Mercurial > octave-nkf
annotate libinterp/corefcn/det.cc @ 19772:9155bab86647
use 0.0f style constants instead of static_cast<float> (0.0)
* data.cc, det.cc, op-fcm-fcs.cc, op-fcs-fcm.cc, op-fcs-fcs.cc,
op-fcs-fm.cc, op-fcs-fs.cc, op-fm-fcs.cc, op-fs-fcs.cc,
fCDiagMatrix.cc, lo-mappers.cc, mx-ops: Use 0.0f style constants
instead of static_cast<float> (0.0).
author | John W. Eaton <jwe@octave.org> |
---|---|
date | Tue, 17 Feb 2015 16:30:52 -0500 |
parents | 4197fc428c7d |
children | 4f45eaf83908 |
rev | line source |
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2928 | 1 /* |
2 | |
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3 Copyright (C) 1996-2015 John W. Eaton |
2928 | 4 |
5 This file is part of Octave. | |
6 | |
7 Octave is free software; you can redistribute it and/or modify it | |
8 under the terms of the GNU General Public License as published by the | |
7016 | 9 Free Software Foundation; either version 3 of the License, or (at your |
10 option) any later version. | |
2928 | 11 |
12 Octave is distributed in the hope that it will be useful, but WITHOUT | |
13 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or | |
14 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License | |
15 for more details. | |
16 | |
17 You should have received a copy of the GNU General Public License | |
7016 | 18 along with Octave; see the file COPYING. If not, see |
19 <http://www.gnu.org/licenses/>. | |
2928 | 20 |
21 */ | |
22 | |
23 #ifdef HAVE_CONFIG_H | |
24 #include <config.h> | |
25 #endif | |
26 | |
8335 | 27 #include "DET.h" |
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29 #include "defun.h" |
2928 | 30 #include "error.h" |
31 #include "gripes.h" | |
32 #include "oct-obj.h" | |
33 #include "utils.h" | |
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34 #include "ops.h" |
2928 | 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 Routines from @sc{lapack} are used for full matrices and code from\n\ |
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59 @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\ |
3372 | 65 @end deftypefn") |
2928 | 66 { |
67 octave_value_list retval; | |
68 | |
69 int nargin = args.length (); | |
70 | |
71 if (nargin != 1) | |
72 { | |
5823 | 73 print_usage (); |
2928 | 74 return retval; |
75 } | |
76 | |
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 (); |
2928 | 81 |
82 if (nr == 0 && nc == 0) | |
83 { | |
4233 | 84 retval(0) = 1.0; |
2928 | 85 return retval; |
86 } | |
87 | |
88 int arg_is_empty = empty_arg ("det", nr, nc); | |
89 if (arg_is_empty < 0) | |
90 return retval; | |
91 if (arg_is_empty > 0) | |
4233 | 92 return octave_value (Matrix (1, 1, 1.0)); |
2928 | 93 |
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94 |
2928 | 95 if (nr != nc) |
96 { | |
97 gripe_square_matrix_required ("det"); | |
98 return retval; | |
99 } | |
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 ()) |
2928 | 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 if (! error_state) |
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155 { |
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156 MAYBE_CAST (rep, octave_float_matrix); |
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157 MatrixType mtype = rep ? rep -> matrix_type () : MatrixType (); |
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158 FloatDET det = m.determinant (mtype, info, rcond); |
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159 retval(1) = rcond; |
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160 retval(0) = info == -1 ? 0.0f : det.value (); |
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161 if (rep) rep->matrix_type (mtype); |
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162 } |
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163 } |
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164 else if (arg.is_complex_type ()) |
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165 { |
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166 octave_idx_type info; |
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167 float rcond = 0.0; |
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168 // Always compute rcond, so we can detect numerically |
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169 // singular matrices. |
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170 FloatComplexMatrix m = arg.float_complex_matrix_value (); |
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171 if (! error_state) |
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172 { |
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173 MAYBE_CAST (rep, octave_float_complex_matrix); |
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174 MatrixType mtype = rep ? rep -> matrix_type () : MatrixType (); |
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175 FloatComplexDET det = m.determinant (mtype, info, rcond); |
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176 retval(1) = rcond; |
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177 retval(0) = info == -1 ? FloatComplex (0.0) : det.value (); |
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178 if (rep) rep->matrix_type (mtype); |
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179 } |
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180 } |
2928 | 181 } |
182 else | |
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183 { |
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184 if (arg.is_real_type ()) |
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185 { |
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186 octave_idx_type info; |
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187 double rcond = 0.0; |
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188 // Always compute rcond, so we can detect numerically |
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189 // singular matrices. |
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190 if (arg.is_sparse_type ()) |
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191 { |
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192 SparseMatrix m = arg.sparse_matrix_value (); |
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193 if (! error_state) |
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194 { |
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195 DET det = m.determinant (info, rcond); |
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196 retval(1) = rcond; |
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197 retval(0) = info == -1 ? 0.0 : det.value (); |
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198 } |
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199 } |
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200 else |
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201 { |
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202 Matrix m = arg.matrix_value (); |
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203 if (! error_state) |
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204 { |
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205 MAYBE_CAST (rep, octave_matrix); |
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206 MatrixType mtype = rep ? rep -> matrix_type () |
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207 : MatrixType (); |
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208 DET det = m.determinant (mtype, info, rcond); |
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209 retval(1) = rcond; |
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210 retval(0) = info == -1 ? 0.0 : det.value (); |
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211 if (rep) rep->matrix_type (mtype); |
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212 } |
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213 } |
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214 } |
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215 else if (arg.is_complex_type ()) |
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216 { |
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217 octave_idx_type info; |
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218 double rcond = 0.0; |
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219 // Always compute rcond, so we can detect numerically |
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220 // singular matrices. |
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221 if (arg.is_sparse_type ()) |
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222 { |
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223 SparseComplexMatrix m = arg.sparse_complex_matrix_value (); |
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224 if (! error_state) |
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225 { |
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226 ComplexDET det = m.determinant (info, rcond); |
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227 retval(1) = rcond; |
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228 retval(0) = info == -1 ? Complex (0.0) : det.value (); |
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229 } |
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230 } |
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231 else |
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232 { |
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233 ComplexMatrix m = arg.complex_matrix_value (); |
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234 if (! error_state) |
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235 { |
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236 MAYBE_CAST (rep, octave_complex_matrix); |
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237 MatrixType mtype = rep ? rep -> matrix_type () |
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238 : MatrixType (); |
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239 ComplexDET det = m.determinant (mtype, info, rcond); |
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240 retval(1) = rcond; |
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241 retval(0) = info == -1 ? Complex (0.0) : det.value (); |
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242 if (rep) rep->matrix_type (mtype); |
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243 } |
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244 } |
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245 } |
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246 else |
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247 gripe_wrong_type_arg ("det", arg); |
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248 } |
2928 | 249 return retval; |
250 } | |
251 | |
252 /* | |
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253 %!assert (det ([1, 2; 3, 4]), -2, 10*eps) |
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254 %!assert (det (single ([1, 2; 3, 4])), single (-2), 10*eps ("single")) |
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255 %!error det () |
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256 %!error det (1, 2) |
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257 %!error <argument must be a square matrix> det ([1, 2; 3, 4; 5, 6]) |
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258 */ |