Mercurial > hg > octave-lyh
annotate libinterp/corefcn/sparse-xpow.cc @ 17535:c12c688a35ed default tip lyh
Fix warnings
author | LYH <lyh.kernel@gmail.com> |
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date | Fri, 27 Sep 2013 17:43:27 +0800 |
parents | 68fc671a9339 |
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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> | |
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29 |
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30 #include <limits> |
5164 | 31 |
32 #include "Array-util.h" | |
33 #include "oct-cmplx.h" | |
34 #include "quit.h" | |
35 | |
36 #include "error.h" | |
37 #include "oct-obj.h" | |
38 #include "utils.h" | |
39 | |
40 #include "dSparse.h" | |
41 #include "CSparse.h" | |
42 #include "ov-re-sparse.h" | |
43 #include "ov-cx-sparse.h" | |
44 #include "sparse-xpow.h" | |
45 | |
46 static inline int | |
47 xisint (double x) | |
48 { | |
49 return (D_NINT (x) == x | |
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50 && ((x >= 0 && x < std::numeric_limits<int>::max ()) |
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51 || (x <= 0 && x > std::numeric_limits<int>::min ()))); |
5164 | 52 } |
53 | |
54 | |
55 // Safer pow functions. Only two make sense for sparse matrices, the | |
56 // others should all promote to full matrices. | |
57 | |
58 octave_value | |
59 xpow (const SparseMatrix& a, double b) | |
60 { | |
61 octave_value retval; | |
62 | |
5275 | 63 octave_idx_type nr = a.rows (); |
64 octave_idx_type nc = a.cols (); | |
5164 | 65 |
66 if (nr == 0 || nc == 0 || nr != nc) | |
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67 error ("for A^b, A must be a square matrix"); |
5164 | 68 else |
69 { | |
70 if (static_cast<int> (b) == b) | |
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71 { |
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72 int btmp = static_cast<int> (b); |
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73 if (btmp == 0) |
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74 { |
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75 SparseMatrix tmp = SparseMatrix (nr, nr, nr); |
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76 for (octave_idx_type i = 0; i < nr; i++) |
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77 { |
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78 tmp.data (i) = 1.0; |
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79 tmp.ridx (i) = i; |
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80 } |
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81 for (octave_idx_type i = 0; i < nr + 1; i++) |
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82 tmp.cidx (i) = i; |
5164 | 83 |
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84 retval = tmp; |
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85 } |
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86 else |
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87 { |
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88 SparseMatrix atmp; |
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89 if (btmp < 0) |
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90 { |
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91 btmp = -btmp; |
5164 | 92 |
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93 octave_idx_type info; |
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94 double rcond = 0.0; |
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95 MatrixType mattyp (a); |
5164 | 96 |
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97 atmp = a.inverse (mattyp, info, rcond, 1); |
5164 | 98 |
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99 if (info == -1) |
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100 warning ("inverse: matrix singular to machine\ |
5164 | 101 precision, rcond = %g", rcond); |
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102 } |
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103 else |
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104 atmp = a; |
5164 | 105 |
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106 SparseMatrix result (atmp); |
5164 | 107 |
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108 btmp--; |
5164 | 109 |
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110 while (btmp > 0) |
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111 { |
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112 if (btmp & 1) |
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113 result = result * atmp; |
5164 | 114 |
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115 btmp >>= 1; |
5164 | 116 |
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117 if (btmp > 0) |
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118 atmp = atmp * atmp; |
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119 } |
5164 | 120 |
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121 retval = result; |
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122 } |
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123 } |
5164 | 124 else |
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125 error ("use full(a) ^ full(b)"); |
5164 | 126 } |
127 | |
128 return retval; | |
129 } | |
130 | |
131 octave_value | |
132 xpow (const SparseComplexMatrix& a, double b) | |
133 { | |
134 octave_value retval; | |
135 | |
5275 | 136 octave_idx_type nr = a.rows (); |
137 octave_idx_type nc = a.cols (); | |
5164 | 138 |
139 if (nr == 0 || nc == 0 || nr != nc) | |
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140 error ("for A^b, A must be a square matrix"); |
5164 | 141 else |
142 { | |
143 if (static_cast<int> (b) == b) | |
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144 { |
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145 int btmp = static_cast<int> (b); |
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146 if (btmp == 0) |
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147 { |
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148 SparseMatrix tmp = SparseMatrix (nr, nr, nr); |
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149 for (octave_idx_type i = 0; i < nr; i++) |
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150 { |
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151 tmp.data (i) = 1.0; |
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152 tmp.ridx (i) = i; |
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153 } |
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154 for (octave_idx_type i = 0; i < nr + 1; i++) |
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155 tmp.cidx (i) = i; |
5164 | 156 |
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157 retval = tmp; |
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158 } |
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159 else |
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160 { |
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161 SparseComplexMatrix atmp; |
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162 if (btmp < 0) |
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163 { |
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164 btmp = -btmp; |
5164 | 165 |
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166 octave_idx_type info; |
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167 double rcond = 0.0; |
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168 MatrixType mattyp (a); |
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170 atmp = a.inverse (mattyp, info, rcond, 1); |
5164 | 171 |
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172 if (info == -1) |
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173 warning ("inverse: matrix singular to machine\ |
5164 | 174 precision, rcond = %g", rcond); |
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175 } |
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176 else |
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177 atmp = a; |
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179 SparseComplexMatrix result (atmp); |
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181 btmp--; |
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183 while (btmp > 0) |
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184 { |
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185 if (btmp & 1) |
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186 result = result * atmp; |
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188 btmp >>= 1; |
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190 if (btmp > 0) |
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191 atmp = atmp * atmp; |
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192 } |
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194 retval = result; |
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195 } |
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196 } |
5164 | 197 else |
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198 error ("use full(a) ^ full(b)"); |
5164 | 199 } |
200 | |
201 return retval; | |
202 } | |
203 | |
204 // Safer pow functions that work elementwise for matrices. | |
205 // | |
206 // op2 \ op1: s m cs cm | |
207 // +-- +---+---+----+----+ | |
208 // scalar | | * | 3 | * | 9 | | |
209 // +---+---+----+----+ | |
210 // matrix | 1 | 4 | 7 | 10 | | |
211 // +---+---+----+----+ | |
212 // complex_scalar | * | 5 | * | 11 | | |
213 // +---+---+----+----+ | |
214 // complex_matrix | 2 | 6 | 8 | 12 | | |
215 // +---+---+----+----+ | |
216 // | |
217 // * -> not needed. | |
218 | |
5775 | 219 // FIXME -- these functions need to be fixed so that things |
5164 | 220 // like |
221 // | |
222 // a = -1; b = [ 0, 0.5, 1 ]; r = a .^ b | |
223 // | |
224 // and | |
225 // | |
226 // a = -1; b = [ 0, 0.5, 1 ]; for i = 1:3, r(i) = a .^ b(i), end | |
227 // | |
228 // produce identical results. Also, it would be nice if -1^0.5 | |
229 // produced a pure imaginary result instead of a complex number with a | |
230 // small real part. But perhaps that's really a problem with the math | |
231 // library... | |
232 | |
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233 // Handle special case of scalar-sparse-matrix .^ sparse-matrix. |
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234 // Forwarding to the scalar elem_xpow function and then converting the |
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235 // result back to a sparse matrix is a bit wasteful but it does not |
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236 // seem worth the effort to optimize -- how often does this case come up |
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237 // in practice? |
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238 |
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239 template <class S, class SM> |
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240 inline octave_value |
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241 scalar_xpow (const S& a, const SM& b) |
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242 { |
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243 octave_value val = elem_xpow (a, b); |
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244 |
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245 if (val.is_complex_type ()) |
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246 return SparseComplexMatrix (val.complex_matrix_value ()); |
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247 else |
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248 return SparseMatrix (val.matrix_value ()); |
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249 } |
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250 |
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251 /* |
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252 %!assert (sparse (2) .^ [3, 4], sparse ([8, 16])); |
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253 %!assert (sparse (2i) .^ [3, 4], sparse ([-0-8i, 16])); |
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254 */ |
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255 |
5164 | 256 // -*- 1 -*- |
257 octave_value | |
258 elem_xpow (double a, const SparseMatrix& b) | |
259 { | |
260 octave_value retval; | |
261 | |
5275 | 262 octave_idx_type nr = b.rows (); |
263 octave_idx_type nc = b.cols (); | |
5164 | 264 |
265 double d1, d2; | |
266 | |
267 if (a < 0.0 && ! b.all_integers (d1, d2)) | |
268 { | |
269 Complex atmp (a); | |
270 ComplexMatrix result (nr, nc); | |
271 | |
5275 | 272 for (octave_idx_type j = 0; j < nc; j++) |
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273 { |
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274 for (octave_idx_type i = 0; i < nr; i++) |
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275 { |
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276 octave_quit (); |
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277 result(i, j) = std::pow (atmp, b(i,j)); |
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278 } |
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279 } |
5164 | 280 |
281 retval = result; | |
282 } | |
283 else | |
284 { | |
285 Matrix result (nr, nc); | |
286 | |
5275 | 287 for (octave_idx_type j = 0; j < nc; j++) |
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288 { |
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289 for (octave_idx_type i = 0; i < nr; i++) |
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290 { |
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291 octave_quit (); |
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292 result(i, j) = std::pow (a, b(i,j)); |
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293 } |
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294 } |
5164 | 295 |
296 retval = result; | |
297 } | |
298 | |
299 return retval; | |
300 } | |
301 | |
302 // -*- 2 -*- | |
303 octave_value | |
304 elem_xpow (double a, const SparseComplexMatrix& b) | |
305 { | |
5275 | 306 octave_idx_type nr = b.rows (); |
307 octave_idx_type nc = b.cols (); | |
5164 | 308 |
309 Complex atmp (a); | |
310 ComplexMatrix result (nr, nc); | |
311 | |
5275 | 312 for (octave_idx_type j = 0; j < nc; j++) |
5164 | 313 { |
5275 | 314 for (octave_idx_type i = 0; i < nr; i++) |
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315 { |
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316 octave_quit (); |
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317 result(i, j) = std::pow (atmp, b(i,j)); |
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318 } |
5164 | 319 } |
320 | |
321 return result; | |
322 } | |
323 | |
324 // -*- 3 -*- | |
325 octave_value | |
326 elem_xpow (const SparseMatrix& a, double b) | |
327 { | |
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328 // FIXME What should a .^ 0 give?? Matlab gives a |
5164 | 329 // sparse matrix with same structure as a, which is strictly |
330 // incorrect. Keep compatiability. | |
331 | |
332 octave_value retval; | |
333 | |
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334 octave_idx_type nz = a.nnz (); |
5164 | 335 |
336 if (b <= 0.0) | |
337 { | |
5275 | 338 octave_idx_type nr = a.rows (); |
339 octave_idx_type nc = a.cols (); | |
5164 | 340 |
341 if (static_cast<int> (b) != b && a.any_element_is_negative ()) | |
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342 { |
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343 ComplexMatrix result (nr, nc, Complex (std::pow (0.0, b))); |
5164 | 344 |
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345 // FIXME -- avoid apparent GNU libm bug by |
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346 // converting A and B to complex instead of just A. |
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347 Complex btmp (b); |
5164 | 348 |
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349 for (octave_idx_type j = 0; j < nc; j++) |
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350 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
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351 { |
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352 octave_quit (); |
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353 |
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354 Complex atmp (a.data (i)); |
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355 |
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356 result(a.ridx (i), j) = std::pow (atmp, btmp); |
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357 } |
5164 | 358 |
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359 retval = octave_value (result); |
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360 } |
5164 | 361 else |
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362 { |
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363 Matrix result (nr, nc, (std::pow (0.0, b))); |
5164 | 364 |
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365 for (octave_idx_type j = 0; j < nc; j++) |
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366 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
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367 { |
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368 octave_quit (); |
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369 result(a.ridx (i), j) = std::pow (a.data (i), b); |
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370 } |
5164 | 371 |
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372 retval = octave_value (result); |
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373 } |
5164 | 374 } |
375 else if (static_cast<int> (b) != b && a.any_element_is_negative ()) | |
376 { | |
377 SparseComplexMatrix result (a); | |
378 | |
5275 | 379 for (octave_idx_type i = 0; i < nz; i++) |
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380 { |
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381 octave_quit (); |
5164 | 382 |
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383 // FIXME -- avoid apparent GNU libm bug by |
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384 // converting A and B to complex instead of just A. |
5164 | 385 |
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386 Complex atmp (a.data (i)); |
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387 Complex btmp (b); |
5164 | 388 |
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389 result.data (i) = std::pow (atmp, btmp); |
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390 } |
5164 | 391 |
392 result.maybe_compress (true); | |
393 | |
394 retval = result; | |
395 } | |
396 else | |
397 { | |
398 SparseMatrix result (a); | |
399 | |
5275 | 400 for (octave_idx_type i = 0; i < nz; i++) |
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401 { |
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402 octave_quit (); |
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403 result.data (i) = std::pow (a.data (i), b); |
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404 } |
5164 | 405 |
406 result.maybe_compress (true); | |
407 | |
408 retval = result; | |
409 } | |
410 | |
411 return retval; | |
412 } | |
413 | |
414 // -*- 4 -*- | |
415 octave_value | |
416 elem_xpow (const SparseMatrix& a, const SparseMatrix& b) | |
417 { | |
418 octave_value retval; | |
419 | |
5275 | 420 octave_idx_type nr = a.rows (); |
421 octave_idx_type nc = a.cols (); | |
5164 | 422 |
5275 | 423 octave_idx_type b_nr = b.rows (); |
424 octave_idx_type b_nc = b.cols (); | |
5164 | 425 |
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426 if (a.numel () == 1 && b.numel () > 1) |
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427 return scalar_xpow (a(0), b); |
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428 |
5164 | 429 if (nr != b_nr || nc != b_nc) |
430 { | |
431 gripe_nonconformant ("operator .^", nr, nc, b_nr, b_nc); | |
432 return octave_value (); | |
433 } | |
434 | |
435 int convert_to_complex = 0; | |
5275 | 436 for (octave_idx_type j = 0; j < nc; j++) |
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437 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
5164 | 438 { |
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439 if (a.data(i) < 0.0) |
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440 { |
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441 double btmp = b (a.ridx (i), j); |
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442 if (static_cast<int> (btmp) != btmp) |
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443 { |
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444 convert_to_complex = 1; |
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445 goto done; |
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446 } |
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447 } |
5164 | 448 } |
449 | |
450 done: | |
451 | |
5953 | 452 // This is a dumb operator for sparse matrices anyway, and there is |
453 // no sensible way to handle the 0.^0 versus the 0.^x cases. Therefore | |
454 // allocate a full matrix filled for the 0.^0 case and shrink it later | |
455 // as needed | |
5164 | 456 |
457 if (convert_to_complex) | |
458 { | |
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459 SparseComplexMatrix complex_result (nr, nc, Complex (1.0, 0.0)); |
5164 | 460 |
5275 | 461 for (octave_idx_type j = 0; j < nc; j++) |
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462 { |
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463 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
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464 { |
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465 octave_quit (); |
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466 complex_result.xelem (a.ridx (i), j) = |
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467 std::pow (Complex (a.data (i)), Complex (b(a.ridx (i), j))); |
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468 } |
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469 } |
5953 | 470 complex_result.maybe_compress (true); |
5164 | 471 retval = complex_result; |
472 } | |
473 else | |
474 { | |
5953 | 475 SparseMatrix result (nr, nc, 1.0); |
5164 | 476 |
5275 | 477 for (octave_idx_type j = 0; j < nc; j++) |
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478 { |
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479 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
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480 { |
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481 octave_quit (); |
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482 result.xelem (a.ridx (i), j) = std::pow (a.data (i), |
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483 b(a.ridx (i), j)); |
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484 } |
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485 } |
5953 | 486 result.maybe_compress (true); |
5164 | 487 retval = result; |
488 } | |
489 | |
490 return retval; | |
491 } | |
492 | |
493 // -*- 5 -*- | |
494 octave_value | |
495 elem_xpow (const SparseMatrix& a, const Complex& b) | |
496 { | |
497 octave_value retval; | |
498 | |
499 if (b == 0.0) | |
500 // Can this case ever happen, due to automatic retyping with maybe_mutate? | |
501 retval = octave_value (NDArray (a.dims (), 1)); | |
502 else | |
503 { | |
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504 octave_idx_type nz = a.nnz (); |
5164 | 505 SparseComplexMatrix result (a); |
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506 |
5275 | 507 for (octave_idx_type i = 0; i < nz; i++) |
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508 { |
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509 octave_quit (); |
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510 result.data (i) = std::pow (Complex (a.data (i)), b); |
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511 } |
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512 |
5164 | 513 result.maybe_compress (true); |
514 | |
515 retval = result; | |
516 } | |
517 | |
518 return retval; | |
519 } | |
520 | |
521 // -*- 6 -*- | |
522 octave_value | |
523 elem_xpow (const SparseMatrix& a, const SparseComplexMatrix& b) | |
524 { | |
5275 | 525 octave_idx_type nr = a.rows (); |
526 octave_idx_type nc = a.cols (); | |
5164 | 527 |
5275 | 528 octave_idx_type b_nr = b.rows (); |
529 octave_idx_type b_nc = b.cols (); | |
5164 | 530 |
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531 if (a.numel () == 1 && b.numel () > 1) |
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532 return scalar_xpow (a(0), b); |
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533 |
5164 | 534 if (nr != b_nr || nc != b_nc) |
535 { | |
536 gripe_nonconformant ("operator .^", nr, nc, b_nr, b_nc); | |
537 return octave_value (); | |
538 } | |
539 | |
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540 SparseComplexMatrix result (nr, nc, Complex (1.0, 0.0)); |
5275 | 541 for (octave_idx_type j = 0; j < nc; j++) |
5164 | 542 { |
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543 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
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544 { |
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545 octave_quit (); |
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546 result.xelem (a.ridx(i), j) = std::pow (a.data (i), b(a.ridx (i), j)); |
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547 } |
5164 | 548 } |
549 | |
5953 | 550 result.maybe_compress (true); |
5164 | 551 |
552 return result; | |
553 } | |
554 | |
555 // -*- 7 -*- | |
556 octave_value | |
557 elem_xpow (const Complex& a, const SparseMatrix& b) | |
558 { | |
5275 | 559 octave_idx_type nr = b.rows (); |
560 octave_idx_type nc = b.cols (); | |
5164 | 561 |
562 ComplexMatrix result (nr, nc); | |
563 | |
5275 | 564 for (octave_idx_type j = 0; j < nc; j++) |
5164 | 565 { |
5275 | 566 for (octave_idx_type i = 0; i < nr; i++) |
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567 { |
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568 octave_quit (); |
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569 double btmp = b (i, j); |
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570 if (xisint (btmp)) |
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571 result (i, j) = std::pow (a, static_cast<int> (btmp)); |
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572 else |
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573 result (i, j) = std::pow (a, btmp); |
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574 } |
5164 | 575 } |
576 | |
577 return result; | |
578 } | |
579 | |
580 // -*- 8 -*- | |
581 octave_value | |
582 elem_xpow (const Complex& a, const SparseComplexMatrix& b) | |
583 { | |
5275 | 584 octave_idx_type nr = b.rows (); |
585 octave_idx_type nc = b.cols (); | |
5164 | 586 |
587 ComplexMatrix result (nr, nc); | |
5275 | 588 for (octave_idx_type j = 0; j < nc; j++) |
589 for (octave_idx_type i = 0; i < nr; i++) | |
5164 | 590 { |
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591 octave_quit (); |
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592 result (i, j) = std::pow (a, b (i, j)); |
5164 | 593 } |
594 | |
595 return result; | |
596 } | |
597 | |
598 // -*- 9 -*- | |
599 octave_value | |
600 elem_xpow (const SparseComplexMatrix& a, double b) | |
601 { | |
602 octave_value retval; | |
603 | |
604 if (b <= 0) | |
605 { | |
5275 | 606 octave_idx_type nr = a.rows (); |
607 octave_idx_type nc = a.cols (); | |
5164 | 608 |
5953 | 609 ComplexMatrix result (nr, nc, Complex (std::pow (0.0, b))); |
5164 | 610 |
611 if (xisint (b)) | |
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612 { |
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613 for (octave_idx_type j = 0; j < nc; j++) |
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614 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
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615 { |
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616 octave_quit (); |
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617 result (a.ridx (i), j) = |
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618 std::pow (a.data (i), static_cast<int> (b)); |
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619 } |
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620 } |
5164 | 621 else |
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622 { |
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623 for (octave_idx_type j = 0; j < nc; j++) |
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624 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
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625 { |
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626 octave_quit (); |
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627 result (a.ridx (i), j) = std::pow (a.data (i), b); |
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628 } |
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629 } |
5164 | 630 |
631 retval = result; | |
632 } | |
633 else | |
634 { | |
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635 octave_idx_type nz = a.nnz (); |
5164 | 636 |
637 SparseComplexMatrix result (a); | |
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638 |
5164 | 639 if (xisint (b)) |
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640 { |
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641 for (octave_idx_type i = 0; i < nz; i++) |
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642 { |
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643 octave_quit (); |
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644 result.data (i) = std::pow (a.data (i), static_cast<int> (b)); |
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645 } |
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646 } |
5164 | 647 else |
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648 { |
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649 for (octave_idx_type i = 0; i < nz; i++) |
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650 { |
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651 octave_quit (); |
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652 result.data (i) = std::pow (a.data (i), b); |
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653 } |
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654 } |
5164 | 655 |
656 result.maybe_compress (true); | |
657 | |
658 retval = result; | |
659 } | |
660 | |
661 return retval; | |
662 } | |
663 | |
664 // -*- 10 -*- | |
665 octave_value | |
666 elem_xpow (const SparseComplexMatrix& a, const SparseMatrix& b) | |
667 { | |
5275 | 668 octave_idx_type nr = a.rows (); |
669 octave_idx_type nc = a.cols (); | |
5164 | 670 |
5275 | 671 octave_idx_type b_nr = b.rows (); |
672 octave_idx_type b_nc = b.cols (); | |
5164 | 673 |
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674 if (a.numel () == 1 && b.numel () > 1) |
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675 return scalar_xpow (a(0), b); |
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676 |
5164 | 677 if (nr != b_nr || nc != b_nc) |
678 { | |
679 gripe_nonconformant ("operator .^", nr, nc, b_nr, b_nc); | |
680 return octave_value (); | |
681 } | |
682 | |
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683 SparseComplexMatrix result (nr, nc, Complex (1.0, 0.0)); |
5275 | 684 for (octave_idx_type j = 0; j < nc; j++) |
5164 | 685 { |
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686 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
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687 { |
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688 octave_quit (); |
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689 double btmp = b(a.ridx (i), j); |
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690 Complex tmp; |
5164 | 691 |
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692 if (xisint (btmp)) |
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693 result.xelem (a.ridx (i), j) = std::pow (a.data (i), |
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694 static_cast<int> (btmp)); |
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695 else |
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696 result.xelem (a.ridx (i), j) = std::pow (a.data (i), btmp); |
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697 } |
5164 | 698 } |
699 | |
5953 | 700 result.maybe_compress (true); |
5164 | 701 |
702 return result; | |
703 } | |
704 | |
705 // -*- 11 -*- | |
706 octave_value | |
707 elem_xpow (const SparseComplexMatrix& a, const Complex& b) | |
708 { | |
709 octave_value retval; | |
710 | |
711 if (b == 0.0) | |
712 // Can this case ever happen, due to automatic retyping with maybe_mutate? | |
713 retval = octave_value (NDArray (a.dims (), 1)); | |
714 else | |
715 { | |
716 | |
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717 octave_idx_type nz = a.nnz (); |
5164 | 718 |
719 SparseComplexMatrix result (a); | |
720 | |
5275 | 721 for (octave_idx_type i = 0; i < nz; i++) |
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722 { |
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723 octave_quit (); |
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724 result.data (i) = std::pow (a.data (i), b); |
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725 } |
5164 | 726 |
727 result.maybe_compress (true); | |
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728 |
5164 | 729 retval = result; |
730 } | |
731 | |
732 return retval; | |
733 } | |
734 | |
735 // -*- 12 -*- | |
736 octave_value | |
737 elem_xpow (const SparseComplexMatrix& a, const SparseComplexMatrix& b) | |
738 { | |
5275 | 739 octave_idx_type nr = a.rows (); |
740 octave_idx_type nc = a.cols (); | |
5164 | 741 |
5275 | 742 octave_idx_type b_nr = b.rows (); |
743 octave_idx_type b_nc = b.cols (); | |
5164 | 744 |
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745 if (a.numel () == 1 && b.numel () > 1) |
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746 return scalar_xpow (a(0), b); |
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747 |
5164 | 748 if (nr != b_nr || nc != b_nc) |
749 { | |
750 gripe_nonconformant ("operator .^", nr, nc, b_nr, b_nc); | |
751 return octave_value (); | |
752 } | |
753 | |
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754 SparseComplexMatrix result (nr, nc, Complex (1.0, 0.0)); |
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755 for (octave_idx_type j = 0; j < nc; j++) |
5164 | 756 { |
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757 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) |
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758 { |
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759 octave_quit (); |
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760 result.xelem (a.ridx (i), j) = std::pow (a.data (i), b(a.ridx (i), j)); |
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761 } |
5164 | 762 } |
763 result.maybe_compress (true); | |
764 | |
765 return result; | |
766 } |