Scippy

SCIP

Solving Constraint Integer Programs

heuristics.c
Go to the documentation of this file.
1 /* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
2 /* */
3 /* This file is part of the program and library */
4 /* SCIP --- Solving Constraint Integer Programs */
5 /* */
6 /* Copyright (C) 2002-2022 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 heuristics.c
17  * @ingroup OTHER_CFILES
18  * @brief methods commonly used by primal heuristics
19  * @author Gregor Hendel
20  */
21 
22 #include "scip/heuristics.h"
23 #include "scip/cons_linear.h"
24 #include "scip/scipdefplugins.h"
25 
26 #include "scip/pub_heur.h"
27 
28 /* the indicator and SOS1 constraint handlers are included for the diving algorithm SCIPperformGenericDivingAlgorithm() */
29 #include "scip/cons_indicator.h"
30 #include "scip/cons_sos1.h"
31 
32 #define MINLPITER 10000 /**< minimal number of LP iterations allowed in each LP solving call */
33 
34 
35 /** solve probing LP */
36 static
38  SCIP* scip, /**< SCIP data structure */
39  SCIP_DIVESET* diveset, /**< diving settings */
40  SCIP_Longint maxnlpiterations, /**< maximum number of allowed LP iterations */
41  SCIP_DIVECONTEXT divecontext, /**< context for diving statistics */
42  SCIP_Bool* lperror, /**< pointer to store if an internal LP error occurred */
43  SCIP_Bool* cutoff /**< pointer to store whether the LP was infeasible */
44  )
45 {
46  int lpiterationlimit;
47  SCIP_RETCODE retstat;
48  SCIP_Longint nlpiterations;
49 
50  assert(lperror != NULL);
51  assert(cutoff != NULL);
52 
53  nlpiterations = SCIPgetNLPIterations(scip);
54 
55  /* allow at least MINLPITER more iterations so as not to run out of LP iterations during this solve */
56  lpiterationlimit = (int)(maxnlpiterations - SCIPdivesetGetNLPIterations(diveset, divecontext));
57  lpiterationlimit = MAX(lpiterationlimit, MINLPITER);
58 
59  retstat = SCIPsolveProbingLP(scip, lpiterationlimit, lperror, cutoff);
60 
61  /* Errors in the LP solver should not kill the overall solving process, if the LP is just needed for a heuristic.
62  * Hence in optimized mode, the return code is caught and a warning is printed, only in debug mode, SCIP will stop.
63  */
64 #ifdef NDEBUG
65  if( retstat != SCIP_OKAY )
66  {
67  SCIPwarningMessage(scip, "Error while solving LP in %s diving heuristic; LP solve terminated with code <%d>.\n", SCIPdivesetGetName(diveset), retstat);
68  }
69 #else
70  SCIP_CALL( retstat );
71 #endif
72 
73  /* update iteration count */
74  SCIPupdateDivesetLPStats(scip, diveset, SCIPgetNLPIterations(scip) - nlpiterations, divecontext);
75 
76  return SCIP_OKAY;
77 }
78 
79 /** select the next variable and type of diving */
80 static
82  SCIP* scip, /**< SCIP data structure */
83  SCIP_DIVESET* diveset, /**< dive set */
84  SCIP_SOL* worksol, /**< current working solution */
85  SCIP_Bool onlylpbranchcands, /**< should only LP branching candidates be considered? */
86  SCIP_Bool storelpcandscores, /**< should the scores of the LP candidates be updated? */
87  SCIP_VAR** lpcands, /**< LP branching candidates, or NULL if not needed */
88  SCIP_Real * lpcandssol, /**< solution values LP branching candidates, or NULL if not needed */
89  SCIP_Real* lpcandsfrac, /**< fractionalities of LP branching candidates, or NULL if not needed*/
90  SCIP_Real* lpcandsscores, /**< array with LP branching candidate scores, or NULL */
91  SCIP_Bool* lpcandroundup, /**< array to remember whether the preferred branching direction is upwards */
92  int* nviollpcands, /**< pointer to store the number of LP candidates whose solution value already violates local bounds */
93  int nlpcands, /**< number of current LP cands */
94  SCIP_Bool* enfosuccess, /**< pointer to store whether a candidate was sucessfully found */
95  SCIP_Bool* infeasible /**< pointer to store whether the diving can be immediately aborted because it is infeasible */
96  )
97 {
98  assert(scip != NULL);
99  assert(worksol != NULL);
100  assert(!onlylpbranchcands || lpcandsscores != NULL);
101  assert(!onlylpbranchcands || lpcandroundup != NULL);
102  assert(enfosuccess != NULL);
103  assert(infeasible != NULL);
104  assert(nviollpcands != NULL);
105 
106  *nviollpcands = 0;
107  /* we use diving solution enforcement provided by the constraint handlers */
108  if( !onlylpbranchcands )
109  {
110  SCIP_CALL( SCIPgetDiveBoundChanges(scip, diveset, worksol, enfosuccess, infeasible) );
111  }
112  else
113  {
114  int c;
115  int bestcandidx;
116  SCIP_Real bestscore;
117  SCIP_Real score;
118 
119  bestscore = SCIP_REAL_MIN;
120  bestcandidx = -1;
121 
123 
124  /* search for the candidate that maximizes the dive set score function and whose solution value is still feasible */
125  for( c = 0; c < nlpcands; ++c )
126  {
127  assert(SCIPgetSolVal(scip, worksol, lpcands[c]) == lpcandssol[c]); /*lint !e777 doesn't like comparing floats for equality */
128 
129  /* scores are kept in arrays for faster reuse */
130  if( storelpcandscores )
131  {
132  SCIP_CALL( SCIPgetDivesetScore(scip, diveset, SCIP_DIVETYPE_INTEGRALITY, lpcands[c], lpcandssol[c],
133  lpcandsfrac[c], &lpcandsscores[c], &lpcandroundup[c]) );
134  }
135 
136  score = lpcandsscores[c];
137  /* update the best candidate if it has a higher score and a solution value which does not violate one of the local bounds */
138  if( SCIPisLE(scip, SCIPvarGetLbLocal(lpcands[c]), lpcandssol[c]) && SCIPisGE(scip, SCIPvarGetUbLocal(lpcands[c]), lpcandssol[c]) )
139  {
140  if( score > bestscore )
141  {
142  bestcandidx = c;
143  bestscore = score;
144  }
145  }
146  else
147  ++(*nviollpcands);
148  }
149 
150  /* there is no guarantee that a candidate is found since local bounds might render all solution values infeasible */
151  *enfosuccess = (bestcandidx >= 0);
152  if( *enfosuccess )
153  {
154  /* if we want to round up the best candidate, it is added as the preferred bound change */
155  SCIP_CALL( SCIPaddDiveBoundChange(scip, lpcands[bestcandidx], SCIP_BRANCHDIR_UPWARDS,
156  SCIPceil(scip, lpcandssol[bestcandidx]), lpcandroundup[bestcandidx]) );
157  SCIP_CALL( SCIPaddDiveBoundChange(scip, lpcands[bestcandidx], SCIP_BRANCHDIR_DOWNWARDS,
158  SCIPfloor(scip, lpcandssol[bestcandidx]), ! lpcandroundup[bestcandidx]) );
159  }
160  }
161  return SCIP_OKAY;
162 }
163 
164 /** return the LP iteration budget suggestion for this dive set */
165 static
167  SCIP* scip, /**< SCIP data structure */
168  SCIP_DIVESET* diveset, /**< dive set data structure */
169  SCIP_DIVECONTEXT divecontext /**< context for diving statistics */
170  )
171 {
172  SCIP_Longint iterlimit;
173  /*todo another factor of 10, REALLY? */
174  iterlimit = (SCIP_Longint)((1.0 + 10*(SCIPdivesetGetNSols(diveset, divecontext)+1.0)/(SCIPdivesetGetNCalls(diveset, divecontext)+1.0)) * SCIPdivesetGetMaxLPIterQuot(diveset) * SCIPgetNNodeLPIterations(scip));
175  iterlimit += SCIPdivesetGetMaxLPIterOffset(diveset);
176  iterlimit -= SCIPdivesetGetNLPIterations(diveset, divecontext);
177 
178  return iterlimit;
179 }
180 
181 /** performs a diving within the limits of the @p diveset parameters
182  *
183  * This method performs a diving according to the settings defined by the diving settings @p diveset; Contrary to the
184  * name, SCIP enters probing mode (not diving mode) and dives along a path into the tree. Domain propagation
185  * is applied at every node in the tree, whereas probing LPs might be solved less frequently.
186  *
187  * Starting from the current LP solution, the algorithm selects candidates which maximize the
188  * score defined by the @p diveset and whose solution value has not yet been rendered infeasible by propagation,
189  * and propagates the bound change on this candidate.
190  *
191  * The algorithm iteratively selects the the next (unfixed) candidate in the list, until either enough domain changes
192  * or the resolve frequency of the LP trigger an LP resolve (and hence, the set of potential candidates changes),
193  * or the last node is proven to be infeasible. It optionally backtracks and tries the
194  * other branching direction.
195  *
196  * After the set of remaining candidates is empty or the targeted depth is reached, the node LP is
197  * solved, and the old candidates are replaced by the new LP candidates.
198  *
199  * @see heur_guideddiving.c for an example implementation of a dive set controlling the diving algorithm.
200  *
201  * @note the node from where the algorithm is called is checked for a basic LP solution. If the solution
202  * is non-basic, e.g., when barrier without crossover is used, the method returns without performing a dive.
203  *
204  * @note currently, when multiple diving heuristics call this method and solve an LP at the same node, only the first
205  * call will be executed, see SCIPgetLastDiveNode()
206  *
207  * @todo generalize method to work correctly with pseudo or external branching/diving candidates
208  */
210  SCIP* scip, /**< SCIP data structure */
211  SCIP_DIVESET* diveset, /**< settings for diving */
212  SCIP_SOL* worksol, /**< non-NULL working solution */
213  SCIP_HEUR* heur, /**< the calling primal heuristic */
214  SCIP_RESULT* result, /**< SCIP result pointer */
215  SCIP_Bool nodeinfeasible, /**< is the current node known to be infeasible? */
216  SCIP_Longint iterlim, /**< nonnegative iteration limit for the LP solves, or -1 for dynamic setting */
217  SCIP_DIVECONTEXT divecontext /**< context for diving statistics */
218  )
219 {
220  SCIP_CONSHDLR* indconshdlr; /* constraint handler for indicator constraints */
221  SCIP_CONSHDLR* sos1conshdlr; /* constraint handler for SOS1 constraints */
222  SCIP_VAR** lpcands;
223  SCIP_Real* lpcandssol;
224 
225  SCIP_VAR** previouscands;
226  SCIP_Real* lpcandsscores;
227  SCIP_Real* previousvals;
228  SCIP_Real* lpcandsfrac;
229  SCIP_Bool* lpcandroundup;
230  SCIP_Real searchubbound;
231  SCIP_Real searchavgbound;
232  SCIP_Real searchbound;
233  SCIP_Real ubquot;
234  SCIP_Real avgquot;
235  SCIP_Longint maxnlpiterations;
236  SCIP_Longint domreds;
237  int startndivecands;
238  int depth;
239  int maxdepth;
240  int maxdivedepth;
241  int totalnbacktracks;
242  int totalnprobingnodes;
243  int lastlpdepth;
244  int previouscandssize;
245  int lpcandsscoressize;
246  int nviollpcands;
247  SCIP_Longint oldnsolsfound;
248  SCIP_Longint oldnbestsolsfound;
249  SCIP_Longint oldnconflictsfound;
250 
251  SCIP_Bool success;
252  SCIP_Bool leafsol;
253  SCIP_Bool enfosuccess;
254  SCIP_Bool lperror;
255  SCIP_Bool cutoff;
256  SCIP_Bool backtracked;
257  SCIP_Bool backtrack;
258  SCIP_Bool onlylpbranchcands;
259 
260  int nlpcands;
261  int lpsolvefreq;
262 
263  assert(scip != NULL);
264  assert(heur != NULL);
265  assert(result != NULL);
266  assert(worksol != NULL);
267 
268  *result = SCIP_DELAYED;
269 
270  /* do not call heuristic in node that was already detected to be infeasible */
271  if( nodeinfeasible )
272  return SCIP_OKAY;
273 
274  /* only call heuristic, if an optimal LP solution is at hand */
276  return SCIP_OKAY;
277 
278  /* only call heuristic, if the LP objective value is smaller than the cutoff bound */
279  if( SCIPisGE(scip, SCIPgetLPObjval(scip), SCIPgetCutoffbound(scip)) )
280  return SCIP_OKAY;
281 
282  /* only call heuristic, if the LP solution is basic (which allows fast resolve in diving) */
283  if( !SCIPisLPSolBasic(scip) )
284  return SCIP_OKAY;
285 
286  /* don't dive two times at the same node */
287  if( SCIPgetLastDivenode(scip) == SCIPgetNNodes(scip) && SCIPgetDepth(scip) > 0 )
288  return SCIP_OKAY;
289 
290  *result = SCIP_DIDNOTRUN;
291 
292  /* only try to dive, if we are in the correct part of the tree, given by minreldepth and maxreldepth */
293  depth = SCIPgetDepth(scip);
294  maxdepth = SCIPgetMaxDepth(scip);
295  maxdepth = MAX(maxdepth, 30);
296  if( depth < SCIPdivesetGetMinRelDepth(diveset) * maxdepth || depth > SCIPdivesetGetMaxRelDepth(diveset) * maxdepth )
297  return SCIP_OKAY;
298 
299  /* calculate the maximal number of LP iterations */
300  if( iterlim < 0 )
301  {
302  maxnlpiterations = SCIPdivesetGetNLPIterations(diveset, divecontext) + getDivesetIterLimit(scip, diveset, divecontext);
303  }
304  else
305  {
306  maxnlpiterations = SCIPdivesetGetNLPIterations(diveset, divecontext) + iterlim;
307  }
308 
309  /* don't try to dive, if we took too many LP iterations during diving */
310  if( SCIPdivesetGetNLPIterations(diveset, divecontext) >= maxnlpiterations )
311  return SCIP_OKAY;
312 
313  /* allow at least a certain number of LP iterations in this dive */
314  if( SCIPdivesetGetNLPIterations(diveset, divecontext) + MINLPITER > maxnlpiterations )
315  maxnlpiterations = SCIPdivesetGetNLPIterations(diveset, divecontext) + MINLPITER;
316 
317  /* these constraint handlers are required for polishing an LP relaxation solution beyond rounding */
318  indconshdlr = SCIPfindConshdlr(scip, "indicator");
319  sos1conshdlr = SCIPfindConshdlr(scip, "SOS1");
320 
321  SCIP_CALL( SCIPgetLPBranchCands(scip, &lpcands, &lpcandssol, &lpcandsfrac, &nlpcands, NULL, NULL) );
322 
323  onlylpbranchcands = SCIPdivesetUseOnlyLPBranchcands(diveset);
324  /* don't try to dive, if there are no diving candidates */
325  if( onlylpbranchcands && nlpcands == 0 )
326  return SCIP_OKAY;
327 
328  /* calculate the objective search bound */
329  if( SCIPgetNSolsFound(scip) == 0 )
330  {
331  ubquot = SCIPdivesetGetUbQuotNoSol(diveset);
332  avgquot = SCIPdivesetGetAvgQuotNoSol(diveset);
333  }
334  else
335  {
336  ubquot = SCIPdivesetGetUbQuot(diveset);
337  avgquot = SCIPdivesetGetAvgQuot(diveset);
338  }
339 
340  if( ubquot > 0.0 )
341  searchubbound = SCIPgetLowerbound(scip) + ubquot * (SCIPgetCutoffbound(scip) - SCIPgetLowerbound(scip));
342  else
343  searchubbound = SCIPinfinity(scip);
344 
345  if( avgquot > 0.0 )
346  searchavgbound = SCIPgetLowerbound(scip) + avgquot * (SCIPgetAvgLowerbound(scip) - SCIPgetLowerbound(scip));
347  else
348  searchavgbound = SCIPinfinity(scip);
349 
350  searchbound = MIN(searchubbound, searchavgbound);
351 
352  if( SCIPisObjIntegral(scip) )
353  searchbound = SCIPceil(scip, searchbound);
354 
355  /* calculate the maximal diving depth: 10 * min{number of integer variables, max depth} */
356  maxdivedepth = SCIPgetNBinVars(scip) + SCIPgetNIntVars(scip);
357  if ( sos1conshdlr != NULL )
358  maxdivedepth += SCIPgetNSOS1Vars(sos1conshdlr);
359  maxdivedepth = MIN(maxdivedepth, maxdepth);
360  maxdivedepth *= 10;
361 
362  *result = SCIP_DIDNOTFIND;
363 
364  /* start probing mode */
365  SCIP_CALL( SCIPstartProbing(scip) );
366 
367  /* enables collection of variable statistics during probing */
368  SCIPenableVarHistory(scip);
369 
370  SCIPdebugMsg(scip, "(node %" SCIP_LONGINT_FORMAT ") executing %s heuristic: depth=%d, %d fractionals, dualbound=%g, avgbound=%g, cutoffbound=%g, searchbound=%g\n",
371  SCIPgetNNodes(scip), SCIPheurGetName(heur), SCIPgetDepth(scip), nlpcands, SCIPgetDualbound(scip), SCIPgetAvgDualbound(scip),
372  SCIPretransformObj(scip, SCIPgetCutoffbound(scip)), SCIPretransformObj(scip, searchbound));
373 
374  /* allocate buffer storage for previous candidates and their branching values for pseudo cost updates */
375  lpsolvefreq = SCIPdivesetGetLPSolveFreq(diveset);
376  previouscandssize = MAX(1, lpsolvefreq);
377  SCIP_CALL( SCIPallocBufferArray(scip, &previouscands, previouscandssize) );
378  SCIP_CALL( SCIPallocBufferArray(scip, &previousvals, previouscandssize) );
379 
380  /* keep some statistics */
381  lperror = FALSE;
382  cutoff = FALSE;
383  lastlpdepth = -1;
384  startndivecands = nlpcands;
385  totalnbacktracks = 0;
386  totalnprobingnodes = 0;
387  oldnsolsfound = SCIPgetNSolsFound(scip);
388  oldnbestsolsfound = SCIPgetNBestSolsFound(scip);
389  oldnconflictsfound = SCIPgetNConflictConssFound(scip);
390 
391  /* link the working solution to the dive set */
392  SCIPdivesetSetWorkSolution(diveset, worksol);
393 
394  if( onlylpbranchcands )
395  {
396  SCIP_CALL( SCIPallocBufferArray(scip, &lpcandsscores, nlpcands) );
397  SCIP_CALL( SCIPallocBufferArray(scip, &lpcandroundup, nlpcands) );
398 
399  lpcandsscoressize = nlpcands;
400  }
401  else
402  {
403  lpcandroundup = NULL;
404  lpcandsscores = NULL;
405  lpcandsscoressize = 0;
406  }
407 
408  enfosuccess = TRUE;
409  leafsol = FALSE;
410 
411  /* LP loop; every time a new LP was solved, conditions are checked
412  * dive as long we are in the given objective, depth and iteration limits and fractional variables exist, but
413  * - if possible, we dive at least with the depth 10
414  * - if the number of fractional variables decreased at least with 1 variable per 2 dive depths, we continue diving
415  */
416  while( !lperror && !cutoff && SCIPgetLPSolstat(scip) == SCIP_LPSOLSTAT_OPTIMAL && enfosuccess
417  && (SCIPgetProbingDepth(scip) < 10
418  || nlpcands <= startndivecands - SCIPgetProbingDepth(scip) / 2
419  || (SCIPgetProbingDepth(scip) < maxdivedepth && SCIPdivesetGetNLPIterations(diveset, divecontext) < maxnlpiterations && SCIPgetLPObjval(scip) < searchbound))
420  && !SCIPisStopped(scip) )
421  {
422  SCIP_Real lastlpobjval;
423  int c;
424  SCIP_Bool allroundable;
425  SCIP_Bool infeasible;
426  int prevcandsinsertidx;
427 
428  /* remember the last LP depth */
429  assert(lastlpdepth < SCIPgetProbingDepth(scip));
430  lastlpdepth = SCIPgetProbingDepth(scip);
431  domreds = 0;
432 
433  SCIPdebugMsg(scip, "%s heuristic continues diving at depth %d, %d candidates left\n",
434  SCIPdivesetGetName(diveset), lastlpdepth, nlpcands);
435 
436  /* loop over candidates and determine if they are roundable */
437  allroundable = TRUE;
438  c = 0;
439  while( allroundable && c < nlpcands )
440  {
441  if( SCIPvarMayRoundDown(lpcands[c]) || SCIPvarMayRoundUp(lpcands[c]) )
442  allroundable = TRUE;
443  else
444  allroundable = FALSE;
445  ++c;
446  }
447 
448  /* if all candidates are roundable, try to round the solution */
449  if( allroundable )
450  {
451  success = FALSE;
452 
453  /* working solution must be linked to LP solution */
454  SCIP_CALL( SCIPlinkLPSol(scip, worksol) );
455  /* create solution from diving LP and try to round it */
456  SCIP_CALL( SCIProundSol(scip, worksol, &success) );
457 
458  /* adjust SOS1 constraints */
459  if( success && sos1conshdlr != NULL )
460  {
461  SCIP_Bool changed;
462  SCIP_CALL( SCIPmakeSOS1sFeasible(scip, sos1conshdlr, worksol, &changed, &success) );
463  }
464 
465  /* succesfully rounded solutions are tried for primal feasibility */
466  if( success )
467  {
468  SCIP_Bool changed = FALSE;
469  SCIPdebugMsg(scip, "%s found roundable primal solution: obj=%g\n", SCIPdivesetGetName(diveset), SCIPgetSolOrigObj(scip, worksol));
470 
471  /* adjust indicator constraints */
472  if( indconshdlr != NULL )
473  {
474  SCIP_CALL( SCIPmakeIndicatorsFeasible(scip, indconshdlr, worksol, &changed) );
475  }
476 
477  success = FALSE;
478  /* try to add solution to SCIP */
479  SCIP_CALL( SCIPtrySol(scip, worksol, FALSE, FALSE, FALSE, FALSE, changed, &success) );
480 
481  /* check, if solution was feasible and good enough */
482  if( success )
483  {
484  SCIPdebugMsg(scip, " -> solution was feasible and good enough\n");
485  *result = SCIP_FOUNDSOL;
486  leafsol = (nlpcands == 0);
487 
488  /* the rounded solution found above led to a cutoff of the node LP solution */
490  {
491  cutoff = TRUE;
492  break;
493  }
494  }
495  }
496  }
497 
498  /* working solution must be linked to LP solution */
499  assert(SCIPgetLPSolstat(scip) == SCIP_LPSOLSTAT_OPTIMAL);
500  lastlpobjval = SCIPgetLPObjval(scip);
501  SCIP_CALL( SCIPlinkLPSol(scip, worksol) );
502 
503  /* we must explicitly store the solution values by unlinking the solution, otherwise,
504  * the working solution may contain wrong entries, if, e.g., a backtrack occurred after an
505  * intermediate LP resolve or the LP was resolved during conflict analysis.
506  */
507  SCIP_CALL( SCIPunlinkSol(scip, worksol) );
508 
509  /* ensure array sizes for the diving on the fractional variables */
510  if( onlylpbranchcands && nlpcands > lpcandsscoressize )
511  {
512  assert(nlpcands > 0);
513  assert(lpcandsscores != NULL);
514  assert(lpcandroundup != NULL);
515 
516  SCIP_CALL( SCIPreallocBufferArray(scip, &lpcandsscores, nlpcands) );
517  SCIP_CALL( SCIPreallocBufferArray(scip, &lpcandroundup, nlpcands) );
518 
519  lpcandsscoressize = nlpcands;
520  }
521 
522  enfosuccess = FALSE;
523  /* select the next diving action by selecting appropriate dive bound changes for the preferred and alternative child */
524  SCIP_CALL( selectNextDiving(scip, diveset, worksol, onlylpbranchcands, SCIPgetProbingDepth(scip) == lastlpdepth,
525  lpcands, lpcandssol, lpcandsfrac, lpcandsscores, lpcandroundup, &nviollpcands, nlpcands,
526  &enfosuccess, &infeasible) );
527 
528  /* if we did not succeed finding an enforcement, the solution is potentially feasible and we break immediately */
529  if( ! enfosuccess )
530  break;
531 
532  prevcandsinsertidx = -1;
533 
534  /* start propagating candidate variables
535  * - until the desired targetdepth is reached,
536  * - or there is no further candidate variable left because of intermediate bound changes,
537  * - or a cutoff is detected
538  */
539  do
540  {
541  SCIP_VAR* bdchgvar;
542  SCIP_Real bdchgvalue;
543  SCIP_Longint localdomreds;
544  SCIP_BRANCHDIR bdchgdir;
545  int nbdchanges;
546 
547  /* ensure that a new candidate was successfully determined (usually at the end of the previous loop iteration) */
548  assert(enfosuccess);
549  bdchgvar = NULL;
550  bdchgvalue = SCIP_INVALID;
551  bdchgdir = SCIP_BRANCHDIR_AUTO;
552 
553  backtracked = FALSE;
554  do
555  {
556  int d;
557  SCIP_VAR** bdchgvars;
558  SCIP_BRANCHDIR* bdchgdirs;
559  SCIP_Real* bdchgvals;
560 
561  nbdchanges = 0;
562  /* get the bound change information stored in the dive set */
563  SCIPgetDiveBoundChangeData(scip, &bdchgvars, &bdchgdirs, &bdchgvals, &nbdchanges, !backtracked);
564 
565  assert(nbdchanges > 0);
566  assert(bdchgvars != NULL);
567  assert(bdchgdirs != NULL);
568  assert(bdchgvals != NULL);
569 
570  /* return if we reached the depth limit */
571  if( SCIP_MAXTREEDEPTH <= SCIPgetDepth(scip) )
572  {
573  SCIPdebugMsg(scip, "depth limit reached, we stop diving immediately.\n");
574  goto TERMINATE;
575  }
576 
577  /* dive deeper into the tree */
578  SCIP_CALL( SCIPnewProbingNode(scip) );
579  ++totalnprobingnodes;
580 
581  /* apply all suggested domain changes of the variables */
582  for( d = 0; d < nbdchanges; ++d )
583  {
584  SCIP_Real lblocal;
585  SCIP_Real ublocal;
586  SCIP_Bool infeasbdchange;
587 
588  /* get the next bound change data: variable, direction, and value */
589  bdchgvar = bdchgvars[d];
590  bdchgvalue = bdchgvals[d];
591  bdchgdir = bdchgdirs[d];
592 
593  assert(bdchgvar != NULL);
594  lblocal = SCIPvarGetLbLocal(bdchgvar);
595  ublocal = SCIPvarGetUbLocal(bdchgvar);
596 
597  SCIPdebugMsg(scip, " dive %d/%d, LP iter %" SCIP_LONGINT_FORMAT "/%" SCIP_LONGINT_FORMAT ": var <%s>, oldbounds=[%g,%g], newbounds=[%g,%g]\n",
598  SCIPgetProbingDepth(scip), maxdivedepth, SCIPdivesetGetNLPIterations(diveset, divecontext), maxnlpiterations,
599  SCIPvarGetName(bdchgvar),
600  lblocal, ublocal,
601  bdchgdir == SCIP_BRANCHDIR_DOWNWARDS ? lblocal : bdchgvalue,
602  bdchgdir == SCIP_BRANCHDIR_UPWARDS ? ublocal : bdchgvalue);
603 
604  infeasbdchange = FALSE;
605  /* tighten the lower and/or upper bound depending on the bound change type */
606  switch( bdchgdir )
607  {
609  /* test if bound change is possible, otherwise propagation might have deduced the same
610  * bound already or numerical troubles might have occurred */
611  if( SCIPisFeasLE(scip, bdchgvalue, lblocal) || SCIPisFeasGT(scip, bdchgvalue, ublocal) )
612  infeasbdchange = TRUE;
613  else
614  {
615  /* round variable up */
616  SCIP_CALL( SCIPchgVarLbProbing(scip, bdchgvar, bdchgvalue) );
617  }
618  break;
620  /* test if bound change is possible, otherwise propagation might have deduced the same
621  * bound already or numerical troubles might have occurred */
622  if( SCIPisFeasGE(scip, bdchgvalue, ublocal) || SCIPisFeasLT(scip, bdchgvalue, lblocal) )
623  infeasbdchange = TRUE;
624  else
625  {
626  /* round variable down */
627  SCIP_CALL( SCIPchgVarUbProbing(scip, bdchgvar, bdchgvalue) );
628  }
629  break;
631  /* test if bound change is possible, otherwise propagation might have deduced the same
632  * bound already or numerical troubles might have occurred */
633  if( SCIPisFeasLT(scip, bdchgvalue, lblocal) || SCIPisFeasGT(scip, bdchgvalue, ublocal) ||
634  (SCIPisFeasEQ(scip, lblocal, ublocal) && nbdchanges < 2) )
635  infeasbdchange = TRUE;
636  else
637  {
638  /* fix variable to the bound change value */
639  if( SCIPisFeasLT(scip, lblocal, bdchgvalue) )
640  {
641  SCIP_CALL( SCIPchgVarLbProbing(scip, bdchgvar, bdchgvalue) );
642  }
643  if( SCIPisFeasGT(scip, ublocal, bdchgvalue) )
644  {
645  SCIP_CALL( SCIPchgVarUbProbing(scip, bdchgvar, bdchgvalue) );
646  }
647  }
648  break;
649  case SCIP_BRANCHDIR_AUTO:
650  default:
651  SCIPerrorMessage("Error: Unsupported bound change direction <%d> specified for diving, aborting\n",bdchgdirs[d]);
652  SCIPABORT();
653  return SCIP_INVALIDDATA; /*lint !e527*/
654  }
655  /* if the variable domain has been shrunk in the meantime, numerical troubles may have
656  * occured or variable was fixed by propagation while backtracking => Abort diving!
657  */
658  if( infeasbdchange )
659  {
660  SCIPdebugMsg(scip, "\nSelected variable <%s> domain already [%g,%g] as least as tight as desired bound change, diving aborted \n",
661  SCIPvarGetName(bdchgvar), SCIPvarGetLbLocal(bdchgvar), SCIPvarGetUbLocal(bdchgvar));
662  cutoff = TRUE;
663  break;
664  }
665  }
666  /* break loop immediately if we detected a cutoff */
667  if( cutoff )
668  break;
669 
670  /* apply domain propagation */
671  localdomreds = 0;
672  SCIP_CALL( SCIPpropagateProbing(scip, 0, &cutoff, &localdomreds) );
673 
674  /* add the number of bound changes we applied by ourselves after propagation, otherwise the counter would have been reset */
675  localdomreds += nbdchanges;
676 
677  SCIPdebugMsg(scip, "domain reductions: %" SCIP_LONGINT_FORMAT " (total: %" SCIP_LONGINT_FORMAT ")\n",
678  localdomreds, domreds + localdomreds);
679 
680  /* resolve the diving LP if the diving resolve frequency is reached or a sufficient number of intermediate bound changes
681  * was reached
682  */
683  if( ! cutoff
684  && ((lpsolvefreq > 0 && ((SCIPgetProbingDepth(scip) - lastlpdepth) % lpsolvefreq) == 0)
685  || (domreds + localdomreds > SCIPdivesetGetLPResolveDomChgQuot(diveset) * SCIPgetNVars(scip))
686  || (onlylpbranchcands && nviollpcands > (int)(SCIPdivesetGetLPResolveDomChgQuot(diveset) * nlpcands))) )
687  {
688  SCIP_CALL( solveLP(scip, diveset, maxnlpiterations, divecontext, &lperror, &cutoff) );
689 
690  /* lp errors lead to early termination */
691  if( lperror )
692  {
693  cutoff = TRUE;
694  break;
695  }
696  }
697 
698  /* perform backtracking if a cutoff was detected */
699  if( cutoff && !backtracked && SCIPdivesetUseBacktrack(diveset) )
700  {
701  SCIPdebugMsg(scip, " *** cutoff detected at level %d - backtracking\n", SCIPgetProbingDepth(scip));
703  ++totalnbacktracks;
704  backtracked = TRUE;
705  backtrack = TRUE;
706  cutoff = FALSE;
707  }
708  else
709  backtrack = FALSE;
710  }
711  while( backtrack );
712 
713  /* we add the domain reductions from the last evaluated node */
714  domreds += localdomreds; /*lint !e771 lint thinks localdomreds has not been initialized */
715 
716  /* store candidate for pseudo cost update and choose next candidate only if no cutoff was detected */
717  if( ! cutoff )
718  {
719  if( nbdchanges == 1 && (bdchgdir == SCIP_BRANCHDIR_UPWARDS || bdchgdir == SCIP_BRANCHDIR_DOWNWARDS) )
720  {
721  ++prevcandsinsertidx;
722  assert(prevcandsinsertidx <= SCIPgetProbingDepth(scip) - lastlpdepth - 1);
723  assert(SCIPgetProbingDepth(scip) > 0);
724  assert(bdchgvar != NULL);
725  assert(bdchgvalue != SCIP_INVALID); /*lint !e777 doesn't like comparing floats for equality */
726 
727  /* extend array in case of a dynamic, domain change based LP resolve strategy */
728  if( prevcandsinsertidx >= previouscandssize )
729  {
730  previouscandssize *= 2;
731  SCIP_CALL( SCIPreallocBufferArray(scip, &previouscands, previouscandssize) );
732  SCIP_CALL( SCIPreallocBufferArray(scip, &previousvals, previouscandssize) );
733  }
734  assert(previouscandssize > prevcandsinsertidx);
735 
736  /* store candidate for pseudo cost update */
737  previouscands[prevcandsinsertidx] = bdchgvar;
738  previousvals[prevcandsinsertidx] = bdchgvalue;
739  }
740 
741  /* choose next candidate variable and resolve the LP if none is found. */
743  {
744  assert(SCIPgetProbingDepth(scip) > lastlpdepth);
745  enfosuccess = FALSE;
746 
747  /* select the next diving action */
748  SCIP_CALL( selectNextDiving(scip, diveset, worksol, onlylpbranchcands, SCIPgetProbingDepth(scip) == lastlpdepth,
749  lpcands, lpcandssol, lpcandsfrac, lpcandsscores, lpcandroundup, &nviollpcands, nlpcands,
750  &enfosuccess, &infeasible) );
751 
752  /* in case of an unsuccesful candidate search, we solve the node LP */
753  if( !enfosuccess )
754  {
755  SCIP_CALL( solveLP(scip, diveset, maxnlpiterations, divecontext, &lperror, &cutoff) );
756 
757  /* check for an LP error and terminate in this case, cutoffs lead to termination anyway */
758  if( lperror )
759  cutoff = TRUE;
760 
761  /* enfosuccess must be set to TRUE for entering the main LP loop again */
762  enfosuccess = TRUE;
763  }
764  }
765  }
766  }
767  while( !cutoff && SCIPgetLPSolstat(scip) == SCIP_LPSOLSTAT_NOTSOLVED );
768 
769  assert(cutoff || lperror || SCIPgetLPSolstat(scip) != SCIP_LPSOLSTAT_NOTSOLVED);
770 
773 
774  /* check new LP candidates and use the LP Objective gain to update pseudo cost information */
775  if( ! cutoff && SCIPgetLPSolstat(scip) == SCIP_LPSOLSTAT_OPTIMAL )
776  {
777  int v;
778  SCIP_Real gain;
779 
780  SCIP_CALL( SCIPgetLPBranchCands(scip, &lpcands, &lpcandssol, NULL, &nlpcands, NULL, NULL) );
781 
782  SCIPdebugMsg(scip, " -> lpsolstat=%d, objval=%g/%g, nfrac=%d\n", SCIPgetLPSolstat(scip), SCIPgetLPObjval(scip), searchbound, nlpcands);
783  /* distribute the gain equally over all variables that we rounded since the last LP */
784  gain = SCIPgetLPObjval(scip) - lastlpobjval;
785  gain = MAX(gain, 0.0);
786  gain /= (1.0 * (SCIPgetProbingDepth(scip) - lastlpdepth));
787 
788  /* loop over previously fixed candidates and share gain improvement */
789  for( v = 0; v <= prevcandsinsertidx; ++v )
790  {
791  SCIP_VAR* cand = previouscands[v];
792  SCIP_Real val = previousvals[v];
793  SCIP_Real solval = SCIPgetSolVal(scip, worksol, cand);
794 
795  /* todo: should the gain be shared with a smaller weight, instead of dividing the gain itself? */
796  /* it may happen that a variable had an integral solution value beforehand, e.g., for indicator variables */
797  if( ! SCIPisZero(scip, val - solval) )
798  {
799  SCIP_CALL( SCIPupdateVarPseudocost(scip, cand, val - solval, gain, 1.0) );
800  }
801  }
802  }
803  else
804  nlpcands = 0;
805  }
806 
807  success = FALSE;
808  /* check if a solution has been found */
809  if( !enfosuccess && !lperror && !cutoff && SCIPgetLPSolstat(scip) == SCIP_LPSOLSTAT_OPTIMAL )
810  {
811  /* create solution from diving LP */
812  SCIP_CALL( SCIPlinkLPSol(scip, worksol) );
813  SCIPdebugMsg(scip, "%s found primal solution: obj=%g\n", SCIPdivesetGetName(diveset), SCIPgetSolOrigObj(scip, worksol));
814 
815  /* try to add solution to SCIP */
816  SCIP_CALL( SCIPtrySol(scip, worksol, FALSE, FALSE, FALSE, FALSE, FALSE, &success) );
817 
818  /* check, if solution was feasible and good enough */
819  if( success )
820  {
821  SCIPdebugMsg(scip, " -> solution was feasible and good enough\n");
822  *result = SCIP_FOUNDSOL;
823  leafsol = TRUE;
824  }
825  }
826 
827  SCIPupdateDivesetStats(scip, diveset, totalnprobingnodes, totalnbacktracks, SCIPgetNSolsFound(scip) - oldnsolsfound,
828  SCIPgetNBestSolsFound(scip) - oldnbestsolsfound, SCIPgetNConflictConssFound(scip) - oldnconflictsfound, leafsol, divecontext);
829 
830  SCIPdebugMsg(scip, "(node %" SCIP_LONGINT_FORMAT ") finished %s diveset (%s heur): %d fractionals, dive %d/%d, LP iter %" SCIP_LONGINT_FORMAT "/%" SCIP_LONGINT_FORMAT ", objval=%g/%g, lpsolstat=%d, cutoff=%u\n",
831  SCIPgetNNodes(scip), SCIPdivesetGetName(diveset), SCIPheurGetName(heur), nlpcands, SCIPgetProbingDepth(scip), maxdivedepth, SCIPdivesetGetNLPIterations(diveset, divecontext), maxnlpiterations,
832  SCIPretransformObj(scip, SCIPgetLPSolstat(scip) == SCIP_LPSOLSTAT_OPTIMAL ? SCIPgetLPObjval(scip) : SCIPinfinity(scip)), SCIPretransformObj(scip, searchbound), SCIPgetLPSolstat(scip), cutoff);
833 
834  TERMINATE:
835  /* end probing mode */
836  SCIP_CALL( SCIPendProbing(scip) );
837 
839 
840  if( onlylpbranchcands )
841  {
842  SCIPfreeBufferArray(scip, &lpcandroundup);
843  SCIPfreeBufferArray(scip, &lpcandsscores);
844  }
845  SCIPfreeBufferArray(scip, &previousvals);
846  SCIPfreeBufferArray(scip, &previouscands);
847 
848  return SCIP_OKAY;
849 }
850 
851 
852 /** creates the rows of the subproblem */
853 static
855  SCIP* scip, /**< original SCIP data structure */
856  SCIP* subscip, /**< SCIP data structure for the subproblem */
857  SCIP_HASHMAP* varmap /**< a hashmap to store the mapping of source variables to the corresponding
858  * target variables */
859  )
860 {
861  SCIP_ROW** rows; /* original scip rows */
862  SCIP_CONS* cons; /* new constraint */
863  SCIP_VAR** consvars; /* new constraint's variables */
864  SCIP_COL** cols; /* original row's columns */
865 
866  SCIP_Real constant; /* constant added to the row */
867  SCIP_Real lhs; /* left hand side of the row */
868  SCIP_Real rhs; /* left right side of the row */
869  SCIP_Real* vals; /* variables' coefficient values of the row */
870 
871  int nrows;
872  int nnonz;
873  int i;
874  int j;
875 
876  /* get the rows and their number */
877  SCIP_CALL( SCIPgetLPRowsData(scip, &rows, &nrows) );
878 
879  /* copy all rows to linear constraints */
880  for( i = 0; i < nrows; i++ )
881  {
882  /* ignore rows that are only locally valid */
883  if( SCIProwIsLocal(rows[i]) )
884  continue;
885 
886  /* get the row's data */
887  constant = SCIProwGetConstant(rows[i]);
888  lhs = SCIProwGetLhs(rows[i]) - constant;
889  rhs = SCIProwGetRhs(rows[i]) - constant;
890  vals = SCIProwGetVals(rows[i]);
891  nnonz = SCIProwGetNNonz(rows[i]);
892  cols = SCIProwGetCols(rows[i]);
893 
894  assert(lhs <= rhs);
895 
896  /* allocate memory array to be filled with the corresponding subproblem variables */
897  SCIP_CALL( SCIPallocBufferArray(scip, &consvars, nnonz) );
898  for( j = 0; j < nnonz; j++ )
899  consvars[j] = (SCIP_VAR*) SCIPhashmapGetImage(varmap, (SCIPcolGetVar(cols[j])));
900 
901  /* create a new linear constraint and add it to the subproblem */
902  SCIP_CALL( SCIPcreateConsLinear(subscip, &cons, SCIProwGetName(rows[i]), nnonz, consvars, vals, lhs, rhs,
903  TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, TRUE, FALSE) );
904  SCIP_CALL( SCIPaddCons(subscip, cons) );
905  SCIP_CALL( SCIPreleaseCons(subscip, &cons) );
906 
907  /* free temporary memory */
908  SCIPfreeBufferArray(scip, &consvars);
909  }
910 
911  return SCIP_OKAY;
912 }
913 
914 
915 /** get a sub-SCIP copy of the transformed problem */
917  SCIP* sourcescip, /**< source SCIP data structure */
918  SCIP* subscip, /**< sub-SCIP used by the heuristic */
919  SCIP_HASHMAP* varmap, /**< a hashmap to store the mapping of source variables to the corresponding
920  * target variables */
921  const char* suffix, /**< suffix for the problem name */
922  SCIP_VAR** fixedvars, /**< source variables whose copies should be fixed in the target SCIP environment, or NULL */
923  SCIP_Real* fixedvals, /**< array of fixing values for target SCIP variables, or NULL */
924  int nfixedvars, /**< number of source variables whose copies should be fixed in the target SCIP environment, or NULL */
925  SCIP_Bool uselprows, /**< should the linear relaxation of the problem defined by LP rows be copied? */
926  SCIP_Bool copycuts, /**< should cuts be copied (only if uselprows == FALSE) */
927  SCIP_Bool* success, /**< was the copying successful? */
928  SCIP_Bool* valid /**< pointer to store whether the copying was valid, or NULL */
929  )
930 {
931  assert(sourcescip != NULL);
932  assert(suffix != NULL);
933  assert(subscip != NULL);
934  assert(varmap != NULL);
935  assert(success != NULL);
936 
937  if( uselprows )
938  {
939  char probname[SCIP_MAXSTRLEN];
940 
941  /* copy all plugins */
943 
944  /* set name to the original problem name and possibly add a suffix */
945  (void) SCIPsnprintf(probname, SCIP_MAXSTRLEN, "%s_%s", SCIPgetProbName(sourcescip), suffix);
946 
947  /* create the subproblem */
948  SCIP_CALL( SCIPcreateProb(subscip, probname, NULL, NULL, NULL, NULL, NULL, NULL, NULL) );
949 
950  /* copy all variables */
951  SCIP_CALL( SCIPcopyVars(sourcescip, subscip, varmap, NULL, fixedvars, fixedvals, nfixedvars, TRUE) );
952 
953  /* copy parameter settings */
954  SCIP_CALL( SCIPcopyParamSettings(sourcescip, subscip) );
955 
956  /* create linear constraints from LP rows of the source problem */
957  SCIP_CALL( createRows(sourcescip, subscip, varmap) );
958  }
959  else
960  {
961  SCIP_CALL( SCIPcopyConsCompression(sourcescip, subscip, varmap, NULL, suffix, fixedvars, fixedvals, nfixedvars,
962  TRUE, FALSE, FALSE, TRUE, valid) );
963 
964  if( copycuts )
965  {
966  /* copies all active cuts from cutpool of sourcescip to linear constraints in targetscip */
967  SCIP_CALL( SCIPcopyCuts(sourcescip, subscip, varmap, NULL, TRUE, NULL) );
968  }
969  }
970 
971  *success = TRUE;
972 
973  return SCIP_OKAY;
974 }
975 
976 /** adds a trust region neighborhood constraint to the @p targetscip
977  *
978  * a trust region constraint measures the deviation from the current incumbent solution \f$x^*\f$ by an auxiliary
979  * continuous variable \f$v \geq 0\f$:
980  * \f[
981  * \sum\limits_{j\in B} |x_j^* - x_j| = v
982  * \f]
983  * Only binary variables are taken into account. The deviation is penalized in the objective function using
984  * a positive \p violpenalty.
985  *
986  * @note: the trust region constraint creates an auxiliary variable to penalize the deviation from
987  * the current incumbent solution. This variable can afterwards be accessed using SCIPfindVar() by its name
988  * 'trustregion_violationvar'
989  */
991  SCIP* sourcescip, /**< the data structure for the main SCIP instance */
992  SCIP* targetscip, /**< SCIP data structure of the subproblem */
993  SCIP_VAR** subvars, /**< variables of the subproblem, NULL entries are ignored */
994  SCIP_Real violpenalty /**< the penalty for violating the trust region */
995  )
996 {
997  SCIP_VAR* violvar;
998  SCIP_CONS* trustregioncons;
999  SCIP_VAR** consvars;
1000  SCIP_VAR** vars;
1001  SCIP_SOL* bestsol;
1002 
1003  int nvars;
1004  int nbinvars;
1005  int nconsvars;
1006  int i;
1007  SCIP_Real rhs;
1008  SCIP_Real* consvals;
1009  char name[SCIP_MAXSTRLEN];
1010 
1011  /* get the data of the variables and the best solution */
1012  SCIP_CALL( SCIPgetVarsData(sourcescip, &vars, &nvars, &nbinvars, NULL, NULL, NULL) );
1013  bestsol = SCIPgetBestSol(sourcescip);
1014  assert(bestsol != NULL);
1015  /* otherwise, this neighborhood would not be active in the first place */
1016  assert(nbinvars > 0);
1017 
1018  /* memory allocation */
1019  SCIP_CALL( SCIPallocBufferArray(sourcescip, &consvars, nbinvars + 1) );
1020  SCIP_CALL( SCIPallocBufferArray(sourcescip, &consvals, nbinvars + 1) );
1021  nconsvars = 0;
1022 
1023  /* set initial left and right hand sides of trust region constraint */
1024  rhs = 0.0;
1025 
1026  /* create the distance (to incumbent) function of the binary variables */
1027  for( i = 0; i < nbinvars; i++ )
1028  {
1029  SCIP_Real solval;
1030 
1031  if( subvars[i] == NULL )
1032  continue;
1033 
1034  solval = SCIPgetSolVal(sourcescip, bestsol, vars[i]);
1035  assert( SCIPisFeasIntegral(sourcescip,solval) );
1036 
1037  /* is variable i part of the binary support of bestsol? */
1038  if( SCIPisFeasEQ(sourcescip, solval, 1.0) )
1039  {
1040  consvals[nconsvars] = -1.0;
1041  rhs -= 1.0;
1042  }
1043  else
1044  consvals[nconsvars] = 1.0;
1045  consvars[nconsvars] = subvars[i];
1046  assert(SCIPvarGetType(consvars[nconsvars]) == SCIP_VARTYPE_BINARY);
1047  ++nconsvars;
1048  }
1049 
1050  /* adding the violation variable */
1051  (void) SCIPsnprintf(name, SCIP_MAXSTRLEN, "%s_trustregionviolvar", SCIPgetProbName(sourcescip));
1052  SCIP_CALL( SCIPcreateVarBasic(targetscip, &violvar, name, 0.0, SCIPinfinity(targetscip), violpenalty, SCIP_VARTYPE_CONTINUOUS) );
1053  SCIP_CALL( SCIPaddVar(targetscip, violvar) );
1054  consvars[nconsvars] = violvar;
1055  consvals[nconsvars] = -1.0;
1056  ++nconsvars;
1057 
1058  /* creates trustregion constraint and adds it to subscip */
1059  (void) SCIPsnprintf(name, SCIP_MAXSTRLEN, "%s_trustregioncons", SCIPgetProbName(sourcescip));
1060 
1061  SCIP_CALL( SCIPcreateConsLinear(targetscip, &trustregioncons, name, nconsvars, consvars, consvals,
1062  rhs, rhs, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, TRUE, FALSE) );
1063  SCIP_CALL( SCIPaddCons(targetscip, trustregioncons) );
1064  SCIP_CALL( SCIPreleaseCons(targetscip, &trustregioncons) );
1065 
1066  /* releasing the violation variable */
1067  SCIP_CALL( SCIPreleaseVar(targetscip, &violvar) );
1068 
1069  /* free local memory */
1070  SCIPfreeBufferArray(sourcescip, &consvals);
1071  SCIPfreeBufferArray(sourcescip, &consvars);
1072 
1073  return SCIP_OKAY;
1074 }
enum SCIP_Result SCIP_RESULT
Definition: type_result.h:52
SCIP_RETCODE SCIPgetLPBranchCands(SCIP *scip, SCIP_VAR ***lpcands, SCIP_Real **lpcandssol, SCIP_Real **lpcandsfrac, int *nlpcands, int *npriolpcands, int *nfracimplvars)
Definition: scip_branch.c:386
int SCIPgetNIntVars(SCIP *scip)
Definition: scip_prob.c:2080
SCIP_RETCODE SCIPlinkLPSol(SCIP *scip, SCIP_SOL *sol)
Definition: scip_sol.c:1017
SCIP_Bool SCIPisFeasEQ(SCIP *scip, SCIP_Real val1, SCIP_Real val2)
SCIP_RETCODE SCIPbacktrackProbing(SCIP *scip, int probingdepth)
Definition: scip_probing.c:216
SCIP_Longint SCIPgetNLPIterations(SCIP *scip)
SCIP_Bool SCIPisFeasLT(SCIP *scip, SCIP_Real val1, SCIP_Real val2)
SCIP_CONSHDLR * SCIPfindConshdlr(SCIP *scip, const char *name)
Definition: scip_cons.c:877
int SCIPgetProbingDepth(SCIP *scip)
Definition: scip_probing.c:189
SCIP_Real SCIPgetCutoffbound(SCIP *scip)
#define SCIP_MAXSTRLEN
Definition: def.h:293
static SCIP_RETCODE createRows(SCIP *scip, SCIP *subscip, SCIP_HASHMAP *varmap)
Definition: heuristics.c:854
SCIP_Bool SCIPdivesetUseBacktrack(SCIP_DIVESET *diveset)
Definition: heur.c:691
SCIP_Longint SCIPgetNSolsFound(SCIP *scip)
SCIP_RETCODE SCIPcreateProb(SCIP *scip, const char *name, SCIP_DECL_PROBDELORIG((*probdelorig)), SCIP_DECL_PROBTRANS((*probtrans)), SCIP_DECL_PROBDELTRANS((*probdeltrans)), SCIP_DECL_PROBINITSOL((*probinitsol)), SCIP_DECL_PROBEXITSOL((*probexitsol)), SCIP_DECL_PROBCOPY((*probcopy)), SCIP_PROBDATA *probdata)
Definition: scip_prob.c:107
int SCIProwGetNNonz(SCIP_ROW *row)
Definition: lp.c:17146
SCIP_Real SCIPdivesetGetUbQuot(SCIP_DIVESET *diveset)
Definition: heur.c:675
SCIP_Real SCIPvarGetLbLocal(SCIP_VAR *var)
Definition: var.c:17966
SCIP_Bool SCIPisGE(SCIP *scip, SCIP_Real val1, SCIP_Real val2)
int SCIPdivesetGetMaxLPIterOffset(SCIP_DIVESET *diveset)
Definition: heur.c:652
SCIP_Longint SCIPdivesetGetNLPIterations(SCIP_DIVESET *diveset, SCIP_DIVECONTEXT divecontext)
Definition: heur.c:578
const char * SCIProwGetName(SCIP_ROW *row)
Definition: lp.c:17284
int SCIPdivesetGetNCalls(SCIP_DIVESET *diveset, SCIP_DIVECONTEXT divecontext)
Definition: heur.c:474
SCIP_Real SCIPdivesetGetAvgQuotNoSol(SCIP_DIVESET *diveset)
Definition: heur.c:668
SCIP_RETCODE SCIPreleaseVar(SCIP *scip, SCIP_VAR **var)
Definition: scip_var.c:1245
SCIP_RETCODE SCIPmakeSOS1sFeasible(SCIP *scip, SCIP_CONSHDLR *conshdlr, SCIP_SOL *sol, SCIP_Bool *changed, SCIP_Bool *success)
Definition: cons_sos1.c:10782
constraint handler for indicator constraints
int SCIPgetMaxDepth(SCIP *scip)
void SCIPgetDiveBoundChangeData(SCIP *scip, SCIP_VAR ***variables, SCIP_BRANCHDIR **directions, SCIP_Real **values, int *ndivebdchgs, SCIP_Bool preferred)
SCIP_Bool SCIPisFeasGE(SCIP *scip, SCIP_Real val1, SCIP_Real val2)
SCIP_RETCODE SCIPgetVarsData(SCIP *scip, SCIP_VAR ***vars, int *nvars, int *nbinvars, int *nintvars, int *nimplvars, int *ncontvars)
Definition: scip_prob.c:1864
SCIP_Real SCIProwGetLhs(SCIP_ROW *row)
Definition: lp.c:17225
#define FALSE
Definition: def.h:87
SCIP_Real SCIPinfinity(SCIP *scip)
int SCIPsnprintf(char *t, int len, const char *s,...)
Definition: misc.c:10755
int SCIPgetNSOS1Vars(SCIP_CONSHDLR *conshdlr)
Definition: cons_sos1.c:10680
#define TRUE
Definition: def.h:86
enum SCIP_Retcode SCIP_RETCODE
Definition: type_retcode.h:54
SCIP_Real SCIPdivesetGetMaxRelDepth(SCIP_DIVESET *diveset)
Definition: heur.c:452
methods commonly used by primal heuristics
SCIP_Real SCIPgetAvgLowerbound(SCIP *scip)
SCIP_RETCODE SCIPcreateVarBasic(SCIP *scip, SCIP_VAR **var, const char *name, SCIP_Real lb, SCIP_Real ub, SCIP_Real obj, SCIP_VARTYPE vartype)
Definition: scip_var.c:185
static SCIP_Longint getDivesetIterLimit(SCIP *scip, SCIP_DIVESET *diveset, SCIP_DIVECONTEXT divecontext)
Definition: heuristics.c:166
SCIP_RETCODE SCIPaddDiveBoundChange(SCIP *scip, SCIP_VAR *var, SCIP_BRANCHDIR dir, SCIP_Real value, SCIP_Bool preferred)
SCIP_RETCODE SCIPchgVarLbProbing(SCIP *scip, SCIP_VAR *var, SCIP_Real newbound)
Definition: scip_probing.c:292
SCIP_Real SCIPdivesetGetMinRelDepth(SCIP_DIVESET *diveset)
Definition: heur.c:444
void * SCIPhashmapGetImage(SCIP_HASHMAP *hashmap, void *origin)
Definition: misc.c:3201
#define SCIPfreeBufferArray(scip, ptr)
Definition: scip_mem.h:127
void SCIPwarningMessage(SCIP *scip, const char *formatstr,...)
Definition: scip_message.c:111
#define SCIPdebugMsg
Definition: scip_message.h:69
SCIP_RETCODE SCIPcopyParamSettings(SCIP *sourcescip, SCIP *targetscip)
Definition: scip_copy.c:2550
SCIP_RETCODE SCIPperformGenericDivingAlgorithm(SCIP *scip, SCIP_DIVESET *diveset, SCIP_SOL *worksol, SCIP_HEUR *heur, SCIP_RESULT *result, SCIP_Bool nodeinfeasible, SCIP_Longint iterlim, SCIP_DIVECONTEXT divecontext)
Definition: heuristics.c:209
SCIP_Bool SCIPdivesetUseOnlyLPBranchcands(SCIP_DIVESET *diveset)
Definition: heur.c:732
SCIP_Real SCIPdivesetGetMaxLPIterQuot(SCIP_DIVESET *diveset)
Definition: heur.c:644
const char * SCIPgetProbName(SCIP *scip)
Definition: scip_prob.c:1065
SCIP_RETCODE SCIPupdateVarPseudocost(SCIP *scip, SCIP_VAR *var, SCIP_Real solvaldelta, SCIP_Real objdelta, SCIP_Real weight)
Definition: scip_var.c:8777
enum SCIP_BranchDir SCIP_BRANCHDIR
Definition: type_history.h:39
void SCIPclearDiveBoundChanges(SCIP *scip)
SCIP_Bool SCIPisLPSolBasic(SCIP *scip)
Definition: scip_lp.c:658
const char * SCIPheurGetName(SCIP_HEUR *heur)
Definition: heur.c:1441
#define SCIPerrorMessage
Definition: pub_message.h:55
SCIP_RETCODE SCIPaddCons(SCIP *scip, SCIP_CONS *cons)
Definition: scip_prob.c:2768
SCIP_RETCODE SCIPaddTrustregionNeighborhoodConstraint(SCIP *sourcescip, SCIP *targetscip, SCIP_VAR **subvars, SCIP_Real violpenalty)
Definition: heuristics.c:990
SCIP_Bool SCIPisLT(SCIP *scip, SCIP_Real val1, SCIP_Real val2)
SCIP_RETCODE SCIPpropagateProbing(SCIP *scip, int maxproprounds, SCIP_Bool *cutoff, SCIP_Longint *ndomredsfound)
Definition: scip_probing.c:571
SCIP_Longint SCIPdivesetGetNSols(SCIP_DIVESET *diveset, SCIP_DIVECONTEXT divecontext)
Definition: heur.c:630
static SCIP_RETCODE solveLP(SCIP *scip, SCIP_DIVESET *diveset, SCIP_Longint maxnlpiterations, SCIP_DIVECONTEXT divecontext, SCIP_Bool *lperror, SCIP_Bool *cutoff)
Definition: heuristics.c:37
SCIP_Bool SCIProwIsLocal(SCIP_ROW *row)
Definition: lp.c:17334
SCIP_Real SCIPgetDualbound(SCIP *scip)
SCIP_RETCODE SCIPcopyVars(SCIP *sourcescip, SCIP *targetscip, SCIP_HASHMAP *varmap, SCIP_HASHMAP *consmap, SCIP_VAR **fixedvars, SCIP_Real *fixedvals, int nfixedvars, SCIP_Bool global)
Definition: scip_copy.c:1169
SCIP_RETCODE SCIPcopyCuts(SCIP *sourcescip, SCIP *targetscip, SCIP_HASHMAP *varmap, SCIP_HASHMAP *consmap, SCIP_Bool global, int *ncutsadded)
Definition: scip_copy.c:2116
SCIP_Real SCIPdivesetGetAvgQuot(SCIP_DIVESET *diveset)
Definition: heur.c:683
SCIP_RETCODE SCIPendProbing(SCIP *scip)
Definition: scip_probing.c:251
const char * SCIPvarGetName(SCIP_VAR *var)
Definition: var.c:17251
#define NULL
Definition: lpi_spx1.cpp:155
static SCIP_RETCODE selectNextDiving(SCIP *scip, SCIP_DIVESET *diveset, SCIP_SOL *worksol, SCIP_Bool onlylpbranchcands, SCIP_Bool storelpcandscores, SCIP_VAR **lpcands, SCIP_Real *lpcandssol, SCIP_Real *lpcandsfrac, SCIP_Real *lpcandsscores, SCIP_Bool *lpcandroundup, int *nviollpcands, int nlpcands, SCIP_Bool *enfosuccess, SCIP_Bool *infeasible)
Definition: heuristics.c:81
#define SCIP_CALL(x)
Definition: def.h:384
SCIP_Real SCIPgetLowerbound(SCIP *scip)
SCIP_Bool SCIPisFeasGT(SCIP *scip, SCIP_Real val1, SCIP_Real val2)
SCIP_RETCODE SCIPsolveProbingLP(SCIP *scip, int itlim, SCIP_Bool *lperror, SCIP_Bool *cutoff)
Definition: scip_probing.c:810
SCIP_Bool SCIPisFeasLE(SCIP *scip, SCIP_Real val1, SCIP_Real val2)
SCIP_Real SCIProwGetRhs(SCIP_ROW *row)
Definition: lp.c:17235
SCIP_Real SCIPdivesetGetLPResolveDomChgQuot(SCIP_DIVESET *diveset)
Definition: heur.c:720
SCIP_COL ** SCIProwGetCols(SCIP_ROW *row)
Definition: lp.c:17171
SCIP_Bool SCIPhasCurrentNodeLP(SCIP *scip)
Definition: scip_lp.c:74
SCIP_Longint SCIPgetLastDivenode(SCIP *scip)
Definition: scip_lp.c:2730
SCIP_Longint SCIPgetNNodeLPIterations(SCIP *scip)
void SCIPupdateDivesetStats(SCIP *scip, SCIP_DIVESET *diveset, int nprobingnodes, int nbacktracks, SCIP_Longint nsolsfound, SCIP_Longint nbestsolsfound, SCIP_Longint nconflictsfound, SCIP_Bool leavewassol, SCIP_DIVECONTEXT divecontext)
SCIP_RETCODE SCIPcopyConsCompression(SCIP *sourcescip, SCIP *targetscip, SCIP_HASHMAP *varmap, SCIP_HASHMAP *consmap, const char *suffix, SCIP_VAR **fixedvars, SCIP_Real *fixedvals, int nfixedvars, SCIP_Bool global, SCIP_Bool enablepricing, SCIP_Bool threadsafe, SCIP_Bool passmessagehdlr, SCIP_Bool *valid)
Definition: scip_copy.c:2951
#define SCIPallocBufferArray(scip, ptr, num)
Definition: scip_mem.h:115
SCIP_Real * SCIProwGetVals(SCIP_ROW *row)
Definition: lp.c:17181
#define SCIP_Bool
Definition: def.h:84
SCIP_RETCODE SCIPincludeDefaultPlugins(SCIP *scip)
SCIP_LPSOLSTAT SCIPgetLPSolstat(SCIP *scip)
Definition: scip_lp.c:159
SCIP_Real SCIPdivesetGetUbQuotNoSol(SCIP_DIVESET *diveset)
Definition: heur.c:660
SCIP_RETCODE SCIProundSol(SCIP *scip, SCIP_SOL *sol, SCIP_Bool *success)
Definition: scip_sol.c:2446
int SCIPgetDepth(SCIP *scip)
Definition: scip_tree.c:661
#define MAX(x, y)
Definition: tclique_def.h:83
SCIP_RETCODE SCIPgetDiveBoundChanges(SCIP *scip, SCIP_DIVESET *diveset, SCIP_SOL *sol, SCIP_Bool *success, SCIP_Bool *infeasible)
void SCIPenableVarHistory(SCIP *scip)
Definition: scip_var.c:8738
#define MINLPITER
Definition: heuristics.c:32
SCIP_Longint SCIPgetNConflictConssFound(SCIP *scip)
SCIP_Real SCIPgetSolOrigObj(SCIP *scip, SCIP_SOL *sol)
Definition: scip_sol.c:1435
Constraint handler for linear constraints in their most general form, .
SCIP_RETCODE SCIPtrySol(SCIP *scip, SCIP_SOL *sol, SCIP_Bool printreason, SCIP_Bool completely, SCIP_Bool checkbounds, SCIP_Bool checkintegrality, SCIP_Bool checklprows, SCIP_Bool *stored)
Definition: scip_sol.c:3125
#define SCIP_MAXTREEDEPTH
Definition: def.h:320
int SCIPgetNBinVars(SCIP *scip)
Definition: scip_prob.c:2035
int SCIPgetNVars(SCIP *scip)
Definition: scip_prob.c:1990
SCIP_Real SCIPgetAvgDualbound(SCIP *scip)
#define SCIP_REAL_MIN
Definition: def.h:179
void SCIPdivesetSetWorkSolution(SCIP_DIVESET *diveset, SCIP_SOL *sol)
Definition: heur.c:423
SCIP_RETCODE SCIPcreateConsLinear(SCIP *scip, SCIP_CONS **cons, const char *name, int nvars, SCIP_VAR **vars, SCIP_Real *vals, SCIP_Real lhs, SCIP_Real rhs, SCIP_Bool initial, SCIP_Bool separate, SCIP_Bool enforce, SCIP_Bool check, SCIP_Bool propagate, SCIP_Bool local, SCIP_Bool modifiable, SCIP_Bool dynamic, SCIP_Bool removable, SCIP_Bool stickingatnode)
SCIP_Real SCIProwGetConstant(SCIP_ROW *row)
Definition: lp.c:17191
SCIP_Bool SCIPisObjIntegral(SCIP *scip)
Definition: scip_prob.c:1560
void SCIPupdateDivesetLPStats(SCIP *scip, SCIP_DIVESET *diveset, SCIP_Longint niterstoadd, SCIP_DIVECONTEXT divecontext)
enum SCIP_DiveContext SCIP_DIVECONTEXT
Definition: type_heur.h:63
SCIP_Real SCIPgetLPObjval(SCIP *scip)
Definition: scip_lp.c:238
SCIP_SOL * SCIPgetBestSol(SCIP *scip)
Definition: scip_sol.c:2304
SCIP_VAR * SCIPcolGetVar(SCIP_COL *col)
Definition: lp.c:16975
SCIP_RETCODE SCIPaddVar(SCIP *scip, SCIP_VAR *var)
Definition: scip_prob.c:1666
SCIP_RETCODE SCIPreleaseCons(SCIP *scip, SCIP_CONS **cons)
Definition: scip_cons.c:1110
SCIP_Real SCIPretransformObj(SCIP *scip, SCIP_Real obj)
Definition: scip_sol.c:1567
SCIP_RETCODE SCIPcopyLargeNeighborhoodSearch(SCIP *sourcescip, SCIP *subscip, SCIP_HASHMAP *varmap, const char *suffix, SCIP_VAR **fixedvars, SCIP_Real *fixedvals, int nfixedvars, SCIP_Bool uselprows, SCIP_Bool copycuts, SCIP_Bool *success, SCIP_Bool *valid)
Definition: heuristics.c:916
SCIP_Longint SCIPgetNBestSolsFound(SCIP *scip)
#define SCIP_Real
Definition: def.h:177
SCIP_Bool SCIPisStopped(SCIP *scip)
Definition: scip_general.c:694
constraint handler for SOS type 1 constraints
SCIP_RETCODE SCIPmakeIndicatorsFeasible(SCIP *scip, SCIP_CONSHDLR *conshdlr, SCIP_SOL *sol, SCIP_Bool *changed)
#define SCIP_INVALID
Definition: def.h:197
#define SCIP_Longint
Definition: def.h:162
SCIP_RETCODE SCIPunlinkSol(SCIP *scip, SCIP_SOL *sol)
Definition: scip_sol.c:1181
SCIP_VARTYPE SCIPvarGetType(SCIP_VAR *var)
Definition: var.c:17416
SCIP_Bool SCIPisZero(SCIP *scip, SCIP_Real val)
SCIP_Bool SCIPisLE(SCIP *scip, SCIP_Real val1, SCIP_Real val2)
SCIP_Real SCIPvarGetUbLocal(SCIP_VAR *var)
Definition: var.c:17976
SCIP_RETCODE SCIPnewProbingNode(SCIP *scip)
Definition: scip_probing.c:156
SCIP_RETCODE SCIPgetDivesetScore(SCIP *scip, SCIP_DIVESET *diveset, SCIP_DIVETYPE divetype, SCIP_VAR *divecand, SCIP_Real divecandsol, SCIP_Real divecandfrac, SCIP_Real *candscore, SCIP_Bool *roundup)
SCIP_Bool SCIPisFeasIntegral(SCIP *scip, SCIP_Real val)
SCIP_RETCODE SCIPstartProbing(SCIP *scip)
Definition: scip_probing.c:110
public methods for primal heuristics
SCIP_RETCODE SCIPgetLPRowsData(SCIP *scip, SCIP_ROW ***rows, int *nrows)
Definition: scip_lp.c:561
SCIP_Real SCIPceil(SCIP *scip, SCIP_Real val)
#define SCIP_DIVETYPE_INTEGRALITY
Definition: type_heur.h:51
SCIP_Longint SCIPgetNNodes(SCIP *scip)
#define SCIPABORT()
Definition: def.h:356
SCIP_RETCODE SCIPchgVarUbProbing(SCIP *scip, SCIP_VAR *var, SCIP_Real newbound)
Definition: scip_probing.c:336
SCIP_Real SCIPgetSolVal(SCIP *scip, SCIP_SOL *sol, SCIP_VAR *var)
Definition: scip_sol.c:1352
default SCIP plugins
SCIP_Real SCIPfloor(SCIP *scip, SCIP_Real val)
SCIP_Bool SCIPvarMayRoundUp(SCIP_VAR *var)
Definition: var.c:3445
SCIP_Bool SCIPvarMayRoundDown(SCIP_VAR *var)
Definition: var.c:3434
int SCIPdivesetGetLPSolveFreq(SCIP_DIVESET *diveset)
Definition: heur.c:699
#define SCIPreallocBufferArray(scip, ptr, num)
Definition: scip_mem.h:119
const char * SCIPdivesetGetName(SCIP_DIVESET *diveset)
Definition: heur.c:434