annotate libinterp/corefcn/det.cc @ 20587:f90c8372b7ba

eliminate many more simple uses of error_state * Cell.cc, __ichol__.cc, __ilu__.cc, balance.cc, bsxfun.cc, colloc.cc, det.cc, dlmread.cc, dynamic-ld.cc, eig.cc, fft.cc, fft2.cc, fftn.cc, gcd.cc, getgrent.cc, getpwent.cc, givens.cc, hess.cc, input.cc, levenshtein.cc, load-path.cc, lookup.cc, ls-mat-ascii.cc, ls-mat4.cc, lsode.cc, lu.cc, max.cc, md5sum.cc, mex.cc, pager.cc, pinv.cc, pr-output.cc, qz.cc, schur.cc, sparse.cc, sqrtm.cc, str2double.cc, strfns.cc, sub2ind.cc, sysdep.cc, time.cc, toplev.cc, tril.cc, tsearch.cc, typecast.cc, __init_gnuplot__.cc, __magick_read__.cc, __osmesa_print__.cc, amd.cc, audiodevinfo.cc, dmperm.cc, fftw.cc, symrcm.cc, ov-base-diag.cc, ov-base-sparse.cc, ov-base.cc, ov-bool-sparse.cc, ov-builtin.cc, ov-complex.cc, ov-cx-diag.cc, ov-cx-mat.cc, ov-cx-sparse.cc, ov-fcn-handle.cc, ov-fcn-inline.cc, ov-float.cc, ov-flt-complex.cc, ov-flt-cx-diag.cc, ov-flt-cx-mat.cc, ov-flt-re-diag.cc, ov-flt-re-mat.cc, ov-lazy-idx.cc, ov-mex-fcn.cc, ov-perm.cc, ov-range.cc, ov-re-diag.cc, ov-re-mat.cc, ov-re-sparse.cc, ov-scalar.cc, ov-str-mat.cc, op-bm-b.cc, op-bm-bm.cc, op-sbm-b.cc, op-sbm-bm.cc, op-str-m.cc, op-str-s.cc, oct-parse.in.yy, pt-cbinop.cc, pt-colon.cc, pt-decl.cc, pt-exp.cc, pt-id.cc, pt-misc.cc, pt-select.cc, pt-unop.cc: Eliminate simple uses of error_state.
author John W. Eaton <jwe@octave.org>
date Mon, 05 Oct 2015 19:29:36 -0400
parents 4f45eaf83908
children
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1 /*
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2
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3 Copyright (C) 1996-2015 John W. Eaton
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4
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5 This file is part of Octave.
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6
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7 Octave is free software; you can redistribute it and/or modify it
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8 under the terms of the GNU General Public License as published by the
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9 Free Software Foundation; either version 3 of the License, or (at your
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10 option) any later version.
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11
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12 Octave is distributed in the hope that it will be useful, but WITHOUT
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13 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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14 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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15 for more details.
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16
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17 You should have received a copy of the GNU General Public License
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18 along with Octave; see the file COPYING. If not, see
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19 <http://www.gnu.org/licenses/>.
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20
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21 */
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22
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23 #ifdef HAVE_CONFIG_H
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24 #include <config.h>
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25 #endif
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26
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27 #include "DET.h"
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29 #include "defun.h"
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30 #include "error.h"
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31 #include "gripes.h"
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32 #include "oct-obj.h"
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33 #include "utils.h"
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34 #include "ops.h"
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35
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36 #include "ov-re-mat.h"
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37 #include "ov-cx-mat.h"
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38 #include "ov-flt-re-mat.h"
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39 #include "ov-flt-cx-mat.h"
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40 #include "ov-re-diag.h"
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41 #include "ov-cx-diag.h"
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42 #include "ov-flt-re-diag.h"
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43 #include "ov-flt-cx-diag.h"
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44 #include "ov-perm.h"
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45
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46 #define MAYBE_CAST(VAR, CLASS) \
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47 const CLASS *VAR = arg.type_id () == CLASS::static_type_id () ? \
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48 dynamic_cast<const CLASS *> (&arg.get_rep ()) : 0
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49
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50 DEFUN (det, args, nargout,
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51 "-*- texinfo -*-\n\
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52 @deftypefn {Built-in Function} {} det (@var{A})\n\
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53 @deftypefnx {Built-in Function} {[@var{d}, @var{rcond}] =} det (@var{A})\n\
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54 Compute the determinant of @var{A}.\n\
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55 \n\
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56 Return an estimate of the reciprocal condition number if requested.\n\
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57 \n\
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58 Programming Notes: Routines from @sc{lapack} are used for full matrices and\n\
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59 code from @sc{umfpack} is used for sparse matrices.\n\
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60 \n\
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61 The determinant should not be used to check a matrix for singularity.\n\
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62 For that, use any of the condition number functions: @code{cond},\n\
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63 @code{condest}, @code{rcond}.\n\
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64 @seealso{cond, condest, rcond}\n\
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65 @end deftypefn")
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66 {
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67 octave_value_list retval;
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68
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69 int nargin = args.length ();
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70
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71 if (nargin != 1)
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72 {
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73 print_usage ();
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74 return retval;
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75 }
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76
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77 octave_value arg = args(0);
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78
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79 octave_idx_type nr = arg.rows ();
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80 octave_idx_type nc = arg.columns ();
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81
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82 if (nr == 0 && nc == 0)
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83 {
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84 retval(0) = 1.0;
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85 return retval;
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86 }
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87
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88 int arg_is_empty = empty_arg ("det", nr, nc);
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89 if (arg_is_empty < 0)
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90 return retval;
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91 if (arg_is_empty > 0)
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92 return octave_value (Matrix (1, 1, 1.0));
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93
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94
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95 if (nr != nc)
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96 {
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97 gripe_square_matrix_required ("det");
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98 return retval;
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99 }
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100
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101 bool isfloat = arg.is_single_type ();
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102
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103 if (arg.is_diag_matrix ())
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104 {
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105 if (arg.is_complex_type ())
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106 {
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107 if (isfloat)
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108 {
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109 retval(0) = arg.float_complex_diag_matrix_value ()
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110 .determinant ().value ();
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111 if (nargout > 1)
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112 retval(1) = arg.float_complex_diag_matrix_value ().rcond ();
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113 }
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114 else
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115 {
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116 retval(0) = arg.complex_diag_matrix_value ()
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117 .determinant ().value ();
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118 if (nargout > 1)
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119 retval(1) = arg.complex_diag_matrix_value ().rcond ();
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120 }
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121 }
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122 else
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123 {
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124 if (isfloat)
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125 {
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126 retval(0) = arg.float_diag_matrix_value ()
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127 .determinant ().value ();
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128 if (nargout > 1)
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129 retval(1) = arg.float_diag_matrix_value ().rcond ();
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130 }
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131 else
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132 {
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133 retval(0) = arg.diag_matrix_value ().determinant ().value ();
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134 if (nargout > 1)
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135 retval(1) = arg.diag_matrix_value ().rcond ();
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136 }
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137 }
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138 }
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139 else if (arg.is_perm_matrix ())
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140 {
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141 retval(0) = static_cast<double> (arg.perm_matrix_value ().determinant ());
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142 if (nargout > 1)
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143 retval(1) = 1.0;
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144 }
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145 else if (arg.is_single_type ())
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146 {
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147 if (arg.is_real_type ())
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148 {
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149 octave_idx_type info;
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150 float rcond = 0.0;
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151 // Always compute rcond, so we can detect numerically
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152 // singular matrices.
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153 FloatMatrix m = arg.float_matrix_value ();
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154
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155 MAYBE_CAST (rep, octave_float_matrix);
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156 MatrixType mtype = rep ? rep -> matrix_type () : MatrixType ();
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157 FloatDET det = m.determinant (mtype, info, rcond);
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158 retval(1) = rcond;
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159 retval(0) = info == -1 ? 0.0f : det.value ();
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160 if (rep)
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161 rep->matrix_type (mtype);
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162 }
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163 else if (arg.is_complex_type ())
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164 {
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165 octave_idx_type info;
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166 float rcond = 0.0;
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167 // Always compute rcond, so we can detect numerically
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168 // singular matrices.
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169 FloatComplexMatrix m = arg.float_complex_matrix_value ();
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170
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171 MAYBE_CAST (rep, octave_float_complex_matrix);
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172 MatrixType mtype = rep ? rep -> matrix_type () : MatrixType ();
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173 FloatComplexDET det = m.determinant (mtype, info, rcond);
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174 retval(1) = rcond;
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175 retval(0) = info == -1 ? FloatComplex (0.0) : det.value ();
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176 if (rep)
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177 rep->matrix_type (mtype);
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178 }
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179 }
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180 else
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181 {
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182 if (arg.is_real_type ())
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183 {
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184 octave_idx_type info;
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185 double rcond = 0.0;
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186 // Always compute rcond, so we can detect numerically
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187 // singular matrices.
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188 if (arg.is_sparse_type ())
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189 {
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190 SparseMatrix m = arg.sparse_matrix_value ();
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191
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192 DET det = m.determinant (info, rcond);
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193 retval(1) = rcond;
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194 retval(0) = info == -1 ? 0.0 : det.value ();
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195 }
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196 else
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197 {
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198 Matrix m = arg.matrix_value ();
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199
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200 MAYBE_CAST (rep, octave_matrix);
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201 MatrixType mtype = rep ? rep -> matrix_type ()
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202 : MatrixType ();
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203 DET det = m.determinant (mtype, info, rcond);
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204 retval(1) = rcond;
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205 retval(0) = info == -1 ? 0.0 : det.value ();
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206 if (rep)
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207 rep->matrix_type (mtype);
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208 }
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209 }
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210 else if (arg.is_complex_type ())
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211 {
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212 octave_idx_type info;
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213 double rcond = 0.0;
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214 // Always compute rcond, so we can detect numerically
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215 // singular matrices.
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diff changeset
216 if (arg.is_sparse_type ())
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diff changeset
217 {
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218 SparseComplexMatrix m = arg.sparse_complex_matrix_value ();
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219
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220 ComplexDET det = m.determinant (info, rcond);
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221 retval(1) = rcond;
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222 retval(0) = info == -1 ? Complex (0.0) : det.value ();
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223 }
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diff changeset
224 else
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diff changeset
225 {
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226 ComplexMatrix m = arg.complex_matrix_value ();
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227
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228 MAYBE_CAST (rep, octave_complex_matrix);
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229 MatrixType mtype = rep ? rep -> matrix_type ()
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230 : MatrixType ();
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231 ComplexDET det = m.determinant (mtype, info, rcond);
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232 retval(1) = rcond;
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233 retval(0) = info == -1 ? Complex (0.0) : det.value ();
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diff changeset
234 if (rep)
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235 rep->matrix_type (mtype);
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236 }
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237 }
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238 else
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239 gripe_wrong_type_arg ("det", arg);
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240 }
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241 return retval;
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diff changeset
242 }
295f037b4b3e [project @ 1997-05-05 05:32:33 by jwe]
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243
295f037b4b3e [project @ 1997-05-05 05:32:33 by jwe]
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diff changeset
244 /*
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245 %!assert (det ([1, 2; 3, 4]), -2, 10*eps)
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246 %!assert (det (single ([1, 2; 3, 4])), single (-2), 10*eps ("single"))
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247 %!error det ()
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248 %!error det (1, 2)
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diff changeset
249 %!error <argument must be a square matrix> det ([1, 2; 3, 4; 5, 6])
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diff changeset
250 */