Scippy

SCIP

Solving Constraint Integer Programs

sepastore.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) 2002-2024 Zuse Institute Berlin (ZIB) */
7/* */
8/* Licensed under the Apache License, Version 2.0 (the "License"); */
9/* you may not use this file except in compliance with the License. */
10/* You may obtain a copy of the License at */
11/* */
12/* http://www.apache.org/licenses/LICENSE-2.0 */
13/* */
14/* Unless required by applicable law or agreed to in writing, software */
15/* distributed under the License is distributed on an "AS IS" BASIS, */
16/* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. */
17/* See the License for the specific language governing permissions and */
18/* limitations under the License. */
19/* */
20/* You should have received a copy of the Apache-2.0 license */
21/* along with SCIP; see the file LICENSE. If not visit scipopt.org. */
22/* */
23/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
24
25/**@file sepastore.c
26 * @ingroup OTHER_CFILES
27 * @brief methods for storing separated cuts
28 * @author Tobias Achterberg
29 * @author Marc Pfetsch
30 * @author Leona Gottwald
31 */
32
33/*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
34
35#include <assert.h>
36
37#include "scip/def.h"
38#include "scip/set.h"
39#include "scip/stat.h"
40#include "scip/lp.h"
41#include "scip/var.h"
42#include "scip/tree.h"
43#include "scip/reopt.h"
44#include "scip/sepastore.h"
45#include "scip/event.h"
46#include "scip/sepa.h"
47#include "scip/cons.h"
48#include "scip/debug.h"
49#include "scip/scip.h"
50#include "scip/cuts.h"
51#include "scip/cutsel.h"
52#include "scip/struct_event.h"
54#include "scip/misc.h"
55
56
57
58/*
59 * dynamic memory arrays
60 */
61
62/** resizes cuts and score arrays to be able to store at least num entries */
63static
65 SCIP_SEPASTORE* sepastore, /**< separation storage */
66 SCIP_SET* set, /**< global SCIP settings */
67 int num /**< minimal number of slots in array */
68 )
69{
70 assert(sepastore != NULL);
71 assert(set != NULL);
72
73 if( num > sepastore->cutssize )
74 {
75 int newsize;
76
77 newsize = SCIPsetCalcMemGrowSize(set, num);
78 SCIP_ALLOC( BMSreallocMemoryArray(&sepastore->cuts, newsize) );
79 sepastore->cutssize = newsize;
80 }
81 assert(num <= sepastore->cutssize);
82
83 return SCIP_OKAY;
84}
85
86/** creates separation storage */
88 SCIP_SEPASTORE** sepastore, /**< pointer to store separation storage */
89 BMS_BLKMEM* blkmem, /**< block memory */
90 SCIP_SET* set /**< global SCIP settings */
91 )
92{
93 assert(sepastore != NULL);
94
95 SCIP_ALLOC( BMSallocMemory(sepastore) );
96
97 (*sepastore)->cuts = NULL;
98 (*sepastore)->cutssize = 0;
99 (*sepastore)->ncuts = 0;
100 (*sepastore)->nforcedcuts = 0;
101 (*sepastore)->ncutsadded = 0;
102 (*sepastore)->ncutsaddedviapool = 0;
103 (*sepastore)->ncutsaddeddirect = 0;
104 (*sepastore)->ncutsfoundround = 0;
105 (*sepastore)->ncutsapplied = 0;
106 (*sepastore)->initiallp = FALSE;
107 (*sepastore)->forcecuts = FALSE;
108
109 SCIP_CALL( SCIPrandomCreate(&(*sepastore)->randnumgen, blkmem, SCIPsetInitializeRandomSeed(set, 0x5EED)) );
110
111 return SCIP_OKAY;
112}
113
114/** frees separation storage */
116 SCIP_SEPASTORE** sepastore, /**< pointer to store separation storage */
117 BMS_BLKMEM* blkmem /**< block memory */
118 )
119{
120 assert(sepastore != NULL);
121 assert(*sepastore != NULL);
122 assert((*sepastore)->ncuts == 0);
123
124 SCIPrandomFree(&(*sepastore)->randnumgen, blkmem);
125 BMSfreeMemoryArrayNull(&(*sepastore)->cuts);
126 BMSfreeMemory(sepastore);
127
128 return SCIP_OKAY;
129}
130
131/** informs separation storage that the setup of the initial LP starts now */
133 SCIP_SEPASTORE* sepastore /**< separation storage */
134 )
135{
136 assert(sepastore != NULL);
137 assert(!sepastore->initiallp);
138 assert(sepastore->ncuts == 0);
139
140 sepastore->initiallp = TRUE;
141}
142
143/** informs separation storage that the setup of the initial LP is now finished */
145 SCIP_SEPASTORE* sepastore /**< separation storage */
146 )
147{
148 assert(sepastore != NULL);
149 assert(sepastore->initiallp);
150 assert(sepastore->ncuts == 0);
151
152 sepastore->initiallp = FALSE;
153}
154
155/** informs separation storage that the following cuts should be used in any case */
157 SCIP_SEPASTORE* sepastore /**< separation storage */
158 )
159{
160 assert(sepastore != NULL);
161 assert(!sepastore->forcecuts);
162
163 sepastore->forcecuts = TRUE;
164}
165
166/** informs separation storage that the following cuts should no longer be used in any case */
168 SCIP_SEPASTORE* sepastore /**< separation storage */
169 )
170{
171 assert(sepastore != NULL);
172 assert(sepastore->forcecuts);
173
174 sepastore->forcecuts = FALSE;
175}
176
177/** checks cut for redundancy due to activity bounds */
178static
180 SCIP_SEPASTORE* sepastore, /**< separation storage */
181 SCIP_SET* set, /**< global SCIP settings */
182 SCIP_STAT* stat, /**< problem statistics data */
183 SCIP_ROW* cut /**< separated cut */
184 )
185{
186 SCIP_Real minactivity;
187 SCIP_Real maxactivity;
188 SCIP_Real lhs;
189 SCIP_Real rhs;
190
191 assert(sepastore != NULL);
192 assert(cut != NULL);
193
194 /* modifiable cuts cannot be declared redundant, since we don't know all coefficients */
195 if( SCIProwIsModifiable(cut) )
196 return FALSE;
197
198 /* check for activity redundancy */
199 lhs = SCIProwGetLhs(cut);
200 rhs = SCIProwGetRhs(cut);
201 minactivity = SCIProwGetMinActivity(cut, set, stat);
202 maxactivity = SCIProwGetMaxActivity(cut, set, stat);
203
204 if( (SCIPsetIsInfinity(set, -lhs) || SCIPsetIsLE(set, lhs, minactivity)) &&
205 (SCIPsetIsInfinity(set, rhs) || SCIPsetIsLE(set, maxactivity, rhs)) )
206 {
207 SCIPsetDebugMsg(set, "ignoring activity redundant cut <%s> (sides=[%g,%g], act=[%g,%g])\n",
208 SCIProwGetName(cut), lhs, rhs, minactivity, maxactivity);
209 /*SCIPdebug(SCIProwPrint(cut, set->scip->messagehdlr, NULL));*/
210 return TRUE;
211 }
212
213 return FALSE;
214}
215
216/** checks cut for redundancy or infeasibility due to activity bounds */
217static
219 SCIP_SEPASTORE* sepastore, /**< separation storage */
220 SCIP_SET* set, /**< global SCIP settings */
221 SCIP_STAT* stat, /**< problem statistics data */
222 SCIP_ROW* cut, /**< separated cut */
223 SCIP_Bool* infeasible /**< pointer to store whether the cut has been detected to be infeasible */
224 )
225{
226 SCIP_Real minactivity;
227 SCIP_Real maxactivity;
228 SCIP_Real lhs;
229 SCIP_Real rhs;
230
231 assert(sepastore != NULL);
232 assert(cut != NULL);
233 assert(infeasible != NULL);
234
235 *infeasible = FALSE;
236
237 /* modifiable cuts cannot be declared redundant or infeasible, since we don't know all coefficients */
238 if( SCIProwIsModifiable(cut) )
239 return FALSE;
240
241 /* check for activity redundancy */
242 lhs = SCIProwGetLhs(cut);
243 rhs = SCIProwGetRhs(cut);
244 minactivity = SCIProwGetMinActivity(cut, set, stat);
245 maxactivity = SCIProwGetMaxActivity(cut, set, stat);
246
247 if( (SCIPsetIsInfinity(set, -lhs) || SCIPsetIsLE(set, lhs, minactivity)) &&
248 (SCIPsetIsInfinity(set, rhs) || SCIPsetIsLE(set, maxactivity, rhs)) )
249 {
250 SCIPsetDebugMsg(set, "ignoring activity redundant cut <%s> (sides=[%g,%g], act=[%g,%g])\n",
251 SCIProwGetName(cut), lhs, rhs, minactivity, maxactivity);
252 /*SCIPdebug(SCIProwPrint(cut, set->scip->messagehdlr, NULL));*/
253 return TRUE;
254 }
255
256 if( (!SCIPsetIsInfinity(set, rhs) && SCIPsetIsFeasPositive(set, minactivity - rhs)) ||
257 (!SCIPsetIsInfinity(set, -lhs) && SCIPsetIsFeasNegative(set, maxactivity - lhs)) )
258 {
259 SCIPsetDebugMsg(set, "cut <%s> is infeasible (sides=[%g,%g], act=[%g,%g])\n",
260 SCIProwGetName(cut), lhs, rhs, minactivity, maxactivity);
261 /*SCIPdebug(SCIProwPrint(cut, set->scip->messagehdlr, NULL));*/
262 *infeasible = TRUE;
263 return TRUE;
264 }
265
266 return FALSE;
267}
268
269/** checks whether a cut with only one variable can be applied as boundchange
270 *
271 * This is the case if the bound change would prove infeasibility (w.r.t feastol), or if the new bound is at least
272 * epsilon better than the old bound. In the latter case, also the opposite bound has to be taken into account.
273 */
274static
276 SCIP_SET* set, /**< global SCIP settings */
277 SCIP_ROW* cut /**< cut with a single variable */
278 )
279{
280 SCIP_COL** cols;
281 SCIP_Real* vals;
282 SCIP_VAR* var;
283 SCIP_Real lhs;
284 SCIP_Real rhs;
285 SCIP_Bool local;
286 SCIP_Real oldlb;
287 SCIP_Real oldub;
288
289 assert(set != NULL);
290 assert(cut != NULL);
291 assert(!SCIProwIsModifiable(cut));
292 assert(SCIProwGetNNonz(cut) == 1);
293
294 /* get the single variable and its coefficient of the cut */
295 cols = SCIProwGetCols(cut);
296 assert(cols != NULL);
297
298 var = SCIPcolGetVar(cols[0]);
299 vals = SCIProwGetVals(cut);
300 assert(vals != NULL);
301 assert(!SCIPsetIsZero(set, vals[0]));
302
303 /* if the coefficient is nearly zero, we better ignore this cut for numerical reasons */
304 if( SCIPsetIsFeasZero(set, vals[0]) )
305 return FALSE;
306
307 local = SCIProwIsLocal(cut);
308
309 oldlb = local ? SCIPvarGetLbLocal(var) : SCIPvarGetLbGlobal(var);
310 oldub = local ? SCIPvarGetUbLocal(var) : SCIPvarGetUbGlobal(var);
311
312 /* get the left hand side of the cut and convert it to a bound */
313 lhs = SCIProwGetLhs(cut);
314 if( !SCIPsetIsInfinity(set, -lhs) )
315 {
316 lhs -= SCIProwGetConstant(cut);
317 if( vals[0] > 0.0 )
318 {
319 /* coefficient is positive -> lhs corresponds to lower bound */
320 SCIP_Real newlb;
321
322 newlb = lhs/vals[0];
323 SCIPvarAdjustLb(var, set, &newlb);
324
325 /* bound changes that improve the bound sufficiently are applicable */
326 if( SCIPsetIsFeasGT(set, newlb, oldub) || SCIPsetIsGT(set, MIN(newlb, oldub), oldlb) )
327 return TRUE;
328 }
329 else
330 {
331 /* coefficient is negative -> lhs corresponds to upper bound */
332 SCIP_Real newub;
333
334 newub = lhs/vals[0];
335 SCIPvarAdjustUb(var, set, &newub);
336
337 /* bound changes that improve the bound sufficiently are applicable */
338 if( SCIPsetIsFeasLT(set, newub, oldlb) || SCIPsetIsLT(set, MAX(newub, oldlb), oldub) )
339 return TRUE;
340 }
341 }
342
343 /* get the right hand side of the cut and convert it to a bound */
344 rhs = SCIProwGetRhs(cut);
345 if( !SCIPsetIsInfinity(set, rhs) )
346 {
347 rhs -= SCIProwGetConstant(cut);
348 if( vals[0] > 0.0 )
349 {
350 /* coefficient is positive -> rhs corresponds to upper bound */
351 SCIP_Real newub;
352
353 newub = rhs/vals[0];
354 SCIPvarAdjustUb(var, set, &newub);
355
356 /* bound changes that improve the bound sufficiently are applicable */
357 if( SCIPsetIsFeasLT(set, newub, oldlb) || SCIPsetIsLT(set, MAX(newub, oldlb), oldub) )
358 return TRUE;
359 }
360 else
361 {
362 /* coefficient is negative -> rhs corresponds to lower bound */
363 SCIP_Real newlb;
364
365 newlb = rhs/vals[0];
366 SCIPvarAdjustLb(var, set, &newlb);
367
368 /* bound changes that improve the bound sufficiently are applicable */
369 if( SCIPsetIsFeasGT(set, newlb, oldub) || SCIPsetIsGT(set, MIN(newlb, oldub), oldlb) )
370 return TRUE;
371 }
372 }
373
374 return FALSE;
375}
376
377/** removes a non-forced cut from the separation storage */
378static
380 SCIP_SEPASTORE* sepastore, /**< separation storage */
381 BMS_BLKMEM* blkmem, /**< block memory */
382 SCIP_SET* set, /**< global SCIP settings */
383 SCIP_EVENTQUEUE* eventqueue, /**< event queue */
384 SCIP_EVENTFILTER* eventfilter, /**< event filter for global events */
385 SCIP_LP* lp, /**< LP data */
386 int pos /**< position of cut to delete */
387 )
388{
389 assert(sepastore != NULL);
390 assert(sepastore->cuts != NULL);
391 assert(sepastore->nforcedcuts <= pos && pos < sepastore->ncuts);
392
393 /* check, if the row deletions from separation storage events are tracked if so, issue ROWDELETEDSEPA event */
394 if( eventfilter->len > 0 && (eventfilter->eventmask & SCIP_EVENTTYPE_ROWDELETEDSEPA) != 0 )
395 {
396 SCIP_EVENT* event;
397
398 SCIP_CALL( SCIPeventCreateRowDeletedSepa(&event, blkmem, sepastore->cuts[pos]) );
399 SCIP_CALL( SCIPeventqueueAdd(eventqueue, blkmem, set, NULL, NULL, NULL, eventfilter, &event) );
400 }
401
402 /* release the row */
403 if( !sepastore->initiallp )
404 {
405 sepastore->ncutsadded--;
406 if( sepastore->cuts[pos]->fromcutpool )
407 sepastore->ncutsaddedviapool--;
408 else
409 sepastore->ncutsaddeddirect--;
410
412 {
413 SCIP_SEPA* sepa;
414 sepa = SCIProwGetOriginSepa(sepastore->cuts[pos]);
415 SCIPsepaDecNCutsAdded(sepa, sepastore->cuts[pos]->fromcutpool);
416 }
417 }
418 SCIP_CALL( SCIProwRelease(&sepastore->cuts[pos], blkmem, set, lp) );
419
420 /* move last cut to the empty position */
421 sepastore->cuts[pos] = sepastore->cuts[sepastore->ncuts-1];
422 sepastore->ncuts--;
423
424 return SCIP_OKAY;
425}
426
427/** adds cut to separation storage and captures it */
429 SCIP_SEPASTORE* sepastore, /**< separation storage */
430 BMS_BLKMEM* blkmem, /**< block memory */
431 SCIP_SET* set, /**< global SCIP settings */
432 SCIP_STAT* stat, /**< problem statistics data */
433 SCIP_EVENTQUEUE* eventqueue, /**< event queue */
434 SCIP_EVENTFILTER* eventfilter, /**< event filter for global events */
435 SCIP_LP* lp, /**< LP data */
436 SCIP_ROW* cut, /**< separated cut */
437 SCIP_Bool forcecut, /**< should the cut be forced to enter the LP? */
438 SCIP_Bool root, /**< are we at the root node? */
439 SCIP_Bool* infeasible /**< pointer to store whether the cut is infeasible */
440 )
441{
442 SCIP_Bool redundant;
443 int pos;
444
445 assert(sepastore != NULL);
446 assert(sepastore->nforcedcuts <= sepastore->ncuts);
447 assert(set != NULL);
448 assert(cut != NULL);
450 assert(eventqueue != NULL);
451 assert(eventfilter != NULL);
452
453 /* debug: check cut for feasibility */
454 SCIP_CALL( SCIPdebugCheckRow(set, cut) ); /*lint !e506 !e774*/
455
456 /* the cut will be forced to enter the LP if the dual must be collected and the initial LP is being constructed */
457 forcecut = forcecut || (set->lp_alwaysgetduals && sepastore->initiallp);
458
459 /* in the root node, every local cut is a global cut, and global cuts are nicer in many ways ... */
460 if( root && SCIProwIsLocal(cut) )
461 {
462 SCIPsetDebugMsg(set, "change local flag of cut <%s> to FALSE due to addition in root node\n", SCIProwGetName(cut));
463
465
466 assert(!SCIProwIsLocal(cut));
467 }
468
469 /* check cut for redundancy or infeasibility */
470 redundant = sepastoreIsCutRedundantOrInfeasible(sepastore, set, stat, cut, infeasible);
471 /* Note that we add infeasible rows in any case, since we cannot be sure whether the return values are handled
472 * correctly. In this way, the LP becomes infeasible. */
473
474 /* in each separation round, make sure that at least one (even redundant) cut enters the LP to avoid cycling */
475 if( !forcecut && sepastore->ncuts > 0 && redundant )
476 return SCIP_OKAY;
477
478 /* if only one cut is currently present in sepastore, it could be redundant; in this case, it can now be removed
479 * again, because now a non redundant cut enters the sepastore */
480 if( sepastore->ncuts == 1 && sepastoreIsCutRedundant(sepastore, set, stat, sepastore->cuts[0]) )
481 {
482 /* check, if the row deletions from separation storage events are tracked if so, issue ROWDELETEDSEPA event */
483 if( eventfilter->len > 0 && (eventfilter->eventmask & SCIP_EVENTTYPE_ROWDELETEDSEPA) != 0 )
484 {
485 SCIP_EVENT* event;
486
487 SCIP_CALL( SCIPeventCreateRowDeletedSepa(&event, blkmem, sepastore->cuts[0]) );
488 SCIP_CALL( SCIPeventqueueAdd(eventqueue, blkmem, set, NULL, NULL, NULL, eventfilter, &event) );
489 }
490 /* update statistics of total number of found cuts */
491 if( !sepastore->initiallp )
492 {
493 sepastore->ncutsadded--;
494 if( sepastore->cuts[0]->fromcutpool )
495 sepastore->ncutsaddedviapool--;
496 else
497 sepastore->ncutsaddeddirect--;
498
500 {
501 SCIP_SEPA* sepa;
502 sepa = SCIProwGetOriginSepa(sepastore->cuts[0]);
503 SCIPsepaDecNCutsAdded(sepa, sepastore->cuts[0]->fromcutpool);
504 }
505 }
506
507 SCIP_CALL( SCIProwRelease(&sepastore->cuts[0], blkmem, set, lp) );
508 sepastore->ncuts = 0;
509 sepastore->nforcedcuts = 0;
510 }
511
512 /* a cut is forced to enter the LP if
513 * - we construct the initial LP, or
514 * - it has infinite score factor, or
515 * - it is a bound change that can be applied
516 * if it is a non-forced cut and no cuts should be added, abort
517 */
518 forcecut = forcecut || sepastore->initiallp || sepastore->forcecuts || (!SCIProwIsModifiable(cut) && SCIProwGetNNonz(cut) == 1 && sepastoreIsBdchgApplicable(set, cut));
519 if( !forcecut && SCIPsetGetSepaMaxcuts(set, root) == 0 )
520 return SCIP_OKAY;
521
522 /* get enough memory to store the cut */
523 SCIP_CALL( sepastoreEnsureCutsMem(sepastore, set, sepastore->ncuts+1) );
524 assert(sepastore->ncuts < sepastore->cutssize);
525
526 SCIPsetDebugMsg(set, "adding cut <%s> to separation storage of size %d (forcecut=%u, len=%d)\n",
527 SCIProwGetName(cut), sepastore->ncuts, forcecut, SCIProwGetNNonz(cut));
528 /*SCIP_CALL( SCIPprintRow(set->scip, cut, NULL) );*/
529
530 /* capture the cut */
531 SCIProwCapture(cut);
532
533 /* add cut to arrays */
534 if( forcecut )
535 {
536 /* make room at the beginning of the array for forced cut */
537 pos = sepastore->nforcedcuts;
538 sepastore->cuts[sepastore->ncuts] = sepastore->cuts[pos];
539 sepastore->nforcedcuts++;
540 }
541 else
542 pos = sepastore->ncuts;
543
544 sepastore->cuts[pos] = cut;
545
546 /* update statistics of total number of found cuts */
547 if( !sepastore->initiallp )
548 {
549 sepastore->ncutsadded++;
550 sepastore->ncutsfoundround++;
551 if( cut->fromcutpool )
552 sepastore->ncutsaddedviapool++;
553 else
554 sepastore->ncutsaddeddirect++;
555
557 {
558 SCIP_SEPA* sepa;
559
560 sepa = SCIProwGetOriginSepa(cut);
562 }
563 }
564 sepastore->ncuts++;
565
566 /* check, if the row addition to separation storage events are tracked if so, issue ROWADDEDSEPA event */
567 if( eventfilter->len > 0 && (eventfilter->eventmask & SCIP_EVENTTYPE_ROWADDEDSEPA) != 0 )
568 {
569 SCIP_EVENT* event;
570
571 SCIP_CALL( SCIPeventCreateRowAddedSepa(&event, blkmem, cut) );
572 SCIP_CALL( SCIPeventqueueAdd(eventqueue, blkmem, set, NULL, NULL, NULL, eventfilter, &event) );
573 }
574
575 /* If the duals need to be collected, then the infeasible flag is set to FALSE. This ensures that the LP is solved */
576 if( set->lp_alwaysgetduals && sepastore->initiallp )
577 (*infeasible) = FALSE;
578
579 return SCIP_OKAY;
580}
581
582/** applies a lower bound change */
583static
585 SCIP_SEPASTORE* sepastore, /**< separation storage */
586 BMS_BLKMEM* blkmem, /**< block memory */
587 SCIP_SET* set, /**< global SCIP settings */
588 SCIP_STAT* stat, /**< problem statistics */
589 SCIP_PROB* transprob, /**< transformed problem */
590 SCIP_PROB* origprob, /**< original problem */
591 SCIP_TREE* tree, /**< branch and bound tree */
592 SCIP_REOPT* reopt, /**< reoptimization data structure */
593 SCIP_LP* lp, /**< LP data */
594 SCIP_BRANCHCAND* branchcand, /**< branching candidate storage */
595 SCIP_EVENTQUEUE* eventqueue, /**< event queue */
596 SCIP_CLIQUETABLE* cliquetable, /**< clique table data structure */
597 SCIP_VAR* var, /**< problem variable */
598 SCIP_Real bound, /**< new lower bound of variable */
599 SCIP_Bool local, /**< is it a local bound change? (otherwise global) */
600 SCIP_Bool* applied, /**< pointer to store whether the domain change was applied */
601 SCIP_Bool* cutoff /**< pointer to store TRUE, if an infeasibility has been detected */
602 )
603{
604 assert(sepastore != NULL);
605 assert(cutoff != NULL);
606 assert(applied != NULL);
607
608 /* adjust bound to the one that would be applied, so the SCIPsetIsGT check below is more reliable */
609 SCIPvarAdjustLb(var, set, &bound);
610
611 if( local )
612 {
613 /* apply the local bound change or detect a cutoff */
615 {
616 SCIPsetDebugMsg(set, " -> applying bound change: <%s>: [%.15g,%.15g] -> [%.15g,%.15g]\n",
618
619 /* changing the lower bound to a value >= SCIPinfinity should result in a cutoff,
620 * since "infinite" values in solutions are reserved for another meaning
621 */
623 {
624 SCIP_CALL( SCIPnodeAddBoundchg(SCIPtreeGetCurrentNode(tree), blkmem, set, stat, transprob, origprob, tree,
625 reopt, lp, branchcand, eventqueue, cliquetable, var, bound, SCIP_BOUNDTYPE_LOWER, FALSE) );
626 }
627 else
628 *cutoff = TRUE;
629
630 *applied = TRUE;
631 }
632 else
633 {
634 SCIPsetDebugMsg(set, " -> ignoring bound change: <%s>: [%.15g,%.15g] -> [%.15g,%.15g]\n",
636 }
637 }
638 else
639 {
640 /* apply the global bound change or detect a global cutoff which means we can cutoff the root node */
642 {
643 SCIPsetDebugMsg(set, " -> applying global bound change: <%s>: [%.15g,%.15g] -> [%.15g,%.15g]\n",
645
646 /* changing the lower bound to a value >= SCIPinfinity should result in a cutoff,
647 * since "infinite" values in solutions are reserved for another meaning
648 */
650 {
651 SCIP_CALL( SCIPnodeAddBoundchg(SCIPtreeGetRootNode(tree), blkmem, set, stat, transprob, origprob, tree, reopt,
652 lp, branchcand, eventqueue, cliquetable, var, bound, SCIP_BOUNDTYPE_LOWER, FALSE) );
653 }
654 else
655 {
656 /* we are done with solving since a global bound change is infeasible */
657 SCIP_CALL( SCIPnodeCutoff(SCIPtreeGetRootNode(tree), set, stat, tree, transprob, origprob, reopt, lp, blkmem) );
658 *cutoff = TRUE;
659 }
660
661 *applied = TRUE;
662 }
663 else
664 {
665 SCIPsetDebugMsg(set, " -> ignoring global bound change: <%s>: [%.15g,%.15g] -> [%.15g,%.15g]\n",
667 }
668 }
669
670 return SCIP_OKAY;
671}
672
673/** applies an upper bound change */
674static
676 SCIP_SEPASTORE* sepastore, /**< separation storage */
677 BMS_BLKMEM* blkmem, /**< block memory */
678 SCIP_SET* set, /**< global SCIP settings */
679 SCIP_STAT* stat, /**< problem statistics */
680 SCIP_PROB* transprob, /**< transformed problem */
681 SCIP_PROB* origprob, /**< original problem */
682 SCIP_TREE* tree, /**< branch and bound tree */
683 SCIP_REOPT* reopt, /**< reoptimization data structure */
684 SCIP_LP* lp, /**< LP data */
685 SCIP_BRANCHCAND* branchcand, /**< branching candidate storage */
686 SCIP_EVENTQUEUE* eventqueue, /**< event queue */
687 SCIP_CLIQUETABLE* cliquetable, /**< clique table data structure */
688 SCIP_VAR* var, /**< problem variable */
689 SCIP_Real bound, /**< new upper bound of variable */
690 SCIP_Bool local, /**< is it a local bound change? (otherwise global) */
691 SCIP_Bool* applied, /**< pointer to store whether the domain change was applied */
692 SCIP_Bool* cutoff /**< pointer to store TRUE, if an infeasibility has been detected */
693 )
694{
695 assert(sepastore != NULL);
696 assert(cutoff != NULL);
697 assert(applied != NULL);
698
699 /* adjust bound to the one that would be applied, so the SCIPsetIsGT check below is more reliable */
700 SCIPvarAdjustUb(var, set, &bound);
701
702 if( local )
703 {
704 /* apply the local bound change or detect a cutoff */
706 {
707 SCIPsetDebugMsg(set, " -> applying bound change: <%s>: [%.15g,%.15g] -> [%.15g,%.15g]\n",
709
710 /* changing the upper bound to a value <= -SCIPinfinity should result in a cutoff,
711 * since "infinite" values in solutions are reserved for another meaning
712 */
714 {
715 SCIP_CALL( SCIPnodeAddBoundchg(SCIPtreeGetCurrentNode(tree), blkmem, set, stat, transprob, origprob, tree,
716 reopt, lp, branchcand, eventqueue, cliquetable, var, bound, SCIP_BOUNDTYPE_UPPER, FALSE) );
717 }
718 else
719 *cutoff = TRUE;
720
721 *applied = TRUE;
722 }
723 else
724 {
725 SCIPsetDebugMsg(set, " -> ignoring bound change: <%s>: [%.15g,%.15g] -> [%.15g,%.15g]\n",
727 }
728 }
729 else
730 {
731 /* apply the global bound change or detect a global cutoff which means we can cutoff the root node */
733 {
734 SCIPsetDebugMsg(set, " -> applying global bound change: <%s>: [%.15g,%.15g] -> [%.15g,%.15g]\n",
736
737 /* changing the upper bound to a value <= -SCIPinfinity should result in a cutoff,
738 * since "infinite" values in solutions are reserved for another meaning
739 */
741 {
742 SCIP_CALL( SCIPnodeAddBoundchg(SCIPtreeGetRootNode(tree), blkmem, set, stat, transprob, origprob, tree, reopt,
743 lp, branchcand, eventqueue, cliquetable, var, bound, SCIP_BOUNDTYPE_UPPER, FALSE) );
744 }
745 else
746 {
747 /* we are done with solving since a global bound change is infeasible */
748 SCIP_CALL( SCIPnodeCutoff(SCIPtreeGetRootNode(tree), set, stat, tree, transprob, origprob, reopt, lp, blkmem) );
749 *cutoff = TRUE;
750 }
751
752 *applied = TRUE;
753 }
754 else
755 {
756 SCIPsetDebugMsg(set, " -> ignoring global bound change: <%s>: [%.15g,%.15g] -> [%.15g,%.15g]\n",
758 }
759 }
760
761 return SCIP_OKAY;
762}
763
764/** applies a cut that is a bound change directly as bound change instead of adding it as row to the LP */
765static
767 SCIP_SEPASTORE* sepastore, /**< separation storage */
768 BMS_BLKMEM* blkmem, /**< block memory */
769 SCIP_SET* set, /**< global SCIP settings */
770 SCIP_STAT* stat, /**< problem statistics */
771 SCIP_PROB* transprob, /**< transformed problem */
772 SCIP_PROB* origprob, /**< original problem */
773 SCIP_TREE* tree, /**< branch and bound tree */
774 SCIP_REOPT* reopt, /**< reoptimization data structure */
775 SCIP_LP* lp, /**< LP data */
776 SCIP_BRANCHCAND* branchcand, /**< branching candidate storage */
777 SCIP_EVENTQUEUE* eventqueue, /**< event queue */
778 SCIP_CLIQUETABLE* cliquetable, /**< clique table data structure */
779 SCIP_ROW* cut, /**< cut with a single variable */
780 SCIP_Bool* applied, /**< pointer to store whether the domain change was applied */
781 SCIP_Bool* cutoff /**< pointer to store whether an empty domain was created */
782 )
783{
784 SCIP_COL** cols;
785 SCIP_Real* vals;
786 SCIP_VAR* var;
787 SCIP_Real lhs;
788 SCIP_Real rhs;
789 SCIP_Bool local;
790
791 assert(sepastore != NULL);
792 assert(!SCIProwIsModifiable(cut));
793 assert(SCIProwGetNNonz(cut) == 1);
794 assert(cutoff != NULL);
795 assert(applied != NULL);
796
797 *applied = FALSE;
798 *cutoff = FALSE;
799
800 /* get the single variable and its coefficient of the cut */
801 cols = SCIProwGetCols(cut);
802 assert(cols != NULL);
803
804 var = SCIPcolGetVar(cols[0]);
805 vals = SCIProwGetVals(cut);
806 assert(vals != NULL);
807 assert(!SCIPsetIsZero(set, vals[0]));
808
809 /* if the coefficient is nearly zero, we better ignore this cut for numerical reasons */
810 if( SCIPsetIsFeasZero(set, vals[0]) )
811 return SCIP_OKAY;
812
813 local = SCIProwIsLocal(cut);
814
815 /* get the left hand side of the cut and convert it to a bound */
816 lhs = SCIProwGetLhs(cut);
817 if( !SCIPsetIsInfinity(set, -lhs) )
818 {
819 lhs -= SCIProwGetConstant(cut);
820 if( vals[0] > 0.0 )
821 {
822 /* coefficient is positive -> lhs corresponds to lower bound */
823 SCIP_CALL( sepastoreApplyLb(sepastore, blkmem, set, stat, transprob, origprob, tree, reopt, lp, branchcand, eventqueue,
824 cliquetable, var, lhs/vals[0], local, applied, cutoff) );
825 }
826 else
827 {
828 /* coefficient is negative -> lhs corresponds to upper bound */
829 SCIP_CALL( sepastoreApplyUb(sepastore, blkmem, set, stat, transprob, origprob, tree, reopt, lp, branchcand, eventqueue,
830 cliquetable, var, lhs/vals[0], local, applied, cutoff) );
831 }
832 }
833
834 /* get the right hand side of the cut and convert it to a bound */
835 rhs = SCIProwGetRhs(cut);
836 if( !SCIPsetIsInfinity(set, rhs) )
837 {
838 rhs -= SCIProwGetConstant(cut);
839 if( vals[0] > 0.0 )
840 {
841 /* coefficient is positive -> rhs corresponds to upper bound */
842 SCIP_CALL( sepastoreApplyUb(sepastore, blkmem, set, stat, transprob, origprob, tree, reopt, lp, branchcand, eventqueue,
843 cliquetable, var, rhs/vals[0], local, applied, cutoff) );
844 }
845 else
846 {
847 /* coefficient is negative -> rhs corresponds to lower bound */
848 SCIP_CALL( sepastoreApplyLb(sepastore, blkmem, set, stat, transprob, origprob, tree, reopt, lp, branchcand, eventqueue,
849 cliquetable, var, rhs/vals[0], local, applied, cutoff) );
850 }
851 }
852
853 /* count the bound change as applied cut */
854 if( *applied && !sepastore->initiallp )
855 sepastore->ncutsapplied++;
856
857 return SCIP_OKAY;
858}
859
860/** applies the given cut to the LP and updates the orthogonalities and scores of remaining cuts */
861static
863 SCIP_SEPASTORE* sepastore, /**< separation storage */
864 BMS_BLKMEM* blkmem, /**< block memory */
865 SCIP_SET* set, /**< global SCIP settings */
866 SCIP_EVENTQUEUE* eventqueue, /**< event queue */
867 SCIP_EVENTFILTER* eventfilter, /**< global event filter */
868 SCIP_LP* lp, /**< LP data */
869 SCIP_ROW* cut, /**< cut to apply to the LP */
870 int depth, /**< depth of current node */
871 int* ncutsapplied /**< pointer to count the number of applied cuts */
872 )
873{
874 assert(sepastore != NULL);
875 assert(ncutsapplied != NULL);
876
877 /* a row could have been added twice to the separation store; add it only once! */
878 if( !SCIProwIsInLP(cut) )
879 {
880 /* add cut to the LP and capture it */
881 SCIP_CALL( SCIPlpAddRow(lp, blkmem, set, eventqueue, eventfilter, cut, depth) );
882
883 /* update statistics -> only if we are not in the initial lp (cuts are only counted if added during run) */
884 if( !sepastore->initiallp )
885 {
886 sepastore->ncutsapplied++;
887
888 /* increase count of applied cuts for origins of row */
889 /* TODO: adjust conshdlr statistics to mirror cut statistics */
890 switch ( (SCIP_ROWORIGINTYPE) cut->origintype )
891 {
893 assert( cut->origin != NULL );
895 break;
897 assert( cut->origin != NULL );
899 break;
901 assert( cut->origin != NULL );
903 break;
906 /* do nothing - cannot update statistics */
907 break;
908 default:
909 SCIPerrorMessage("unknown type of row origin.\n");
910 return SCIP_INVALIDDATA;
911 }
912 }
913
914 (*ncutsapplied)++;
915 }
916
917 return SCIP_OKAY;
918}
919
920/** adds cuts to the LP and clears separation storage */
922 SCIP_SEPASTORE* sepastore, /**< separation storage */
923 BMS_BLKMEM* blkmem, /**< block memory */
924 SCIP_SET* set, /**< global SCIP settings */
925 SCIP_STAT* stat, /**< problem statistics */
926 SCIP_PROB* transprob, /**< transformed problem */
927 SCIP_PROB* origprob, /**< original problem */
928 SCIP_TREE* tree, /**< branch and bound tree */
929 SCIP_REOPT* reopt, /**< reoptimization data structure */
930 SCIP_LP* lp, /**< LP data */
931 SCIP_BRANCHCAND* branchcand, /**< branching candidate storage */
932 SCIP_EVENTQUEUE* eventqueue, /**< event queue */
933 SCIP_EVENTFILTER* eventfilter, /**< global event filter */
934 SCIP_CLIQUETABLE* cliquetable, /**< clique table data structure */
935 SCIP_Bool root, /**< are we at the root node? */
936 SCIP_EFFICIACYCHOICE efficiacychoice, /**< type of solution to base efficiacy computation on */
937 SCIP_Bool* cutoff /**< pointer to store whether an empty domain was created */
938 )
939{
940 SCIP_NODE* node;
941 int maxsepacuts;
942 int ncutsapplied;
943 int nselectedcuts;
944 int depth;
945 int i;
946
947 assert(sepastore != NULL);
948 assert(set != NULL);
949 assert(tree != NULL);
950 assert(lp != NULL);
951 assert(cutoff != NULL);
952
953 SCIP_UNUSED(efficiacychoice);
954
955 SCIPsetDebugMsg(set, "selecting from %d cuts\n", sepastore->ncuts);
956
957 /* get maximal number of cuts to add to the LP */
958 maxsepacuts = SCIPsetGetSepaMaxcuts(set, root);
959
960 /* if all cuts are forced cuts, no selection is required */
961 if( sepastore->nforcedcuts >= MIN(sepastore->ncuts, maxsepacuts) )
962 {
963 nselectedcuts = sepastore->nforcedcuts;
964 }
965 else
966 {
967 /* call cut selection algorithms */
968 nselectedcuts = 0;
969 SCIP_CALL( SCIPcutselsSelect(set, sepastore->cuts, sepastore->ncuts, sepastore->nforcedcuts, root, sepastore->initiallp, maxsepacuts,
970 &nselectedcuts) );
971 assert(nselectedcuts + sepastore->nforcedcuts <= maxsepacuts);
972
973 /* note that cut selector statistics are updated here also when in probing mode; this may lead to an offset with
974 * separator/constraint handler statistics */
975 /* @todo do not update cutselector statistics if SCIPtreeProbing(scip->tree) */
976 nselectedcuts += sepastore->nforcedcuts;
977 }
978
979 /*
980 * apply all selected cuts
981 */
982 ncutsapplied = 0;
983 *cutoff = FALSE;
984
985 node = SCIPtreeGetCurrentNode(tree);
986 assert(node != NULL);
987
988 /* get depth of current node */
989 depth = SCIPnodeGetDepth(node);
990
991 for( i = 0; i < nselectedcuts && !(*cutoff); i++ )
992 {
993 SCIP_ROW* cut;
994
995 cut = sepastore->cuts[i];
996
997 if( i < sepastore->nforcedcuts || SCIPsetIsFeasPositive(set, SCIProwGetLPEfficacy(cut, set, stat, lp)) )
998 {
999 SCIP_Bool applied = FALSE;
1000
1001 /* if the cut is a bound change (i.e. a row with only one variable), add it as bound change instead of LP row */
1002 if( !SCIProwIsModifiable(cut) && SCIProwGetNNonz(cut) == 1 )
1003 {
1004 SCIPsetDebugMsg(set, " -> applying forced cut <%s> as boundchange\n", SCIProwGetName(cut));
1005 SCIP_CALL( sepastoreApplyBdchg(sepastore, blkmem, set, stat, transprob, origprob, tree, reopt, lp, branchcand,
1006 eventqueue, cliquetable, cut, &applied, cutoff) );
1007 assert(applied || !sepastoreIsBdchgApplicable(set, cut));
1008 }
1009
1010 if( !applied )
1011 {
1012 /* add cut to the LP and update orthogonalities */
1013 SCIPsetDebugMsg(set, " -> applying%s cut <%s>\n", (i < sepastore->nforcedcuts) ? " forced" : "", SCIProwGetName(cut));
1014 /*SCIPdebug( SCIProwPrint(cut, set->scip->messagehdlr, NULL));*/
1015 SCIP_CALL( sepastoreApplyCut(sepastore, blkmem, set, eventqueue, eventfilter, lp, cut, depth, &ncutsapplied) );
1016 }
1017 }
1018 }
1019
1020 /* clear the separation storage and reset statistics for separation round */
1021 SCIP_CALL( SCIPsepastoreClearCuts(sepastore, blkmem, set, eventqueue, eventfilter, lp) );
1022
1023 return SCIP_OKAY;
1024}
1025
1026/** clears the separation storage without adding the cuts to the LP */
1028 SCIP_SEPASTORE* sepastore, /**< separation storage */
1029 BMS_BLKMEM* blkmem, /**< block memory */
1030 SCIP_SET* set, /**< global SCIP settings */
1031 SCIP_EVENTQUEUE* eventqueue, /**< event queue */
1032 SCIP_EVENTFILTER* eventfilter, /**< event filter for global events */
1033 SCIP_LP* lp /**< LP data */
1034 )
1035{
1036 int c;
1037
1038 assert(sepastore != NULL);
1039
1040 SCIPsetDebugMsg(set, "clearing %d cuts\n", sepastore->ncuts);
1041
1042 /* release cuts */
1043 for( c = 0; c < sepastore->ncuts; ++c )
1044 {
1045 /* check, if the row deletions from separation storage events are tracked if so, issue ROWDELETEDSEPA event */
1046 if( eventfilter->len > 0 && (eventfilter->eventmask & SCIP_EVENTTYPE_ROWDELETEDSEPA) != 0 )
1047 {
1048 SCIP_EVENT* event;
1049
1050 SCIP_CALL( SCIPeventCreateRowDeletedSepa(&event, blkmem, sepastore->cuts[c]) );
1051 SCIP_CALL( SCIPeventqueueAdd(eventqueue, blkmem, set, NULL, NULL, NULL, eventfilter, &event) );
1052 }
1053
1054 SCIP_CALL( SCIProwRelease(&sepastore->cuts[c], blkmem, set, lp) );
1055 }
1056
1057 /* reset counters */
1058 sepastore->ncuts = 0;
1059 sepastore->nforcedcuts = 0;
1060 sepastore->ncutsfoundround = 0;
1061
1062 /* if we have just finished the initial LP construction, free the (potentially large) cuts array */
1063 if( sepastore->initiallp )
1064 {
1065 BMSfreeMemoryArrayNull(&sepastore->cuts);
1066 sepastore->cutssize = 0;
1067 }
1068
1069 return SCIP_OKAY;
1070}
1071
1072/** removes cuts that are inefficacious w.r.t. the current LP solution from separation storage without adding the cuts to the LP */
1074 SCIP_SEPASTORE* sepastore, /**< separation storage */
1075 BMS_BLKMEM* blkmem, /**< block memory */
1076 SCIP_SET* set, /**< global SCIP settings */
1077 SCIP_STAT* stat, /**< problem statistics data */
1078 SCIP_EVENTQUEUE* eventqueue, /**< event queue */
1079 SCIP_EVENTFILTER* eventfilter, /**< event filter for global events */
1080 SCIP_LP* lp, /**< LP data */
1081 SCIP_Bool root, /**< are we at the root node? */
1082 SCIP_EFFICIACYCHOICE efficiacychoice /**< type of solution to base efficiacy computation on */
1083 )
1084{
1085 int cnt = 0;
1086 int c;
1087
1088 assert( sepastore != NULL );
1089
1090 /* check non-forced cuts only */
1091 c = sepastore->nforcedcuts;
1092 while( c < sepastore->ncuts )
1093 {
1094 SCIP_Real cutefficacy;
1095
1096 /* calculate cut's efficacy */
1097 switch ( efficiacychoice )
1098 {
1100 cutefficacy = SCIProwGetLPEfficacy(sepastore->cuts[c], set, stat, lp);
1101 break;
1103 cutefficacy = SCIProwGetRelaxEfficacy(sepastore->cuts[c], set, stat);
1104 break;
1106 cutefficacy = SCIProwGetNLPEfficacy(sepastore->cuts[c], set, stat);
1107 break;
1108 default:
1109 SCIPerrorMessage("Invalid efficiacy choice.\n");
1110 return SCIP_INVALIDCALL;
1111 }
1112
1113 if( !SCIPsetIsEfficacious(set, root, cutefficacy) )
1114 {
1115 SCIP_CALL( sepastoreDelCut(sepastore, blkmem, set, eventqueue, eventfilter, lp, c) );
1116 ++cnt;
1117 }
1118 else
1119 ++c;
1120 }
1121 SCIPsetDebugMsg(set, "removed %d non-efficacious cuts\n", cnt);
1122
1123 return SCIP_OKAY;
1124}
1125
1126/** indicates whether a cut is applicable
1127 *
1128 * A cut is applicable if it is modifiable, not a bound change, or a bound change that changes bounds by at least epsilon.
1129 */
1131 SCIP_SET* set, /**< global SCIP settings */
1132 SCIP_ROW* cut /**< cut to check */
1133 )
1134{
1135 return SCIProwIsModifiable(cut) || SCIProwGetNNonz(cut) != 1 || sepastoreIsBdchgApplicable(set, cut);
1136}
1137
1138/** get cuts in the separation storage */
1140 SCIP_SEPASTORE* sepastore /**< separation storage */
1141 )
1142{
1143 assert(sepastore != NULL);
1144
1145 return sepastore->cuts;
1146}
1147
1148/** get number of cuts in the separation storage */
1150 SCIP_SEPASTORE* sepastore /**< separation storage */
1151 )
1152{
1153 assert(sepastore != NULL);
1154
1155 return sepastore->ncuts;
1156}
1157
1158/** gets the total number of cutting planes added to the separation storage;
1159 * this is equal to the sum of added cuts directly and via the pool. */
1161 SCIP_SEPASTORE* sepastore /**< separation storage */
1162 )
1163{
1164 assert(sepastore != NULL);
1165
1166 return sepastore->ncutsadded;
1167}
1168
1169/** gets the number of cutting planes added to the separation storage from the cut pool */
1171 SCIP_SEPASTORE* sepastore /**< separation storage */
1172 )
1173{
1174 assert(sepastore != NULL);
1175
1176 return sepastore->ncutsaddedviapool;
1177}
1178
1179/** gets the number of cutting planes added to the separation storage directly */
1181 SCIP_SEPASTORE* sepastore /**< separation storage */
1182 )
1183{
1184 assert(sepastore != NULL);
1185
1186 return sepastore->ncutsaddeddirect;
1187}
1188
1189/** get number of cuts found so far in current separation round */
1191 SCIP_SEPASTORE* sepastore /**< separation storage */
1192 )
1193{
1194 assert(sepastore != NULL);
1195
1196 return sepastore->ncutsfoundround;
1197}
1198
1199/** gets the total number of cutting planes applied to the LP */
1201 SCIP_SEPASTORE* sepastore /**< separation storage */
1202 )
1203{
1204 assert(sepastore != NULL);
1205
1206 return sepastore->ncutsapplied;
1207}
static long bound
void SCIPconshdlrIncNAppliedCuts(SCIP_CONSHDLR *conshdlr)
Definition: cons.c:4920
internal methods for constraints and constraint handlers
methods for the aggregation rows
SCIP_RETCODE SCIPcutselsSelect(SCIP_SET *set, SCIP_ROW **cuts, int ncuts, int nforcedcuts, SCIP_Bool root, SCIP_Bool initiallp, int maxnselectedcuts, int *nselectedcuts)
Definition: cutsel.c:169
internal methods for cut selectors
methods for debugging
#define SCIPdebugCheckRow(set, row)
Definition: debug.h:284
common defines and data types used in all packages of SCIP
#define NULL
Definition: def.h:266
#define SCIP_UNUSED(x)
Definition: def.h:427
#define SCIP_Bool
Definition: def.h:91
#define MIN(x, y)
Definition: def.h:242
#define SCIP_ALLOC(x)
Definition: def.h:384
#define SCIP_Real
Definition: def.h:172
#define TRUE
Definition: def.h:93
#define FALSE
Definition: def.h:94
#define MAX(x, y)
Definition: def.h:238
#define SCIP_CALL(x)
Definition: def.h:373
SCIP_RETCODE SCIPeventqueueAdd(SCIP_EVENTQUEUE *eventqueue, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_PRIMAL *primal, SCIP_LP *lp, SCIP_BRANCHCAND *branchcand, SCIP_EVENTFILTER *eventfilter, SCIP_EVENT **event)
Definition: event.c:2240
SCIP_RETCODE SCIPeventCreateRowAddedSepa(SCIP_EVENT **event, BMS_BLKMEM *blkmem, SCIP_ROW *row)
Definition: event.c:856
SCIP_RETCODE SCIPeventCreateRowDeletedSepa(SCIP_EVENT **event, BMS_BLKMEM *blkmem, SCIP_ROW *row)
Definition: event.c:875
internal methods for managing events
SCIP_VAR * SCIPcolGetVar(SCIP_COL *col)
Definition: lp.c:17042
SCIP_CONSHDLR * SCIPconsGetHdlr(SCIP_CONS *cons)
Definition: cons.c:8234
int SCIPnodeGetDepth(SCIP_NODE *node)
Definition: tree.c:7520
SCIP_Real SCIProwGetLhs(SCIP_ROW *row)
Definition: lp.c:17292
SCIP_Bool SCIProwIsModifiable(SCIP_ROW *row)
Definition: lp.c:17411
int SCIProwGetNNonz(SCIP_ROW *row)
Definition: lp.c:17213
SCIP_COL ** SCIProwGetCols(SCIP_ROW *row)
Definition: lp.c:17238
SCIP_Real SCIProwGetRhs(SCIP_ROW *row)
Definition: lp.c:17302
SCIP_Bool SCIProwIsLocal(SCIP_ROW *row)
Definition: lp.c:17401
const char * SCIProwGetName(SCIP_ROW *row)
Definition: lp.c:17351
SCIP_SEPA * SCIProwGetOriginSepa(SCIP_ROW *row)
Definition: lp.c:17476
SCIP_Real SCIProwGetConstant(SCIP_ROW *row)
Definition: lp.c:17258
SCIP_Bool SCIProwIsInLP(SCIP_ROW *row)
Definition: lp.c:17523
SCIP_Real * SCIProwGetVals(SCIP_ROW *row)
Definition: lp.c:17248
SCIP_Real SCIPvarGetUbLocal(SCIP_VAR *var)
Definition: var.c:18143
SCIP_Real SCIPvarGetUbGlobal(SCIP_VAR *var)
Definition: var.c:18087
const char * SCIPvarGetName(SCIP_VAR *var)
Definition: var.c:17418
SCIP_Real SCIPvarGetLbLocal(SCIP_VAR *var)
Definition: var.c:18133
SCIP_Real SCIPvarGetLbGlobal(SCIP_VAR *var)
Definition: var.c:18077
SCIP_Real SCIProwGetRelaxEfficacy(SCIP_ROW *row, SCIP_SET *set, SCIP_STAT *stat)
Definition: lp.c:6924
void SCIProwCapture(SCIP_ROW *row)
Definition: lp.c:5339
SCIP_Real SCIProwGetMaxActivity(SCIP_ROW *row, SCIP_SET *set, SCIP_STAT *stat)
Definition: lp.c:6619
SCIP_Real SCIProwGetNLPEfficacy(SCIP_ROW *row, SCIP_SET *set, SCIP_STAT *stat)
Definition: lp.c:6964
SCIP_RETCODE SCIProwChgLocal(SCIP_ROW *row, SCIP_Bool local)
Definition: lp.c:5730
SCIP_Real SCIProwGetLPEfficacy(SCIP_ROW *row, SCIP_SET *set, SCIP_STAT *stat, SCIP_LP *lp)
Definition: lp.c:6808
SCIP_RETCODE SCIPlpAddRow(SCIP_LP *lp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_EVENTQUEUE *eventqueue, SCIP_EVENTFILTER *eventfilter, SCIP_ROW *row, int depth)
Definition: lp.c:9509
SCIP_Real SCIProwGetMinActivity(SCIP_ROW *row, SCIP_SET *set, SCIP_STAT *stat)
Definition: lp.c:6598
SCIP_RETCODE SCIProwRelease(SCIP_ROW **row, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_LP *lp)
Definition: lp.c:5352
internal methods for LP management
#define BMSfreeMemory(ptr)
Definition: memory.h:145
#define BMSreallocMemoryArray(ptr, num)
Definition: memory.h:127
struct BMS_BlkMem BMS_BLKMEM
Definition: memory.h:437
#define BMSfreeMemoryArrayNull(ptr)
Definition: memory.h:148
#define BMSallocMemory(ptr)
Definition: memory.h:118
void SCIPrandomFree(SCIP_RANDNUMGEN **randnumgen, BMS_BLKMEM *blkmem)
Definition: misc.c:10095
SCIP_RETCODE SCIPrandomCreate(SCIP_RANDNUMGEN **randnumgen, BMS_BLKMEM *blkmem, unsigned int initialseed)
Definition: misc.c:10079
internal miscellaneous methods
#define SCIPerrorMessage
Definition: pub_message.h:64
data structures and methods for collecting reoptimization information
SCIP callable library.
void SCIPsepaDecNCutsAdded(SCIP_SEPA *sepa, SCIP_Bool fromcutpool)
Definition: sepa.c:1016
void SCIPsepaIncNCutsApplied(SCIP_SEPA *sepa, SCIP_Bool fromcutpool)
Definition: sepa.c:971
void SCIPsepaIncNCutsAdded(SCIP_SEPA *sepa, SCIP_Bool fromcutpool)
Definition: sepa.c:993
internal methods for separators
static SCIP_Bool sepastoreIsBdchgApplicable(SCIP_SET *set, SCIP_ROW *cut)
Definition: sepastore.c:275
int SCIPsepastoreGetNCutsFoundRound(SCIP_SEPASTORE *sepastore)
Definition: sepastore.c:1190
void SCIPsepastoreEndInitialLP(SCIP_SEPASTORE *sepastore)
Definition: sepastore.c:144
SCIP_RETCODE SCIPsepastoreCreate(SCIP_SEPASTORE **sepastore, BMS_BLKMEM *blkmem, SCIP_SET *set)
Definition: sepastore.c:87
SCIP_RETCODE SCIPsepastoreClearCuts(SCIP_SEPASTORE *sepastore, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_EVENTQUEUE *eventqueue, SCIP_EVENTFILTER *eventfilter, SCIP_LP *lp)
Definition: sepastore.c:1027
int SCIPsepastoreGetNCutsAddedViaPool(SCIP_SEPASTORE *sepastore)
Definition: sepastore.c:1170
int SCIPsepastoreGetNCuts(SCIP_SEPASTORE *sepastore)
Definition: sepastore.c:1149
static SCIP_RETCODE sepastoreApplyBdchg(SCIP_SEPASTORE *sepastore, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_TREE *tree, SCIP_REOPT *reopt, SCIP_LP *lp, SCIP_BRANCHCAND *branchcand, SCIP_EVENTQUEUE *eventqueue, SCIP_CLIQUETABLE *cliquetable, SCIP_ROW *cut, SCIP_Bool *applied, SCIP_Bool *cutoff)
Definition: sepastore.c:766
SCIP_RETCODE SCIPsepastoreAddCut(SCIP_SEPASTORE *sepastore, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_EVENTQUEUE *eventqueue, SCIP_EVENTFILTER *eventfilter, SCIP_LP *lp, SCIP_ROW *cut, SCIP_Bool forcecut, SCIP_Bool root, SCIP_Bool *infeasible)
Definition: sepastore.c:428
void SCIPsepastoreStartForceCuts(SCIP_SEPASTORE *sepastore)
Definition: sepastore.c:156
void SCIPsepastoreEndForceCuts(SCIP_SEPASTORE *sepastore)
Definition: sepastore.c:167
static SCIP_Bool sepastoreIsCutRedundant(SCIP_SEPASTORE *sepastore, SCIP_SET *set, SCIP_STAT *stat, SCIP_ROW *cut)
Definition: sepastore.c:179
SCIP_RETCODE SCIPsepastoreRemoveInefficaciousCuts(SCIP_SEPASTORE *sepastore, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_EVENTQUEUE *eventqueue, SCIP_EVENTFILTER *eventfilter, SCIP_LP *lp, SCIP_Bool root, SCIP_EFFICIACYCHOICE efficiacychoice)
Definition: sepastore.c:1073
void SCIPsepastoreStartInitialLP(SCIP_SEPASTORE *sepastore)
Definition: sepastore.c:132
static SCIP_RETCODE sepastoreApplyLb(SCIP_SEPASTORE *sepastore, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_TREE *tree, SCIP_REOPT *reopt, SCIP_LP *lp, SCIP_BRANCHCAND *branchcand, SCIP_EVENTQUEUE *eventqueue, SCIP_CLIQUETABLE *cliquetable, SCIP_VAR *var, SCIP_Real bound, SCIP_Bool local, SCIP_Bool *applied, SCIP_Bool *cutoff)
Definition: sepastore.c:584
static SCIP_RETCODE sepastoreApplyCut(SCIP_SEPASTORE *sepastore, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_EVENTQUEUE *eventqueue, SCIP_EVENTFILTER *eventfilter, SCIP_LP *lp, SCIP_ROW *cut, int depth, int *ncutsapplied)
Definition: sepastore.c:862
static SCIP_Bool sepastoreIsCutRedundantOrInfeasible(SCIP_SEPASTORE *sepastore, SCIP_SET *set, SCIP_STAT *stat, SCIP_ROW *cut, SCIP_Bool *infeasible)
Definition: sepastore.c:218
SCIP_RETCODE SCIPsepastoreFree(SCIP_SEPASTORE **sepastore, BMS_BLKMEM *blkmem)
Definition: sepastore.c:115
SCIP_RETCODE SCIPsepastoreApplyCuts(SCIP_SEPASTORE *sepastore, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_TREE *tree, SCIP_REOPT *reopt, SCIP_LP *lp, SCIP_BRANCHCAND *branchcand, SCIP_EVENTQUEUE *eventqueue, SCIP_EVENTFILTER *eventfilter, SCIP_CLIQUETABLE *cliquetable, SCIP_Bool root, SCIP_EFFICIACYCHOICE efficiacychoice, SCIP_Bool *cutoff)
Definition: sepastore.c:921
static SCIP_RETCODE sepastoreDelCut(SCIP_SEPASTORE *sepastore, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_EVENTQUEUE *eventqueue, SCIP_EVENTFILTER *eventfilter, SCIP_LP *lp, int pos)
Definition: sepastore.c:379
int SCIPsepastoreGetNCutsApplied(SCIP_SEPASTORE *sepastore)
Definition: sepastore.c:1200
SCIP_ROW ** SCIPsepastoreGetCuts(SCIP_SEPASTORE *sepastore)
Definition: sepastore.c:1139
int SCIPsepastoreGetNCutsAddedDirect(SCIP_SEPASTORE *sepastore)
Definition: sepastore.c:1180
static SCIP_RETCODE sepastoreEnsureCutsMem(SCIP_SEPASTORE *sepastore, SCIP_SET *set, int num)
Definition: sepastore.c:64
SCIP_Bool SCIPsepastoreIsCutApplicable(SCIP_SET *set, SCIP_ROW *cut)
Definition: sepastore.c:1130
static SCIP_RETCODE sepastoreApplyUb(SCIP_SEPASTORE *sepastore, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_TREE *tree, SCIP_REOPT *reopt, SCIP_LP *lp, SCIP_BRANCHCAND *branchcand, SCIP_EVENTQUEUE *eventqueue, SCIP_CLIQUETABLE *cliquetable, SCIP_VAR *var, SCIP_Real bound, SCIP_Bool local, SCIP_Bool *applied, SCIP_Bool *cutoff)
Definition: sepastore.c:675
int SCIPsepastoreGetNCutsAdded(SCIP_SEPASTORE *sepastore)
Definition: sepastore.c:1160
internal methods for storing separated cuts
SCIP_Bool SCIPsetIsEfficacious(SCIP_SET *set, SCIP_Bool root, SCIP_Real efficacy)
Definition: set.c:7061
SCIP_Bool SCIPsetIsFeasPositive(SCIP_SET *set, SCIP_Real val)
Definition: set.c:6718
SCIP_Bool SCIPsetIsFeasNegative(SCIP_SET *set, SCIP_Real val)
Definition: set.c:6729
int SCIPsetGetSepaMaxcuts(SCIP_SET *set, SCIP_Bool root)
Definition: set.c:5917
SCIP_Bool SCIPsetIsFeasGT(SCIP_SET *set, SCIP_Real val1, SCIP_Real val2)
Definition: set.c:6663
SCIP_Bool SCIPsetIsFeasLE(SCIP_SET *set, SCIP_Real val1, SCIP_Real val2)
Definition: set.c:6641
SCIP_Bool SCIPsetIsLE(SCIP_SET *set, SCIP_Real val1, SCIP_Real val2)
Definition: set.c:6257
SCIP_Bool SCIPsetIsFeasZero(SCIP_SET *set, SCIP_Real val)
Definition: set.c:6707
SCIP_Bool SCIPsetIsFeasLT(SCIP_SET *set, SCIP_Real val1, SCIP_Real val2)
Definition: set.c:6619
SCIP_Bool SCIPsetIsLT(SCIP_SET *set, SCIP_Real val1, SCIP_Real val2)
Definition: set.c:6239
SCIP_Bool SCIPsetIsInfinity(SCIP_SET *set, SCIP_Real val)
Definition: set.c:6199
SCIP_Bool SCIPsetIsGT(SCIP_SET *set, SCIP_Real val1, SCIP_Real val2)
Definition: set.c:6275
SCIP_Bool SCIPsetIsZero(SCIP_SET *set, SCIP_Real val)
Definition: set.c:6311
SCIP_Bool SCIPsetIsFeasGE(SCIP_SET *set, SCIP_Real val1, SCIP_Real val2)
Definition: set.c:6685
int SCIPsetCalcMemGrowSize(SCIP_SET *set, int num)
Definition: set.c:5764
unsigned int SCIPsetInitializeRandomSeed(SCIP_SET *set, unsigned int initialseedvalue)
Definition: set.c:7393
internal methods for global SCIP settings
#define SCIPsetDebugMsg
Definition: set.h:1784
internal methods for problem statistics
SCIP_EVENTTYPE eventmask
Definition: struct_event.h:198
unsigned int origintype
Definition: struct_lp.h:265
void * origin
Definition: struct_lp.h:225
unsigned int fromcutpool
Definition: struct_lp.h:249
SCIP_Bool initiallp
SCIP_Bool forcecuts
SCIP_ROW ** cuts
datastructures for managing events
datastructures for storing conflicts
Definition: heur_padm.c:135
SCIP_RETCODE SCIPnodeCutoff(SCIP_NODE *node, SCIP_SET *set, SCIP_STAT *stat, SCIP_TREE *tree, SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_REOPT *reopt, SCIP_LP *lp, BMS_BLKMEM *blkmem)
Definition: tree.c:1238
SCIP_NODE * SCIPtreeGetCurrentNode(SCIP_TREE *tree)
Definition: tree.c:8485
SCIP_NODE * SCIPtreeGetRootNode(SCIP_TREE *tree)
Definition: tree.c:8552
SCIP_RETCODE SCIPnodeAddBoundchg(SCIP_NODE *node, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_TREE *tree, SCIP_REOPT *reopt, SCIP_LP *lp, SCIP_BRANCHCAND *branchcand, SCIP_EVENTQUEUE *eventqueue, SCIP_CLIQUETABLE *cliquetable, SCIP_VAR *var, SCIP_Real newbound, SCIP_BOUNDTYPE boundtype, SCIP_Bool probingchange)
Definition: tree.c:2106
internal methods for branch and bound tree
#define SCIP_EVENTTYPE_ROWDELETEDSEPA
Definition: type_event.h:109
#define SCIP_EVENTTYPE_ROWADDEDSEPA
Definition: type_event.h:108
enum SCIP_RowOriginType SCIP_ROWORIGINTYPE
Definition: type_lp.h:78
@ SCIP_ROWORIGINTYPE_CONSHDLR
Definition: type_lp.h:73
@ SCIP_ROWORIGINTYPE_REOPT
Definition: type_lp.h:76
@ SCIP_ROWORIGINTYPE_UNSPEC
Definition: type_lp.h:72
@ SCIP_ROWORIGINTYPE_SEPA
Definition: type_lp.h:75
@ SCIP_ROWORIGINTYPE_CONS
Definition: type_lp.h:74
@ SCIP_BOUNDTYPE_UPPER
Definition: type_lp.h:57
@ SCIP_BOUNDTYPE_LOWER
Definition: type_lp.h:56
@ SCIP_INVALIDDATA
Definition: type_retcode.h:52
@ SCIP_OKAY
Definition: type_retcode.h:42
@ SCIP_INVALIDCALL
Definition: type_retcode.h:51
enum SCIP_Retcode SCIP_RETCODE
Definition: type_retcode.h:63
@ SCIP_EFFICIACYCHOICE_LP
@ SCIP_EFFICIACYCHOICE_RELAX
@ SCIP_EFFICIACYCHOICE_NLP
enum SCIP_Efficiacychoice SCIP_EFFICIACYCHOICE
void SCIPvarAdjustLb(SCIP_VAR *var, SCIP_SET *set, SCIP_Real *lb)
Definition: var.c:6517
void SCIPvarAdjustUb(SCIP_VAR *var, SCIP_SET *set, SCIP_Real *ub)
Definition: var.c:6534
internal methods for problem variables