Scippy

SCIP

Solving Constraint Integer Programs

scip_nlp.c
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1 /* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
2 /* */
3 /* This file is part of the program and library */
4 /* SCIP --- Solving Constraint Integer Programs */
5 /* */
6 /* Copyright (C) 2002-2020 Konrad-Zuse-Zentrum */
7 /* fuer Informationstechnik Berlin */
8 /* */
9 /* SCIP is distributed under the terms of the ZIB Academic License. */
10 /* */
11 /* You should have received a copy of the ZIB Academic License */
12 /* along with SCIP; see the file COPYING. If not visit scipopt.org. */
13 /* */
14 /* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
15 
16 /**@file scip_nlp.c
17  * @ingroup OTHER_CFILES
18  * @brief public methods for nonlinear relaxations
19  * @author Tobias Achterberg
20  * @author Timo Berthold
21  * @author Gerald Gamrath
22  * @author Leona Gottwald
23  * @author Stefan Heinz
24  * @author Gregor Hendel
25  * @author Thorsten Koch
26  * @author Alexander Martin
27  * @author Marc Pfetsch
28  * @author Michael Winkler
29  * @author Kati Wolter
30  *
31  * @todo check all SCIP_STAGE_* switches, and include the new stages TRANSFORMED and INITSOLVE
32  */
33 
34 /*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
35 
36 #include "blockmemshell/memory.h"
37 #include "nlpi/nlpi.h"
38 #include "scip/debug.h"
39 #include "scip/nlp.h"
40 #include "scip/pub_message.h"
41 #include "scip/pub_misc.h"
42 #include "scip/pub_nlp.h"
43 #include "scip/pub_paramset.h"
44 #include "scip/scip_mem.h"
45 #include "scip/scip_nlp.h"
46 #include "scip/scip_param.h"
47 #include "scip/scip_sol.h"
48 #include "scip/set.h"
49 #include "scip/struct_mem.h"
50 #include "scip/struct_prob.h"
51 #include "scip/struct_scip.h"
52 #include "scip/struct_set.h"
53 #include "scip/struct_var.h"
54 
55 /** method to call, when the priority of an NLPI was changed */
56 static
57 SCIP_DECL_PARAMCHGD(paramChgdNlpiPriority)
58 { /*lint --e{715}*/
59  SCIP_PARAMDATA* paramdata;
60 
61  paramdata = SCIPparamGetData(param);
62  assert(paramdata != NULL);
63 
64  /* use SCIPsetSetPriorityNlpi() to mark the nlpis unsorted */
66 
67  return SCIP_OKAY;
68 }
69 /** includes an NLPI in SCIP */
71  SCIP* scip, /**< SCIP data structure */
72  SCIP_NLPI* nlpi /**< NLPI data structure */
73  )
74 {
76  char paramdesc[SCIP_MAXSTRLEN];
77 
78  assert(scip != NULL);
79  assert(nlpi != NULL);
80 
81  SCIP_CALL( SCIPcheckStage(scip, "SCIPincludeNlpi", TRUE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
82 
83  /* check whether NLPI is already present */
84  if( SCIPfindNlpi(scip, SCIPnlpiGetName(nlpi)) != NULL )
85  {
86  SCIPerrorMessage("NLPI <%s> already included.\n", SCIPnlpiGetName(nlpi));
87  return SCIP_INVALIDDATA;
88  }
89 
90  SCIP_CALL( SCIPsetIncludeNlpi(scip->set, nlpi) );
91 
92  /* add parameters */
93  (void) SCIPsnprintf(paramname, SCIP_MAXSTRLEN, "nlpi/%s/priority", SCIPnlpiGetName(nlpi));
94  (void) SCIPsnprintf(paramdesc, SCIP_MAXSTRLEN, "priority of NLPI <%s>", SCIPnlpiGetName(nlpi));
95  SCIP_CALL( SCIPaddIntParam(scip, paramname, paramdesc,
96  NULL, FALSE, SCIPnlpiGetPriority(nlpi), INT_MIN/4, INT_MAX/4,
97  paramChgdNlpiPriority, (SCIP_PARAMDATA*)nlpi) ); /*lint !e740*/
98 
99  /* pass message handler (may be NULL) */
101 
102  return SCIP_OKAY;
103 }
104 
105 /** returns the NLPI of the given name, or NULL if not existing */
107  SCIP* scip, /**< SCIP data structure */
108  const char* name /**< name of NLPI */
109  )
110 {
111  assert(scip != NULL);
112  assert(scip->set != NULL);
113  assert(name != NULL);
114 
115  return SCIPsetFindNlpi(scip->set, name);
116 }
117 
118 /** returns the array of currently available NLPIs (sorted by priority) */
120  SCIP* scip /**< SCIP data structure */
121  )
122 {
123  assert(scip != NULL);
124  assert(scip->set != NULL);
125 
126  SCIPsetSortNlpis(scip->set);
127 
128  return scip->set->nlpis;
129 }
130 
131 /** returns the number of currently available NLPIs */
133  SCIP* scip /**< SCIP data structure */
134  )
135 {
136  assert(scip != NULL);
137  assert(scip->set != NULL);
138 
139  return scip->set->nnlpis;
140 }
141 
142 /** sets the priority of an NLPI */
144  SCIP* scip, /**< SCIP data structure */
145  SCIP_NLPI* nlpi, /**< NLPI */
146  int priority /**< new priority of the NLPI */
147  )
148 {
149  assert(scip != NULL);
150  assert(scip->set != NULL);
151 
152  SCIPsetSetPriorityNlpi(scip->set, nlpi, priority);
153 
154  return SCIP_OKAY;
155 }
156 
157 /** returns whether the NLP relaxation has been enabled
158  *
159  * If the NLP relaxation is enabled, then SCIP will construct the NLP relaxation when the solving process is about to begin.
160  * To check whether an NLP is existing, use SCIPisNLPConstructed().
161  *
162  * @pre This method can be called if SCIP is in one of the following stages:
163  * - \ref SCIP_STAGE_INITPRESOLVE
164  * - \ref SCIP_STAGE_PRESOLVING
165  * - \ref SCIP_STAGE_EXITPRESOLVE
166  * - \ref SCIP_STAGE_PRESOLVED
167  * - \ref SCIP_STAGE_INITSOLVE
168  * - \ref SCIP_STAGE_SOLVING
169  *
170  * @see SCIPenableNLP
171  */
173  SCIP* scip /**< SCIP data structure */
174  )
175 {
176  SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPisNLPEnabled", FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
177 
178  return scip->transprob->nlpenabled;
179 }
180 
181 /** marks that there are constraints that are representable by nonlinear rows
182  *
183  * This method should be called by a constraint handler if it has constraints that have a representation as nonlinear rows.
184  *
185  * The function should be called before the branch-and-bound process is initialized, e.g., when presolve is exiting.
186  *
187  * @pre This method can be called if SCIP is in one of the following stages:
188  * - \ref SCIP_STAGE_INITPRESOLVE
189  * - \ref SCIP_STAGE_PRESOLVING
190  * - \ref SCIP_STAGE_EXITPRESOLVE
191  * - \ref SCIP_STAGE_PRESOLVED
192  * - \ref SCIP_STAGE_INITSOLVE
193  * - \ref SCIP_STAGE_SOLVING
194  */
196  SCIP* scip /**< SCIP data structure */
197  )
198 {
199  SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPenableNLP", FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
200 
201  scip->transprob->nlpenabled = TRUE;
202 }
203 
204 /** returns, whether an NLP has been constructed
205  *
206  * @pre This method can be called if SCIP is in one of the following stages:
207  * - \ref SCIP_STAGE_INITSOLVE
208  * - \ref SCIP_STAGE_SOLVING
209  */
211  SCIP* scip /**< SCIP data structure */
212  )
213 {
214  SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPisNLPConstructed", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
215 
216  return (scip->nlp != NULL);
217 }
218 
219 /** returns whether the NLP has a continuous variable in a nonlinear term
220  *
221  * @pre This method can be called if SCIP is in one of the following stages:
222  * - \ref SCIP_STAGE_INITSOLVE
223  * - \ref SCIP_STAGE_SOLVING
224  */
226  SCIP* scip /**< SCIP data structure */
227  )
228 {
229  SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPhasNLPContinuousNonlinearity", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
230 
231  if( scip->nlp == NULL )
232  {
233  SCIPerrorMessage("NLP has not been not constructed.\n");
234  SCIPABORT();
235  return FALSE; /*lint !e527*/
236  }
237 
239 }
240 
241 /** gets current NLP variables along with the current number of NLP variables
242  *
243  * @pre This method can be called if SCIP is in one of the following stages:
244  * - \ref SCIP_STAGE_INITSOLVE
245  * - \ref SCIP_STAGE_SOLVING
246  */
248  SCIP* scip, /**< SCIP data structure */
249  SCIP_VAR*** vars, /**< pointer to store the array of NLP variables, or NULL */
250  int* nvars /**< pointer to store the number of NLP variables, or NULL */
251  )
252 {
253  SCIP_CALL( SCIPcheckStage(scip, "SCIPgetNLPVarsData", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
254 
255  if( scip->nlp != NULL )
256  {
257  if( vars != NULL )
258  *vars = SCIPnlpGetVars(scip->nlp);
259  if( nvars != NULL )
260  *nvars = SCIPnlpGetNVars(scip->nlp);
261  }
262  else
263  {
264  SCIPerrorMessage("NLP has not been constructed.\n");
265  return SCIP_INVALIDCALL;
266  }
267 
268  return SCIP_OKAY;
269 }
270 
271 /** gets array with variables of the NLP
272  *
273  * @pre This method can be called if SCIP is in one of the following stages:
274  * - \ref SCIP_STAGE_INITSOLVE
275  * - \ref SCIP_STAGE_SOLVING
276  */
278  SCIP* scip /**< SCIP data structure */
279  )
280 {
282 
283  if( scip->nlp == NULL )
284  {
285  SCIPerrorMessage("NLP has not been constructed.\n");
286  SCIPABORT();
287  return NULL; /*lint !e527*/
288  }
289 
290  return SCIPnlpGetVars(scip->nlp);
291 }
292 
293 /** gets current number of variables in NLP
294  *
295  * @pre This method can be called if SCIP is in one of the following stages:
296  * - \ref SCIP_STAGE_INITSOLVE
297  * - \ref SCIP_STAGE_SOLVING
298  */
300  SCIP* scip /**< SCIP data structure */
301  )
302 {
303  SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNNLPVars", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
304 
305  if( scip->nlp == NULL )
306  {
307  SCIPerrorMessage("NLP has not been constructed.\n");
308  SCIPABORT();
309  return 0; /*lint !e527*/
310  }
311 
312  return SCIPnlpGetNVars(scip->nlp);
313 }
314 
315 /** computes for each variables the number of NLP rows in which the variable appears in a nonlinear var
316  *
317  * @pre This method can be called if SCIP is in one of the following stages:
318  * - \ref SCIP_STAGE_INITSOLVE
319  * - \ref SCIP_STAGE_SOLVING
320  */
322  SCIP* scip, /**< SCIP data structure */
323  int* nlcount /**< an array of length at least SCIPnlpGetNVars() to store nonlinearity counts of variables */
324  )
325 {
326  SCIP_CALL( SCIPcheckStage(scip, "SCIPgetNLPVarsNonlinearity", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
327 
328  if( scip->nlp == NULL )
329  {
330  SCIPerrorMessage("NLP has not been constructed.\n");
331  return SCIP_INVALIDCALL;
332  }
333 
334  SCIP_CALL( SCIPnlpGetVarsNonlinearity(scip->nlp, nlcount) );
335 
336  return SCIP_OKAY;
337 }
338 
339 /** returns dual solution values associated with lower bounds of NLP variables
340  *
341  * @pre This method can be called if SCIP is in one of the following stages:
342  * - \ref SCIP_STAGE_INITSOLVE
343  * - \ref SCIP_STAGE_SOLVING
344  */
346  SCIP* scip /**< SCIP data structure */
347  )
348 {
349  SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNLPVarsLbDualsol", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
350 
351  if( scip->nlp == NULL )
352  {
353  SCIPerrorMessage("NLP has not been constructed.\n");
354  SCIPABORT();
355  return NULL; /*lint !e527*/
356  }
357 
358  return SCIPnlpGetVarsLbDualsol(scip->nlp);
359 }
360 
361 /** returns dual solution values associated with upper bounds of NLP variables
362  *
363  * @pre This method can be called if SCIP is in one of the following stages:
364  * - \ref SCIP_STAGE_INITSOLVE
365  * - \ref SCIP_STAGE_SOLVING
366  */
368  SCIP* scip /**< SCIP data structure */
369  )
370 {
371  SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNLPVarsUbDualsol", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
372 
373  if( scip->nlp == NULL )
374  {
375  SCIPerrorMessage("NLP has not been constructed.\n");
376  SCIPABORT();
377  return NULL; /*lint !e527*/
378  }
379 
380  return SCIPnlpGetVarsUbDualsol(scip->nlp);
381 }
382 
383 /** gets current NLP nonlinear rows along with the current number of NLP nonlinear rows
384  *
385  * @pre This method can be called if SCIP is in one of the following stages:
386  * - \ref SCIP_STAGE_INITSOLVE
387  * - \ref SCIP_STAGE_SOLVING
388  */
390  SCIP* scip, /**< SCIP data structure */
391  SCIP_NLROW*** nlrows, /**< pointer to store the array of NLP nonlinear rows, or NULL */
392  int* nnlrows /**< pointer to store the number of NLP nonlinear rows, or NULL */
393  )
394 {
395  SCIP_CALL( SCIPcheckStage(scip, "SCIPgetNLPNlRowsData", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
396 
397  if( scip->nlp == NULL )
398  {
399  SCIPerrorMessage("NLP has not been constructed.\n");
400  return SCIP_INVALIDCALL;
401  }
402 
403  if( nlrows != NULL )
404  *nlrows = SCIPnlpGetNlRows(scip->nlp);
405  if( nnlrows != NULL )
406  *nnlrows = SCIPnlpGetNNlRows(scip->nlp);
407 
408  return SCIP_OKAY;
409 }
410 
411 /** gets array with nonlinear rows of the NLP
412  *
413  * @pre This method can be called if SCIP is in one of the following stages:
414  * - \ref SCIP_STAGE_INITSOLVE
415  * - \ref SCIP_STAGE_SOLVING
416  */
418  SCIP* scip /**< SCIP data structure */
419  )
420 {
421  SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNLPNlRows", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
422 
423  if( scip->nlp == NULL )
424  {
425  SCIPerrorMessage("NLP has not been constructed.\n");
426  SCIPABORT();
427  return NULL; /*lint !e527*/
428  }
429 
430  return SCIPnlpGetNlRows(scip->nlp);
431 }
432 
433 /** gets current number of nonlinear rows in NLP
434  *
435  * @pre This method can be called if SCIP is in one of the following stages:
436  * - \ref SCIP_STAGE_INITSOLVE
437  * - \ref SCIP_STAGE_SOLVING
438  */
440  SCIP* scip /**< SCIP data structure */
441  )
442 {
443  SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNNLPNlRows", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
444 
445  if( scip->nlp == NULL )
446  {
447  SCIPerrorMessage("NLP has not been constructed.\n");
448  SCIPABORT();
449  return 0; /*lint !e527*/
450  }
451 
452  return SCIPnlpGetNNlRows(scip->nlp);
453 }
454 
455 /** adds a nonlinear row to the NLP. This row is captured by the NLP.
456  *
457  * @pre This method can be called if SCIP is in one of the following stages:
458  * - \ref SCIP_STAGE_INITSOLVE
459  * - \ref SCIP_STAGE_SOLVING
460  */
462  SCIP* scip, /**< SCIP data structure */
463  SCIP_NLROW* nlrow /**< nonlinear row to add to NLP */
464  )
465 {
466  SCIP_CALL( SCIPcheckStage(scip, "SCIPaddNlRow", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
467 
468  if( scip->nlp == NULL )
469  {
470  SCIPerrorMessage("NLP has not been constructed.\n");
471  return SCIP_INVALIDCALL;
472  }
473 
474  SCIP_CALL( SCIPnlpAddNlRow(scip->nlp, SCIPblkmem(scip), scip->set, scip->stat, nlrow) );
475 
476  return SCIP_OKAY;
477 }
478 
479 /** removes a nonlinear row from the NLP.
480  *
481  * @pre This method can be called if SCIP is in one of the following stages:
482  * - \ref SCIP_STAGE_INITSOLVE
483  * - \ref SCIP_STAGE_SOLVING
484  * - \ref SCIP_STAGE_SOLVED
485  * - \ref SCIP_STAGE_EXITSOLVE
486  */
488  SCIP* scip, /**< SCIP data structure */
489  SCIP_NLROW* nlrow /**< nonlinear row to add to NLP */
490  )
491 {
492  SCIP_CALL( SCIPcheckStage(scip, "SCIPdelNlRow", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
493 
494  if( scip->nlp == NULL )
495  {
496  SCIPerrorMessage("NLP has not been constructed.\n");
497  return SCIP_INVALIDCALL;
498  }
499 
500  SCIP_CALL( SCIPnlpDelNlRow(scip->nlp, SCIPblkmem(scip), scip->set, nlrow) );
501 
502  return SCIP_OKAY;
503 }
504 
505 /** makes sure that the NLP of the current node is flushed
506  *
507  * @pre This method can be called if SCIP is in one of the following stages:
508  * - \ref SCIP_STAGE_INITSOLVE
509  * - \ref SCIP_STAGE_SOLVING
510  */
512  SCIP* scip /**< SCIP data structure */
513  )
514 {
515  SCIP_CALL( SCIPcheckStage(scip, "SCIPflushNLP", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
516 
517  if( scip->nlp == NULL )
518  {
519  SCIPerrorMessage("NLP has not been constructed.\n");
520  return SCIP_INVALIDCALL;
521  }
522 
523  SCIP_CALL( SCIPnlpFlush(scip->nlp, scip->mem->probmem, scip->set) );
524 
525  return SCIP_OKAY;
526 }
527 
528 /** sets or clears initial primal guess for NLP solution (start point for NLP solver)
529  *
530  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
531  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
532  *
533  * @pre This method can be called if SCIP is in one of the following stages:
534  * - \ref SCIP_STAGE_INITSOLVE
535  * - \ref SCIP_STAGE_SOLVING
536  */
538  SCIP* scip, /**< SCIP data structure */
539  SCIP_Real* initialguess /**< values of initial guess (corresponding to variables from SCIPgetNLPVarsData), or NULL to use no start point */
540  )
541 {
542  SCIP_CALL( SCIPcheckStage(scip, "SCIPsetNLPInitialGuess", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
543 
544  if( scip->nlp == NULL )
545  {
546  SCIPerrorMessage("NLP has not been constructed.\n");
547  return SCIP_INVALIDCALL;
548  }
549 
550  SCIP_CALL( SCIPnlpSetInitialGuess(scip->nlp, SCIPblkmem(scip), initialguess) );
551 
552  return SCIP_OKAY;
553 }
554 
555 /** sets initial primal guess for NLP solution (start point for NLP solver)
556  *
557  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
558  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
559  *
560  * @pre This method can be called if SCIP is in one of the following stages:
561  * - \ref SCIP_STAGE_INITSOLVE
562  * - \ref SCIP_STAGE_SOLVING
563  */
565  SCIP* scip, /**< SCIP data structure */
566  SCIP_SOL* sol /**< solution which values should be taken as initial guess, or NULL for LP solution */
567  )
568 {
569  SCIP_Real* vals;
570 
571  SCIP_CALL( SCIPcheckStage(scip, "SCIPsetNLPInitialGuessSol", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
572 
573  if( scip->nlp == NULL )
574  {
575  SCIPerrorMessage("NLP has not been constructed.\n");
576  return SCIP_INVALIDCALL;
577  }
578 
579  SCIP_CALL( SCIPallocBufferArray(scip, &vals, SCIPnlpGetNVars(scip->nlp)) );
580  SCIP_CALL( SCIPgetSolVals(scip, sol, SCIPnlpGetNVars(scip->nlp), SCIPnlpGetVars(scip->nlp), vals) );
581  SCIP_CALL( SCIPnlpSetInitialGuess(scip->nlp, SCIPblkmem(scip), vals) );
582  SCIPfreeBufferArray(scip, &vals);
583 
584  return SCIP_OKAY;
585 }
586 
587 /** solves the current NLP
588  *
589  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
590  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
591  *
592  * @pre This method can be called if SCIP is in one of the following stages:
593  * - \ref SCIP_STAGE_INITSOLVE
594  * - \ref SCIP_STAGE_SOLVING
595  */
597  SCIP* scip /**< SCIP data structure */
598  )
599 {
600  SCIP_CALL( SCIPcheckStage(scip, "SCIPsolveNLP", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
601 
602  if( scip->nlp == NULL )
603  {
604  SCIPerrorMessage("NLP has not been constructed.\n");
605  return SCIP_INVALIDCALL;
606  }
607 
608  SCIP_CALL( SCIPnlpSolve(scip->nlp, SCIPblkmem(scip), scip->set, scip->messagehdlr, scip->stat) );
609 
610  return SCIP_OKAY;
611 }
612 
613 /** gets solution status of current NLP
614  *
615  * @pre This method can be called if SCIP is in one of the following stages:
616  * - \ref SCIP_STAGE_INITSOLVE
617  * - \ref SCIP_STAGE_SOLVING
618  */
620  SCIP* scip /**< SCIP data structure */
621  )
622 {
623  SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNLPSolstat", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
624 
625  if( scip->nlp == NULL )
626  {
627  SCIPerrorMessage("NLP has not been constructed.\n");
628  SCIPABORT();
629  return SCIP_NLPSOLSTAT_UNKNOWN; /*lint !e527*/
630  }
631 
632  return SCIPnlpGetSolstat(scip->nlp);
633 }
634 
635 /** gets termination status of last NLP solve
636  *
637  * @pre This method can be called if SCIP is in one of the following stages:
638  * - \ref SCIP_STAGE_INITSOLVE
639  * - \ref SCIP_STAGE_SOLVING
640  */
642  SCIP* scip /**< SCIP data structure */
643  )
644 {
645  SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNLPTermstat", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
646 
647  if( scip->nlp == NULL )
648  {
649  SCIPerrorMessage("NLP has not been constructed.\n");
650  SCIPABORT();
651  return SCIP_NLPTERMSTAT_OTHER; /*lint !e527*/
652  }
653 
654  return SCIPnlpGetTermstat(scip->nlp);
655 }
656 
657 /** gives statistics (number of iterations, solving time, ...) of last NLP solve
658  *
659  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
660  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
661  *
662  * @pre This method can be called if SCIP is in one of the following stages:
663  * - \ref SCIP_STAGE_INITSOLVE
664  * - \ref SCIP_STAGE_SOLVING
665  */
667  SCIP* scip, /**< SCIP data structure */
668  SCIP_NLPSTATISTICS* statistics /**< pointer to store statistics */
669  )
670 {
671  SCIP_CALL( SCIPcheckStage(scip, "SCIPgetNLPStatistics", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
672 
673  if( scip->nlp == NULL )
674  {
675  SCIPerrorMessage("NLP has not been constructed.\n");
676  return SCIP_INVALIDCALL;
677  }
678 
679  SCIP_CALL( SCIPnlpGetStatistics(scip->nlp, statistics) );
680 
681  return SCIP_OKAY;
682 }
683 
684 /** gets objective value of current NLP
685  *
686  * @pre This method can be called if SCIP is in one of the following stages:
687  * - \ref SCIP_STAGE_INITSOLVE
688  * - \ref SCIP_STAGE_SOLVING
689  */
691  SCIP* scip /**< SCIP data structure */
692  )
693 {
694  SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNLPObjval", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
695 
696  if( scip->nlp != NULL )
697  {
698  return SCIPnlpGetObjval(scip->nlp);
699  }
700  else
701  {
702  SCIPerrorMessage("NLP has not been constructed.\n");
703  return SCIP_INVALID;
704  }
705 }
706 
707 /** indicates whether a feasible solution for the current NLP is available
708  * thus, returns whether the solution status <= feasible
709  *
710  * @pre This method can be called if SCIP is in one of the following stages:
711  * - \ref SCIP_STAGE_INITSOLVE
712  * - \ref SCIP_STAGE_SOLVING
713  */
715  SCIP* scip /**< SCIP data structure */
716  )
717 {
718  SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPhasNLPSolution", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
719 
720  if( scip->nlp == NULL )
721  {
722  SCIPerrorMessage("NLP has not been constructed.\n");
723  SCIPABORT();
724  return FALSE; /*lint !e527*/
725  }
726 
727  return SCIPnlpHasSolution(scip->nlp);
728 }
729 
730 /** gets fractional variables of last NLP solution along with solution values and fractionalities
731  *
732  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
733  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
734  *
735  * @pre This method can be called if SCIP is in one of the following stages:
736  * - \ref SCIP_STAGE_INITSOLVE
737  * - \ref SCIP_STAGE_SOLVING
738  */
740  SCIP* scip, /**< SCIP data structure */
741  SCIP_VAR*** fracvars, /**< pointer to store the array of NLP fractional variables, or NULL */
742  SCIP_Real** fracvarssol, /**< pointer to store the array of NLP fractional variables solution values, or NULL */
743  SCIP_Real** fracvarsfrac, /**< pointer to store the array of NLP fractional variables fractionalities, or NULL */
744  int* nfracvars, /**< pointer to store the number of NLP fractional variables , or NULL */
745  int* npriofracvars /**< pointer to store the number of NLP fractional variables with maximal branching priority, or NULL */
746  )
747 {
748  SCIP_CALL( SCIPcheckStage(scip, "SCIPgetNLPFracVars", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
749 
750  if( scip->nlp == NULL )
751  {
752  SCIPerrorMessage("NLP has not been constructed.\n");
753  return SCIP_INVALIDCALL;
754  }
755 
756  SCIP_CALL( SCIPnlpGetFracVars(scip->nlp, SCIPblkmem(scip), scip->set, scip->stat, fracvars, fracvarssol, fracvarsfrac, nfracvars, npriofracvars) );
757 
758  return SCIP_OKAY;
759 }
760 
761 /** gets integer parameter of NLP
762  *
763  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
764  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
765  *
766  * @pre This method can be called if SCIP is in one of the following stages:
767  * - \ref SCIP_STAGE_INITSOLVE
768  * - \ref SCIP_STAGE_SOLVING
769  */
771  SCIP* scip, /**< SCIP data structure */
772  SCIP_NLPPARAM type, /**< parameter number */
773  int* ival /**< pointer to store the parameter value */
774  )
775 {
776  SCIP_CALL( SCIPcheckStage(scip, "SCIPgetNLPIntPar", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
777 
778  if( scip->nlp == NULL )
779  {
780  SCIPerrorMessage("NLP has not been constructed.\n");
781  return SCIP_INVALIDCALL;
782  }
783 
784  SCIP_CALL( SCIPnlpGetIntPar(scip->nlp, type, ival) );
785 
786  return SCIP_OKAY;
787 }
788 
789 /** sets integer parameter of NLP
790  *
791  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
792  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
793  *
794  * @pre This method can be called if SCIP is in one of the following stages:
795  * - \ref SCIP_STAGE_INITSOLVE
796  * - \ref SCIP_STAGE_SOLVING
797  */
799  SCIP* scip, /**< SCIP data structure */
800  SCIP_NLPPARAM type, /**< parameter number */
801  int ival /**< parameter value */
802  )
803 {
804  SCIP_CALL( SCIPcheckStage(scip, "SCIPsetNLPIntPar", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
805 
806  if( scip->nlp == NULL )
807  {
808  SCIPerrorMessage("NLP has not been constructed.\n");
809  return SCIP_INVALIDCALL;
810  }
811 
812  SCIP_CALL( SCIPnlpSetIntPar(scip->nlp, type, ival) );
813 
814  return SCIP_OKAY;
815 }
816 
817 /** gets floating point parameter of NLP
818  *
819  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
820  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
821  *
822  * @pre This method can be called if SCIP is in one of the following stages:
823  * - \ref SCIP_STAGE_INITSOLVE
824  * - \ref SCIP_STAGE_SOLVING
825  */
827  SCIP* scip, /**< SCIP data structure */
828  SCIP_NLPPARAM type, /**< parameter number */
829  SCIP_Real* dval /**< pointer to store the parameter value */
830  )
831 {
832  SCIP_CALL( SCIPcheckStage(scip, "SCIPgetNLPRealPar", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
833 
834  if( scip->nlp == NULL )
835  {
836  SCIPerrorMessage("NLP has not been constructed.\n");
837  return SCIP_INVALIDCALL;
838  }
839 
840  SCIP_CALL( SCIPnlpGetRealPar(scip->nlp, type, dval) );
841 
842  return SCIP_OKAY;
843 }
844 
845 /** sets floating point parameter of NLP
846  *
847  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
848  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
849  *
850  * @pre This method can be called if SCIP is in one of the following stages:
851  * - \ref SCIP_STAGE_INITSOLVE
852  * - \ref SCIP_STAGE_SOLVING
853  */
855  SCIP* scip, /**< SCIP data structure */
856  SCIP_NLPPARAM type, /**< parameter number */
857  SCIP_Real dval /**< parameter value */
858  )
859 {
860  SCIP_CALL( SCIPcheckStage(scip, "SCIPsetNLPRealPar", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
861 
862  if( scip->nlp == NULL )
863  {
864  SCIPerrorMessage("NLP has not been constructed.\n");
865  return SCIP_INVALIDCALL;
866  }
867 
868  SCIP_CALL( SCIPnlpSetRealPar(scip->nlp, type, dval) );
869 
870  return SCIP_OKAY;
871 }
872 
873 /** gets string parameter of NLP
874  *
875  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
876  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
877  *
878  * @pre This method can be called if SCIP is in one of the following stages:
879  * - \ref SCIP_STAGE_INITSOLVE
880  * - \ref SCIP_STAGE_SOLVING
881  */
883  SCIP* scip, /**< SCIP data structure */
884  SCIP_NLPPARAM type, /**< parameter number */
885  const char** sval /**< pointer to store the parameter value */
886  )
887 {
888  SCIP_CALL( SCIPcheckStage(scip, "SCIPgetNLPStringPar", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
889 
890  if( scip->nlp == NULL )
891  {
892  SCIPerrorMessage("NLP has not been constructed.\n");
893  return SCIP_INVALIDCALL;
894  }
895 
896  SCIP_CALL( SCIPnlpGetStringPar(scip->nlp, type, sval) );
897 
898  return SCIP_OKAY;
899 }
900 
901 /** sets string parameter of NLP
902  *
903  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
904  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
905  *
906  * @pre This method can be called if SCIP is in one of the following stages:
907  * - \ref SCIP_STAGE_INITSOLVE
908  * - \ref SCIP_STAGE_SOLVING
909  */
911  SCIP* scip, /**< SCIP data structure */
912  SCIP_NLPPARAM type, /**< parameter number */
913  const char* sval /**< parameter value */
914  )
915 {
916  SCIP_CALL( SCIPcheckStage(scip, "SCIPsetNLPStringPar", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
917 
918  if( scip->nlp == NULL )
919  {
920  SCIPerrorMessage("NLP has not been constructed.\n");
921  return SCIP_INVALIDCALL;
922  }
923 
924  SCIP_CALL( SCIPnlpSetStringPar(scip->nlp, type, sval) );
925 
926  return SCIP_OKAY;
927 }
928 
929 /** writes current NLP to a file
930  *
931  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
932  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
933  *
934  * @pre This method can be called if SCIP is in one of the following stages:
935  * - \ref SCIP_STAGE_INITSOLVE
936  * - \ref SCIP_STAGE_SOLVING
937  */
939  SCIP* scip, /**< SCIP data structure */
940  const char* filename /**< file name */
941  )
942 {
943  SCIP_CALL( SCIPcheckStage(scip, "SCIPwriteNLP", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
944 
945  if( scip->nlp == NULL )
946  {
947  SCIPerrorMessage("NLP has not been constructed.\n");
948  return SCIP_INVALIDCALL;
949  }
950 
951  SCIP_CALL( SCIPnlpWrite(scip->nlp, scip->set, scip->messagehdlr, filename) );
952 
953  return SCIP_OKAY;
954 }
955 
956 /** gets the NLP interface and problem used by the SCIP NLP;
957  * with the NLPI and its problem you can use all of the methods defined in nlpi/nlpi.h;
958  *
959  * @warning You have to make sure, that the full internal state of the NLPI does not change or is recovered completely
960  * after the end of the method that uses the NLPI. In particular, if you manipulate the NLP or its solution
961  * (e.g. by calling one of the SCIPnlpiAdd...() or the SCIPnlpiSolve() method), you have to check in advance
962  * whether the NLP is currently solved. If this is the case, you have to make sure, the internal solution
963  * status is recovered completely at the end of your method. Additionally you have to resolve the NLP with
964  * SCIPnlpiSolve() in order to reinstall the internal solution status.
965  *
966  * @warning Make also sure, that all parameter values that you have changed are set back to their original values.
967  *
968  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
969  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
970  *
971  * @pre This method can be called if SCIP is in one of the following stages:
972  * - \ref SCIP_STAGE_INITSOLVE
973  * - \ref SCIP_STAGE_SOLVING
974  */
976  SCIP* scip, /**< SCIP data structure */
977  SCIP_NLPI** nlpi, /**< pointer to store the NLP solver interface */
978  SCIP_NLPIPROBLEM** nlpiproblem /**< pointer to store the NLP solver interface problem */
979  )
980 {
981  assert(nlpi != NULL);
982  assert(nlpiproblem != NULL);
983 
984  SCIP_CALL( SCIPcheckStage(scip, "SCIPgetNLPI", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
985 
986  if( scip->nlp == NULL )
987  {
988  SCIPerrorMessage("NLP has not been constructed.\n");
989  return SCIP_INVALIDCALL;
990  }
991 
992  *nlpi = SCIPnlpGetNLPI(scip->nlp);
993  *nlpiproblem = SCIPnlpGetNLPIProblem(scip->nlp);
994 
995  return SCIP_OKAY;
996 }
997 
998 
999 /*
1000  * NLP diving methods
1001  */
1002 
1003 /**@name NLP Diving Methods */
1004 /**@{ */
1005 
1006 /** initiates NLP diving making methods SCIPchgVarObjDiveNLP(), SCIPchgVarBoundsDiveNLP(), SCIPchgVarsBoundsDiveNLP(), and SCIPsolveDiveNLP() available
1007  *
1008  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1009  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1010  *
1011  * @pre This method can be called if SCIP is in one of the following stages:
1012  * - \ref SCIP_STAGE_INITSOLVE
1013  * - \ref SCIP_STAGE_SOLVING
1014  */
1016  SCIP* scip /**< SCIP data structure */
1017  )
1018 {
1019  SCIP_CALL( SCIPcheckStage(scip, "SCIPstartDiveNLP", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1020 
1021  if( scip->nlp == NULL )
1022  {
1023  SCIPerrorMessage("NLP has not been constructed.\n");
1024  return SCIP_INVALIDCALL;
1025  }
1026 
1027  SCIP_CALL( SCIPnlpStartDive(scip->nlp, SCIPblkmem(scip), scip->set) );
1028 
1029  return SCIP_OKAY;
1030 }
1031 
1032 /** ends NLP diving
1033  *
1034  * Resets changes made by SCIPchgVarObjDiveNLP(), SCIPchgVarBoundsDiveNLP(), and SCIPchgVarsBoundsDiveNLP().
1035  *
1036  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1037  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1038  *
1039  * @pre This method can be called if SCIP is in one of the following stages:
1040  * - \ref SCIP_STAGE_INITSOLVE
1041  * - \ref SCIP_STAGE_SOLVING
1042  */
1044  SCIP* scip /**< SCIP data structure */
1045  )
1046 {
1047  SCIP_CALL( SCIPcheckStage(scip, "SCIPendDiveNLP", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1048 
1049  if( scip->nlp == NULL )
1050  {
1051  SCIPerrorMessage("NLP has not been constructed.\n");
1052  return SCIP_INVALIDCALL;
1053  }
1054 
1055  SCIP_CALL( SCIPnlpEndDive(scip->nlp, SCIPblkmem(scip), scip->set) );
1056 
1057  return SCIP_OKAY;
1058 }
1059 
1060 /** changes linear objective coefficient of a variable in diving NLP
1061  *
1062  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1063  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1064  *
1065  * @pre This method can be called if SCIP is in one of the following stages:
1066  * - \ref SCIP_STAGE_INITSOLVE
1067  * - \ref SCIP_STAGE_SOLVING
1068  */
1070  SCIP* scip, /**< SCIP data structure */
1071  SCIP_VAR* var, /**< variable which coefficient to change */
1072  SCIP_Real coef /**< new value for coefficient */
1073  )
1074 {
1075  SCIP_CALL( SCIPcheckStage(scip, "SCIPchgVarObjDiveNLP", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1076 
1077  assert( var->scip == scip );
1078 
1079  if( scip->nlp == NULL )
1080  {
1081  SCIPerrorMessage("NLP has not been constructed.\n");
1082  return SCIP_INVALIDCALL;
1083  }
1084 
1085  SCIP_CALL( SCIPnlpChgVarObjDive(scip->nlp, SCIPblkmem(scip), scip->set, scip->stat, var, coef) );
1086 
1087  return SCIP_OKAY;
1088 }
1089 
1090 /** changes bounds of a variable in diving NLP
1091  *
1092  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1093  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1094  *
1095  * @pre This method can be called if SCIP is in one of the following stages:
1096  * - \ref SCIP_STAGE_INITSOLVE
1097  * - \ref SCIP_STAGE_SOLVING
1098  */
1100  SCIP* scip, /**< SCIP data structure */
1101  SCIP_VAR* var, /**< variable which bounds to change */
1102  SCIP_Real lb, /**< new lower bound */
1103  SCIP_Real ub /**< new upper bound */
1104  )
1105 {
1106  SCIP_CALL( SCIPcheckStage(scip, "SCIPchgVarBoundsDiveNLP", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1107 
1108  assert( var->scip == scip );
1109 
1110  if( scip->nlp == NULL )
1111  {
1112  SCIPerrorMessage("NLP has not been constructed.\n");
1113  return SCIP_INVALIDCALL;
1114  }
1115 
1116  SCIP_CALL( SCIPnlpChgVarBoundsDive(scip->nlp, var, lb, ub) );
1117 
1118  return SCIP_OKAY;
1119 }
1120 
1121 /** changes bounds of a set of variables in diving NLP
1122  *
1123  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1124  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1125  *
1126  * @pre This method can be called if SCIP is in one of the following stages:
1127  * - \ref SCIP_STAGE_INITSOLVE
1128  * - \ref SCIP_STAGE_SOLVING
1129  */
1131  SCIP* scip, /**< SCIP data structure */
1132  int nvars, /**< number of variables which bounds to changes */
1133  SCIP_VAR** vars, /**< variables which bounds to change */
1134  SCIP_Real* lbs, /**< new lower bounds */
1135  SCIP_Real* ubs /**< new upper bounds */
1136  )
1137 {
1138  SCIP_CALL( SCIPcheckStage(scip, "SCIPchgVarsBoundsDiveNLP", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1139 
1140  if( scip->nlp == NULL )
1141  {
1142  SCIPerrorMessage("NLP has not been constructed.\n");
1143  return SCIP_INVALIDCALL;
1144  }
1145 
1146  SCIP_CALL( SCIPnlpChgVarsBoundsDive(scip->nlp, scip->set, nvars, vars, lbs, ubs) );
1147 
1148  return SCIP_OKAY;
1149 }
1150 
1151 /** solves diving NLP
1152  *
1153  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1154  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1155  *
1156  * @pre This method can be called if SCIP is in one of the following stages:
1157  * - \ref SCIP_STAGE_INITSOLVE
1158  * - \ref SCIP_STAGE_SOLVING
1159  */
1161  SCIP* scip /**< SCIP data structure */
1162  )
1163 {
1164  SCIP_CALL( SCIPcheckStage(scip, "SCIPsolveDiveNLP", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1165 
1166  if( scip->nlp == NULL )
1167  {
1168  SCIPerrorMessage("NLP has not been constructed.\n");
1169  return SCIP_INVALIDCALL;
1170  }
1171 
1172  SCIP_CALL( SCIPnlpSolveDive(scip->nlp, SCIPblkmem(scip), scip->set, scip->messagehdlr, scip->stat) );
1173 
1174  return SCIP_OKAY;
1175 }
1176 
1177 /**@} */
1178 
1179 
1180 /*
1181  * NLP nonlinear row methods
1182  */
1183 
1184 /** creates and captures an NLP row
1185  *
1186  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1187  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1188  *
1189  * @pre This method can be called if SCIP is in one of the following stages:
1190  * - \ref SCIP_STAGE_PRESOLVED
1191  * - \ref SCIP_STAGE_INITSOLVE
1192  * - \ref SCIP_STAGE_SOLVING
1193  */
1195  SCIP* scip, /**< SCIP data structure */
1196  SCIP_NLROW** nlrow, /**< buffer to store pointer to nonlinear row */
1197  const char* name, /**< name of nonlinear row */
1198  SCIP_Real constant, /**< constant */
1199  int nlinvars, /**< number of linear variables */
1200  SCIP_VAR** linvars, /**< linear variables, or NULL if nlinvars == 0 */
1201  SCIP_Real* lincoefs, /**< linear coefficients, or NULL if nlinvars == 0 */
1202  int nquadvars, /**< number variables in quadratic terms */
1203  SCIP_VAR** quadvars, /**< variables in quadratic terms, or NULL if nquadvars == 0 */
1204  int nquadelems, /**< number of elements in quadratic term */
1205  SCIP_QUADELEM* quadelems, /**< elements (i.e., monomials) in quadratic term, or NULL if nquadelems == 0 */
1206  SCIP_EXPRTREE* expression, /**< nonlinear expression, or NULL */
1207  SCIP_Real lhs, /**< left hand side */
1208  SCIP_Real rhs, /**< right hand side */
1209  SCIP_EXPRCURV curvature /**< curvature of the nonlinear row */
1210  )
1211 {
1212  SCIP_CALL( SCIPcheckStage(scip, "SCIPcreateNlRow", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1213 
1214  SCIP_CALL( SCIPnlrowCreate(nlrow, scip->mem->probmem, scip->set,
1215  name, constant, nlinvars, linvars, lincoefs, nquadvars, quadvars, nquadelems, quadelems, expression, lhs, rhs, curvature) );
1216 
1217  return SCIP_OKAY;
1218 }
1219 
1220 /** creates and captures an NLP nonlinear row without any coefficients
1221  *
1222  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1223  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1224  *
1225  * @pre This method can be called if SCIP is in one of the following stages:
1226  * - \ref SCIP_STAGE_PRESOLVED
1227  * - \ref SCIP_STAGE_INITSOLVE
1228  * - \ref SCIP_STAGE_SOLVING
1229  */
1231  SCIP* scip, /**< SCIP data structure */
1232  SCIP_NLROW** nlrow, /**< pointer to nonlinear row */
1233  const char* name, /**< name of nonlinear row */
1234  SCIP_Real lhs, /**< left hand side */
1235  SCIP_Real rhs /**< right hand side */
1236  )
1237 {
1238  SCIP_CALL( SCIPcheckStage(scip, "SCIPcreateEmptyNlRow", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1239 
1240  SCIP_CALL( SCIPnlrowCreate(nlrow, scip->mem->probmem, scip->set,
1241  name, 0.0, 0, NULL, NULL, 0, NULL, 0, NULL, NULL, lhs, rhs, SCIP_EXPRCURV_UNKNOWN) );
1242 
1243  return SCIP_OKAY;
1244 }
1245 
1246 /** creates and captures an NLP row from a linear row
1247  *
1248  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1249  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1250  *
1251  * @pre This method can be called if SCIP is in one of the following stages:
1252  * - \ref SCIP_STAGE_PRESOLVED
1253  * - \ref SCIP_STAGE_INITSOLVE
1254  * - \ref SCIP_STAGE_SOLVING
1255  */
1257  SCIP* scip, /**< SCIP data structure */
1258  SCIP_NLROW** nlrow, /**< pointer to nonlinear row */
1259  SCIP_ROW* row /**< the linear row to copy */
1260  )
1261 {
1262  SCIP_CALL( SCIPcheckStage(scip, "SCIPcreateNlRowFromRow", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1263 
1264  SCIP_CALL( SCIPnlrowCreateFromRow(nlrow, scip->mem->probmem, scip->set, row) );
1265 
1266  return SCIP_OKAY;
1267 }
1268 
1269 /** increases usage counter of NLP nonlinear row
1270  *
1271  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1272  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1273  *
1274  * @pre This method can be called if SCIP is in one of the following stages:
1275  * - \ref SCIP_STAGE_PRESOLVED
1276  * - \ref SCIP_STAGE_INITSOLVE
1277  * - \ref SCIP_STAGE_SOLVING
1278  */
1280  SCIP* scip, /**< SCIP data structure */
1281  SCIP_NLROW* nlrow /**< nonlinear row to capture */
1282  )
1283 {
1284  SCIP_CALL( SCIPcheckStage(scip, "SCIPcaptureNlRow", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1285 
1286  SCIPnlrowCapture(nlrow);
1287 
1288  return SCIP_OKAY;
1289 }
1290 
1291 /** decreases usage counter of NLP nonlinear row, and frees memory if necessary
1292  *
1293  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1294  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1295  *
1296  * @pre This method can be called if SCIP is in one of the following stages:
1297  * - \ref SCIP_STAGE_PRESOLVED
1298  * - \ref SCIP_STAGE_INITSOLVE
1299  * - \ref SCIP_STAGE_SOLVING
1300  * - \ref SCIP_STAGE_EXITSOLVE
1301  */
1303  SCIP* scip, /**< SCIP data structure */
1304  SCIP_NLROW** nlrow /**< pointer to nonlinear row */
1305  )
1306 {
1307  SCIP_CALL( SCIPcheckStage(scip, "SCIPreleaseNlRow", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE) );
1308 
1309  SCIP_CALL( SCIPnlrowRelease(nlrow, scip->mem->probmem, scip->set) );
1310 
1311  return SCIP_OKAY;
1312 }
1313 
1314 /** changes left hand side of NLP nonlinear row
1315  *
1316  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1317  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1318  *
1319  * @pre This method can be called if SCIP is in one of the following stages:
1320  * - \ref SCIP_STAGE_PRESOLVED
1321  * - \ref SCIP_STAGE_INITSOLVE
1322  * - \ref SCIP_STAGE_SOLVING
1323  */
1325  SCIP* scip, /**< SCIP data structure */
1326  SCIP_NLROW* nlrow, /**< NLP nonlinear row */
1327  SCIP_Real lhs /**< new left hand side */
1328  )
1329 {
1330  SCIP_CALL( SCIPcheckStage(scip, "SCIPchgNlRowLhs", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1331 
1332  SCIP_CALL( SCIPnlrowChgLhs(nlrow, scip->set, scip->stat, scip->nlp, lhs) );
1333 
1334  return SCIP_OKAY;
1335 }
1336 
1337 /** changes right hand side of NLP nonlinear row
1338  *
1339  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1340  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1341  *
1342  * @pre This method can be called if SCIP is in one of the following stages:
1343  * - \ref SCIP_STAGE_PRESOLVED
1344  * - \ref SCIP_STAGE_INITSOLVE
1345  * - \ref SCIP_STAGE_SOLVING
1346  */
1348  SCIP* scip, /**< SCIP data structure */
1349  SCIP_NLROW* nlrow, /**< NLP nonlinear row */
1350  SCIP_Real rhs /**< new right hand side */
1351  )
1352 {
1353  SCIP_CALL( SCIPcheckStage(scip, "SCIPchgNlRowRhs", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1354 
1355  SCIP_CALL( SCIPnlrowChgRhs(nlrow, scip->set, scip->stat, scip->nlp, rhs) );
1356 
1357  return SCIP_OKAY;
1358 }
1359 
1360 /** changes constant of NLP nonlinear row
1361  *
1362  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1363  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1364  *
1365  * @pre This method can be called if SCIP is in one of the following stages:
1366  * - \ref SCIP_STAGE_PRESOLVED
1367  * - \ref SCIP_STAGE_INITSOLVE
1368  * - \ref SCIP_STAGE_SOLVING
1369  */
1371  SCIP* scip, /**< SCIP data structure */
1372  SCIP_NLROW* nlrow, /**< NLP row */
1373  SCIP_Real constant /**< new value for constant */
1374  )
1375 {
1376  SCIP_CALL( SCIPcheckStage(scip, "SCIPchgNlRowConstant", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1377 
1378  SCIP_CALL( SCIPnlrowChgConstant(nlrow, scip->set, scip->stat, scip->nlp, constant) );
1379 
1380  return SCIP_OKAY;
1381 }
1382 
1383 /** adds variable with a linear coefficient to the nonlinear row
1384  *
1385  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1386  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1387  *
1388  * @pre This method can be called if SCIP is in one of the following stages:
1389  * - \ref SCIP_STAGE_PRESOLVED
1390  * - \ref SCIP_STAGE_INITSOLVE
1391  * - \ref SCIP_STAGE_SOLVING
1392  */
1394  SCIP* scip, /**< SCIP data structure */
1395  SCIP_NLROW* nlrow, /**< NLP row */
1396  SCIP_VAR* var, /**< problem variable */
1397  SCIP_Real val /**< value of coefficient in linear part of row */
1398  )
1399 {
1400  SCIP_CALL( SCIPcheckStage(scip, "SCIPaddLinearCoefToNlRow", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1401 
1402  SCIP_CALL( SCIPnlrowAddLinearCoef(nlrow, scip->mem->probmem, scip->set, scip->stat, scip->nlp, var, val) );
1403 
1404  return SCIP_OKAY;
1405 }
1406 
1407 /** adds variables with linear coefficients to the row
1408  *
1409  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1410  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1411  *
1412  * @pre This method can be called if SCIP is in one of the following stages:
1413  * - \ref SCIP_STAGE_PRESOLVED
1414  * - \ref SCIP_STAGE_INITSOLVE
1415  * - \ref SCIP_STAGE_SOLVING
1416  */
1418  SCIP* scip, /**< SCIP data structure */
1419  SCIP_NLROW* nlrow, /**< NLP row */
1420  int nvars, /**< number of variables to add to the row */
1421  SCIP_VAR** vars, /**< problem variables to add */
1422  SCIP_Real* vals /**< values of coefficients in linear part of row */
1423  )
1424 {
1425  int v;
1426 
1427  assert(nvars == 0 || vars != NULL);
1428  assert(nvars == 0 || vals != NULL);
1429 
1430  SCIP_CALL( SCIPcheckStage(scip, "SCIPaddLinearCoefsToNlRow", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1431 
1432  /* add the variables to the row */
1433  for( v = 0; v < nvars; ++v )
1434  {
1435  SCIP_CALL( SCIPnlrowAddLinearCoef(nlrow, scip->mem->probmem, scip->set, scip->stat, scip->nlp, vars[v], vals[v]) );
1436  }
1437 
1438  return SCIP_OKAY;
1439 }
1440 
1441 /** changes linear coefficient of a variables in a row
1442  *
1443  * Setting the coefficient to 0.0 means that it is removed from the row
1444  * the variable does not need to exists before.
1445  *
1446  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1447  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1448  *
1449  * @pre This method can be called if SCIP is in one of the following stages:
1450  * - \ref SCIP_STAGE_PRESOLVED
1451  * - \ref SCIP_STAGE_INITSOLVE
1452  * - \ref SCIP_STAGE_SOLVING
1453  */
1455  SCIP* scip, /**< SCIP data structure */
1456  SCIP_NLROW* nlrow, /**< NLP row */
1457  SCIP_VAR* var, /**< variable */
1458  SCIP_Real coef /**< new value of coefficient */
1459  )
1460 {
1461  assert(var != NULL);
1462 
1463  SCIP_CALL( SCIPcheckStage(scip, "SCIPchgNlRowLinearCoef", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1464 
1465  SCIP_CALL( SCIPnlrowChgLinearCoef(nlrow, scip->mem->probmem, scip->set, scip->stat, scip->nlp, var, coef) );
1466 
1467  return SCIP_OKAY;
1468 }
1469 
1470 /** adds quadratic variable to the nonlinear row
1471  *
1472  * After adding a quadratic variable, it can be used to add quadratic elements.
1473  *
1474  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1475  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1476  *
1477  * @pre This method can be called if SCIP is in one of the following stages:
1478  * - \ref SCIP_STAGE_PRESOLVED
1479  * - \ref SCIP_STAGE_INITSOLVE
1480  * - \ref SCIP_STAGE_SOLVING
1481  */
1483  SCIP* scip, /**< SCIP data structure */
1484  SCIP_NLROW* nlrow, /**< NLP row */
1485  SCIP_VAR* var /**< problem variable */
1486  )
1487 {
1488  SCIP_CALL( SCIPcheckStage(scip, "SCIPaddQuadVarToNlRow", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1489 
1490  SCIP_CALL( SCIPnlrowAddQuadVar(nlrow, scip->mem->probmem, scip->set, var) );
1491 
1492  return SCIP_OKAY;
1493 }
1494 
1495 /** adds quadratic variables to the nonlinear row
1496  *
1497  * After adding quadratic variables, they can be used to add quadratic elements.
1498  *
1499  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1500  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1501  *
1502  * @pre This method can be called if SCIP is in one of the following stages:
1503  * - \ref SCIP_STAGE_PRESOLVED
1504  * - \ref SCIP_STAGE_INITSOLVE
1505  * - \ref SCIP_STAGE_SOLVING
1506  */
1508  SCIP* scip, /**< SCIP data structure */
1509  SCIP_NLROW* nlrow, /**< NLP row */
1510  int nvars, /**< number of problem variables */
1511  SCIP_VAR** vars /**< problem variables */
1512  )
1513 {
1514  int v;
1515 
1516  assert(nvars == 0 || vars != NULL);
1517 
1518  SCIP_CALL( SCIPcheckStage(scip, "SCIPaddQuadVarsToNlRow", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1519 
1520  SCIP_CALL( SCIPnlrowEnsureQuadVarsSize(nlrow, scip->mem->probmem, scip->set, SCIPnlrowGetNQuadVars(nlrow) + nvars) );
1521  for( v = 0; v < nvars; ++v )
1522  {
1523  SCIP_CALL( SCIPnlrowAddQuadVar(nlrow, scip->mem->probmem, scip->set, vars[v]) );
1524  }
1525 
1526  return SCIP_OKAY;
1527 }
1528 
1529 /** add a quadratic element to the nonlinear row
1530  *
1531  * Variable indices of the quadratic element need to be relative to quadratic variables array of row.
1532  *
1533  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1534  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1535  *
1536  * @pre This method can be called if SCIP is in one of the following stages:
1537  * - \ref SCIP_STAGE_PRESOLVED
1538  * - \ref SCIP_STAGE_INITSOLVE
1539  * - \ref SCIP_STAGE_SOLVING
1540  */
1542  SCIP* scip, /**< SCIP data structure */
1543  SCIP_NLROW* nlrow, /**< NLP row */
1544  SCIP_QUADELEM quadelem /**< quadratic element */
1545  )
1546 {
1547  SCIP_CALL( SCIPcheckStage(scip, "SCIPaddQuadElementToNlRow", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1548 
1549  SCIP_CALL( SCIPnlrowAddQuadElement(nlrow, scip->mem->probmem, scip->set, scip->stat, scip->nlp, quadelem) );
1550 
1551  /* invalidate curvature */
1552  if( quadelem.coef != 0.0 )
1554 
1555  return SCIP_OKAY;
1556 }
1557 
1558 /** adds quadratic elements to the nonlinear row
1559  *
1560  * Variable indices of the quadratic elements need to be relative to quadratic variables array of row.
1561  *
1562  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1563  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1564  *
1565  * @pre This method can be called if SCIP is in one of the following stages:
1566  * - \ref SCIP_STAGE_PRESOLVED
1567  * - \ref SCIP_STAGE_INITSOLVE
1568  * - \ref SCIP_STAGE_SOLVING
1569  */
1571  SCIP* scip, /**< SCIP data structure */
1572  SCIP_NLROW* nlrow, /**< NLP row */
1573  int nquadelems, /**< number of quadratic elements */
1574  SCIP_QUADELEM* quadelems /**< quadratic elements */
1575  )
1576 {
1577  int v;
1578 
1579  assert(nquadelems == 0 || quadelems != NULL);
1580 
1581  SCIP_CALL( SCIPcheckStage(scip, "SCIPaddQuadElementsToNlRow", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1582 
1583  SCIP_CALL( SCIPnlrowEnsureQuadElementsSize(nlrow, scip->mem->probmem, scip->set, SCIPnlrowGetNQuadElems(nlrow) + nquadelems) );
1584  for( v = 0; v < nquadelems; ++v )
1585  {
1586  SCIP_CALL( SCIPnlrowAddQuadElement(nlrow, scip->mem->probmem, scip->set, scip->stat, scip->nlp, quadelems[v]) );
1587  }
1588 
1589  /* invalidate curvature */
1591 
1592  return SCIP_OKAY;
1593 }
1594 
1595 /** changes coefficient in quadratic part of a row
1596  *
1597  * Setting the coefficient in the quadelement to 0.0 means that it is removed from the row
1598  * the element does not need to exists before.
1599  *
1600  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1601  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1602  *
1603  * @pre This method can be called if SCIP is in one of the following stages:
1604  * - \ref SCIP_STAGE_PRESOLVED
1605  * - \ref SCIP_STAGE_INITSOLVE
1606  * - \ref SCIP_STAGE_SOLVING
1607  */
1609  SCIP* scip, /**< SCIP data structure */
1610  SCIP_NLROW* nlrow, /**< NLP row */
1611  SCIP_QUADELEM quadelement /**< new quadratic element, or update for existing one */
1612  )
1613 {
1614  SCIP_CALL( SCIPcheckStage(scip, "SCIPchgNlRowQuadElement", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1615 
1616  SCIP_CALL( SCIPnlrowChgQuadElem(nlrow, scip->mem->probmem, scip->set, scip->stat, scip->nlp, quadelement) );
1617 
1618  return SCIP_OKAY;
1619 }
1620 
1621 /** sets or deletes expression tree in the nonlinear row
1622  *
1623  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1624  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1625  *
1626  * @pre This method can be called if SCIP is in one of the following stages:
1627  * - \ref SCIP_STAGE_PRESOLVED
1628  * - \ref SCIP_STAGE_INITSOLVE
1629  * - \ref SCIP_STAGE_SOLVING
1630  */
1632  SCIP* scip, /**< SCIP data structure */
1633  SCIP_NLROW* nlrow, /**< NLP row */
1634  SCIP_EXPRTREE* exprtree /**< expression tree, or NULL */
1635  )
1636 {
1637  SCIP_CALL( SCIPcheckStage(scip, "SCIPsetNlRowExprtree", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1638 
1639  SCIP_CALL( SCIPnlrowChgExprtree(nlrow, scip->mem->probmem, scip->set, scip->stat, scip->nlp, exprtree) );
1640 
1641  /* invalidate curvature */
1643 
1644  return SCIP_OKAY;
1645 }
1646 
1647 /** sets a parameter of expression tree in the nonlinear row
1648  *
1649  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1650  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1651  *
1652  * @pre This method can be called if SCIP is in one of the following stages:
1653  * - \ref SCIP_STAGE_PRESOLVED
1654  * - \ref SCIP_STAGE_INITSOLVE
1655  * - \ref SCIP_STAGE_SOLVING
1656  */
1658  SCIP* scip, /**< SCIP data structure */
1659  SCIP_NLROW* nlrow, /**< NLP row */
1660  int paramidx, /**< index of parameter in expression tree */
1661  SCIP_Real paramval /**< new value of parameter in expression tree */
1662  )
1663 {
1664  SCIP_CALL( SCIPcheckStage(scip, "SCIPsetNlRowExprtreeParam", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1665 
1666  SCIP_CALL( SCIPnlrowChgExprtreeParam(nlrow, scip->mem->probmem, scip->set, scip->stat, scip->nlp, paramidx, paramval) );
1667 
1668  return SCIP_OKAY;
1669 }
1670 
1671 /** sets parameters of expression tree in the nonlinear row
1672  *
1673  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1674  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1675  *
1676  * @pre This method can be called if SCIP is in one of the following stages:
1677  * - \ref SCIP_STAGE_PRESOLVED
1678  * - \ref SCIP_STAGE_INITSOLVE
1679  * - \ref SCIP_STAGE_SOLVING
1680  */
1682  SCIP* scip, /**< SCIP data structure */
1683  SCIP_NLROW* nlrow, /**< NLP row */
1684  SCIP_Real* paramvals /**< new values of parameter in expression tree */
1685  )
1686 {
1687  SCIP_CALL( SCIPcheckStage(scip, "SCIPsetNlRowExprtreeParams", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1688 
1689  SCIP_CALL( SCIPnlrowChgExprtreeParams(nlrow, scip->mem->probmem, scip->set, scip->stat, scip->nlp, paramvals) );
1690 
1691  return SCIP_OKAY;
1692 }
1693 
1694 /** recalculates the activity of a nonlinear row in the last NLP solution
1695  *
1696  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1697  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1698  *
1699  * @pre This method can be called if SCIP is in one of the following stages:
1700  * - \ref SCIP_STAGE_PRESOLVED
1701  * - \ref SCIP_STAGE_INITSOLVE
1702  * - \ref SCIP_STAGE_SOLVING
1703  */
1705  SCIP* scip, /**< SCIP data structure */
1706  SCIP_NLROW* nlrow /**< NLP nonlinear row */
1707  )
1708 {
1709  SCIP_CALL( SCIPcheckStage(scip, "SCIPrecalcNlRowNLPActivity", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1710 
1711  if( scip->nlp == NULL )
1712  {
1713  SCIPerrorMessage("do not have NLP for computing NLP activity\n");
1714  return SCIP_INVALIDCALL;
1715  }
1716 
1717  SCIP_CALL( SCIPnlrowRecalcNLPActivity(nlrow, scip->set, scip->stat, scip->nlp) );
1718 
1719  return SCIP_OKAY;
1720 }
1721 
1722 /** returns the activity of a nonlinear row in the last NLP solution
1723  *
1724  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1725  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1726  *
1727  * @pre This method can be called if SCIP is in one of the following stages:
1728  * - \ref SCIP_STAGE_INITSOLVE
1729  * - \ref SCIP_STAGE_SOLVING
1730  */
1732  SCIP* scip, /**< SCIP data structure */
1733  SCIP_NLROW* nlrow, /**< NLP nonlinear row */
1734  SCIP_Real* activity /**< pointer to store activity value */
1735  )
1736 {
1737  SCIP_CALL( SCIPcheckStage(scip, "SCIPgetNlRowNLPActivity", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1738 
1739  if( scip->nlp == NULL )
1740  {
1741  SCIPerrorMessage("do not have NLP for computing NLP activity\n");
1742  return SCIP_INVALIDCALL;
1743  }
1744 
1745  SCIP_CALL( SCIPnlrowGetNLPActivity(nlrow, scip->set, scip->stat, scip->nlp, activity) );
1746 
1747  return SCIP_OKAY;
1748 }
1749 
1750 /** gives the feasibility of a nonlinear row in the last NLP solution: negative value means infeasibility
1751  *
1752  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1753  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1754  *
1755  * @pre This method can be called if SCIP is in one of the following stages:
1756  * - \ref SCIP_STAGE_INITSOLVE
1757  * - \ref SCIP_STAGE_SOLVING
1758  */
1760  SCIP* scip, /**< SCIP data structure */
1761  SCIP_NLROW* nlrow, /**< NLP nonlinear row */
1762  SCIP_Real* feasibility /**< pointer to store feasibility value */
1763  )
1764 {
1765  SCIP_CALL( SCIPcheckStage(scip, "SCIPgetNlRowNLPFeasibility", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1766 
1767  if( scip->nlp == NULL )
1768  {
1769  SCIPerrorMessage("do not have NLP for computing NLP feasibility\n");
1770  return SCIP_INVALIDCALL;
1771  }
1772 
1773  SCIP_CALL( SCIPnlrowGetNLPFeasibility(nlrow, scip->set, scip->stat, scip->nlp, feasibility) );
1774 
1775  return SCIP_OKAY;
1776 }
1777 
1778 /** recalculates the activity of a nonlinear row for the current pseudo solution
1779  *
1780  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1781  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1782  *
1783  * @pre This method can be called if SCIP is in one of the following stages:
1784  * - \ref SCIP_STAGE_INITSOLVE
1785  * - \ref SCIP_STAGE_SOLVING
1786  */
1788  SCIP* scip, /**< SCIP data structure */
1789  SCIP_NLROW* nlrow /**< NLP nonlinear row */
1790  )
1791 {
1792  SCIP_CALL( SCIPcheckStage(scip, "SCIPrecalcNlRowPseudoActivity", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1793 
1794  SCIP_CALL( SCIPnlrowRecalcPseudoActivity(nlrow, scip->set, scip->stat) );
1795 
1796  return SCIP_OKAY;
1797 }
1798 
1799 /** gives the activity of a nonlinear row for the current pseudo solution
1800  *
1801  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1802  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1803  *
1804  * @pre This method can be called if SCIP is in one of the following stages:
1805  * - \ref SCIP_STAGE_INITSOLVE
1806  * - \ref SCIP_STAGE_SOLVING
1807  */
1809  SCIP* scip, /**< SCIP data structure */
1810  SCIP_NLROW* nlrow, /**< NLP nonlinear row */
1811  SCIP_Real* pseudoactivity /**< pointer to store pseudo activity value */
1812  )
1813 {
1814  SCIP_CALL( SCIPcheckStage(scip, "SCIPgetNlRowPseudoActivity", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1815 
1816  SCIP_CALL( SCIPnlrowGetPseudoActivity(nlrow, scip->set, scip->stat, pseudoactivity) );
1817 
1818  return SCIP_OKAY;
1819 }
1820 
1821 /** gives the feasibility of a nonlinear row for the current pseudo solution: negative value means infeasibility
1822  *
1823  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1824  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1825  *
1826  * @pre This method can be called if SCIP is in one of the following stages:
1827  * - \ref SCIP_STAGE_INITSOLVE
1828  * - \ref SCIP_STAGE_SOLVING
1829  */
1831  SCIP* scip, /**< SCIP data structure */
1832  SCIP_NLROW* nlrow, /**< NLP nonlinear row */
1833  SCIP_Real* pseudofeasibility /**< pointer to store pseudo feasibility value */
1834  )
1835 {
1836  SCIP_CALL( SCIPcheckStage(scip, "SCIPgetNlRowPseudoFeasibility", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1837 
1838  SCIP_CALL( SCIPnlrowGetPseudoFeasibility(nlrow, scip->set, scip->stat, pseudofeasibility) );
1839 
1840  return SCIP_OKAY;
1841 }
1842 
1843 /** recalculates the activity of a nonlinear row in the last NLP or pseudo solution
1844  *
1845  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1846  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1847  *
1848  * @pre This method can be called if SCIP is in one of the following stages:
1849  * - \ref SCIP_STAGE_INITSOLVE
1850  * - \ref SCIP_STAGE_SOLVING
1851  */
1853  SCIP* scip, /**< SCIP data structure */
1854  SCIP_NLROW* nlrow /**< NLP nonlinear row */
1855  )
1856 {
1857  SCIP_CALL( SCIPcheckStage(scip, "SCIPrecalcNlRowActivity", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1858 
1859  if( scip->nlp != NULL && SCIPnlpHasCurrentNodeNLP(scip->nlp) && SCIPnlpHasSolution(scip->nlp) )
1860  {
1861  SCIP_CALL( SCIPnlrowRecalcNLPActivity(nlrow, scip->set, scip->stat, scip->nlp) );
1862  }
1863  else
1864  {
1865  SCIP_CALL( SCIPnlrowRecalcPseudoActivity(nlrow, scip->set, scip->stat) );
1866  }
1867 
1868  return SCIP_OKAY;
1869 }
1870 
1871 /** gives the activity of a nonlinear row in the last NLP or pseudo solution
1872  *
1873  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1874  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1875  *
1876  * @pre This method can be called if SCIP is in one of the following stages:
1877  * - \ref SCIP_STAGE_INITSOLVE
1878  * - \ref SCIP_STAGE_SOLVING
1879  */
1881  SCIP* scip, /**< SCIP data structure */
1882  SCIP_NLROW* nlrow, /**< NLP nonlinear row */
1883  SCIP_Real* activity /**< pointer to store activity value */
1884  )
1885 {
1886  SCIP_CALL( SCIPcheckStage(scip, "SCIPgetNlRowActivity", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1887 
1888  if( scip->nlp != NULL && SCIPnlpHasCurrentNodeNLP(scip->nlp) && SCIPnlpHasSolution(scip->nlp) )
1889  {
1890  SCIP_CALL( SCIPnlrowGetNLPActivity(nlrow, scip->set, scip->stat, scip->nlp, activity) );
1891  }
1892  else
1893  {
1894  SCIP_CALL( SCIPnlrowGetPseudoActivity(nlrow, scip->set, scip->stat, activity) );
1895  }
1896 
1897  return SCIP_OKAY;
1898 }
1899 
1900 /** gives the feasibility of a nonlinear row in the last NLP or pseudo solution
1901  *
1902  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1903  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1904  *
1905  * @pre This method can be called if SCIP is in one of the following stages:
1906  * - \ref SCIP_STAGE_INITSOLVE
1907  * - \ref SCIP_STAGE_SOLVING
1908  */
1910  SCIP* scip, /**< SCIP data structure */
1911  SCIP_NLROW* nlrow, /**< NLP nonlinear row */
1912  SCIP_Real* feasibility /**< pointer to store feasibility value */
1913  )
1914 {
1915  SCIP_CALL( SCIPcheckStage(scip, "SCIPgetNlRowFeasibility", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1916 
1917  if( scip->nlp != NULL && SCIPnlpHasCurrentNodeNLP(scip->nlp) && SCIPnlpHasSolution(scip->nlp) )
1918  {
1919  SCIP_CALL( SCIPnlrowGetNLPFeasibility(nlrow, scip->set, scip->stat, scip->nlp, feasibility) );
1920  }
1921  else
1922  {
1923  SCIP_CALL( SCIPnlrowGetPseudoFeasibility(nlrow, scip->set, scip->stat, feasibility) );
1924  }
1925 
1926  return SCIP_OKAY;
1927 }
1928 
1929 /** gives the activity of a nonlinear row for the given primal solution or NLP solution or pseudo solution
1930  *
1931  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1932  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1933  *
1934  * @pre This method can be called if SCIP is in one of the following stages:
1935  * - \ref SCIP_STAGE_INITSOLVE
1936  * - \ref SCIP_STAGE_SOLVING
1937  */
1939  SCIP* scip, /**< SCIP data structure */
1940  SCIP_NLROW* nlrow, /**< NLP nonlinear row */
1941  SCIP_SOL* sol, /**< primal CIP solution, or NULL for NLP solution of pseudo solution */
1942  SCIP_Real* activity /**< pointer to store activity value */
1943  )
1944 {
1945  SCIP_CALL( SCIPcheckStage(scip, "SCIPgetNlRowSolActivity", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1946 
1947  if( sol != NULL )
1948  {
1949  SCIP_CALL( SCIPnlrowGetSolActivity(nlrow, scip->set, scip->stat, sol, activity) );
1950  }
1951  else if( scip->nlp != NULL && SCIPnlpHasCurrentNodeNLP(scip->nlp) && SCIPnlpHasSolution(scip->nlp) )
1952  {
1953  SCIP_CALL( SCIPnlrowGetNLPActivity(nlrow, scip->set, scip->stat, scip->nlp, activity) );
1954  }
1955  else
1956  {
1957  SCIP_CALL( SCIPnlrowGetPseudoActivity(nlrow, scip->set, scip->stat, activity) );
1958  }
1959 
1960  return SCIP_OKAY;
1961 }
1962 
1963 /** gives the feasibility of a nonlinear row for the given primal solution
1964  *
1965  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1966  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
1967  *
1968  * @pre This method can be called if SCIP is in one of the following stages:
1969  * - \ref SCIP_STAGE_INITSOLVE
1970  * - \ref SCIP_STAGE_SOLVING
1971  */
1973  SCIP* scip, /**< SCIP data structure */
1974  SCIP_NLROW* nlrow, /**< NLP nonlinear row */
1975  SCIP_SOL* sol, /**< primal CIP solution */
1976  SCIP_Real* feasibility /**< pointer to store feasibility value */
1977  )
1978 {
1979  SCIP_CALL( SCIPcheckStage(scip, "SCIPgetNlRowSolFeasibility", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1980 
1981  if( sol != NULL )
1982  {
1983  SCIP_CALL( SCIPnlrowGetSolFeasibility(nlrow, scip->set, scip->stat, sol, feasibility) );
1984  }
1985  else if( scip->nlp != NULL && SCIPnlpHasCurrentNodeNLP(scip->nlp) && SCIPnlpHasSolution(scip->nlp) )
1986  {
1987  SCIP_CALL( SCIPnlrowGetNLPFeasibility(nlrow, scip->set, scip->stat, scip->nlp, feasibility) );
1988  }
1989  else
1990  {
1991  SCIP_CALL( SCIPnlrowGetPseudoFeasibility(nlrow, scip->set, scip->stat, feasibility) );
1992  }
1993 
1994  return SCIP_OKAY;
1995 }
1996 
1997 /** gives the minimal and maximal activity of a nonlinear row w.r.t. the variable's bounds
1998  *
1999  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
2000  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
2001  *
2002  * @pre This method can be called if SCIP is in one of the following stages:
2003  * - \ref SCIP_STAGE_PRESOLVED
2004  * - \ref SCIP_STAGE_INITSOLVE
2005  * - \ref SCIP_STAGE_SOLVING
2006  */
2008  SCIP* scip, /**< SCIP data structure */
2009  SCIP_NLROW* nlrow, /**< NLP row */
2010  SCIP_Real* minactivity, /**< buffer to store minimal activity, or NULL */
2011  SCIP_Real* maxactivity /**< buffer to store maximal activity, or NULL */
2012  )
2013 {
2014  SCIP_CALL( SCIPcheckStage(scip, "SCIPgetNlRowActivityBounds", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
2015 
2016  SCIP_CALL( SCIPnlrowGetActivityBounds(nlrow, scip->set, scip->stat, minactivity, maxactivity) );
2017 
2018  return SCIP_OKAY;
2019 }
2020 
2021 /** output nonlinear row to file stream
2022  *
2023  * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
2024  * SCIP_Retcode "SCIP_RETCODE" for a complete list of error codes.
2025  *
2026  * @pre This method can be called if SCIP is in one of the following stages:
2027  * - \ref SCIP_STAGE_PRESOLVED
2028  * - \ref SCIP_STAGE_INITSOLVE
2029  * - \ref SCIP_STAGE_SOLVING
2030  */
2032  SCIP* scip, /**< SCIP data structure */
2033  SCIP_NLROW* nlrow, /**< NLP row */
2034  FILE* file /**< output file (or NULL for standard output) */
2035  )
2036 {
2037  assert(nlrow != NULL);
2038 
2039  SCIP_CALL( SCIPcheckStage(scip, "SCIPprintNlRow", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
2040 
2041  SCIP_CALL( SCIPnlrowPrint(nlrow, scip->messagehdlr, file) );
2042 
2043  return SCIP_OKAY;
2044 }
SCIP_RETCODE SCIPnlpSetRealPar(SCIP_NLP *nlp, SCIP_NLPPARAM type, SCIP_Real dval)
Definition: nlp.c:6103
SCIP_STAT * stat
Definition: struct_scip.h:70
SCIP_RETCODE SCIPnlrowGetPseudoFeasibility(SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_Real *pseudofeasibility)
Definition: nlp.c:3060
enum SCIP_NlpTermStat SCIP_NLPTERMSTAT
Definition: type_nlpi.h:84
SCIP_RETCODE SCIPnlrowPrint(SCIP_NLROW *nlrow, SCIP_MESSAGEHDLR *messagehdlr, FILE *file)
Definition: nlp.c:2296
SCIP_Real SCIPgetNLPObjval(SCIP *scip)
Definition: scip_nlp.c:690
SCIP_RETCODE SCIPsolveDiveNLP(SCIP *scip)
Definition: scip_nlp.c:1160
SCIP_RETCODE SCIPnlrowChgRhs(SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_Real rhs)
Definition: nlp.c:2819
SCIP_Real * SCIPnlpGetVarsLbDualsol(SCIP_NLP *nlp)
Definition: nlp.c:5936
SCIP_RETCODE SCIPaddQuadVarsToNlRow(SCIP *scip, SCIP_NLROW *nlrow, int nvars, SCIP_VAR **vars)
Definition: scip_nlp.c:1507
public methods for SCIP parameter handling
SCIP_RETCODE SCIPaddLinearCoefsToNlRow(SCIP *scip, SCIP_NLROW *nlrow, int nvars, SCIP_VAR **vars, SCIP_Real *vals)
Definition: scip_nlp.c:1417
SCIP_NLPI * SCIPsetFindNlpi(SCIP_SET *set, const char *name)
Definition: set.c:5006
SCIP_RETCODE SCIPgetNLPNlRowsData(SCIP *scip, SCIP_NLROW ***nlrows, int *nnlrows)
Definition: scip_nlp.c:389
public methods for memory management
SCIP_RETCODE SCIPnlrowAddQuadElement(SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_QUADELEM elem)
Definition: nlp.c:2614
void SCIPnlrowCapture(SCIP_NLROW *nlrow)
Definition: nlp.c:2351
SCIP_NLPI ** SCIPgetNlpis(SCIP *scip)
Definition: scip_nlp.c:119
SCIP_PARAMDATA * SCIPparamGetData(SCIP_PARAM *param)
Definition: paramset.c:670
#define SCIP_MAXSTRLEN
Definition: def.h:273
SCIP_RETCODE SCIPprintNlRow(SCIP *scip, SCIP_NLROW *nlrow, FILE *file)
Definition: scip_nlp.c:2031
SCIP_RETCODE SCIPcreateNlRow(SCIP *scip, SCIP_NLROW **nlrow, const char *name, SCIP_Real constant, int nlinvars, SCIP_VAR **linvars, SCIP_Real *lincoefs, int nquadvars, SCIP_VAR **quadvars, int nquadelems, SCIP_QUADELEM *quadelems, SCIP_EXPRTREE *expression, SCIP_Real lhs, SCIP_Real rhs, SCIP_EXPRCURV curvature)
Definition: scip_nlp.c:1194
SCIP_RETCODE SCIPnlrowRelease(SCIP_NLROW **nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set)
Definition: nlp.c:2363
struct SCIP_ParamData SCIP_PARAMDATA
Definition: type_paramset.h:77
SCIP_RETCODE SCIPflushNLP(SCIP *scip)
Definition: scip_nlp.c:511
SCIP_Bool SCIPisNLPEnabled(SCIP *scip)
Definition: scip_nlp.c:172
internal methods for NLPI solver interfaces
SCIP_RETCODE SCIPgetNLPStatistics(SCIP *scip, SCIP_NLPSTATISTICS *statistics)
Definition: scip_nlp.c:666
SCIP_RETCODE SCIPnlrowEnsureQuadVarsSize(SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, int num)
Definition: nlp.c:2531
SCIP_RETCODE SCIPcreateNlRowFromRow(SCIP *scip, SCIP_NLROW **nlrow, SCIP_ROW *row)
Definition: scip_nlp.c:1256
SCIP_RETCODE SCIPnlpGetStatistics(SCIP_NLP *nlp, SCIP_NLPSTATISTICS *statistics)
Definition: nlp.c:6026
SCIP_RETCODE SCIPchgNlRowQuadElement(SCIP *scip, SCIP_NLROW *nlrow, SCIP_QUADELEM quadelement)
Definition: scip_nlp.c:1608
#define FALSE
Definition: def.h:73
SCIP_RETCODE SCIPnlpSolveDive(SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_MESSAGEHDLR *messagehdlr, SCIP_STAT *stat)
Definition: nlp.c:6387
SCIP_RETCODE SCIPnlpGetVarsNonlinearity(SCIP_NLP *nlp, int *nlcount)
Definition: nlp.c:5837
SCIP_RETCODE SCIPaddQuadElementToNlRow(SCIP *scip, SCIP_NLROW *nlrow, SCIP_QUADELEM quadelem)
Definition: scip_nlp.c:1541
#define TRUE
Definition: def.h:72
SCIP_RETCODE SCIPnlrowEnsureQuadElementsSize(SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, int num)
Definition: nlp.c:2590
enum SCIP_Retcode SCIP_RETCODE
Definition: type_retcode.h:54
SCIP_RETCODE SCIPgetNLPVarsNonlinearity(SCIP *scip, int *nlcount)
Definition: scip_nlp.c:321
SCIP_RETCODE SCIPnlpChgVarsBoundsDive(SCIP_NLP *nlp, SCIP_SET *set, int nvars, SCIP_VAR **vars, SCIP_Real *lbs, SCIP_Real *ubs)
Definition: nlp.c:6335
int SCIPnlpiGetPriority(SCIP_NLPI *nlpi)
Definition: nlpi.c:765
SCIP_RETCODE SCIPgetNlRowPseudoActivity(SCIP *scip, SCIP_NLROW *nlrow, SCIP_Real *pseudoactivity)
Definition: scip_nlp.c:1808
SCIP_NLPTERMSTAT SCIPnlpGetTermstat(SCIP_NLP *nlp)
Definition: nlp.c:6016
SCIP_RETCODE SCIPrecalcNlRowNLPActivity(SCIP *scip, SCIP_NLROW *nlrow)
Definition: scip_nlp.c:1704
SCIP_RETCODE SCIPsetIncludeNlpi(SCIP_SET *set, SCIP_NLPI *nlpi)
Definition: set.c:4983
SCIP_RETCODE SCIPchgVarsBoundsDiveNLP(SCIP *scip, int nvars, SCIP_VAR **vars, SCIP_Real *lbs, SCIP_Real *ubs)
Definition: scip_nlp.c:1130
SCIP_RETCODE SCIPnlrowChgExprtreeParams(SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_Real *paramvals)
Definition: nlp.c:2757
SCIP_RETCODE SCIPgetNlRowActivityBounds(SCIP *scip, SCIP_NLROW *nlrow, SCIP_Real *minactivity, SCIP_Real *maxactivity)
Definition: scip_nlp.c:2007
SCIP_RETCODE SCIPaddQuadElementsToNlRow(SCIP *scip, SCIP_NLROW *nlrow, int nquadelems, SCIP_QUADELEM *quadelems)
Definition: scip_nlp.c:1570
enum SCIP_NlpParam SCIP_NLPPARAM
Definition: type_nlpi.h:56
SCIP_PROB * transprob
Definition: struct_scip.h:89
SCIP_RETCODE SCIPgetNlRowActivity(SCIP *scip, SCIP_NLROW *nlrow, SCIP_Real *activity)
Definition: scip_nlp.c:1880
SCIP_RETCODE SCIPrecalcNlRowActivity(SCIP *scip, SCIP_NLROW *nlrow)
Definition: scip_nlp.c:1852
SCIP_RETCODE SCIPnlpGetIntPar(SCIP_NLP *nlp, SCIP_NLPPARAM type, int *ival)
Definition: nlp.c:6053
#define SCIPfreeBufferArray(scip, ptr)
Definition: scip_mem.h:123
SCIP_RETCODE SCIPstartDiveNLP(SCIP *scip)
Definition: scip_nlp.c:1015
SCIP_RETCODE SCIPnlrowChgQuadElem(SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_QUADELEM elem)
Definition: nlp.c:2663
SCIP_RETCODE SCIPwriteNLP(SCIP *scip, const char *filename)
Definition: scip_nlp.c:938
SCIP_RETCODE SCIPnlrowChgLhs(SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_Real lhs)
Definition: nlp.c:2799
SCIP_RETCODE SCIPnlrowGetNLPFeasibility(SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_Real *feasibility)
Definition: nlp.c:2959
SCIP_RETCODE SCIPgetNLPFracVars(SCIP *scip, SCIP_VAR ***fracvars, SCIP_Real **fracvarssol, SCIP_Real **fracvarsfrac, int *nfracvars, int *npriofracvars)
Definition: scip_nlp.c:739
SCIP_RETCODE SCIPnlpDelNlRow(SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_NLROW *nlrow)
Definition: nlp.c:5519
SCIP_RETCODE SCIPsolveNLP(SCIP *scip)
Definition: scip_nlp.c:596
int SCIPnlrowGetNQuadVars(SCIP_NLROW *nlrow)
Definition: nlp.c:3282
SCIP_RETCODE SCIPcaptureNlRow(SCIP *scip, SCIP_NLROW *nlrow)
Definition: scip_nlp.c:1279
SCIP_NLPI ** nlpis
Definition: struct_set.h:89
SCIP_RETCODE SCIPnlpiSetMessageHdlr(SCIP_NLPI *nlpi, SCIP_MESSAGEHDLR *messagehdlr)
Definition: nlpi.c:722
SCIP_RETCODE SCIPnlrowAddQuadVar(SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_VAR *var)
Definition: nlp.c:2555
SCIP_RETCODE SCIPnlpStartDive(SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set)
Definition: nlp.c:6156
SCIP_RETCODE SCIPreleaseNlRow(SCIP *scip, SCIP_NLROW **nlrow)
Definition: scip_nlp.c:1302
SCIP_Bool SCIPnlpHasContinuousNonlinearity(SCIP_NLP *nlp)
Definition: nlp.c:5898
SCIP_Real coef
Definition: type_expr.h:104
public methods for handling parameter settings
SCIP_MEM * mem
Definition: struct_scip.h:62
SCIP_Bool SCIPhasNLPSolution(SCIP *scip)
Definition: scip_nlp.c:714
SCIP_RETCODE SCIPendDiveNLP(SCIP *scip)
Definition: scip_nlp.c:1043
SCIP_NLROW ** SCIPgetNLPNlRows(SCIP *scip)
Definition: scip_nlp.c:417
void SCIPsetSetPriorityNlpi(SCIP_SET *set, SCIP_NLPI *nlpi, int priority)
Definition: set.c:5040
SCIP_NLPI * SCIPfindNlpi(SCIP *scip, const char *name)
Definition: scip_nlp.c:106
#define SCIPerrorMessage
Definition: pub_message.h:55
SCIP_RETCODE SCIPgetNLPVarsData(SCIP *scip, SCIP_VAR ***vars, int *nvars)
Definition: scip_nlp.c:247
SCIP_RETCODE SCIPnlrowChgLinearCoef(SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_VAR *var, SCIP_Real coef)
Definition: nlp.c:2493
enum SCIP_NlpSolStat SCIP_NLPSOLSTAT
Definition: type_nlpi.h:69
SCIP_RETCODE SCIPnlpGetRealPar(SCIP_NLP *nlp, SCIP_NLPPARAM type, SCIP_Real *dval)
Definition: nlp.c:6086
SCIP_RETCODE SCIPnlrowGetPseudoActivity(SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_Real *pseudoactivity)
Definition: nlp.c:3034
SCIP_RETCODE SCIPcheckStage(SCIP *scip, const char *method, SCIP_Bool init, SCIP_Bool problem, SCIP_Bool transforming, SCIP_Bool transformed, SCIP_Bool initpresolve, SCIP_Bool presolving, SCIP_Bool exitpresolve, SCIP_Bool presolved, SCIP_Bool initsolve, SCIP_Bool solving, SCIP_Bool solved, SCIP_Bool exitsolve, SCIP_Bool freetrans, SCIP_Bool freescip)
Definition: debug.c:2025
BMS_BLKMEM * SCIPblkmem(SCIP *scip)
Definition: scip_mem.c:48
int SCIPnlpGetNNlRows(SCIP_NLP *nlp)
Definition: nlp.c:5966
SCIP_Real SCIPnlpGetObjval(SCIP_NLP *nlp)
Definition: nlp.c:5614
SCIP_NLROW ** SCIPnlpGetNlRows(SCIP_NLP *nlp)
Definition: nlp.c:5956
SCIP_RETCODE SCIPnlrowGetSolFeasibility(SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_SOL *sol, SCIP_Real *feasibility)
Definition: nlp.c:3165
SCIP_RETCODE SCIPgetNlRowFeasibility(SCIP *scip, SCIP_NLROW *nlrow, SCIP_Real *feasibility)
Definition: scip_nlp.c:1909
SCIP_RETCODE SCIPgetNLPIntPar(SCIP *scip, SCIP_NLPPARAM type, int *ival)
Definition: scip_nlp.c:770
internal methods for NLP management
int SCIPnlrowGetNQuadElems(SCIP_NLROW *nlrow)
Definition: nlp.c:3329
SCIP_RETCODE SCIPnlpSetIntPar(SCIP_NLP *nlp, SCIP_NLPPARAM type, int ival)
Definition: nlp.c:6070
#define NULL
Definition: lpi_spx1.cpp:155
SCIP_RETCODE SCIPchgVarObjDiveNLP(SCIP *scip, SCIP_VAR *var, SCIP_Real coef)
Definition: scip_nlp.c:1069
internal methods for global SCIP settings
#define SCIP_CALL(x)
Definition: def.h:364
SCIP main data structure.
int SCIPgetNNLPNlRows(SCIP *scip)
Definition: scip_nlp.c:439
SCIP_RETCODE SCIPsetNlRowExprtreeParam(SCIP *scip, SCIP_NLROW *nlrow, int paramidx, SCIP_Real paramval)
Definition: scip_nlp.c:1657
SCIP_RETCODE SCIPgetNlRowNLPActivity(SCIP *scip, SCIP_NLROW *nlrow, SCIP_Real *activity)
Definition: scip_nlp.c:1731
SCIP_RETCODE SCIPchgNlRowLinearCoef(SCIP *scip, SCIP_NLROW *nlrow, SCIP_VAR *var, SCIP_Real coef)
Definition: scip_nlp.c:1454
SCIP_RETCODE SCIPnlpSetInitialGuess(SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_Real *initguess)
Definition: nlp.c:5733
SCIP_RETCODE SCIPnlrowCreateFromRow(SCIP_NLROW **nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_ROW *row)
Definition: nlp.c:2191
SCIP_Real * SCIPgetNLPVarsLbDualsol(SCIP *scip)
Definition: scip_nlp.c:345
SCIP_RETCODE SCIPnlpChgVarObjDive(SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_VAR *var, SCIP_Real coef)
Definition: nlp.c:6247
SCIP_RETCODE SCIPnlrowChgConstant(SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_Real constant)
Definition: nlp.c:2779
SCIP_RETCODE SCIPincludeNlpi(SCIP *scip, SCIP_NLPI *nlpi)
Definition: scip_nlp.c:70
SCIP_RETCODE SCIPnlpChgVarBoundsDive(SCIP_NLP *nlp, SCIP_VAR *var, SCIP_Real lb, SCIP_Real ub)
Definition: nlp.c:6307
SCIP_RETCODE SCIPnlrowChgExprtreeParam(SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, int paramidx, SCIP_Real paramval)
Definition: nlp.c:2734
SCIP_RETCODE SCIPsetNLPIntPar(SCIP *scip, SCIP_NLPPARAM type, int ival)
Definition: scip_nlp.c:798
public methods for NLP management
SCIP_Bool SCIPhasNLPContinuousNonlinearity(SCIP *scip)
Definition: scip_nlp.c:225
SCIP_RETCODE SCIPaddLinearCoefToNlRow(SCIP *scip, SCIP_NLROW *nlrow, SCIP_VAR *var, SCIP_Real val)
Definition: scip_nlp.c:1393
SCIP_Real * SCIPgetNLPVarsUbDualsol(SCIP *scip)
Definition: scip_nlp.c:367
SCIP_RETCODE SCIPnlpWrite(SCIP_NLP *nlp, SCIP_SET *set, SCIP_MESSAGEHDLR *messagehdlr, const char *fname)
Definition: nlp.c:5766
#define SCIPallocBufferArray(scip, ptr, num)
Definition: scip_mem.h:111
public data structures and miscellaneous methods
SCIP_RETCODE SCIPnlpEndDive(SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set)
Definition: nlp.c:6186
#define SCIP_Bool
Definition: def.h:70
SCIP_RETCODE SCIPgetNlRowSolFeasibility(SCIP *scip, SCIP_NLROW *nlrow, SCIP_SOL *sol, SCIP_Real *feasibility)
Definition: scip_nlp.c:1972
SCIP_Bool SCIPnlpHasCurrentNodeNLP(SCIP_NLP *nlp)
Definition: nlp.c:5309
SCIP_VAR ** SCIPgetNLPVars(SCIP *scip)
Definition: scip_nlp.c:277
SCIP_Bool SCIPisNLPConstructed(SCIP *scip)
Definition: scip_nlp.c:210
static const char * paramname[]
Definition: lpi_msk.c:4958
SCIP_NLPSOLSTAT SCIPnlpGetSolstat(SCIP_NLP *nlp)
Definition: nlp.c:6006
int SCIPgetNNlpis(SCIP *scip)
Definition: scip_nlp.c:132
SCIP_RETCODE SCIPsetNlpiPriority(SCIP *scip, SCIP_NLPI *nlpi, int priority)
Definition: scip_nlp.c:143
SCIP_RETCODE SCIPnlrowCreate(SCIP_NLROW **nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, const char *name, SCIP_Real constant, int nlinvars, SCIP_VAR **linvars, SCIP_Real *lincoefs, int nquadvars, SCIP_VAR **quadvars, int nquadelems, SCIP_QUADELEM *quadelems, SCIP_EXPRTREE *exprtree, SCIP_Real lhs, SCIP_Real rhs, SCIP_EXPRCURV curvature)
Definition: nlp.c:2007
SCIP_RETCODE SCIPnlpAddNlRow(SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLROW *nlrow)
Definition: nlp.c:5467
SCIP_NLPSOLSTAT SCIPgetNLPSolstat(SCIP *scip)
Definition: scip_nlp.c:619
SCIP_RETCODE SCIPnlpFlush(SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set)
Definition: nlp.c:5550
SCIP_RETCODE SCIPdelNlRow(SCIP *scip, SCIP_NLROW *nlrow)
Definition: scip_nlp.c:487
void SCIPsetSortNlpis(SCIP_SET *set)
Definition: set.c:5026
methods for debugging
datastructures for block memory pools and memory buffers
SCIP_RETCODE SCIPnlrowGetNLPActivity(SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_Real *activity)
Definition: nlp.c:2932
SCIP_RETCODE SCIPnlrowChgExprtree(SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_EXPRTREE *exprtree)
Definition: nlp.c:2695
SCIP_RETCODE SCIPgetNLPStringPar(SCIP *scip, SCIP_NLPPARAM type, const char **sval)
Definition: scip_nlp.c:882
SCIP_RETCODE SCIPgetNlRowNLPFeasibility(SCIP *scip, SCIP_NLROW *nlrow, SCIP_Real *feasibility)
Definition: scip_nlp.c:1759
int SCIPnlpGetNVars(SCIP_NLP *nlp)
Definition: nlp.c:5827
SCIP_RETCODE SCIPnlrowGetActivityBounds(SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_Real *minactivity, SCIP_Real *maxactivity)
Definition: nlp.c:3186
SCIP_RETCODE SCIPnlpGetFracVars(SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_VAR ***fracvars, SCIP_Real **fracvarssol, SCIP_Real **fracvarsfrac, int *nfracvars, int *npriofracvars)
Definition: nlp.c:5653
SCIP_RETCODE SCIPgetNlRowPseudoFeasibility(SCIP *scip, SCIP_NLROW *nlrow, SCIP_Real *pseudofeasibility)
Definition: scip_nlp.c:1830
SCIP_RETCODE SCIPnlrowGetSolActivity(SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_SOL *sol, SCIP_Real *activity)
Definition: nlp.c:3080
SCIP * scip
Definition: struct_var.h:278
SCIP_RETCODE SCIPchgNlRowRhs(SCIP *scip, SCIP_NLROW *nlrow, SCIP_Real rhs)
Definition: scip_nlp.c:1347
SCIP_RETCODE SCIPnlpSolve(SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_MESSAGEHDLR *messagehdlr, SCIP_STAT *stat)
Definition: nlp.c:5587
int SCIPparamGetInt(SCIP_PARAM *param)
Definition: paramset.c:725
public methods for nonlinear relaxations
datastructures for storing and manipulating the main problem
SCIP_RETCODE SCIPgetSolVals(SCIP *scip, SCIP_SOL *sol, int nvars, SCIP_VAR **vars, SCIP_Real *vals)
Definition: scip_sol.c:1390
SCIP_NLPTERMSTAT SCIPgetNLPTermstat(SCIP *scip)
Definition: scip_nlp.c:641
enum SCIP_ExprCurv SCIP_EXPRCURV
Definition: type_expr.h:95
SCIP_RETCODE SCIPnlrowAddLinearCoef(SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_VAR *var, SCIP_Real val)
Definition: nlp.c:2412
BMS_BLKMEM * probmem
Definition: struct_mem.h:40
SCIP_Bool nlpenabled
Definition: struct_prob.h:80
SCIP_NLPIPROBLEM * SCIPnlpGetNLPIProblem(SCIP_NLP *nlp)
Definition: nlp.c:5986
public methods for solutions
SCIP_RETCODE SCIPchgVarBoundsDiveNLP(SCIP *scip, SCIP_VAR *var, SCIP_Real lb, SCIP_Real ub)
Definition: scip_nlp.c:1099
SCIP_RETCODE SCIPcreateEmptyNlRow(SCIP *scip, SCIP_NLROW **nlrow, const char *name, SCIP_Real lhs, SCIP_Real rhs)
Definition: scip_nlp.c:1230
static SCIP_DECL_PARAMCHGD(paramChgdNlpiPriority)
Definition: scip_nlp.c:57
SCIP_RETCODE SCIPsetNLPStringPar(SCIP *scip, SCIP_NLPPARAM type, const char *sval)
Definition: scip_nlp.c:910
void SCIPenableNLP(SCIP *scip)
Definition: scip_nlp.c:195
SCIP_SET * set
Definition: struct_scip.h:63
SCIP_RETCODE SCIPsetNLPRealPar(SCIP *scip, SCIP_NLPPARAM type, SCIP_Real dval)
Definition: scip_nlp.c:854
SCIP_RETCODE SCIPnlrowRecalcNLPActivity(SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp)
Definition: nlp.c:2855
public methods for message output
SCIP_RETCODE SCIPchgNlRowLhs(SCIP *scip, SCIP_NLROW *nlrow, SCIP_Real lhs)
Definition: scip_nlp.c:1324
SCIP_RETCODE SCIPrecalcNlRowPseudoActivity(SCIP *scip, SCIP_NLROW *nlrow)
Definition: scip_nlp.c:1787
int SCIPsnprintf(char *t, int len, const char *s,...)
Definition: misc.c:10590
SCIP_RETCODE SCIPaddIntParam(SCIP *scip, const char *name, const char *desc, int *valueptr, SCIP_Bool isadvanced, int defaultvalue, int minvalue, int maxvalue, SCIP_DECL_PARAMCHGD((*paramchgd)), SCIP_PARAMDATA *paramdata)
Definition: scip_param.c:74
datastructures for problem variables
SCIP_RETCODE SCIPaddQuadVarToNlRow(SCIP *scip, SCIP_NLROW *nlrow, SCIP_VAR *var)
Definition: scip_nlp.c:1482
SCIP_MESSAGEHDLR * messagehdlr
Definition: struct_scip.h:66
#define SCIP_Real
Definition: def.h:163
SCIP_NLP * nlp
Definition: struct_scip.h:83
#define SCIP_INVALID
Definition: def.h:183
int nnlpis
Definition: struct_set.h:130
SCIP_NLPI * SCIPnlpGetNLPI(SCIP_NLP *nlp)
Definition: nlp.c:5976
SCIP_RETCODE SCIPaddNlRow(SCIP *scip, SCIP_NLROW *nlrow)
Definition: scip_nlp.c:461
SCIP_RETCODE SCIPnlpSetStringPar(SCIP_NLP *nlp, SCIP_NLPPARAM type, const char *sval)
Definition: nlp.c:6136
SCIP_VAR ** SCIPnlpGetVars(SCIP_NLP *nlp)
Definition: nlp.c:5817
SCIP_RETCODE SCIPgetNLPI(SCIP *scip, SCIP_NLPI **nlpi, SCIP_NLPIPROBLEM **nlpiproblem)
Definition: scip_nlp.c:975
SCIP_RETCODE SCIPnlpGetStringPar(SCIP_NLP *nlp, SCIP_NLPPARAM type, const char **sval)
Definition: nlp.c:6119
SCIP_RETCODE SCIPgetNLPRealPar(SCIP *scip, SCIP_NLPPARAM type, SCIP_Real *dval)
Definition: scip_nlp.c:826
SCIP_RETCODE SCIPsetNLPInitialGuess(SCIP *scip, SCIP_Real *initialguess)
Definition: scip_nlp.c:537
SCIP_Real * SCIPnlpGetVarsUbDualsol(SCIP_NLP *nlp)
Definition: nlp.c:5946
#define SCIP_CALL_ABORT(x)
Definition: def.h:343
SCIP_RETCODE SCIPsetNlRowExprtree(SCIP *scip, SCIP_NLROW *nlrow, SCIP_EXPRTREE *exprtree)
Definition: scip_nlp.c:1631
#define SCIPABORT()
Definition: def.h:336
SCIP_RETCODE SCIPnlrowRecalcPseudoActivity(SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat)
Definition: nlp.c:2979
SCIP_Bool SCIPnlpHasSolution(SCIP_NLP *nlp)
Definition: nlp.c:6043
datastructures for global SCIP settings
SCIP_RETCODE SCIPsetNlRowExprtreeParams(SCIP *scip, SCIP_NLROW *nlrow, SCIP_Real *paramvals)
Definition: scip_nlp.c:1681
SCIP_RETCODE SCIPchgNlRowConstant(SCIP *scip, SCIP_NLROW *nlrow, SCIP_Real constant)
Definition: scip_nlp.c:1370
SCIP_RETCODE SCIPsetNLPInitialGuessSol(SCIP *scip, SCIP_SOL *sol)
Definition: scip_nlp.c:564
void SCIPnlrowSetCurvature(SCIP_NLROW *nlrow, SCIP_EXPRCURV curvature)
Definition: nlp.c:3409
SCIP_RETCODE SCIPgetNlRowSolActivity(SCIP *scip, SCIP_NLROW *nlrow, SCIP_SOL *sol, SCIP_Real *activity)
Definition: scip_nlp.c:1938
int SCIPgetNNLPVars(SCIP *scip)
Definition: scip_nlp.c:299
const char * SCIPnlpiGetName(SCIP_NLPI *nlpi)
Definition: nlpi.c:745
memory allocation routines