 int nc = cols (); |
|
|
2215 |
|
|
2216 if (nr == 1) |
|
|
2217 { |
|
|
2218 retval.resize (1, 1); |
|
|
2219 retval.elem (0, 0) = 0.0; |
|
|
2220 for (int j = 0; j < nc; j++) |
|
|
2221 { |
|
|
2222 double d = elem (0, j); |
|
|
2223 retval.elem (0, 0) += d * d; |
|
|
2224 } |
|
|
2225 } |
|
|
2226 else if (nc == 1) |
|
|
2227 { |
|
|
2228 retval.resize (1, 1); |
|
|
2229 retval.elem (0, 0) = 0.0; |
|
|
2230 for (int i = 0; i < nr; i++) |
|
|
2231 { |
|
|
2232 double d = elem (i, 0); |
|
|
2233 retval.elem (0, 0) += d * d; |
|
|
2234 } |
|
|
2235 } |
|
|
2236 else |
|
|
2237 { |
|
|
2238 retval.resize (1, nc); |
|
|
2239 for (int j = 0; j < nc; j++) |
|
|
2240 { |
|
|
2241 retval.elem (0, j) = 0.0; |
|
|
2242 for (int i = 0; i < nr; i++) |
|
|
2243 { |
|
|
2244 double d = elem (i, j); |
|
|
2245 retval.elem (0, j) += d * d; |
|
|
2246 } |
|
|
2247 } |
|
|
2248 } |
|
|
2249 return retval; |
|
|
2250 } |
|
|
2251 |
|
|
2252 ColumnVector |
|
|
2253 Matrix::diag (void) const |
|
|
2254 { |
|
|
2255 return diag (0); |
|
|
2256 } |
|
|
2257 |
|
|
2258 ColumnVector |
|
|
2259 Matrix::diag (int k) const |
|
|
2260 { |
|
|
2261 int nnr = rows (); |
|
|
2262 int nnc = cols (); |
|
|
2263 if (k > 0) |
|
|
2264 nnc -= k; |
|
|
2265 else if (k < 0) |
|
|
2266 nnr += k; |
|
|
2267 |
|
|
2268 ColumnVector d; |
|
|
2269 |
|
|
2270 if (nnr > 0 && nnc > 0) |
|
|
2271 { |
|
|
2272 int ndiag = (nnr < nnc) ? nnr : nnc; |
|
|
2273 |
|
|
2274 d.resize (ndiag); |
|
|
2275 |
|
|
2276 if (k > 0) |
|
|
2277 { |
|
|
2278 for (int i = 0; i < ndiag; i++) |
|
|
2279 d.elem (i) = elem (i, i+k); |
|
|
2280 } |
|
|
2281 else if ( k < 0) |
|
|
2282 { |
|
|
2283 for (int i = 0; i < ndiag; i++) |
|
|
2284 d.elem (i) = elem (i-k, i); |
|
|
2285 } |
|
|
2286 else |
|
|
2287 { |
|
|
2288 for (int i = 0; i < ndiag; i++) |
|
|
2289 d.elem (i) = elem (i, i); |
|
|
2290 } |
|
|
2291 } |
|
|
2292 else |
|
|
2293 cerr << "diag: requested diagonal out of range\n"; |
|
|
2294 |
|
|
2295 return d; |
|
|
2296 } |
|
|
2297 |
|
|
2298 ColumnVector |
|
|
2299 Matrix::row_min (void) const |
|
|
2300 { |
|
2354
|
2301 Array<int> index; |
|
|
2302 return row_min (index); |
|
458
|
2303 } |
|
|
2304 |
|
|
2305 ColumnVector |
|
2354
|
2306 Matrix::row_min (Array<int>& index) const |
|
458
|
2307 { |
|
|
2308 ColumnVector result; |
|
|
2309 |
|
|
2310 int nr = rows (); |
|
|
2311 int nc = cols (); |
|
|
2312 |
|
|
2313 if (nr > 0 && nc > 0) |
|
|
2314 { |
|
|
2315 result.resize (nr); |
|
2354
|
2316 index.resize (nr); |
|
458
|
2317 |
|
|
2318 for (int i = 0; i < nr; i++) |
|
|
2319 { |
|
2354
|
2320 int idx = 0; |
|
|
2321 |
|
|
2322 double tmp_min = elem (i, idx); |
|
|
2323 |
|
|
2324 if (xisnan (tmp_min)) |
|
|
2325 idx = -1; |
|
|
2326 else |
|
|
2327 { |
|
|
2328 for (int j = 1; j < nc; j++) |
|
|
2329 { |
|
|
2330 double tmp = elem (i, j); |
|
|
2331 |
|
|
2332 if (xisnan (tmp)) |
|
|
2333 { |
|
|
2334 idx = -1; |
|
|
2335 break; |
|
|
2336 } |
|
|
2337 else if (tmp < tmp_min) |
|
|
2338 { |
|
|
2339 idx = j; |
|
|
2340 tmp_min = tmp; |
|
|
2341 } |
|
|
2342 } |
|
|
2343 } |
|
|
2344 |
|
|
2345 result.elem (i) = (idx < 0) ? octave_NaN : tmp_min; |
|
|
2346 index.elem (i) = idx; |
|
458
|
2347 } |
|
|
2348 } |
|
|
2349 |
|
|
2350 return result; |
|
|
2351 } |
|
|
2352 |
|
|
2353 ColumnVector |
|
|
2354 Matrix::row_max (void) const |
|
|
2355 { |
|
2354
|
2356 Array<int> index; |
|
|
2357 return row_max (index); |
|
458
|
2358 } |
|
|
2359 |
|
|
2360 ColumnVector |
|
2354
|
2361 Matrix::row_max (Array<int>& index) const |
|
458
|
2362 { |
|
|
2363 ColumnVector result; |
|
|
2364 |
|
|
2365 int nr = rows (); |
|
|
2366 int nc = cols (); |
|
|
2367 |
|
|
2368 if (nr > 0 && nc > 0) |
|
|
2369 { |
|
|
2370 result.resize (nr); |
|
2354
|
2371 index.resize (nr); |
|
458
|
2372 |
|
|
2373 for (int i = 0; i < nr; i++) |
|
|
2374 { |
|
2354
|
2375 int idx = 0; |
|
|
2376 |
|
|
2377 double tmp_max = elem (i, idx); |
|
|
2378 |
|
|
2379 if (xisnan (tmp_max)) |
|
|
2380 idx = -1; |
|
|
2381 else |
|
|
2382 { |
|
|
2383 for (int j = 1; j < nc; j++) |
|
|
2384 { |
|
|
2385 double tmp = elem (i, j); |
|
|
2386 |
|
|
2387 if (xisnan (tmp)) |
|
|
2388 { |
|
|
2389 idx = -1; |
|
|
2390 break; |
|
|
2391 } |
|
|
2392 else if (tmp > tmp_max) |
|
|
2393 { |
|
|
2394 idx = j; |
|
|
2395 tmp_max = tmp; |
|
|
2396 } |
|
|
2397 } |
|
|
2398 } |
|
|
2399 |
|
|
2400 result.elem (i) = (idx < 0) ? octave_NaN : tmp_max; |
|
|
2401 index.elem (i) = idx; |
|
458
|
2402 } |
|
|
2403 } |
|
|
2404 |
|
|
2405 return result; |
|
|
2406 } |
|
|
2407 |
|
|
2408 RowVector |
|
|
2409 Matrix::column_min (void) const |
|
|
2410 { |
|
2354
|
2411 Array<int> index; |
|
|
2412 return column_min (index); |
|
458
|
2413 } |
|
2354
|
2414 |
|
458
|
2415 RowVector |
|
2354
|
2416 Matrix::column_min (Array<int>& index) const |
|
458
|
2417 { |
|
|
2418 RowVector result; |
|
|
2419 |
|
|
2420 int nr = rows (); |
|
|
2421 int nc = cols (); |
|
|
2422 |
|
|
2423 if (nr > 0 && nc > 0) |
|
|
2424 { |
|
|
2425 result.resize (nc); |
|
2354
|
2426 index.resize (nc); |
|
458
|
2427 |
|
|
2428 for (int j = 0; j < nc; j++) |
|
|
2429 { |
|
2354
|
2430 int idx = 0; |
|
|
2431 |
|
|
2432 double tmp_min = elem (idx, j); |
|
|
2433 |
|
|
2434 if (xisnan (tmp_min)) |
|
|
2435 idx = -1; |
|
|
2436 else |
|
|
2437 { |
|
|
2438 for (int i = 1; i < nr; i++) |
|
|
2439 { |
|
|
2440 double tmp = elem (i, j); |
|
|
2441 |
|
|
2442 if (xisnan (tmp)) |
|
|
2443 { |
|
|
2444 idx = -1; |
|
|
2445 break; |
|
|
2446 } |
|
|
2447 else if (tmp < tmp_min) |
|
|
2448 { |
|
|
2449 idx = i; |
|
|
2450 tmp_min = tmp; |
|
|
2451 } |
|
|
2452 } |
|
|
2453 } |
|
|
2454 |
|
|
2455 result.elem (j) = (idx < 0) ? octave_NaN : tmp_min; |
|
|
2456 index.elem (j) = idx; |
|
458
|
2457 } |
|
|
2458 } |
|
|
2459 |
|
|
2460 return result; |
|
|
2461 } |
|
|
2462 |
|
2354
|
2463 RowVector |
|
|
2464 Matrix::column_max (void) const |
|
|
2465 { |
|
|
2466 Array<int> index; |
|
|
2467 return column_max (index); |
|
|
2468 } |
|
458
|
2469 |
|
|
2470 RowVector |
|
2354
|
2471 Matrix::column_max (Array<int>& index) const |
|
458
|
2472 { |
|
|
2473 RowVector result; |
|
|
2474 |
|
|
2475 int nr = rows (); |
|
|
2476 int nc = cols (); |
|
|
2477 |
|
|
2478 if (nr > 0 && nc > 0) |
|
|
2479 { |
|
|
2480 result.resize (nc); |
|
2354
|
2481 index.resize (nc); |
|
458
|
2482 |
|
|
2483 for (int j = 0; j < nc; j++) |
|
|
2484 { |
|
2354
|
2485 int idx = 0; |
|
|
2486 |
|
|
2487 double tmp_max = elem (idx, j); |
|
|
2488 |
|
|
2489 if (xisnan (tmp_max)) |
|
|
2490 idx = -1; |
|
|
2491 else |
|
|
2492 { |
|
|
2493 for (int i = 1; i < nr; i++) |
|
|
2494 { |
|
|
2495 double tmp = elem (i, j); |
|
|
2496 |
|
|
2497 if (xisnan (tmp)) |
|
|
2498 { |
|
|
2499 idx = -1; |
|
|
2500 break; |
|
|
2501 } |
|
|
2502 else if (tmp > tmp_max) |
|
|
2503 { |
|
|
2504 idx = i; |
|
|
2505 tmp_max = tmp; |
|
|
2506 } |
|
|
2507 } |
|
|
2508 } |
|
|
2509 |
|
|
2510 result.elem (j) = (idx < 0) ? octave_NaN : tmp_max; |
|
|
2511 index.elem (j) = idx; |
|
458
|
2512 } |
|
|
2513 } |
|
|
2514 |
|
|
2515 return result; |
|
|
2516 } |
|
|
2517 |
|
|
2518 ostream& |
|
|
2519 operator << (ostream& os, const Matrix& a) |
|
|
2520 { |
|
|
2521 // int field_width = os.precision () + 7; |
|
1360
|
2522 |
|
458
|
2523 for (int i = 0; i < a.rows (); i++) |
|
|
2524 { |
|
|
2525 for (int j = 0; j < a.cols (); j++) |
|
|
2526 os << " " /* setw (field_width) */ << a.elem (i, j); |
|
|
2527 os << "\n"; |
|
|
2528 } |
|
|
2529 return os; |
|
|
2530 } |
|
|
2531 |
|
|
2532 istream& |
|
|
2533 operator >> (istream& is, Matrix& a) |
|
|
2534 { |
|
|
2535 int nr = a.rows (); |
|
|
2536 int nc = a.cols (); |
|
|
2537 |
|
|
2538 if (nr < 1 || nc < 1) |
|
|
2539 is.clear (ios::badbit); |
|
|
2540 else |
|
|
2541 { |
|
|
2542 double tmp; |
|
|
2543 for (int i = 0; i < nr; i++) |
|
|
2544 for (int j = 0; j < nc; j++) |
|
|
2545 { |
|
|
2546 is >> tmp; |
|
|
2547 if (is) |
|
|
2548 a.elem (i, j) = tmp; |
|
|
2549 else |
|
|
2550 break; |
|
|
2551 } |
|
|
2552 } |
|
|
2553 |
|
|
2554 return is; |
|
|
2555 } |
|
|
2556 |
|
2317
|
2557 template <class T> |
|
|
2558 static void |
|
|
2559 read_int (istream& is, bool swap_bytes, T& val) |
|
|
2560 { |
|
|
2561 is.read ((char *) &val, sizeof (T)); |
|
|
2562 |
|
|
2563 if (swap_bytes) |
|
|
2564 { |
|
|
2565 switch (sizeof (T)) |
|
|
2566 { |
|
|
2567 case 1: |
|
|
2568 break; |
|
|
2569 |
|
|
2570 case 2: |
|
|
2571 swap_2_bytes ((char *) &val); |
|
|
2572 break; |
|
|
2573 |
|
|
2574 case 4: |
|
|
2575 swap_4_bytes ((char *) &val); |
|
|
2576 break; |
|
|
2577 |
|
|
2578 case 8: |
|
|
2579 swap_8_bytes ((char *) &val); |
|
|
2580 break; |
|
|
2581 |
|
|
2582 default: |
|
|
2583 (*current_liboctave_error_handler) |
|
|
2584 ("read_int: unrecognized data format!"); |
|
|
2585 } |
|
|
2586 } |
|
|
2587 } |
|
|
2588 |
|
|
2589 template void read_int (istream&, bool, char&); |
|
|
2590 template void read_int (istream&, bool, signed char&); |
|
|
2591 template void read_int (istream&, bool, unsigned char&); |
|
|
2592 template void read_int (istream&, bool, short&); |
|
|
2593 template void read_int (istream&, bool, unsigned short&); |
|
|
2594 template void read_int (istream&, bool, int&); |
|
|
2595 template void read_int (istream&, bool, unsigned int&); |
|
|
2596 template void read_int (istream&, bool, long&); |
|
|
2597 template void read_int (istream&, bool, unsigned long&); |
|
|
2598 |
|
|
2599 static inline bool |
|
|
2600 do_read (istream& is, oct_data_conv::data_type dt, |
|
|
2601 oct_mach_info::float_format flt_fmt, bool swap_bytes, |
|
|
2602 bool do_float_conversion, double& val) |
|
|
2603 { |
|
|
2604 bool retval = true; |
|
|
2605 |
|
|
2606 switch (dt) |
|
|
2607 { |
|
|
2608 case oct_data_conv::dt_char: |
|
|
2609 { |
|
|
2610 char tmp; |
|
|
2611 read_int (is, swap_bytes, tmp); |
|
|
2612 val = tmp; |
|
|
2613 } |
|
|
2614 break; |
|
|
2615 |
|
|
2616 case oct_data_conv::dt_schar: |
|
|
2617 { |
|
|
2618 signed char tmp; |
|
|
2619 read_int (is, swap_bytes, tmp); |
|
|
2620 val = tmp; |
|
|
2621 } |
|
|
2622 break; |
|
|
2623 |
|
|
2624 case oct_data_conv::dt_uchar: |
|
|
2625 { |
|
|
2626 unsigned char tmp; |
|
|
2627 read_int (is, swap_bytes, tmp); |
|
|
2628 val = tmp; |
|
|
2629 } |
|
|
2630 break; |
|
|
2631 |
|
|
2632 case oct_data_conv::dt_short: |
|
|
2633 { |
|
|
2634 short tmp; |
|
|
2635 read_int (is, swap_bytes, tmp); |
|
|
2636 val = tmp; |
|
|
2637 } |
|
|
2638 break; |
|
|
2639 |
|
|
2640 case oct_data_conv::dt_ushort: |
|
|
2641 { |
|
|
2642 unsigned short tmp; |
|
|
2643 read_int (is, swap_bytes, tmp); |
|
|
2644 val = tmp; |
|
|
2645 } |
|
|
2646 break; |
|
|
2647 |
|
|
2648 case oct_data_conv::dt_int: |
|
|
2649 { |
|
|
2650 int tmp; |
|
|
2651 read_int (is, swap_bytes, tmp); |
|
|
2652 val = tmp; |
|
|
2653 } |
|
|
2654 break; |
|
|
2655 |
|
|
2656 case oct_data_conv::dt_uint: |
|
|
2657 { |
|
|
2658 unsigned int tmp; |
|
|
2659 read_int (is, swap_bytes, tmp); |
|
|
2660 val = tmp; |
|
|
2661 } |
|
|
2662 break; |
|
|
2663 |
|
|
2664 case oct_data_conv::dt_long: |
|
|
2665 { |
|
|
2666 long tmp; |
|
|
2667 read_int (is, swap_bytes, tmp); |
|
|
2668 val = tmp; |
|
|
2669 } |
|
|
2670 break; |
|
|
2671 |
|
|
2672 case oct_data_conv::dt_ulong: |
|
|
2673 { |
|
|
2674 unsigned long tmp; |
|
|
2675 read_int (is, swap_bytes, tmp); |
|
|
2676 val = tmp; |
|
|
2677 } |
|
|
2678 break; |
|
|
2679 |
|
|
2680 case oct_data_conv::dt_float: |
|
|
2681 { |
|
|
2682 float f; |
|
|
2683 |
|
|
2684 is.read ((char *) &f, sizeof (float)); |
|
|
2685 |
|
|
2686 if (do_float_conversion) |
|
|
2687 do_float_format_conversion (&f, 1, flt_fmt); |
|
|
2688 |
|
|
2689 val = f; |
|
|
2690 } |
|
|
2691 break; |
|
|
2692 |
|
|
2693 case oct_data_conv::dt_double: |
|
|
2694 { |
|
|
2695 is.read ((char *) &val, sizeof (double)); |
|
|
2696 |
|
|
2697 if (do_float_conversion) |
|
|
2698 do_double_format_conversion (&val, 1, flt_fmt); |
|
|
2699 } |
|
|
2700 break; |
|
|
2701 |
|
|
2702 default: |
|
|
2703 retval = false; |
|
|
2704 (*current_liboctave_error_handler) |
|
|
2705 ("read: invalid type specification"); |
|
|
2706 break; |
|
|
2707 } |
|
|
2708 |
|
|
2709 return retval; |
|
|
2710 } |
|
1360
|
2711 |
|
458
|
2712 int |
|
2317
|
2713 Matrix::read (istream& is, int nr, int nc, |
|
|
2714 oct_data_conv::data_type dt, int skip, |
|
|
2715 oct_mach_info::float_format flt_fmt) |
|
458
|
2716 { |
|
2317
|
2717 int retval = -1; |
|
|
2718 |
|
|
2719 bool ok = true; |
|
|
2720 |
|
|
2721 int count = 0; |
|
|
2722 |
|
|
2723 double *data = 0; |
|
|
2724 int max_size = 0; |
|
|
2725 |
|
|
2726 int final_nr = 0; |
|
|
2727 int final_nc = 0; |
|
|
2728 |
|
|
2729 if (nr > 0) |
|
458
|
2730 { |
|
2317
|
2731 if (nc > 0) |
|
|
2732 { |
|
|
2733 resize (nr, nc, 0.0); |
|
|
2734 data = fortran_vec (); |
|
|
2735 max_size = nr * nc; |
|
|
2736 } |
|
|
2737 else |
|
|
2738 { |
|
|
2739 resize (nr, 32, 0.0); |
|
|
2740 data = fortran_vec (); |
|
|
2741 max_size = nr * 32; |
|
|
2742 } |
|
|
2743 } |
|
471
|
2744 else |
|
|
2745 { |
|
2317
|
2746 resize (32, 1, 0.0); |
|
|
2747 data = fortran_vec (); |
|
|
2748 max_size = 32; |
|
|
2749 } |
|
|
2750 |
|
|
2751 oct_mach_info::float_format native_flt_fmt |
|
|
2752 = oct_mach_info::float_format (); |
|
|
2753 |
|
|
2754 bool do_float_conversion = (flt_fmt != native_flt_fmt); |
|
|
2755 |
|
|
2756 // XXX FIXME XXX -- byte order for Cray? |
|
|
2757 |
|
|
2758 bool swap_bytes = false; |
|
|
2759 |
|
|
2760 if (oct_mach_info::words_big_endian ()) |
|
|
2761 swap_bytes = (flt_fmt == oct_mach_info::ieee_little_endian |
|
|
2762 || flt_fmt == oct_mach_info::vax_g |
|
|
2763 || flt_fmt == oct_mach_info::vax_g); |
|
|
2764 else |
|
|
2765 swap_bytes = (flt_fmt == oct_mach_info::ieee_big_endian); |
|
|
2766 |
|
|
2767 for (;;) |
|
|
2768 { |
|
|
2769 // XXX FIXME XXX -- maybe there should be a special case for |
|
|
2770 // skip == 0. |
|
|
2771 |
|
|
2772 if (is) |
|
|
2773 { |
|
|
2774 if (nr > 0 && nc > 0 && count == max_size) |
|
|
2775 { |
|
|
2776 final_nr = nr; |
|
|
2777 final_nc = nc; |
|
|
2778 |
|
|
2779 break; |
|
|
2780 } |
|
|
2781 |
|
|
2782 if (skip != 0) |
|
|
2783 is.seekg (skip, ios::cur); |
|
|
2784 |
|
|
2785 if (is) |
|
|
2786 { |
|
|
2787 double tmp = 0.0; |
|
|
2788 |
|
|
2789 ok = do_read (is, dt, flt_fmt, swap_bytes, |
|
|
2790 do_float_conversion, tmp); |
|
|
2791 |
|
|
2792 if (ok) |
|
|
2793 { |
|
|
2794 if (is) |
|
|
2795 { |
|
|
2796 if (count == max_size) |
|
|
2797 { |
|
|
2798 max_size *= 2; |
|
|
2799 |
|
|
2800 if (nr > 0) |
|
|
2801 resize (nr, max_size / 2, 0.0); |
|
|
2802 else |
|
|
2803 resize (max_size, 1, 0.0); |
|
|
2804 |
|
|
2805 data = fortran_vec (); |
|
|
2806 } |
|
|
2807 |
|
|
2808 data[count++] = tmp; |
|
|
2809 } |
|
|
2810 else |
|
|
2811 { |
|
|
2812 if (is.eof ()) |
|
|
2813 { |
|
|
2814 if (nr > 0) |
|
|
2815 { |
|
|
2816 if (count > nr) |
|
|
2817 { |
|
|
2818 final_nr = nr; |
|
|
2819 final_nc = (count - 1) / nr + 1; |
|
|
2820 } |
|
|
2821 else |
|
|
2822 { |
|
|
2823 final_nr = count; |
|
|
2824 final_nc = 1; |
|
|
2825 } |
|
|
2826 } |
|
|
2827 else |
|
|
2828 { |
|
|
2829 final_nr = count; |
|
|
2830 final_nc = 1; |
|
|
2831 } |
|
|
2832 } |
|
|
2833 |
|
|
2834 break; |
|
|
2835 } |
|
|
2836 } |
|
|
2837 else |
|
|
2838 break; |
|
|
2839 } |
|
|
2840 else |
|
|
2841 { |
|
|
2842 ok = false; |
|
|
2843 break; |
|
|
2844 } |
|
|
2845 } |
|
|
2846 else |
|
|
2847 { |
|
|
2848 ok = false; |
|
|
2849 break; |
|
|
2850 } |
|
|
2851 } |
|
|
2852 |
|
|
2853 if (ok) |
|
|
2854 { |
|
|
2855 resize (final_nr, final_nc, 0.0); |
|
|
2856 |
|
|
2857 retval = count; |
|
458
|
2858 } |
|
|
2859 |
|
2317
|
2860 return retval; |
|
|
2861 } |
|
|
2862 |
|
|
2863 template <class T> |
|
|
2864 static void |
|
|
2865 write_int (ostream& os, bool swap_bytes, T val) |
|
|
2866 { |
|
|
2867 if (swap_bytes) |
|
|
2868 { |
|
|
2869 switch (sizeof (T)) |
|
|
2870 { |
|
|
2871 case 1: |
|
|
2872 break; |
|
|
2873 |
|
|
2874 case 2: |
|
|
2875 swap_2_bytes ((char *) &val); |
|
|
2876 break; |
|
|
2877 |
|
|
2878 case 4: |
|
|
2879 swap_4_bytes ((char *) &val); |
|
|
2880 break; |
|
|
2881 |
|
|
2882 case 8: |
|
|
2883 swap_8_bytes ((char *) &val); |
|
|
2884 break; |
|
|
2885 |
|
|
2886 default: |
|
|
2887 (*current_liboctave_error_handler) |
|
|
2888 ("write_int: unrecognized data format!"); |
|
|
2889 } |
|
|
2890 } |
|
|
2891 |
|
|
2892 os.write ((char *) &val, sizeof (T)); |
|
458
|
2893 } |
|
|
2894 |
|
2317
|
2895 template void write_int (ostream&, bool, char); |
|
|
2896 template void write_int (ostream&, bool, signed char); |
|
|
2897 template void write_int (ostream&, bool, unsigned char); |
|
|
2898 template void write_int (ostream&, bool, short); |
|
|
2899 template void write_int (ostream&, bool, unsigned short); |
|
|
2900 template void write_int (ostream&, bool, int); |
|
|
2901 template void write_int (ostream&, bool, unsigned int); |
|
|
2902 template void write_int (ostream&, bool, long); |
|
|
2903 template void write_int (ostream&, bool, unsigned long); |
|
|
2904 |
|
|
2905 static inline bool |
|
|
2906 do_write (ostream& os, double d, oct_data_conv::data_type dt, |
|
|
2907 oct_mach_info::float_format flt_fmt, bool swap_bytes, |
|
|
2908 bool do_float_conversion) |
|
|
2909 { |
|
|
2910 bool retval = true; |
|
|
2911 |
|
|
2912 switch (dt) |
|
|
2913 { |
|
|
2914 case oct_data_conv::dt_char: |
|
|
2915 write_int (os, swap_bytes, (char) d); |
|
|
2916 break; |
|
|
2917 |
|
|
2918 case oct_data_conv::dt_schar: |
|
|
2919 write_int (os, swap_bytes, (signed char) d); |
|
|
2920 break; |
|
|
2921 |
|
|
2922 case oct_data_conv::dt_uchar: |
|
|
2923 write_int (os, swap_bytes, (unsigned char) d); |
|
|
2924 break; |
|
|
2925 |
|
|
2926 case oct_data_conv::dt_short: |
|
|
2927 write_int (os, swap_bytes, (short) d); |
|
|
2928 break; |
|
|
2929 |
|
|
2930 case oct_data_conv::dt_ushort: |
|
|
2931 write_int (os, swap_bytes, (unsigned short) d); |
|
|
2932 break; |
|
|
2933 |
|
|
2934 case oct_data_conv::dt_int: |
|
|
2935 write_int (os, swap_bytes, (int) d); |
|
|
2936 break; |
|
|
2937 |
|
|
2938 case oct_data_conv::dt_uint: |
|
|
2939 write_int (os, swap_bytes, (unsigned int) d); |
|
|
2940 break; |
|
|
2941 |
|
|
2942 case oct_data_conv::dt_long: |
|
|
2943 write_int (os, swap_bytes, (long) d); |
|
|
2944 break; |
|
|
2945 |
|
|
2946 case oct_data_conv::dt_ulong: |
|
|
2947 write_int (os, swap_bytes, (unsigned long) d); |
|
|
2948 break; |
|
|
2949 |
|
|
2950 case oct_data_conv::dt_float: |
|
|
2951 { |
|
|
2952 float f = (float) d; |
|
|
2953 |
|
|
2954 if (do_float_conversion) |
|
|
2955 do_float_format_conversion (&f, 1, flt_fmt); |
|
|
2956 |
|
|
2957 os.write ((char *) &f, sizeof (float)); |
|
|
2958 } |
|
|
2959 break; |
|
|
2960 |
|
|
2961 case oct_data_conv::dt_double: |
|
|
2962 { |
|
|
2963 if (do_float_conversion) |
|
|
2964 do_double_format_conversion (&d, 1, flt_fmt); |
|
|
2965 |
|
|
2966 os.write ((char *) &d, sizeof (double)); |
|
|
2967 } |
|
|
2968 break; |
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2969 |
|
|
2970 default: |
|
|
2971 retval = false; |
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|
2972 (*current_liboctave_error_handler) |
|
|
2973 ("write: invalid type specification"); |
|
|
2974 break; |
|
|
2975 } |
|
|
2976 |
|
|
2977 return retval; |
|
|
2978 } |
|
1360
|
2979 |
|
458
|
2980 int |
|
2317
|
2981 Matrix::write (ostream& os, oct_data_conv::data_type dt, int skip, |
|
|
2982 oct_mach_info::float_format flt_fmt) |
|
458
|
2983 { |
|
2317
|
2984 int retval = -1; |
|
|
2985 |
|
|
2986 bool ok = true; |
|
|
2987 |
|
|
2988 int count = 0; |
|
|
2989 |
|
|
2990 const double *d = data (); |
|
|
2991 |
|
|
2992 int n = length (); |
|
|
2993 |
|
|
2994 oct_mach_info::float_format native_flt_fmt |
|
|
2995 = oct_mach_info::float_format (); |
|
|
2996 |
|
|
2997 bool do_float_conversion = (flt_fmt != native_flt_fmt); |
|
|
2998 |
|
|
2999 // XXX FIXME XXX -- byte order for Cray? |
|
|
3000 |
|
|
3001 bool swap_bytes = false; |
|
|
3002 |
|
|
3003 if (oct_mach_info::words_big_endian ()) |
|
|
3004 swap_bytes = (flt_fmt == oct_mach_info::ieee_little_endian |
|
|
3005 || flt_fmt == oct_mach_info::vax_g |
|
|
3006 || flt_fmt == oct_mach_info::vax_g); |
|
|
3007 else |
|
|
3008 swap_bytes = (flt_fmt == oct_mach_info::ieee_big_endian); |
|
|
3009 |
|
|
3010 for (int i = 0; i < n; i++) |
|
458
|
3011 { |
|
2317
|
3012 if (os) |
|
|
3013 { |
|
|
3014 if (skip != 0) |
|
|
3015 os.seekp (skip, ios::cur); |
|
|
3016 |
|
|
3017 if (os) |
|
|
3018 { |
|
|
3019 ok = do_write (os, d[i], dt, flt_fmt, swap_bytes, |
|
|
3020 do_float_conversion); |
|
|
3021 |
|
|
3022 if (os && ok) |
|
|
3023 count++; |
|
|
3024 else |
|
|
3025 break; |
|
|
3026 } |
|
|
3027 else |
|
|
3028 { |
|
|
3029 ok = false; |
|
|
3030 break; |
|
|
3031 } |
|
|
3032 } |
|
|
3033 else |
|
|
3034 { |
|
|
3035 ok = false; |
|
|
3036 break; |
|
|
3037 } |
|
471
|
3038 } |
|
458
|
3039 |
|
2317
|
3040 if (ok) |
|
|
3041 retval = count; |
|
|
3042 |
|
|
3043 return retval; |
|
458
|
3044 } |
|
|
3045 |
|
2317
|
3046 |
|
|
3047 |
|
1819
|
3048 Matrix |
|
|
3049 Givens (double x, double y) |
|
|
3050 { |
|
|
3051 double cc, s, temp_r; |
|
|
3052 |
|
|
3053 F77_FCN (dlartg, DLARTG) (x, y, cc, s, temp_r); |
|
|
3054 |
|
|
3055 Matrix g (2, 2); |
|
|
3056 |
|
|
3057 g.elem (0, 0) = cc; |
|
|
3058 g.elem (1, 1) = cc; |
|
|
3059 g.elem (0, 1) = s; |
|
|
3060 g.elem (1, 0) = -s; |
|
|
3061 |
|
|
3062 return g; |
|
|
3063 } |
|
|
3064 |
|
|
3065 Matrix |
|
|
3066 Sylvester (const Matrix& a, const Matrix& b, const Matrix& c) |
|
|
3067 { |
|
|
3068 Matrix retval; |
|
|
3069 |
|
|
3070 // XXX FIXME XXX -- need to check that a, b, and c are all the same |
|
|
3071 // size. |
|
|
3072 |
|
|
3073 // Compute Schur decompositions. |
|
|
3074 |
|
|
3075 SCHUR as (a, "U"); |
|
|
3076 SCHUR bs (b, "U"); |
|
|
3077 |
|
|
3078 // Transform c to new coordinates. |
|
|
3079 |
|
|
3080 Matrix ua = as.unitary_matrix (); |
|
|
3081 Matrix sch_a = as.schur_matrix (); |
|
|
3082 |
|
|
3083 Matrix ub = bs.unitary_matrix (); |
|
|
3084 Matrix sch_b = bs.schur_matrix (); |
|
|
3085 |
|
|
3086 Matrix cx = ua.transpose () * c * ub; |
|
|
3087 |
|
|
3088 // Solve the sylvester equation, back-transform, and return the |
|
|
3089 // solution. |
|
|
3090 |
|
|
3091 int a_nr = a.rows (); |
|
|
3092 int b_nr = b.rows (); |
|
|
3093 |
|
|
3094 double scale; |
|
|
3095 int info; |
|
|
3096 |
|
1950
|
3097 double *pa = sch_a.fortran_vec (); |
|
|
3098 double *pb = sch_b.fortran_vec (); |
|
|
3099 double *px = cx.fortran_vec (); |
|
|
3100 |
|
|
3101 F77_XFCN (dtrsyl, DTRSYL, ("N", "N", 1, a_nr, b_nr, pa, a_nr, pb, |
|
|
3102 b_nr, px, a_nr, scale, info, 1L, 1L)); |
|
|
3103 |
|
|
3104 |
|
|
3105 if (f77_exception_encountered) |
|
|
3106 (*current_liboctave_error_handler) ("unrecoverable error in dtrsyl"); |
|
|
3107 else |
|
|
3108 { |
|
|
3109 // XXX FIXME XXX -- check info? |
|
1819
|
3110 |
|
1950
|
3111 retval = -ua*cx*ub.transpose (); |
|
|
3112 } |
|
1819
|
3113 |
|
|
3114 return retval; |
|
|
3115 } |
|
|
3116 |
|
1959
|
3117 ComplexColumnVector |
|
|
3118 Qzval (const Matrix& a, const Matrix& b) |
|
|
3119 { |
|
|
3120 ComplexColumnVector retval; |
|
|
3121 |
|
|
3122 int a_nr = a.rows(); |
|
|
3123 int a_nc = a.cols(); |
|
|
3124 |
|
|
3125 int b_nr = b.rows(); |
|
|
3126 int b_nc = b.cols(); |
|
|
3127 |
|
|
3128 if (a_nr == a_nc) |
|
|
3129 { |
|
|
3130 if (a_nr == b_nr && a_nc == b_nc) |
|
|
3131 { |
|
|
3132 if (a_nr != 0) |
|
|
3133 { |
|
|
3134 Matrix jnk (a_nr, a_nr, 0.0); |
|
|
3135 double *pjnk = jnk.fortran_vec (); |
|
|
3136 |
|
|
3137 ColumnVector alfr (a_nr); |
|
|
3138 double *palfr = alfr.fortran_vec (); |
|
|
3139 |
|
|
3140 ColumnVector alfi (a_nr); |
|
|
3141 double *palfi = alfr.fortran_vec (); |
|
|
3142 |
|
|
3143 ColumnVector beta (a_nr); |
|
|
3144 double *pbeta = alfr.fortran_vec (); |
|
|
3145 |
|
|
3146 Matrix atmp = a; |
|
|
3147 double *pa = atmp.fortran_vec (); |
|
|
3148 |
|
|
3149 Matrix btmp = b; |
|
|
3150 double *pb = btmp.fortran_vec (); |
|
|
3151 |
|
|
3152 long matz = 0; |
|
|
3153 int info; |
|
|
3154 |
|
|
3155 // XXX FIXME ??? XXX |
|
|
3156 double eps = DBL_EPSILON; |
|
|
3157 |
|
|
3158 F77_FCN (qzhes, QZHES) (a_nr, a_nr, pa, pb, matz, pjnk); |
|
|
3159 |
|
|
3160 F77_FCN (qzit, QZIT) (a_nr, a_nr, pa, pb, eps, matz, pjnk, info); |
|
|
3161 |
|
|
3162 if (! info) |
|
|
3163 { |
|
|
3164 F77_FCN (qzval, QZVAL) (a_nr, a_nr, pa, pb, palfr, |
|
|
3165 palfi, pbeta, matz, pjnk); |
|
|
3166 |
|
|
3167 // Count and extract finite generalized eigenvalues. |
|
|
3168 |
|
|
3169 int cnt = 0; |
|
|
3170 |
|
|
3171 for (int i = 0; i < a_nr; i++) |
|
|
3172 if (beta.elem (i) != 0) |
|
|
3173 cnt++; |
|
|
3174 |
|
|
3175 ComplexColumnVector cx (cnt, 0.0); |
|
|
3176 |
|
|
3177 Complex Im (0, 1); |
|
|
3178 |
|
|
3179 for (int i = 0; i < a_nr; i++) |
|
|
3180 { |
|
|
3181 if (beta.elem (i) != 0) |
|
|
3182 { |
|
|
3183 // Finite generalized eigenvalue. |
|
|
3184 |
|
|
3185 cnt--; |
|
|
3186 cx.elem (cnt) = (alfr.elem (i) + Im * alfi.elem (i)) |
|
|
3187 / beta.elem (i); |
|
|
3188 } |
|
|
3189 } |
|
|
3190 |
|
|
3191 retval = cx; |
|
|
3192 } |
|
|
3193 else |
|
|
3194 (*current_liboctave_error_handler) |
|
|
3195 ("qzval: trouble in qzit, info = %d", info); |
|
|
3196 } |
|
|
3197 } |
|
|
3198 else |
|
|
3199 (*current_liboctave_error_handler) ("nonconformant matrices"); |
|
|
3200 } |
|
|
3201 else |
|
|
3202 (*current_liboctave_error_handler) ("qzval: square matrices required"); |
|
|
3203 |
|
|
3204 return retval; |
|
|
3205 } |
|
|
3206 |
|
458
|
3207 /* |
|
|
3208 ;;; Local Variables: *** |
|
|
3209 ;;; mode: C++ *** |
|
|
3210 ;;; End: *** |
|
|
3211 */ |
