lemon-project-template-glpk
comparison deps/glpk/src/glpapi02.c @ 11:4fc6ad2fb8a6
Test GLPK in src/main.cc
author | Alpar Juttner <alpar@cs.elte.hu> |
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date | Sun, 06 Nov 2011 21:43:29 +0100 |
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1 /* glpapi02.c (problem retrieving routines) */ | |
2 | |
3 /*********************************************************************** | |
4 * This code is part of GLPK (GNU Linear Programming Kit). | |
5 * | |
6 * Copyright (C) 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, | |
7 * 2009, 2010, 2011 Andrew Makhorin, Department for Applied Informatics, | |
8 * Moscow Aviation Institute, Moscow, Russia. All rights reserved. | |
9 * E-mail: <mao@gnu.org>. | |
10 * | |
11 * GLPK is free software: you can redistribute it and/or modify it | |
12 * under the terms of the GNU General Public License as published by | |
13 * the Free Software Foundation, either version 3 of the License, or | |
14 * (at your option) any later version. | |
15 * | |
16 * GLPK is distributed in the hope that it will be useful, but WITHOUT | |
17 * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY | |
18 * or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public | |
19 * License for more details. | |
20 * | |
21 * You should have received a copy of the GNU General Public License | |
22 * along with GLPK. If not, see <http://www.gnu.org/licenses/>. | |
23 ***********************************************************************/ | |
24 | |
25 #include "glpapi.h" | |
26 | |
27 /*********************************************************************** | |
28 * NAME | |
29 * | |
30 * glp_get_prob_name - retrieve problem name | |
31 * | |
32 * SYNOPSIS | |
33 * | |
34 * const char *glp_get_prob_name(glp_prob *lp); | |
35 * | |
36 * RETURNS | |
37 * | |
38 * The routine glp_get_prob_name returns a pointer to an internal | |
39 * buffer, which contains symbolic name of the problem. However, if the | |
40 * problem has no assigned name, the routine returns NULL. */ | |
41 | |
42 const char *glp_get_prob_name(glp_prob *lp) | |
43 { char *name; | |
44 name = lp->name; | |
45 return name; | |
46 } | |
47 | |
48 /*********************************************************************** | |
49 * NAME | |
50 * | |
51 * glp_get_obj_name - retrieve objective function name | |
52 * | |
53 * SYNOPSIS | |
54 * | |
55 * const char *glp_get_obj_name(glp_prob *lp); | |
56 * | |
57 * RETURNS | |
58 * | |
59 * The routine glp_get_obj_name returns a pointer to an internal | |
60 * buffer, which contains a symbolic name of the objective function. | |
61 * However, if the objective function has no assigned name, the routine | |
62 * returns NULL. */ | |
63 | |
64 const char *glp_get_obj_name(glp_prob *lp) | |
65 { char *name; | |
66 name = lp->obj; | |
67 return name; | |
68 } | |
69 | |
70 /*********************************************************************** | |
71 * NAME | |
72 * | |
73 * glp_get_obj_dir - retrieve optimization direction flag | |
74 * | |
75 * SYNOPSIS | |
76 * | |
77 * int glp_get_obj_dir(glp_prob *lp); | |
78 * | |
79 * RETURNS | |
80 * | |
81 * The routine glp_get_obj_dir returns the optimization direction flag | |
82 * (i.e. "sense" of the objective function): | |
83 * | |
84 * GLP_MIN - minimization; | |
85 * GLP_MAX - maximization. */ | |
86 | |
87 int glp_get_obj_dir(glp_prob *lp) | |
88 { int dir = lp->dir; | |
89 return dir; | |
90 } | |
91 | |
92 /*********************************************************************** | |
93 * NAME | |
94 * | |
95 * glp_get_num_rows - retrieve number of rows | |
96 * | |
97 * SYNOPSIS | |
98 * | |
99 * int glp_get_num_rows(glp_prob *lp); | |
100 * | |
101 * RETURNS | |
102 * | |
103 * The routine glp_get_num_rows returns the current number of rows in | |
104 * the specified problem object. */ | |
105 | |
106 int glp_get_num_rows(glp_prob *lp) | |
107 { int m = lp->m; | |
108 return m; | |
109 } | |
110 | |
111 /*********************************************************************** | |
112 * NAME | |
113 * | |
114 * glp_get_num_cols - retrieve number of columns | |
115 * | |
116 * SYNOPSIS | |
117 * | |
118 * int glp_get_num_cols(glp_prob *lp); | |
119 * | |
120 * RETURNS | |
121 * | |
122 * The routine glp_get_num_cols returns the current number of columns | |
123 * in the specified problem object. */ | |
124 | |
125 int glp_get_num_cols(glp_prob *lp) | |
126 { int n = lp->n; | |
127 return n; | |
128 } | |
129 | |
130 /*********************************************************************** | |
131 * NAME | |
132 * | |
133 * glp_get_row_name - retrieve row name | |
134 * | |
135 * SYNOPSIS | |
136 * | |
137 * const char *glp_get_row_name(glp_prob *lp, int i); | |
138 * | |
139 * RETURNS | |
140 * | |
141 * The routine glp_get_row_name returns a pointer to an internal | |
142 * buffer, which contains symbolic name of i-th row. However, if i-th | |
143 * row has no assigned name, the routine returns NULL. */ | |
144 | |
145 const char *glp_get_row_name(glp_prob *lp, int i) | |
146 { char *name; | |
147 if (!(1 <= i && i <= lp->m)) | |
148 xerror("glp_get_row_name: i = %d; row number out of range\n", | |
149 i); | |
150 name = lp->row[i]->name; | |
151 return name; | |
152 } | |
153 | |
154 /*********************************************************************** | |
155 * NAME | |
156 * | |
157 * glp_get_col_name - retrieve column name | |
158 * | |
159 * SYNOPSIS | |
160 * | |
161 * const char *glp_get_col_name(glp_prob *lp, int j); | |
162 * | |
163 * RETURNS | |
164 * | |
165 * The routine glp_get_col_name returns a pointer to an internal | |
166 * buffer, which contains symbolic name of j-th column. However, if j-th | |
167 * column has no assigned name, the routine returns NULL. */ | |
168 | |
169 const char *glp_get_col_name(glp_prob *lp, int j) | |
170 { char *name; | |
171 if (!(1 <= j && j <= lp->n)) | |
172 xerror("glp_get_col_name: j = %d; column number out of range\n" | |
173 , j); | |
174 name = lp->col[j]->name; | |
175 return name; | |
176 } | |
177 | |
178 /*********************************************************************** | |
179 * NAME | |
180 * | |
181 * glp_get_row_type - retrieve row type | |
182 * | |
183 * SYNOPSIS | |
184 * | |
185 * int glp_get_row_type(glp_prob *lp, int i); | |
186 * | |
187 * RETURNS | |
188 * | |
189 * The routine glp_get_row_type returns the type of i-th row, i.e. the | |
190 * type of corresponding auxiliary variable, as follows: | |
191 * | |
192 * GLP_FR - free (unbounded) variable; | |
193 * GLP_LO - variable with lower bound; | |
194 * GLP_UP - variable with upper bound; | |
195 * GLP_DB - double-bounded variable; | |
196 * GLP_FX - fixed variable. */ | |
197 | |
198 int glp_get_row_type(glp_prob *lp, int i) | |
199 { if (!(1 <= i && i <= lp->m)) | |
200 xerror("glp_get_row_type: i = %d; row number out of range\n", | |
201 i); | |
202 return lp->row[i]->type; | |
203 } | |
204 | |
205 /*********************************************************************** | |
206 * NAME | |
207 * | |
208 * glp_get_row_lb - retrieve row lower bound | |
209 * | |
210 * SYNOPSIS | |
211 * | |
212 * double glp_get_row_lb(glp_prob *lp, int i); | |
213 * | |
214 * RETURNS | |
215 * | |
216 * The routine glp_get_row_lb returns the lower bound of i-th row, i.e. | |
217 * the lower bound of corresponding auxiliary variable. However, if the | |
218 * row has no lower bound, the routine returns -DBL_MAX. */ | |
219 | |
220 double glp_get_row_lb(glp_prob *lp, int i) | |
221 { double lb; | |
222 if (!(1 <= i && i <= lp->m)) | |
223 xerror("glp_get_row_lb: i = %d; row number out of range\n", i); | |
224 switch (lp->row[i]->type) | |
225 { case GLP_FR: | |
226 case GLP_UP: | |
227 lb = -DBL_MAX; break; | |
228 case GLP_LO: | |
229 case GLP_DB: | |
230 case GLP_FX: | |
231 lb = lp->row[i]->lb; break; | |
232 default: | |
233 xassert(lp != lp); | |
234 } | |
235 return lb; | |
236 } | |
237 | |
238 /*********************************************************************** | |
239 * NAME | |
240 * | |
241 * glp_get_row_ub - retrieve row upper bound | |
242 * | |
243 * SYNOPSIS | |
244 * | |
245 * double glp_get_row_ub(glp_prob *lp, int i); | |
246 * | |
247 * RETURNS | |
248 * | |
249 * The routine glp_get_row_ub returns the upper bound of i-th row, i.e. | |
250 * the upper bound of corresponding auxiliary variable. However, if the | |
251 * row has no upper bound, the routine returns +DBL_MAX. */ | |
252 | |
253 double glp_get_row_ub(glp_prob *lp, int i) | |
254 { double ub; | |
255 if (!(1 <= i && i <= lp->m)) | |
256 xerror("glp_get_row_ub: i = %d; row number out of range\n", i); | |
257 switch (lp->row[i]->type) | |
258 { case GLP_FR: | |
259 case GLP_LO: | |
260 ub = +DBL_MAX; break; | |
261 case GLP_UP: | |
262 case GLP_DB: | |
263 case GLP_FX: | |
264 ub = lp->row[i]->ub; break; | |
265 default: | |
266 xassert(lp != lp); | |
267 } | |
268 return ub; | |
269 } | |
270 | |
271 /*********************************************************************** | |
272 * NAME | |
273 * | |
274 * glp_get_col_type - retrieve column type | |
275 * | |
276 * SYNOPSIS | |
277 * | |
278 * int glp_get_col_type(glp_prob *lp, int j); | |
279 * | |
280 * RETURNS | |
281 * | |
282 * The routine glp_get_col_type returns the type of j-th column, i.e. | |
283 * the type of corresponding structural variable, as follows: | |
284 * | |
285 * GLP_FR - free (unbounded) variable; | |
286 * GLP_LO - variable with lower bound; | |
287 * GLP_UP - variable with upper bound; | |
288 * GLP_DB - double-bounded variable; | |
289 * GLP_FX - fixed variable. */ | |
290 | |
291 int glp_get_col_type(glp_prob *lp, int j) | |
292 { if (!(1 <= j && j <= lp->n)) | |
293 xerror("glp_get_col_type: j = %d; column number out of range\n" | |
294 , j); | |
295 return lp->col[j]->type; | |
296 } | |
297 | |
298 /*********************************************************************** | |
299 * NAME | |
300 * | |
301 * glp_get_col_lb - retrieve column lower bound | |
302 * | |
303 * SYNOPSIS | |
304 * | |
305 * double glp_get_col_lb(glp_prob *lp, int j); | |
306 * | |
307 * RETURNS | |
308 * | |
309 * The routine glp_get_col_lb returns the lower bound of j-th column, | |
310 * i.e. the lower bound of corresponding structural variable. However, | |
311 * if the column has no lower bound, the routine returns -DBL_MAX. */ | |
312 | |
313 double glp_get_col_lb(glp_prob *lp, int j) | |
314 { double lb; | |
315 if (!(1 <= j && j <= lp->n)) | |
316 xerror("glp_get_col_lb: j = %d; column number out of range\n", | |
317 j); | |
318 switch (lp->col[j]->type) | |
319 { case GLP_FR: | |
320 case GLP_UP: | |
321 lb = -DBL_MAX; break; | |
322 case GLP_LO: | |
323 case GLP_DB: | |
324 case GLP_FX: | |
325 lb = lp->col[j]->lb; break; | |
326 default: | |
327 xassert(lp != lp); | |
328 } | |
329 return lb; | |
330 } | |
331 | |
332 /*********************************************************************** | |
333 * NAME | |
334 * | |
335 * glp_get_col_ub - retrieve column upper bound | |
336 * | |
337 * SYNOPSIS | |
338 * | |
339 * double glp_get_col_ub(glp_prob *lp, int j); | |
340 * | |
341 * RETURNS | |
342 * | |
343 * The routine glp_get_col_ub returns the upper bound of j-th column, | |
344 * i.e. the upper bound of corresponding structural variable. However, | |
345 * if the column has no upper bound, the routine returns +DBL_MAX. */ | |
346 | |
347 double glp_get_col_ub(glp_prob *lp, int j) | |
348 { double ub; | |
349 if (!(1 <= j && j <= lp->n)) | |
350 xerror("glp_get_col_ub: j = %d; column number out of range\n", | |
351 j); | |
352 switch (lp->col[j]->type) | |
353 { case GLP_FR: | |
354 case GLP_LO: | |
355 ub = +DBL_MAX; break; | |
356 case GLP_UP: | |
357 case GLP_DB: | |
358 case GLP_FX: | |
359 ub = lp->col[j]->ub; break; | |
360 default: | |
361 xassert(lp != lp); | |
362 } | |
363 return ub; | |
364 } | |
365 | |
366 /*********************************************************************** | |
367 * NAME | |
368 * | |
369 * glp_get_obj_coef - retrieve obj. coefficient or constant term | |
370 * | |
371 * SYNOPSIS | |
372 * | |
373 * double glp_get_obj_coef(glp_prob *lp, int j); | |
374 * | |
375 * RETURNS | |
376 * | |
377 * The routine glp_get_obj_coef returns the objective coefficient at | |
378 * j-th structural variable (column) of the specified problem object. | |
379 * | |
380 * If the parameter j is zero, the routine returns the constant term | |
381 * ("shift") of the objective function. */ | |
382 | |
383 double glp_get_obj_coef(glp_prob *lp, int j) | |
384 { if (!(0 <= j && j <= lp->n)) | |
385 xerror("glp_get_obj_coef: j = %d; column number out of range\n" | |
386 , j); | |
387 return j == 0 ? lp->c0 : lp->col[j]->coef; | |
388 } | |
389 | |
390 /*********************************************************************** | |
391 * NAME | |
392 * | |
393 * glp_get_num_nz - retrieve number of constraint coefficients | |
394 * | |
395 * SYNOPSIS | |
396 * | |
397 * int glp_get_num_nz(glp_prob *lp); | |
398 * | |
399 * RETURNS | |
400 * | |
401 * The routine glp_get_num_nz returns the number of (non-zero) elements | |
402 * in the constraint matrix of the specified problem object. */ | |
403 | |
404 int glp_get_num_nz(glp_prob *lp) | |
405 { int nnz = lp->nnz; | |
406 return nnz; | |
407 } | |
408 | |
409 /*********************************************************************** | |
410 * NAME | |
411 * | |
412 * glp_get_mat_row - retrieve row of the constraint matrix | |
413 * | |
414 * SYNOPSIS | |
415 * | |
416 * int glp_get_mat_row(glp_prob *lp, int i, int ind[], double val[]); | |
417 * | |
418 * DESCRIPTION | |
419 * | |
420 * The routine glp_get_mat_row scans (non-zero) elements of i-th row | |
421 * of the constraint matrix of the specified problem object and stores | |
422 * their column indices and numeric values to locations ind[1], ..., | |
423 * ind[len] and val[1], ..., val[len], respectively, where 0 <= len <= n | |
424 * is the number of elements in i-th row, n is the number of columns. | |
425 * | |
426 * The parameter ind and/or val can be specified as NULL, in which case | |
427 * corresponding information is not stored. | |
428 * | |
429 * RETURNS | |
430 * | |
431 * The routine glp_get_mat_row returns the length len, i.e. the number | |
432 * of (non-zero) elements in i-th row. */ | |
433 | |
434 int glp_get_mat_row(glp_prob *lp, int i, int ind[], double val[]) | |
435 { GLPAIJ *aij; | |
436 int len; | |
437 if (!(1 <= i && i <= lp->m)) | |
438 xerror("glp_get_mat_row: i = %d; row number out of range\n", | |
439 i); | |
440 len = 0; | |
441 for (aij = lp->row[i]->ptr; aij != NULL; aij = aij->r_next) | |
442 { len++; | |
443 if (ind != NULL) ind[len] = aij->col->j; | |
444 if (val != NULL) val[len] = aij->val; | |
445 } | |
446 xassert(len <= lp->n); | |
447 return len; | |
448 } | |
449 | |
450 /*********************************************************************** | |
451 * NAME | |
452 * | |
453 * glp_get_mat_col - retrieve column of the constraint matrix | |
454 * | |
455 * SYNOPSIS | |
456 * | |
457 * int glp_get_mat_col(glp_prob *lp, int j, int ind[], double val[]); | |
458 * | |
459 * DESCRIPTION | |
460 * | |
461 * The routine glp_get_mat_col scans (non-zero) elements of j-th column | |
462 * of the constraint matrix of the specified problem object and stores | |
463 * their row indices and numeric values to locations ind[1], ..., | |
464 * ind[len] and val[1], ..., val[len], respectively, where 0 <= len <= m | |
465 * is the number of elements in j-th column, m is the number of rows. | |
466 * | |
467 * The parameter ind or/and val can be specified as NULL, in which case | |
468 * corresponding information is not stored. | |
469 * | |
470 * RETURNS | |
471 * | |
472 * The routine glp_get_mat_col returns the length len, i.e. the number | |
473 * of (non-zero) elements in j-th column. */ | |
474 | |
475 int glp_get_mat_col(glp_prob *lp, int j, int ind[], double val[]) | |
476 { GLPAIJ *aij; | |
477 int len; | |
478 if (!(1 <= j && j <= lp->n)) | |
479 xerror("glp_get_mat_col: j = %d; column number out of range\n", | |
480 j); | |
481 len = 0; | |
482 for (aij = lp->col[j]->ptr; aij != NULL; aij = aij->c_next) | |
483 { len++; | |
484 if (ind != NULL) ind[len] = aij->row->i; | |
485 if (val != NULL) val[len] = aij->val; | |
486 } | |
487 xassert(len <= lp->m); | |
488 return len; | |
489 } | |
490 | |
491 /* eof */ |