Mercurial > hg > octave-nkf
annotate src/sparse-xpow.cc @ 14861:f7afecdd87ef
maint: Use Octave coding conventions for cuddling parentheses in src/ directory
* bitfcns.cc, comment-list.cc, data.cc, defun.cc, error.cc, gl-render.cc,
graphics.cc, graphics.in.h, load-path.cc, load-path.h, load-save.cc,
ls-hdf5.cc, ls-mat4.cc, ls-mat5.cc, ls-oct-ascii.cc, mappers.cc, mex.cc,
oct-map.cc, oct-obj.cc, ov-base-int.cc, ov-base-mat.h, ov-base-sparse.cc,
ov-bool-mat.cc, ov-bool-sparse.cc, ov-cell.cc, ov-class.cc, ov-complex.cc,
ov-cx-mat.cc, ov-cx-sparse.cc, ov-fcn-handle.cc, ov-flt-cx-mat.cc,
ov-flt-re-mat.cc, ov-re-mat.cc, ov-re-sparse.cc, ov-scalar.cc, ov-str-mat.cc,
ov-struct.cc, ov-usr-fcn.cc, ov.cc, pr-output.cc, procstream.h, sighandlers.cc,
sparse-xdiv.cc, sparse-xpow.cc, sparse.cc, symtab.cc, syscalls.cc, sysdep.cc,
txt-eng-ft.cc, variables.cc, zfstream.cc, zfstream.h: Use Octave coding
conventions for cuddling parentheses.
author | Rik <octave@nomad.inbox5.com> |
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date | Sat, 14 Jul 2012 06:22:56 -0700 |
parents | 72c96de7a403 |
children |
rev | line source |
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5164 | 1 /* |
2 | |
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3 Copyright (C) 2004-2012 David Bateman |
11523 | 4 Copyright (C) 1998-2004 Andy Adler |
7016 | 5 |
6 This file is part of Octave. | |
5164 | 7 |
8 Octave is free software; you can redistribute it and/or modify it | |
9 under the terms of the GNU General Public License as published by the | |
7016 | 10 Free Software Foundation; either version 3 of the License, or (at your |
11 option) any later version. | |
5164 | 12 |
13 Octave is distributed in the hope that it will be useful, but WITHOUT | |
14 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or | |
15 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License | |
16 for more details. | |
17 | |
18 You should have received a copy of the GNU General Public License | |
7016 | 19 along with Octave; see the file COPYING. If not, see |
20 <http://www.gnu.org/licenses/>. | |
5164 | 21 |
22 */ | |
23 | |
24 #ifdef HAVE_CONFIG_H | |
25 #include <config.h> | |
26 #endif | |
27 | |
28 #include <cassert> | |
29 #include <climits> | |
30 | |
31 #include "Array-util.h" | |
32 #include "oct-cmplx.h" | |
33 #include "quit.h" | |
34 | |
35 #include "error.h" | |
36 #include "oct-obj.h" | |
37 #include "utils.h" | |
38 | |
39 #include "dSparse.h" | |
40 #include "CSparse.h" | |
41 #include "ov-re-sparse.h" | |
42 #include "ov-cx-sparse.h" | |
43 #include "sparse-xpow.h" | |
44 | |
45 static inline int | |
46 xisint (double x) | |
47 { | |
48 return (D_NINT (x) == x | |
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49 && ((x >= 0 && x < INT_MAX) |
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50 || (x <= 0 && x > INT_MIN))); |
5164 | 51 } |
52 | |
53 | |
54 // Safer pow functions. Only two make sense for sparse matrices, the | |
55 // others should all promote to full matrices. | |
56 | |
57 octave_value | |
58 xpow (const SparseMatrix& a, double b) | |
59 { | |
60 octave_value retval; | |
61 | |
5275 | 62 octave_idx_type nr = a.rows (); |
63 octave_idx_type nc = a.cols (); | |
5164 | 64 |
65 if (nr == 0 || nc == 0 || nr != nc) | |
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66 error ("for A^b, A must be a square matrix"); |
5164 | 67 else |
68 { | |
69 if (static_cast<int> (b) == b) | |
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70 { |
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71 int btmp = static_cast<int> (b); |
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72 if (btmp == 0) |
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73 { |
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74 SparseMatrix tmp = SparseMatrix (nr, nr, nr); |
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75 for (octave_idx_type i = 0; i < nr; i++) |
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76 { |
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77 tmp.data (i) = 1.0; |
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78 tmp.ridx (i) = i; |
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79 } |
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80 for (octave_idx_type i = 0; i < nr + 1; i++) |
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81 tmp.cidx (i) = i; |
5164 | 82 |
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83 retval = tmp; |
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84 } |
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85 else |
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86 { |
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87 SparseMatrix atmp; |
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88 if (btmp < 0) |
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89 { |
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90 btmp = -btmp; |
5164 | 91 |
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92 octave_idx_type info; |
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93 double rcond = 0.0; |
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94 MatrixType mattyp (a); |
5164 | 95 |
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96 atmp = a.inverse (mattyp, info, rcond, 1); |
5164 | 97 |
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98 if (info == -1) |
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99 warning ("inverse: matrix singular to machine\ |
5164 | 100 precision, rcond = %g", rcond); |
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101 } |
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102 else |
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103 atmp = a; |
5164 | 104 |
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105 SparseMatrix result (atmp); |
5164 | 106 |
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107 btmp--; |
5164 | 108 |
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109 while (btmp > 0) |
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110 { |
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111 if (btmp & 1) |
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112 result = result * atmp; |
5164 | 113 |
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114 btmp >>= 1; |
5164 | 115 |
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116 if (btmp > 0) |
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117 atmp = atmp * atmp; |
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118 } |
5164 | 119 |
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120 retval = result; |
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121 } |
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122 } |
5164 | 123 else |
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124 error ("use full(a) ^ full(b)"); |
5164 | 125 } |
126 | |
127 return retval; | |
128 } | |
129 | |
130 octave_value | |
131 xpow (const SparseComplexMatrix& a, double b) | |
132 { | |
133 octave_value retval; | |
134 | |
5275 | 135 octave_idx_type nr = a.rows (); |
136 octave_idx_type nc = a.cols (); | |
5164 | 137 |
138 if (nr == 0 || nc == 0 || nr != nc) | |
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139 error ("for A^b, A must be a square matrix"); |
5164 | 140 else |
141 { | |
142 if (static_cast<int> (b) == b) | |
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143 { |
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144 int btmp = static_cast<int> (b); |
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145 if (btmp == 0) |
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146 { |
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147 SparseMatrix tmp = SparseMatrix (nr, nr, nr); |
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148 for (octave_idx_type i = 0; i < nr; i++) |
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149 { |
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150 tmp.data (i) = 1.0; |
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151 tmp.ridx (i) = i; |
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152 } |
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153 for (octave_idx_type i = 0; i < nr + 1; i++) |
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154 tmp.cidx (i) = i; |
5164 | 155 |
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156 retval = tmp; |
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157 } |
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158 else |
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159 { |
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160 SparseComplexMatrix atmp; |
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161 if (btmp < 0) |
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162 { |
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163 btmp = -btmp; |
5164 | 164 |
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165 octave_idx_type info; |
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166 double rcond = 0.0; |
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167 MatrixType mattyp (a); |
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169 atmp = a.inverse (mattyp, info, rcond, 1); |
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171 if (info == -1) |
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172 warning ("inverse: matrix singular to machine\ |
5164 | 173 precision, rcond = %g", rcond); |
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174 } |
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175 else |
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176 atmp = a; |
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178 SparseComplexMatrix result (atmp); |
5164 | 179 |
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180 btmp--; |
5164 | 181 |
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182 while (btmp > 0) |
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183 { |
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184 if (btmp & 1) |
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185 result = result * atmp; |
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187 btmp >>= 1; |
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189 if (btmp > 0) |
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190 atmp = atmp * atmp; |
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191 } |
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193 retval = result; |
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194 } |
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195 } |
5164 | 196 else |
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197 error ("use full(a) ^ full(b)"); |
5164 | 198 } |
199 | |
200 return retval; | |
201 } | |
202 | |
203 // Safer pow functions that work elementwise for matrices. | |
204 // | |
205 // op2 \ op1: s m cs cm | |
206 // +-- +---+---+----+----+ | |
207 // scalar | | * | 3 | * | 9 | | |
208 // +---+---+----+----+ | |
209 // matrix | 1 | 4 | 7 | 10 | | |
210 // +---+---+----+----+ | |
211 // complex_scalar | * | 5 | * | 11 | | |
212 // +---+---+----+----+ | |
213 // complex_matrix | 2 | 6 | 8 | 12 | | |
214 // +---+---+----+----+ | |
215 // | |
216 // * -> not needed. | |
217 | |
5775 | 218 // FIXME -- these functions need to be fixed so that things |
5164 | 219 // like |
220 // | |
221 // a = -1; b = [ 0, 0.5, 1 ]; r = a .^ b | |
222 // | |
223 // and | |
224 // | |
225 // a = -1; b = [ 0, 0.5, 1 ]; for i = 1:3, r(i) = a .^ b(i), end | |
226 // | |
227 // produce identical results. Also, it would be nice if -1^0.5 | |
228 // produced a pure imaginary result instead of a complex number with a | |
229 // small real part. But perhaps that's really a problem with the math | |
230 // library... | |
231 | |
232 // -*- 1 -*- | |
233 octave_value | |
234 elem_xpow (double a, const SparseMatrix& b) | |
235 { | |
236 octave_value retval; | |
237 | |
5275 | 238 octave_idx_type nr = b.rows (); |
239 octave_idx_type nc = b.cols (); | |
5164 | 240 |
241 double d1, d2; | |
242 | |
243 if (a < 0.0 && ! b.all_integers (d1, d2)) | |
244 { | |
245 Complex atmp (a); | |
246 ComplexMatrix result (nr, nc); | |
247 | |
5275 | 248 for (octave_idx_type j = 0; j < nc; j++) |
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249 { |
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250 for (octave_idx_type i = 0; i < nr; i++) |
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251 { |
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252 octave_quit (); |
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253 result(i, j) = std::pow (atmp, b(i,j)); |
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254 } |
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255 } |
5164 | 256 |
257 retval = result; | |
258 } | |
259 else | |
260 { | |
261 Matrix result (nr, nc); | |
262 | |
5275 | 263 for (octave_idx_type j = 0; j < nc; j++) |
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264 { |
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265 for (octave_idx_type i = 0; i < nr; i++) |
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266 { |
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267 octave_quit (); |
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268 result(i, j) = std::pow (a, b(i,j)); |
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269 } |
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270 } |
5164 | 271 |
272 retval = result; | |
273 } | |
274 | |
275 return retval; | |
276 } | |
277 | |
278 // -*- 2 -*- | |
279 octave_value | |
280 elem_xpow (double a, const SparseComplexMatrix& b) | |
281 { | |
5275 | 282 octave_idx_type nr = b.rows (); |
283 octave_idx_type nc = b.cols (); | |
5164 | 284 |
285 Complex atmp (a); | |
286 ComplexMatrix result (nr, nc); | |
287 | |
5275 | 288 for (octave_idx_type j = 0; j < nc; j++) |
5164 | 289 { |
5275 | 290 for (octave_idx_type i = 0; i < nr; i++) |
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291 { |
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292 octave_quit (); |
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293 result(i, j) = std::pow (atmp, b(i,j)); |
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294 } |
5164 | 295 } |
296 | |
297 return result; | |
298 } | |
299 | |
300 // -*- 3 -*- | |
301 octave_value | |
302 elem_xpow (const SparseMatrix& a, double b) | |
303 { | |
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304 // FIXME What should a .^ 0 give?? Matlab gives a |
5164 | 305 // sparse matrix with same structure as a, which is strictly |
306 // incorrect. Keep compatiability. | |
307 | |
308 octave_value retval; | |
309 | |
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310 octave_idx_type nz = a.nnz (); |
5164 | 311 |
312 if (b <= 0.0) | |
313 { | |
5275 | 314 octave_idx_type nr = a.rows (); |
315 octave_idx_type nc = a.cols (); | |
5164 | 316 |
317 if (static_cast<int> (b) != b && a.any_element_is_negative ()) | |
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318 { |
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319 ComplexMatrix result (nr, nc, Complex (std::pow (0.0, b))); |
5164 | 320 |
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321 // FIXME -- avoid apparent GNU libm bug by |
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322 // converting A and B to complex instead of just A. |
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323 Complex btmp (b); |
5164 | 324 |
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325 for (octave_idx_type j = 0; j < nc; j++) |
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326 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
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327 { |
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328 octave_quit (); |
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329 |
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330 Complex atmp (a.data (i)); |
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331 |
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332 result(a.ridx (i), j) = std::pow (atmp, btmp); |
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333 } |
5164 | 334 |
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335 retval = octave_value (result); |
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336 } |
5164 | 337 else |
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338 { |
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339 Matrix result (nr, nc, (std::pow (0.0, b))); |
5164 | 340 |
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341 for (octave_idx_type j = 0; j < nc; j++) |
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342 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
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343 { |
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344 octave_quit (); |
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345 result(a.ridx (i), j) = std::pow (a.data (i), b); |
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346 } |
5164 | 347 |
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348 retval = octave_value (result); |
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349 } |
5164 | 350 } |
351 else if (static_cast<int> (b) != b && a.any_element_is_negative ()) | |
352 { | |
353 SparseComplexMatrix result (a); | |
354 | |
5275 | 355 for (octave_idx_type i = 0; i < nz; i++) |
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356 { |
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357 octave_quit (); |
5164 | 358 |
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359 // FIXME -- avoid apparent GNU libm bug by |
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360 // converting A and B to complex instead of just A. |
5164 | 361 |
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362 Complex atmp (a.data (i)); |
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363 Complex btmp (b); |
5164 | 364 |
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365 result.data (i) = std::pow (atmp, btmp); |
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366 } |
5164 | 367 |
368 result.maybe_compress (true); | |
369 | |
370 retval = result; | |
371 } | |
372 else | |
373 { | |
374 SparseMatrix result (a); | |
375 | |
5275 | 376 for (octave_idx_type i = 0; i < nz; i++) |
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377 { |
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378 octave_quit (); |
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379 result.data (i) = std::pow (a.data (i), b); |
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380 } |
5164 | 381 |
382 result.maybe_compress (true); | |
383 | |
384 retval = result; | |
385 } | |
386 | |
387 return retval; | |
388 } | |
389 | |
390 // -*- 4 -*- | |
391 octave_value | |
392 elem_xpow (const SparseMatrix& a, const SparseMatrix& b) | |
393 { | |
394 octave_value retval; | |
395 | |
5275 | 396 octave_idx_type nr = a.rows (); |
397 octave_idx_type nc = a.cols (); | |
5164 | 398 |
5275 | 399 octave_idx_type b_nr = b.rows (); |
400 octave_idx_type b_nc = b.cols (); | |
5164 | 401 |
402 if (nr != b_nr || nc != b_nc) | |
403 { | |
404 gripe_nonconformant ("operator .^", nr, nc, b_nr, b_nc); | |
405 return octave_value (); | |
406 } | |
407 | |
408 int convert_to_complex = 0; | |
5275 | 409 for (octave_idx_type j = 0; j < nc; j++) |
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410 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
5164 | 411 { |
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412 if (a.data(i) < 0.0) |
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413 { |
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414 double btmp = b (a.ridx (i), j); |
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415 if (static_cast<int> (btmp) != btmp) |
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416 { |
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417 convert_to_complex = 1; |
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418 goto done; |
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419 } |
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420 } |
5164 | 421 } |
422 | |
423 done: | |
424 | |
5953 | 425 // This is a dumb operator for sparse matrices anyway, and there is |
426 // no sensible way to handle the 0.^0 versus the 0.^x cases. Therefore | |
427 // allocate a full matrix filled for the 0.^0 case and shrink it later | |
428 // as needed | |
5164 | 429 |
430 if (convert_to_complex) | |
431 { | |
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432 SparseComplexMatrix complex_result (nr, nc, Complex (1.0, 0.0)); |
5164 | 433 |
5275 | 434 for (octave_idx_type j = 0; j < nc; j++) |
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435 { |
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436 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
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437 { |
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438 octave_quit (); |
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439 complex_result.xelem (a.ridx (i), j) = |
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440 std::pow (Complex (a.data (i)), Complex (b(a.ridx (i), j))); |
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441 } |
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442 } |
5953 | 443 complex_result.maybe_compress (true); |
5164 | 444 retval = complex_result; |
445 } | |
446 else | |
447 { | |
5953 | 448 SparseMatrix result (nr, nc, 1.0); |
5164 | 449 |
5275 | 450 for (octave_idx_type j = 0; j < nc; j++) |
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451 { |
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452 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
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453 { |
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454 octave_quit (); |
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455 result.xelem (a.ridx (i), j) = std::pow (a.data (i), |
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456 b(a.ridx (i), j)); |
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457 } |
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458 } |
5953 | 459 result.maybe_compress (true); |
5164 | 460 retval = result; |
461 } | |
462 | |
463 return retval; | |
464 } | |
465 | |
466 // -*- 5 -*- | |
467 octave_value | |
468 elem_xpow (const SparseMatrix& a, const Complex& b) | |
469 { | |
470 octave_value retval; | |
471 | |
472 if (b == 0.0) | |
473 // Can this case ever happen, due to automatic retyping with maybe_mutate? | |
474 retval = octave_value (NDArray (a.dims (), 1)); | |
475 else | |
476 { | |
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477 octave_idx_type nz = a.nnz (); |
5164 | 478 SparseComplexMatrix result (a); |
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479 |
5275 | 480 for (octave_idx_type i = 0; i < nz; i++) |
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481 { |
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482 octave_quit (); |
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483 result.data (i) = std::pow (Complex (a.data (i)), b); |
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484 } |
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485 |
5164 | 486 result.maybe_compress (true); |
487 | |
488 retval = result; | |
489 } | |
490 | |
491 return retval; | |
492 } | |
493 | |
494 // -*- 6 -*- | |
495 octave_value | |
496 elem_xpow (const SparseMatrix& a, const SparseComplexMatrix& b) | |
497 { | |
5275 | 498 octave_idx_type nr = a.rows (); |
499 octave_idx_type nc = a.cols (); | |
5164 | 500 |
5275 | 501 octave_idx_type b_nr = b.rows (); |
502 octave_idx_type b_nc = b.cols (); | |
5164 | 503 |
504 if (nr != b_nr || nc != b_nc) | |
505 { | |
506 gripe_nonconformant ("operator .^", nr, nc, b_nr, b_nc); | |
507 return octave_value (); | |
508 } | |
509 | |
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510 SparseComplexMatrix result (nr, nc, Complex (1.0, 0.0)); |
5275 | 511 for (octave_idx_type j = 0; j < nc; j++) |
5164 | 512 { |
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513 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
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514 { |
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515 octave_quit (); |
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516 result.xelem (a.ridx(i), j) = std::pow (a.data (i), b(a.ridx (i), j)); |
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517 } |
5164 | 518 } |
519 | |
5953 | 520 result.maybe_compress (true); |
5164 | 521 |
522 return result; | |
523 } | |
524 | |
525 // -*- 7 -*- | |
526 octave_value | |
527 elem_xpow (const Complex& a, const SparseMatrix& b) | |
528 { | |
5275 | 529 octave_idx_type nr = b.rows (); |
530 octave_idx_type nc = b.cols (); | |
5164 | 531 |
532 ComplexMatrix result (nr, nc); | |
533 | |
5275 | 534 for (octave_idx_type j = 0; j < nc; j++) |
5164 | 535 { |
5275 | 536 for (octave_idx_type i = 0; i < nr; i++) |
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537 { |
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538 octave_quit (); |
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539 double btmp = b (i, j); |
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540 if (xisint (btmp)) |
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541 result (i, j) = std::pow (a, static_cast<int> (btmp)); |
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542 else |
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543 result (i, j) = std::pow (a, btmp); |
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544 } |
5164 | 545 } |
546 | |
547 return result; | |
548 } | |
549 | |
550 // -*- 8 -*- | |
551 octave_value | |
552 elem_xpow (const Complex& a, const SparseComplexMatrix& b) | |
553 { | |
5275 | 554 octave_idx_type nr = b.rows (); |
555 octave_idx_type nc = b.cols (); | |
5164 | 556 |
557 ComplexMatrix result (nr, nc); | |
5275 | 558 for (octave_idx_type j = 0; j < nc; j++) |
559 for (octave_idx_type i = 0; i < nr; i++) | |
5164 | 560 { |
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561 octave_quit (); |
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562 result (i, j) = std::pow (a, b (i, j)); |
5164 | 563 } |
564 | |
565 return result; | |
566 } | |
567 | |
568 // -*- 9 -*- | |
569 octave_value | |
570 elem_xpow (const SparseComplexMatrix& a, double b) | |
571 { | |
572 octave_value retval; | |
573 | |
574 if (b <= 0) | |
575 { | |
5275 | 576 octave_idx_type nr = a.rows (); |
577 octave_idx_type nc = a.cols (); | |
5164 | 578 |
5953 | 579 ComplexMatrix result (nr, nc, Complex (std::pow (0.0, b))); |
5164 | 580 |
581 if (xisint (b)) | |
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582 { |
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583 for (octave_idx_type j = 0; j < nc; j++) |
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584 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
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585 { |
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586 octave_quit (); |
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587 result (a.ridx (i), j) = |
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588 std::pow (a.data (i), static_cast<int> (b)); |
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589 } |
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590 } |
5164 | 591 else |
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592 { |
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593 for (octave_idx_type j = 0; j < nc; j++) |
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594 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
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595 { |
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596 octave_quit (); |
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597 result (a.ridx (i), j) = std::pow (a.data (i), b); |
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598 } |
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599 } |
5164 | 600 |
601 retval = result; | |
602 } | |
603 else | |
604 { | |
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605 octave_idx_type nz = a.nnz (); |
5164 | 606 |
607 SparseComplexMatrix result (a); | |
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608 |
5164 | 609 if (xisint (b)) |
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610 { |
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611 for (octave_idx_type i = 0; i < nz; i++) |
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612 { |
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613 octave_quit (); |
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614 result.data (i) = std::pow (a.data (i), static_cast<int> (b)); |
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615 } |
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616 } |
5164 | 617 else |
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618 { |
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619 for (octave_idx_type i = 0; i < nz; i++) |
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620 { |
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621 octave_quit (); |
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622 result.data (i) = std::pow (a.data (i), b); |
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623 } |
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624 } |
5164 | 625 |
626 result.maybe_compress (true); | |
627 | |
628 retval = result; | |
629 } | |
630 | |
631 return retval; | |
632 } | |
633 | |
634 // -*- 10 -*- | |
635 octave_value | |
636 elem_xpow (const SparseComplexMatrix& a, const SparseMatrix& b) | |
637 { | |
5275 | 638 octave_idx_type nr = a.rows (); |
639 octave_idx_type nc = a.cols (); | |
5164 | 640 |
5275 | 641 octave_idx_type b_nr = b.rows (); |
642 octave_idx_type b_nc = b.cols (); | |
5164 | 643 |
644 if (nr != b_nr || nc != b_nc) | |
645 { | |
646 gripe_nonconformant ("operator .^", nr, nc, b_nr, b_nc); | |
647 return octave_value (); | |
648 } | |
649 | |
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650 SparseComplexMatrix result (nr, nc, Complex (1.0, 0.0)); |
5275 | 651 for (octave_idx_type j = 0; j < nc; j++) |
5164 | 652 { |
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653 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
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654 { |
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655 octave_quit (); |
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656 double btmp = b(a.ridx (i), j); |
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657 Complex tmp; |
5164 | 658 |
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659 if (xisint (btmp)) |
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660 result.xelem (a.ridx (i), j) = std::pow (a.data (i), |
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661 static_cast<int> (btmp)); |
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662 else |
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663 result.xelem (a.ridx (i), j) = std::pow (a.data (i), btmp); |
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664 } |
5164 | 665 } |
666 | |
5953 | 667 result.maybe_compress (true); |
5164 | 668 |
669 return result; | |
670 } | |
671 | |
672 // -*- 11 -*- | |
673 octave_value | |
674 elem_xpow (const SparseComplexMatrix& a, const Complex& b) | |
675 { | |
676 octave_value retval; | |
677 | |
678 if (b == 0.0) | |
679 // Can this case ever happen, due to automatic retyping with maybe_mutate? | |
680 retval = octave_value (NDArray (a.dims (), 1)); | |
681 else | |
682 { | |
683 | |
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684 octave_idx_type nz = a.nnz (); |
5164 | 685 |
686 SparseComplexMatrix result (a); | |
687 | |
5275 | 688 for (octave_idx_type i = 0; i < nz; i++) |
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689 { |
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690 octave_quit (); |
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691 result.data (i) = std::pow (a.data (i), b); |
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692 } |
5164 | 693 |
694 result.maybe_compress (true); | |
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695 |
5164 | 696 retval = result; |
697 } | |
698 | |
699 return retval; | |
700 } | |
701 | |
702 // -*- 12 -*- | |
703 octave_value | |
704 elem_xpow (const SparseComplexMatrix& a, const SparseComplexMatrix& b) | |
705 { | |
5275 | 706 octave_idx_type nr = a.rows (); |
707 octave_idx_type nc = a.cols (); | |
5164 | 708 |
5275 | 709 octave_idx_type b_nr = b.rows (); |
710 octave_idx_type b_nc = b.cols (); | |
5164 | 711 |
712 if (nr != b_nr || nc != b_nc) | |
713 { | |
714 gripe_nonconformant ("operator .^", nr, nc, b_nr, b_nc); | |
715 return octave_value (); | |
716 } | |
717 | |
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718 SparseComplexMatrix result (nr, nc, Complex (1.0, 0.0)); |
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719 for (octave_idx_type j = 0; j < nc; j++) |
5164 | 720 { |
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721 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
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722 { |
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723 octave_quit (); |
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724 result.xelem (a.ridx (i), j) = std::pow (a.data (i), b(a.ridx (i), j)); |
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725 } |
5164 | 726 } |
727 result.maybe_compress (true); | |
728 | |
729 return result; | |
730 } |