Scippy

SCIP

Solving Constraint Integer Programs

sol.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 */
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15 /* distributed under the License is distributed on an "AS IS" BASIS, */
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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 sol.c
26  * @ingroup OTHER_CFILES
27  * @brief methods for storing primal CIP solutions
28  * @author Tobias Achterberg
29  */
30 
31 /*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
32 
33 #include "scip/clock.h"
34 #include "scip/cons.h"
35 #include "scip/lp.h"
36 #include "scip/misc.h"
37 #include "scip/nlp.h"
38 #include "scip/primal.h"
39 #include "scip/prob.h"
40 #include "scip/pub_lp.h"
41 #include "scip/pub_message.h"
42 #include "scip/pub_sol.h"
43 #include "scip/pub_var.h"
44 #include "scip/relax.h"
45 #include "scip/set.h"
46 #include "scip/sol.h"
47 #include "scip/stat.h"
48 #include "scip/struct_lp.h"
49 #include "scip/struct_prob.h"
50 #include "scip/struct_set.h"
51 #include "scip/struct_sol.h"
52 #include "scip/struct_stat.h"
53 #include "scip/struct_var.h"
54 #include "scip/tree.h"
55 #include "scip/var.h"
56 
57 
58 
59 /** clears solution arrays of primal CIP solution */
60 static
61 SCIP_RETCODE solClearArrays(
62  SCIP_SOL* sol /**< primal CIP solution */
63  )
64 {
65  assert(sol != NULL);
66 
67  SCIP_CALL( SCIPboolarrayClear(sol->valid) );
68  sol->hasinfval = FALSE;
69 
70  return SCIP_OKAY;
71 }
72 
73 /** sets value of variable in the solution's array */
74 static
75 SCIP_RETCODE solSetArrayVal(
76  SCIP_SOL* sol, /**< primal CIP solution */
77  SCIP_SET* set, /**< global SCIP settings */
78  SCIP_VAR* var, /**< problem variable */
79  SCIP_Real val /**< value to set variable to */
80  )
81 {
82  int idx;
83 
84  assert(sol != NULL);
85 
86  idx = SCIPvarGetIndex(var);
87 
88  /* from now on, variable must not be deleted */
89  SCIPvarMarkNotDeletable(var);
90 
91  /* mark the variable valid */
92  SCIP_CALL( SCIPboolarraySetVal(sol->valid, set->mem_arraygrowinit, set->mem_arraygrowfac, idx, TRUE) );
93 
94  /* set the value in the solution array */
95  SCIP_CALL( SCIPrealarraySetVal(sol->vals, set->mem_arraygrowinit, set->mem_arraygrowfac, idx, val) );
96 
97  /* store whether the solution has infinite values assigned to variables */
98  if( val != SCIP_UNKNOWN ) /*lint !e777*/
99  sol->hasinfval = (sol->hasinfval || SCIPsetIsInfinity(set, val) || SCIPsetIsInfinity(set, -val));
100 
101  return SCIP_OKAY;
102 }
103 
104 /** increases value of variable in the solution's array */
105 static
106 SCIP_RETCODE solIncArrayVal(
107  SCIP_SOL* sol, /**< primal CIP solution */
108  SCIP_SET* set, /**< global SCIP settings */
109  SCIP_VAR* var, /**< problem variable */
110  SCIP_Real incval /**< increase of variable's solution value */
111  )
112 {
113  int idx;
114 
115  assert(sol != NULL);
116 
117  idx = SCIPvarGetIndex(var);
118 
119  /* from now on, variable must not be deleted */
120  SCIPvarMarkNotDeletable(var);
121 
122  /* if the variable was not valid, mark it to be valid and set the value to the incval (it is 0.0 if not valid) */
123  if( !SCIPboolarrayGetVal(sol->valid, idx) )
124  {
125  /* mark the variable valid */
126  SCIP_CALL( SCIPboolarraySetVal(sol->valid, set->mem_arraygrowinit, set->mem_arraygrowfac, idx, TRUE) );
127 
128  /* set the value in the solution array */
129  SCIP_CALL( SCIPrealarraySetVal(sol->vals, set->mem_arraygrowinit, set->mem_arraygrowfac, idx, incval) );
130  }
131  else
132  {
133  /* increase the value in the solution array */
134  SCIP_CALL( SCIPrealarrayIncVal(sol->vals, set->mem_arraygrowinit, set->mem_arraygrowfac, idx, incval) );
135  }
136 
137  /* store whether the solution has infinite values assigned to variables */
138  incval = SCIPrealarrayGetVal(sol->vals, idx);
139  if( incval != SCIP_UNKNOWN ) /*lint !e777*/
140  sol->hasinfval = (sol->hasinfval || SCIPsetIsInfinity(set, incval) || SCIPsetIsInfinity(set, -incval));
141 
142  return SCIP_OKAY;
143 }
144 
145 /** returns the value of the variable in the given solution */
146 static
147 SCIP_Real solGetArrayVal(
148  SCIP_SOL* sol, /**< primal CIP solution */
149  SCIP_VAR* var /**< problem variable */
150  )
151 {
152  int idx;
153 
154  assert(sol != NULL);
155 
156  idx = SCIPvarGetIndex(var);
157 
158  /* check, if the variable's value is valid */
159  if( SCIPboolarrayGetVal(sol->valid, idx) )
160  {
161  return SCIPrealarrayGetVal(sol->vals, idx);
162  }
163  else
164  {
165  /* return the variable's value corresponding to the origin */
166  switch( sol->solorigin )
167  {
168  case SCIP_SOLORIGIN_ORIGINAL:
169  case SCIP_SOLORIGIN_ZERO:
170  return 0.0;
171 
172  case SCIP_SOLORIGIN_LPSOL:
173  return SCIPvarGetLPSol(var);
174 
175  case SCIP_SOLORIGIN_NLPSOL:
176  return SCIPvarGetNLPSol(var);
177 
178  case SCIP_SOLORIGIN_RELAXSOL:
179  return SCIPvarGetRelaxSolTransVar(var);
180 
181  case SCIP_SOLORIGIN_PSEUDOSOL:
182  return SCIPvarGetPseudoSol(var);
183 
184  case SCIP_SOLORIGIN_PARTIAL:
185  case SCIP_SOLORIGIN_UNKNOWN:
186  return SCIP_UNKNOWN;
187 
188  default:
189  SCIPerrorMessage("unknown solution origin <%d>\n", sol->solorigin);
190  SCIPABORT();
191  return 0.0; /*lint !e527*/
192  }
193  }
194 }
195 
196 /** stores solution value of variable in solution's own array */
197 static
198 SCIP_RETCODE solUnlinkVar(
199  SCIP_SOL* sol, /**< primal CIP solution */
200  SCIP_SET* set, /**< global SCIP settings */
201  SCIP_VAR* var /**< problem variable */
202  )
203 {
204  SCIP_Real solval;
205 
206  assert(sol != NULL);
207  assert(var != NULL);
208  assert(SCIPvarIsTransformed(var));
209  assert(SCIPvarGetStatus(var) == SCIP_VARSTATUS_COLUMN || SCIPvarGetStatus(var) == SCIP_VARSTATUS_LOOSE);
210 
211  /* if variable is already valid, nothing has to be done */
212  if( SCIPboolarrayGetVal(sol->valid, SCIPvarGetIndex(var)) )
213  return SCIP_OKAY;
214 
215  SCIPsetDebugMsg(set, "unlinking solution value of variable <%s>\n", SCIPvarGetName(var));
216 
217  /* store the correct solution value into the solution array */
218  switch( sol->solorigin )
219  {
220  case SCIP_SOLORIGIN_ORIGINAL:
221  SCIPerrorMessage("cannot unlink solutions of original problem space\n");
222  return SCIP_INVALIDDATA;
223 
224  case SCIP_SOLORIGIN_ZERO:
225  return SCIP_OKAY;
226 
227  case SCIP_SOLORIGIN_LPSOL:
228  solval = SCIPvarGetLPSol(var);
229  SCIP_CALL( solSetArrayVal(sol, set, var, solval) );
230  return SCIP_OKAY;
231 
232  case SCIP_SOLORIGIN_NLPSOL:
233  solval = SCIPvarGetNLPSol(var);
234  SCIP_CALL( solSetArrayVal(sol, set, var, solval) );
235  return SCIP_OKAY;
236 
237  case SCIP_SOLORIGIN_RELAXSOL:
238  solval = SCIPvarGetRelaxSolTransVar(var);
239  SCIP_CALL( solSetArrayVal(sol, set, var, solval) );
240  return SCIP_OKAY;
241 
242  case SCIP_SOLORIGIN_PSEUDOSOL:
243  solval = SCIPvarGetPseudoSol(var);
244  SCIP_CALL( solSetArrayVal(sol, set, var, solval) );
245  return SCIP_OKAY;
246 
247  case SCIP_SOLORIGIN_PARTIAL:
248  case SCIP_SOLORIGIN_UNKNOWN:
249  SCIP_CALL( solSetArrayVal(sol, set, var, SCIP_UNKNOWN) );
250  return SCIP_OKAY;
251 
252  default:
253  SCIPerrorMessage("unknown solution origin <%d>\n", sol->solorigin);
254  return SCIP_INVALIDDATA;
255  }
256 }
257 
258 /** sets the solution time, nodenum, runnum, and depth stamp to the current values */
259 static
260 void solStamp(
261  SCIP_SOL* sol, /**< primal CIP solution */
262  SCIP_STAT* stat, /**< problem statistics data */
263  SCIP_TREE* tree, /**< branch and bound tree, or NULL */
264  SCIP_Bool checktime /**< should the time be updated? */
265  )
266 {
267  assert(sol != NULL);
268  assert(stat != NULL);
269 
270  if( checktime )
271  {
272  sol->time = SCIPclockGetTime(stat->solvingtime);
273 #ifndef NDEBUG
274  sol->lpcount = stat->lpcount;
275 #endif
276  }
277  else
278  sol->time = SCIPclockGetLastTime(stat->solvingtime);
279  sol->nodenum = stat->nnodes;
280  sol->runnum = stat->nruns;
281  if( tree == NULL )
282  sol->depth = -1;
283  else
284  sol->depth = SCIPtreeGetCurrentDepth(tree);
285 }
286 
287 /** creates primal CIP solution, initialized to zero */
288 SCIP_RETCODE SCIPsolCreate(
289  SCIP_SOL** sol, /**< pointer to primal CIP solution */
290  BMS_BLKMEM* blkmem, /**< block memory */
291  SCIP_SET* set, /**< global SCIP settings */
292  SCIP_STAT* stat, /**< problem statistics data */
293  SCIP_PRIMAL* primal, /**< primal data */
294  SCIP_TREE* tree, /**< branch and bound tree */
295  SCIP_HEUR* heur /**< heuristic that found the solution (or NULL if it's from the tree) */
296  )
297 {
298  assert(sol != NULL);
299  assert(blkmem != NULL);
300  assert(stat != NULL);
301 
302  SCIP_ALLOC( BMSallocBlockMemory(blkmem, sol) );
303  SCIP_CALL( SCIPrealarrayCreate(&(*sol)->vals, blkmem) );
304  SCIP_CALL( SCIPboolarrayCreate(&(*sol)->valid, blkmem) );
305 
306  (*sol)->solorigin = SCIP_SOLORIGIN_ZERO;
307  (*sol)->obj = 0.0;
308  (*sol)->primalindex = -1;
309  (*sol)->index = stat->solindex;
310  (*sol)->hasinfval = FALSE;
311  SCIPsolResetViolations(*sol);
312  stat->solindex++;
313  solStamp(*sol, stat, tree, TRUE);
314  SCIPsolResetViolations(*sol);
315 
316  /* set solution type and creator depending on whether a heuristic or NULL is passed */
317  SCIPsolSetHeur(*sol, heur);
318 
319  SCIP_CALL( SCIPprimalSolCreated(primal, set, *sol) );
320 
321  return SCIP_OKAY;
322 }
323 
324 /** creates primal CIP solution in original problem space, initialized to the offset in the original problem */
325 SCIP_RETCODE SCIPsolCreateOriginal(
326  SCIP_SOL** sol, /**< pointer to primal CIP solution */
327  BMS_BLKMEM* blkmem, /**< block memory */
328  SCIP_SET* set, /**< global SCIP settings */
329  SCIP_STAT* stat, /**< problem statistics data */
330  SCIP_PROB* origprob, /**< original problem data */
331  SCIP_PRIMAL* primal, /**< primal data */
332  SCIP_TREE* tree, /**< branch and bound tree */
333  SCIP_HEUR* heur /**< heuristic that found the solution (or NULL if it's from the tree) */
334  )
335 {
336  assert(sol != NULL);
337  assert(blkmem != NULL);
338  assert(stat != NULL);
339 
340  SCIP_ALLOC( BMSallocBlockMemory(blkmem, sol) );
341  SCIP_CALL( SCIPrealarrayCreate(&(*sol)->vals, blkmem) );
342  SCIP_CALL( SCIPboolarrayCreate(&(*sol)->valid, blkmem) );
343  (*sol)->solorigin = SCIP_SOLORIGIN_ORIGINAL;
344  (*sol)->obj = origprob->objoffset;
345  (*sol)->primalindex = -1;
346  (*sol)->index = stat->solindex;
347  (*sol)->hasinfval = FALSE;
348  stat->solindex++;
349  solStamp(*sol, stat, tree, TRUE);
350 
351  /* set solution type and creator depending on whether a heuristic or NULL is passed */
352  SCIPsolSetHeur(*sol, heur);
353 
354  SCIPsolResetViolations(*sol);
355 
356  SCIP_CALL( SCIPprimalSolCreated(primal, set, *sol) );
357 
358  return SCIP_OKAY;
359 }
360 
361 /** creates a copy of a primal CIP solution */
362 SCIP_RETCODE SCIPsolCopy(
363  SCIP_SOL** sol, /**< pointer to store the copy of the primal CIP solution */
364  BMS_BLKMEM* blkmem, /**< block memory */
365  SCIP_SET* set, /**< global SCIP settings */
366  SCIP_STAT* stat, /**< problem statistics data */
367  SCIP_PRIMAL* primal, /**< primal data */
368  SCIP_SOL* sourcesol /**< primal CIP solution to copy */
369  )
370 {
371  assert(sol != NULL);
372  assert(sourcesol != NULL);
373 
374  SCIP_ALLOC( BMSallocBlockMemory(blkmem, sol) );
375  SCIP_CALL( SCIPrealarrayCopy(&(*sol)->vals, blkmem, sourcesol->vals) );
376  SCIP_CALL( SCIPboolarrayCopy(&(*sol)->valid, blkmem, sourcesol->valid) );
377 
378  /* copy solution type and creator information */
379  switch( sourcesol->type )
380  {
381  case SCIP_SOLTYPE_UNKNOWN:
382  case SCIP_SOLTYPE_LPRELAX:
383  case SCIP_SOLTYPE_STRONGBRANCH:
384  case SCIP_SOLTYPE_PSEUDO:
385  (*sol)->type = sourcesol->type;
386  break;
387  case SCIP_SOLTYPE_HEUR:
388  SCIPsolSetHeur((*sol), SCIPsolGetHeur(sourcesol));
389  break;
390  case SCIP_SOLTYPE_RELAX:
391  SCIPsolSetRelax((*sol), SCIPsolGetRelax(sourcesol));
392  break;
393  default:
394  SCIPerrorMessage("Unknown source solution type %d!\n", sourcesol->type);
395  return SCIP_INVALIDDATA;
396  }
397  (*sol)->obj = sourcesol->obj;
398  (*sol)->primalindex = -1;
399  (*sol)->time = sourcesol->time;
400 #ifndef NDEBUG
401  (*sol)->lpcount = sourcesol->lpcount;
402 #endif
403  (*sol)->nodenum = sourcesol->nodenum;
404  (*sol)->solorigin = sourcesol->solorigin;
405  (*sol)->runnum = sourcesol->runnum;
406  (*sol)->depth = sourcesol->depth;
407  (*sol)->index = stat->solindex;
408  (*sol)->hasinfval = sourcesol->hasinfval;
409  stat->solindex++;
410  (*sol)->viol.absviolbounds = sourcesol->viol.absviolbounds;
411  (*sol)->viol.absviolcons = sourcesol->viol.absviolcons;
412  (*sol)->viol.absviolintegrality = sourcesol->viol.absviolintegrality;
413  (*sol)->viol.absviollprows = sourcesol->viol.absviollprows;
414  (*sol)->viol.relviolbounds = sourcesol->viol.relviolbounds;
415  (*sol)->viol.relviolcons = sourcesol->viol.relviolcons;
416  (*sol)->viol.relviollprows = sourcesol->viol.relviollprows;
417 
418  SCIP_CALL( SCIPprimalSolCreated(primal, set, *sol) );
419 
420  return SCIP_OKAY;
421 }
422 
423 /** transformes given original solution to the transformed space; a corresponding transformed solution has to be given
424  * which is copied into the existing solution and freed afterwards
425  */
426 SCIP_RETCODE SCIPsolTransform(
427  SCIP_SOL* sol, /**< primal CIP solution to change, living in original space */
428  SCIP_SOL** transsol, /**< pointer to corresponding transformed primal CIP solution */
429  BMS_BLKMEM* blkmem, /**< block memory */
430  SCIP_SET* set, /**< global SCIP settings */
431  SCIP_PRIMAL* primal /**< primal data */
432  )
433 { /*lint --e{715}*/
434  SCIP_REALARRAY* tmpvals;
435  SCIP_BOOLARRAY* tmpvalid;
436  SCIP_SOL* tsol;
437 
438  assert(sol != NULL);
439  assert(transsol != NULL);
440  assert(set != NULL);
441  assert(SCIPsolIsOriginal(sol));
442  assert(sol->primalindex > -1);
443 
444  tsol = *transsol;
445  assert(tsol != NULL);
446  assert(!SCIPsolIsOriginal(tsol));
447 
448  /* switch vals and valid arrays; the exisiting solution gets the arrays of the transformed solution;
449  * the transformed one gets the original arrays, because they have to be freed anyway and freeing the transsol
450  * automatically frees its arrays
451  */
452  tmpvals = sol->vals;
453  tmpvalid = sol->valid;
454  sol->vals = tsol->vals;
455  sol->valid = tsol->valid;
456  tsol->vals = tmpvals;
457  tsol->valid = tmpvalid;
458 
459  /* copy solorigin and objective (should be the same, only to avoid numerical issues);
460  * we keep the other statistics of the original solution, since that was the first time that this solution as found
461  */
462  sol->solorigin = tsol->solorigin;
463  sol->obj = tsol->obj;
464 
465  SCIP_CALL( SCIPsolFree(transsol, blkmem, primal) );
466 
467  return SCIP_OKAY;
468 }
469 
470 /** adjusts solution values of implicit integer variables in handed solution. Solution objective value is not
471  * deteriorated by this method.
472  */
473 SCIP_RETCODE SCIPsolAdjustImplicitSolVals(
474  SCIP_SOL* sol, /**< primal CIP solution */
475  SCIP_SET* set, /**< global SCIP settings */
476  SCIP_STAT* stat, /**< problem statistics data */
477  SCIP_PROB* prob, /**< either original or transformed problem, depending on sol origin */
478  SCIP_TREE* tree, /**< branch and bound tree */
479  SCIP_Bool uselprows /**< should LP row information be considered for none-objective variables */
480  )
481 {
482  SCIP_VAR** vars;
483  int nimplvars;
484  int nbinvars;
485  int nintvars;
486  int v;
487 
488  assert(sol != NULL);
489  assert(prob != NULL);
490 
491  /* get variable data */
492  vars = SCIPprobGetVars(prob);
493  nbinvars = SCIPprobGetNBinVars(prob);
494  nintvars = SCIPprobGetNIntVars(prob);
495  nimplvars = SCIPprobGetNImplVars(prob);
496 
497  if( nimplvars == 0 )
498  return SCIP_OKAY;
499 
500  /* calculate the last array position of implicit integer variables */
501  nimplvars = nbinvars + nintvars + nimplvars;
502 
503  /* loop over implicit integer variables and round them up or down */
504  for( v = nbinvars + nintvars; v < nimplvars; ++v )
505  {
506  SCIP_VAR* var;
507  SCIP_Real solval;
508  SCIP_Real obj;
509  SCIP_Real newsolval;
510  SCIP_Bool roundup;
511  SCIP_Bool rounddown;
512  int nuplocks;
513  int ndownlocks;
514 
515  var = vars[v];
516 
517  assert( SCIPvarGetType(var) == SCIP_VARTYPE_IMPLINT );
518  solval = SCIPsolGetVal(sol, set, stat, var);
519 
520  /* we do not need to round integral solution values or those of variables which are not column variables */
521  if( SCIPsetIsFeasIntegral(set, solval) || SCIPvarGetStatus(var) != SCIP_VARSTATUS_COLUMN )
522  continue;
523 
524  nuplocks = SCIPvarGetNLocksUpType(var, SCIP_LOCKTYPE_MODEL);
525  ndownlocks = SCIPvarGetNLocksDownType(var, SCIP_LOCKTYPE_MODEL);
526  obj = SCIPvarGetUnchangedObj(var);
527 
528  roundup = FALSE;
529  rounddown = FALSE;
530 
531  /* in case of a non-zero objective coefficient, there is only one possible rounding direction */
532  if( SCIPsetIsFeasNegative(set, obj) )
533  roundup = TRUE;
534  else if( SCIPsetIsFeasPositive(set, obj) )
535  rounddown = TRUE;
536  else if( uselprows )
537  {
538  /* determine rounding direction based on row violations */
539  SCIP_COL* col;
540  SCIP_ROW** rows;
541  SCIP_Real* vals;
542  int nrows;
543  int r;
544 
545  col = SCIPvarGetCol(var);
546  vals = SCIPcolGetVals(col);
547  rows = SCIPcolGetRows(col);
548  nrows = SCIPcolGetNNonz(col);
549 
550  /* loop over rows and search for equations whose violation can be decreased by rounding */
551  for( r = 0; r < nrows && !(roundup && rounddown); ++r )
552  {
553  SCIP_ROW* row;
554  SCIP_Real activity;
555  SCIP_Real rhs;
556  SCIP_Real lhs;
557 
558  row = rows[r];
559 
560  if( SCIProwIsLocal(row) || !SCIProwIsInLP(row) )
561  continue;
562 
563  rhs = SCIProwGetRhs(row);
564  lhs = SCIProwGetLhs(row);
565 
566  if( SCIPsetIsInfinity(set, rhs) || SCIPsetIsInfinity(set, -lhs) )
567  continue;
568 
569  activity = SCIProwGetSolActivity(row, set, stat, sol);
570  if( SCIPsetIsFeasLE(set, activity, rhs) && SCIPsetIsFeasLE(set, lhs, activity) )
571  continue;
572 
573  assert(! SCIPsetIsZero(set, vals[r]));
574  if( (SCIPsetIsFeasGT(set, activity, rhs) && SCIPsetIsPositive(set, vals[r]))
575  || (SCIPsetIsFeasLT(set, activity, lhs) && SCIPsetIsNegative(set, vals[r])) )
576  rounddown = TRUE;
577  else
578  roundup = TRUE;
579  }
580  }
581 
582  /* in case of a tie, we select the rounding step based on the number of variable locks */
583  if( roundup == rounddown )
584  {
585  rounddown = ndownlocks <= nuplocks;
586  roundup = !rounddown;
587  }
588 
589  /* round the variable up or down */
590  if( roundup )
591  {
592  newsolval = SCIPsetCeil(set, solval);
593  assert(SCIPsetIsFeasLE(set, newsolval, SCIPvarGetUbGlobal(var)));
594  }
595  else
596  {
597  assert( rounddown ); /* should be true because of the code above */
598  newsolval = SCIPsetFloor(set, solval);
599  assert(SCIPsetIsFeasGE(set, newsolval, SCIPvarGetLbGlobal(var)));
600  }
601 
602  SCIP_CALL( SCIPsolSetVal(sol, set, stat, tree, var, newsolval) );
603  }
604 
605  return SCIP_OKAY;
606 }
607 /** creates primal CIP solution, initialized to the current LP solution */
608 SCIP_RETCODE SCIPsolCreateLPSol(
609  SCIP_SOL** sol, /**< pointer to primal CIP solution */
610  BMS_BLKMEM* blkmem, /**< block memory */
611  SCIP_SET* set, /**< global SCIP settings */
612  SCIP_STAT* stat, /**< problem statistics data */
613  SCIP_PROB* prob, /**< transformed problem data */
614  SCIP_PRIMAL* primal, /**< primal data */
615  SCIP_TREE* tree, /**< branch and bound tree */
616  SCIP_LP* lp, /**< current LP data */
617  SCIP_HEUR* heur /**< heuristic that found the solution (or NULL if it's from the tree) */
618  )
619 {
620  assert(sol != NULL);
621  assert(lp != NULL);
622  assert(SCIPlpIsSolved(lp));
623 
624  SCIP_CALL( SCIPsolCreate(sol, blkmem, set, stat, primal, tree, heur) );
625  SCIP_CALL( SCIPsolLinkLPSol(*sol, set, stat, prob, tree, lp) );
626 
627  return SCIP_OKAY;
628 }
629 
630 /** creates primal CIP solution, initialized to the current NLP solution */
631 SCIP_RETCODE SCIPsolCreateNLPSol(
632  SCIP_SOL** sol, /**< pointer to primal CIP solution */
633  BMS_BLKMEM* blkmem, /**< block memory */
634  SCIP_SET* set, /**< global SCIP settings */
635  SCIP_STAT* stat, /**< problem statistics data */
636  SCIP_PRIMAL* primal, /**< primal data */
637  SCIP_TREE* tree, /**< branch and bound tree */
638  SCIP_NLP* nlp, /**< current NLP data */
639  SCIP_HEUR* heur /**< heuristic that found the solution (or NULL if it's from the tree) */
640  )
641 {
642  assert(sol != NULL);
643  assert(nlp != NULL);
644 
645  SCIP_CALL( SCIPsolCreate(sol, blkmem, set, stat, primal, tree, heur) );
646  SCIP_CALL( SCIPsolLinkNLPSol(*sol, stat, tree, nlp) );
647 
648  return SCIP_OKAY;
649 }
650 
651 /** creates primal CIP solution, initialized to the current relaxation solution */
652 SCIP_RETCODE SCIPsolCreateRelaxSol(
653  SCIP_SOL** sol, /**< pointer to primal CIP solution */
654  BMS_BLKMEM* blkmem, /**< block memory */
655  SCIP_SET* set, /**< global SCIP settings */
656  SCIP_STAT* stat, /**< problem statistics data */
657  SCIP_PRIMAL* primal, /**< primal data */
658  SCIP_TREE* tree, /**< branch and bound tree */
659  SCIP_RELAXATION* relaxation, /**< global relaxation data */
660  SCIP_HEUR* heur /**< heuristic that found the solution (or NULL if it's from the tree) */
661  )
662 {
663  assert(sol != NULL);
664  assert(relaxation != NULL);
665  assert(SCIPrelaxationIsSolValid(relaxation));
666 
667  SCIP_CALL( SCIPsolCreate(sol, blkmem, set, stat, primal, tree, heur) );
668  SCIP_CALL( SCIPsolLinkRelaxSol(*sol, set, stat, tree, relaxation) );
669 
670  /* update solution type and store relaxator as creator only if no heuristic is specified as creator */
671  if( heur == NULL )
672  SCIPsolSetRelax(*sol, SCIPrelaxationGetSolRelax(relaxation));
673 
674  return SCIP_OKAY;
675 }
676 
677 /** creates primal CIP solution, initialized to the current pseudo solution */
678 SCIP_RETCODE SCIPsolCreatePseudoSol(
679  SCIP_SOL** sol, /**< pointer to primal CIP solution */
680  BMS_BLKMEM* blkmem, /**< block memory */
681  SCIP_SET* set, /**< global SCIP settings */
682  SCIP_STAT* stat, /**< problem statistics data */
683  SCIP_PROB* prob, /**< transformed problem data */
684  SCIP_PRIMAL* primal, /**< primal data */
685  SCIP_TREE* tree, /**< branch and bound tree, or NULL */
686  SCIP_LP* lp, /**< current LP data */
687  SCIP_HEUR* heur /**< heuristic that found the solution (or NULL if it's from the tree) */
688  )
689 {
690  assert(sol != NULL);
691 
692  SCIP_CALL( SCIPsolCreate(sol, blkmem, set, stat, primal, tree, heur) );
693  SCIP_CALL( SCIPsolLinkPseudoSol(*sol, set, stat, prob, tree, lp) );
694 
695  /* update solution type to pseudo solution */
696  if( heur == NULL )
697  SCIPsolSetPseudo(*sol);
698 
699  return SCIP_OKAY;
700 }
701 
702 /** creates primal CIP solution, initialized to the current solution */
703 SCIP_RETCODE SCIPsolCreateCurrentSol(
704  SCIP_SOL** sol, /**< pointer to primal CIP solution */
705  BMS_BLKMEM* blkmem, /**< block memory */
706  SCIP_SET* set, /**< global SCIP settings */
707  SCIP_STAT* stat, /**< problem statistics data */
708  SCIP_PROB* prob, /**< transformed problem data */
709  SCIP_PRIMAL* primal, /**< primal data */
710  SCIP_TREE* tree, /**< branch and bound tree */
711  SCIP_LP* lp, /**< current LP data */
712  SCIP_HEUR* heur /**< heuristic that found the solution (or NULL if it's from the tree) */
713  )
714 {
715  assert(tree != NULL);
716 
717  if( SCIPtreeHasCurrentNodeLP(tree) )
718  {
719  SCIP_CALL( SCIPsolCreateLPSol(sol, blkmem, set, stat, prob, primal, tree, lp, heur) );
720  }
721  else
722  {
723  SCIP_CALL( SCIPsolCreatePseudoSol(sol, blkmem, set, stat, prob, primal, tree, lp, heur) );
724  }
725 
726  return SCIP_OKAY;
727 }
728 
729 /** creates partial primal CIP solution, initialized to unknown values */
730 SCIP_RETCODE SCIPsolCreatePartial(
731  SCIP_SOL** sol, /**< pointer to primal CIP solution */
732  BMS_BLKMEM* blkmem, /**< block memory */
733  SCIP_SET* set, /**< global SCIP settings */
734  SCIP_STAT* stat, /**< problem statistics data */
735  SCIP_PRIMAL* primal, /**< primal data */
736  SCIP_HEUR* heur /**< heuristic that found the solution (or NULL if it's from the tree) */
737  )
738 {
739  assert(sol != NULL);
740  assert(blkmem != NULL);
741  assert(set != NULL);
742  assert(stat != NULL);
743  assert(primal != NULL);
744 
745  SCIP_ALLOC( BMSallocBlockMemory(blkmem, sol) );
746  SCIP_CALL( SCIPrealarrayCreate(&(*sol)->vals, blkmem) );
747  SCIP_CALL( SCIPboolarrayCreate(&(*sol)->valid, blkmem) );
748  (*sol)->solorigin = SCIP_SOLORIGIN_PARTIAL;
749  (*sol)->obj = SCIP_UNKNOWN;
750  (*sol)->primalindex = -1;
751  (*sol)->index = stat->solindex;
752  (*sol)->hasinfval = FALSE;
753  stat->solindex++;
754  solStamp(*sol, stat, NULL, TRUE);
755  SCIPsolResetViolations(*sol);
756 
757  /* set solution type and creator depending on whether a heuristic or NULL is passed */
758  SCIPsolSetHeur(*sol, heur);
759 
760  SCIP_CALL( SCIPprimalSolCreated(primal, set, *sol) );
761 
762  return SCIP_OKAY;
763 }
764 
765 /** creates primal CIP solution, initialized to unknown values */
766 SCIP_RETCODE SCIPsolCreateUnknown(
767  SCIP_SOL** sol, /**< pointer to primal CIP solution */
768  BMS_BLKMEM* blkmem, /**< block memory */
769  SCIP_SET* set, /**< global SCIP settings */
770  SCIP_STAT* stat, /**< problem statistics data */
771  SCIP_PRIMAL* primal, /**< primal data */
772  SCIP_TREE* tree, /**< branch and bound tree */
773  SCIP_HEUR* heur /**< heuristic that found the solution (or NULL if it's from the tree) */
774  )
775 {
776  assert(sol != NULL);
777  assert(blkmem != NULL);
778  assert(stat != NULL);
779 
780  SCIP_ALLOC( BMSallocBlockMemory(blkmem, sol) );
781  SCIP_CALL( SCIPrealarrayCreate(&(*sol)->vals, blkmem) );
782  SCIP_CALL( SCIPboolarrayCreate(&(*sol)->valid, blkmem) );
783  (*sol)->solorigin = SCIP_SOLORIGIN_UNKNOWN;
784  (*sol)->obj = 0.0;
785  (*sol)->primalindex = -1;
786  (*sol)->index = stat->solindex;
787  (*sol)->hasinfval = FALSE;
788  stat->solindex++;
789  solStamp(*sol, stat, tree, TRUE);
790  SCIPsolResetViolations(*sol);
791 
792  /* set solution type and creator depending on whether a heuristic or NULL is passed */
793  SCIPsolSetHeur(*sol, heur);
794 
795  SCIP_CALL( SCIPprimalSolCreated(primal, set, *sol) );
796 
797  return SCIP_OKAY;
798 }
799 
800 /** frees primal CIP solution */
801 SCIP_RETCODE SCIPsolFree(
802  SCIP_SOL** sol, /**< pointer to primal CIP solution */
803  BMS_BLKMEM* blkmem, /**< block memory */
804  SCIP_PRIMAL* primal /**< primal data */
805  )
806 {
807  assert(sol != NULL);
808  assert(*sol != NULL);
809 
810  SCIPprimalSolFreed(primal, *sol);
811 
812  SCIP_CALL( SCIPrealarrayFree(&(*sol)->vals) );
813  SCIP_CALL( SCIPboolarrayFree(&(*sol)->valid) );
814  BMSfreeBlockMemory(blkmem, sol);
815 
816  return SCIP_OKAY;
817 }
818 
819 /** copies current LP solution into CIP solution by linking */
820 SCIP_RETCODE SCIPsolLinkLPSol(
821  SCIP_SOL* sol, /**< primal CIP solution */
822  SCIP_SET* set, /**< global SCIP settings */
823  SCIP_STAT* stat, /**< problem statistics data */
824  SCIP_PROB* prob, /**< transformed problem data */
825  SCIP_TREE* tree, /**< branch and bound tree */
826  SCIP_LP* lp /**< current LP data */
827  )
828 {
829  assert(sol != NULL);
830  assert(stat != NULL);
831  assert(tree != NULL);
832  assert(lp != NULL);
833  assert(lp->solved);
834  assert(SCIPlpDiving(lp) || SCIPtreeProbing(tree) || !SCIPlpDivingObjChanged(lp));
835 
836  SCIPsetDebugMsg(set, "linking solution to LP\n");
837 
838  /* clear the old solution arrays */
839  SCIP_CALL( solClearArrays(sol) );
840 
841  /* link solution to LP solution */
842  if( SCIPlpDivingObjChanged(lp) )
843  {
844  /* the objective value has to be calculated manually, because the LP's value is invalid;
845  * use objective values of variables, because columns objective values are changed to dive values
846  */
847  sol->obj = SCIPlpGetLooseObjval(lp, set, prob);
848  if( !SCIPsetIsInfinity(set, -sol->obj) )
849  {
850  SCIP_VAR* var;
851  SCIP_COL** cols;
852  int ncols;
853  int c;
854 
855  cols = SCIPlpGetCols(lp);
856  ncols = SCIPlpGetNCols(lp);
857  for( c = 0; c < ncols; ++c )
858  {
859  var = SCIPcolGetVar(cols[c]);
860  sol->obj += SCIPvarGetUnchangedObj(var) * cols[c]->primsol;
861  }
862  }
863  }
864  else
865  {
866  /* the objective value in the columns is correct, s.t. the LP's objective value is also correct */
867  sol->obj = SCIPlpGetObjval(lp, set, prob);
868  }
869  sol->solorigin = SCIP_SOLORIGIN_LPSOL;
870  solStamp(sol, stat, tree, TRUE);
871 
872  SCIPsetDebugMsg(set, " -> objective value: %g\n", sol->obj);
873 
874  return SCIP_OKAY;
875 }
876 
877 /** copies current NLP solution into CIP solution by linking */
878 SCIP_RETCODE SCIPsolLinkNLPSol(
879  SCIP_SOL* sol, /**< primal CIP solution */
880  SCIP_STAT* stat, /**< problem statistics data */
881  SCIP_TREE* tree, /**< branch and bound tree */
882  SCIP_NLP* nlp /**< current NLP data */
883  )
884 {
885  assert(sol != NULL);
886  assert(stat != NULL);
887  assert(tree != NULL);
888  assert(nlp != NULL);
889  assert(SCIPnlpHasSolution(nlp));
890 
891  SCIPstatDebugMsg(stat, "linking solution to NLP\n");
892 
893  /* clear the old solution arrays */
894  SCIP_CALL( solClearArrays(sol) );
895 
896  /* get objective value of NLP solution */
897  if( SCIPnlpIsDivingObjChanged(nlp) )
898  {
899  /* the objective value has to be calculated manually, because the NLP's value is invalid */
900 
901  SCIP_VAR** vars;
902  int nvars;
903  int v;
904 
905  sol->obj = 0.0;
906 
907  vars = SCIPnlpGetVars(nlp);
908  nvars = SCIPnlpGetNVars(nlp);
909  for( v = 0; v < nvars; ++v )
910  {
911  assert(SCIPvarIsActive(vars[v]));
912  sol->obj += SCIPvarGetUnchangedObj(vars[v]) * SCIPvarGetNLPSol(vars[v]);
913  }
914  }
915  else
916  {
917  sol->obj = SCIPnlpGetObjval(nlp);
918  }
919 
920  sol->solorigin = SCIP_SOLORIGIN_NLPSOL;
921  solStamp(sol, stat, tree, TRUE);
922 
923  SCIPstatDebugMsg(stat, " -> objective value: %g\n", sol->obj);
924 
925  return SCIP_OKAY;
926 }
927 
928 /** copies current relaxation solution into CIP solution by linking */
929 SCIP_RETCODE SCIPsolLinkRelaxSol(
930  SCIP_SOL* sol, /**< primal CIP solution */
931  SCIP_SET* set, /**< global SCIP settings */
932  SCIP_STAT* stat, /**< problem statistics data */
933  SCIP_TREE* tree, /**< branch and bound tree */
934  SCIP_RELAXATION* relaxation /**< global relaxation data */
935  )
936 { /*lint --e{715}*/
937  assert(sol != NULL);
938  assert(stat != NULL);
939  assert(tree != NULL);
940  assert(relaxation != NULL);
941  assert(SCIPrelaxationIsSolValid(relaxation));
942 
943  SCIPsetDebugMsg(set, "linking solution to relaxation\n");
944 
945  /* clear the old solution arrays */
946  SCIP_CALL( solClearArrays(sol) );
947 
948  /* the objective value in the columns is correct, s.t. the LP's objective value is also correct */
949  sol->obj = SCIPrelaxationGetSolObj(relaxation);
950  sol->solorigin = SCIP_SOLORIGIN_RELAXSOL;
951  solStamp(sol, stat, tree, TRUE);
952 
953  SCIPsetDebugMsg(set, " -> objective value: %g\n", sol->obj);
954 
955  return SCIP_OKAY;
956 }
957 
958 /** copies current pseudo solution into CIP solution by linking */
959 SCIP_RETCODE SCIPsolLinkPseudoSol(
960  SCIP_SOL* sol, /**< primal CIP solution */
961  SCIP_SET* set, /**< global SCIP settings */
962  SCIP_STAT* stat, /**< problem statistics data */
963  SCIP_PROB* prob, /**< transformed problem data */
964  SCIP_TREE* tree, /**< branch and bound tree, or NULL */
965  SCIP_LP* lp /**< current LP data */
966  )
967 {
968  assert(sol != NULL);
969  assert(stat != NULL);
970  assert(tree != NULL);
971 
972  SCIPsetDebugMsg(set, "linking solution to pseudo solution\n");
973 
974  /* clear the old solution arrays */
975  SCIP_CALL( solClearArrays(sol) );
976 
977  /* link solution to pseudo solution */
978  sol->obj = SCIPlpGetPseudoObjval(lp, set, prob);
979  sol->solorigin = SCIP_SOLORIGIN_PSEUDOSOL;
980  solStamp(sol, stat, tree, TRUE);
981 
982  SCIPsetDebugMsg(set, " -> objective value: %g\n", sol->obj);
983 
984  return SCIP_OKAY;
985 }
986 
987 /** copies current solution (LP or pseudo solution) into CIP solution by linking */
988 SCIP_RETCODE SCIPsolLinkCurrentSol(
989  SCIP_SOL* sol, /**< primal CIP solution */
990  SCIP_SET* set, /**< global SCIP settings */
991  SCIP_STAT* stat, /**< problem statistics data */
992  SCIP_PROB* prob, /**< transformed problem data */
993  SCIP_TREE* tree, /**< branch and bound tree */
994  SCIP_LP* lp /**< current LP data */
995  )
996 {
997  assert(tree != NULL);
998 
999  SCIPsetDebugMsg(set, "linking solution to current solution\n");
1000 
1001  if( SCIPtreeHasCurrentNodeLP(tree) && SCIPlpIsSolved(lp) )
1002  {
1003  SCIP_CALL( SCIPsolLinkLPSol(sol, set, stat, prob, tree, lp) );
1004  }
1005  else
1006  {
1007  SCIP_CALL( SCIPsolLinkPseudoSol(sol, set, stat, prob, tree, lp) );
1008  }
1009 
1010  return SCIP_OKAY;
1011 }
1012 
1013 /** clears primal CIP solution */
1014 SCIP_RETCODE SCIPsolClear(
1015  SCIP_SOL* sol, /**< primal CIP solution */
1016  SCIP_STAT* stat, /**< problem statistics data */
1017  SCIP_TREE* tree /**< branch and bound tree */
1018  )
1019 {
1020  assert(sol != NULL);
1021 
1022  SCIP_CALL( solClearArrays(sol) );
1023  sol->solorigin = SCIP_SOLORIGIN_ZERO;
1024  sol->obj = 0.0;
1025  solStamp(sol, stat, tree, TRUE);
1026 
1027  return SCIP_OKAY;
1028 }
1029 
1030 /** declares all entries in the primal CIP solution to be unknown */
1031 SCIP_RETCODE SCIPsolSetUnknown(
1032  SCIP_SOL* sol, /**< primal CIP solution */
1033  SCIP_STAT* stat, /**< problem statistics data */
1034  SCIP_TREE* tree /**< branch and bound tree */
1035  )
1036 {
1037  assert(sol != NULL);
1038 
1039  SCIP_CALL( solClearArrays(sol) );
1040  sol->solorigin = SCIP_SOLORIGIN_UNKNOWN;
1041  sol->obj = 0.0;
1042  solStamp(sol, stat, tree, TRUE);
1043 
1044  return SCIP_OKAY;
1045 }
1046 
1047 /** stores solution values of variables in solution's own array */
1048 SCIP_RETCODE SCIPsolUnlink(
1049  SCIP_SOL* sol, /**< primal CIP solution */
1050  SCIP_SET* set, /**< global SCIP settings */
1051  SCIP_PROB* prob /**< transformed problem data */
1052  )
1053 {
1054  int v;
1055 
1056  assert(sol != NULL);
1057  assert(prob != NULL);
1058  assert(prob->nvars == 0 || prob->vars != NULL);
1059 
1060  if( !SCIPsolIsOriginal(sol) && sol->solorigin != SCIP_SOLORIGIN_ZERO
1061  && sol->solorigin != SCIP_SOLORIGIN_UNKNOWN )
1062  {
1063  SCIPsetDebugMsg(set, "completing solution %p\n", (void*)sol);
1064 
1065  for( v = 0; v < prob->nvars; ++v )
1066  {
1067  SCIP_CALL( solUnlinkVar(sol, set, prob->vars[v]) );
1068  }
1069 
1070  sol->solorigin = SCIP_SOLORIGIN_ZERO;
1071  }
1072 
1073  return SCIP_OKAY;
1074 }
1075 
1076 /** sets value of variable in primal CIP solution */
1077 SCIP_RETCODE SCIPsolSetVal(
1078  SCIP_SOL* sol, /**< primal CIP solution */
1079  SCIP_SET* set, /**< global SCIP settings */
1080  SCIP_STAT* stat, /**< problem statistics data */
1081  SCIP_TREE* tree, /**< branch and bound tree, or NULL */
1082  SCIP_VAR* var, /**< variable to add to solution */
1083  SCIP_Real val /**< solution value of variable */
1084  )
1085 {
1086  SCIP_Real oldval;
1087 
1088  assert(sol != NULL);
1089  assert(stat != NULL);
1090  assert(sol->solorigin == SCIP_SOLORIGIN_ORIGINAL
1091  || sol->solorigin == SCIP_SOLORIGIN_ZERO
1092  || sol->solorigin == SCIP_SOLORIGIN_PARTIAL
1093  || sol->solorigin == SCIP_SOLORIGIN_UNKNOWN
1094  || (sol->nodenum == stat->nnodes && sol->runnum == stat->nruns));
1095  assert(var != NULL);
1096  assert(SCIPisFinite(val));
1097 
1098  SCIPsetDebugMsg(set, "setting value of <%s> in solution %p to %g\n", SCIPvarGetName(var), (void*)sol, val);
1099 
1100  /* we want to store only values for non fixed variables (LOOSE or COLUMN); others have to be transformed */
1101  switch( SCIPvarGetStatus(var) )
1102  {
1103  case SCIP_VARSTATUS_ORIGINAL:
1104  if( SCIPsolIsOriginal(sol) )
1105  {
1106  oldval = solGetArrayVal(sol, var);
1107 
1108  if( val != oldval ) /*lint !e777*/
1109  {
1110  SCIP_CALL( solSetArrayVal(sol, set, var, val) );
1111 
1112  /* update the objective value; we do not need to do this for invalid objectives or partial solutions */
1113  if( sol->obj != SCIP_INVALID && !SCIPsolIsPartial(sol) ) /*lint !e777*/
1114  {
1115  SCIP_Real obj;
1116  SCIP_Real oldobjcont;
1117  SCIP_Real newobjcont;
1118 
1119  /* an unknown solution value does not count towards the objective */
1120  obj = SCIPvarGetUnchangedObj(var);
1121  oldobjcont = (oldval == SCIP_UNKNOWN ? 0.0 : obj * oldval); /*lint !e777*/
1122  newobjcont = (val == SCIP_UNKNOWN ? 0.0 : obj * val); /*lint !e777*/
1123 
1124  /* we want to use a safe invalid if the contribution exchange contradicts the infinity status of the objective value */
1125  if( SCIPsetIsInfinity(set, sol->obj) )
1126  {
1127  if( ( SCIPsetIsInfinity(set, oldobjcont) && !SCIPsetIsInfinity(set, newobjcont) )
1128  || ( !SCIPsetIsInfinity(set, -oldobjcont) && SCIPsetIsInfinity(set, -newobjcont) ) )
1129  sol->obj = SCIP_INVALID;
1130  }
1131  else if( SCIPsetIsInfinity(set, -sol->obj) )
1132  {
1133  if( ( SCIPsetIsInfinity(set, -oldobjcont) && !SCIPsetIsInfinity(set, -newobjcont) )
1134  || ( !SCIPsetIsInfinity(set, oldobjcont) && SCIPsetIsInfinity(set, newobjcont) ) )
1135  sol->obj = SCIP_INVALID;
1136  }
1137  /* we want to use a clean infinity if the contribution exchange or the resulting objective hits the infinity bound */
1138  else
1139  {
1140  if( !SCIPsetIsInfinity(set, MAX(ABS(oldobjcont), ABS(newobjcont))) )
1141  {
1142  sol->obj -= oldobjcont;
1143  sol->obj += newobjcont;
1144 
1145  if( SCIPsetIsInfinity(set, sol->obj) )
1146  sol->obj = SCIPsetInfinity(set);
1147  else if( SCIPsetIsInfinity(set, -sol->obj) )
1148  sol->obj = -SCIPsetInfinity(set);
1149  }
1150  else if( !SCIPsetIsInfinity(set, MAX(oldobjcont, -newobjcont)) )
1151  sol->obj = SCIPsetInfinity(set);
1152  else if( !SCIPsetIsInfinity(set, MAX(-oldobjcont, newobjcont)) )
1153  sol->obj = -SCIPsetInfinity(set);
1154  }
1155  }
1156 
1157  solStamp(sol, stat, tree, FALSE);
1158  }
1159  return SCIP_OKAY;
1160  }
1161  else
1162  return SCIPsolSetVal(sol, set, stat, tree, SCIPvarGetTransVar(var), val);
1163 
1164  case SCIP_VARSTATUS_LOOSE:
1165  case SCIP_VARSTATUS_COLUMN:
1166  assert(!SCIPsolIsOriginal(sol));
1167  assert(sol->solorigin != SCIP_SOLORIGIN_LPSOL || SCIPboolarrayGetVal(sol->valid, SCIPvarGetIndex(var))
1168  || sol->lpcount == stat->lpcount);
1169  oldval = solGetArrayVal(sol, var);
1170  if( val != oldval ) /*lint !e777*/
1171  {
1172  SCIP_CALL( solSetArrayVal(sol, set, var, val) );
1173 
1174  /* update the objective value; we do not need to do this for invalid objectives */
1175  if( sol->obj != SCIP_INVALID ) /*lint !e777*/
1176  {
1177  SCIP_Real obj;
1178  SCIP_Real oldobjcont;
1179  SCIP_Real newobjcont;
1180 
1181  /* an unknown solution value does not count towards the objective */
1182  obj = SCIPvarGetUnchangedObj(var);
1183  oldobjcont = (oldval == SCIP_UNKNOWN ? 0.0 : obj * oldval); /*lint !e777*/
1184  newobjcont = (val == SCIP_UNKNOWN ? 0.0 : obj * val); /*lint !e777*/
1185 
1186  /* we want to use a safe invalid if the contribution exchange contradicts the infinity status of the objective value */
1187  if( SCIPsetIsInfinity(set, sol->obj) )
1188  {
1189  if( ( SCIPsetIsInfinity(set, oldobjcont) && !SCIPsetIsInfinity(set, newobjcont) )
1190  || ( !SCIPsetIsInfinity(set, -oldobjcont) && SCIPsetIsInfinity(set, -newobjcont) ) )
1191  sol->obj = SCIP_INVALID;
1192  }
1193  else if( SCIPsetIsInfinity(set, -sol->obj) )
1194  {
1195  if( ( SCIPsetIsInfinity(set, -oldobjcont) && !SCIPsetIsInfinity(set, -newobjcont) )
1196  || ( !SCIPsetIsInfinity(set, oldobjcont) && SCIPsetIsInfinity(set, newobjcont) ) )
1197  sol->obj = SCIP_INVALID;
1198  }
1199  /* we want to use a clean infinity if the contribution exchange or the resulting objective hits the infinity bound */
1200  else
1201  {
1202  if( !SCIPsetIsInfinity(set, MAX(ABS(oldobjcont), ABS(newobjcont))) )
1203  {
1204  sol->obj -= oldobjcont;
1205  sol->obj += newobjcont;
1206 
1207  if( SCIPsetIsInfinity(set, sol->obj) )
1208  sol->obj = SCIPsetInfinity(set);
1209  else if( SCIPsetIsInfinity(set, -sol->obj) )
1210  sol->obj = -SCIPsetInfinity(set);
1211  }
1212  else if( !SCIPsetIsInfinity(set, MAX(oldobjcont, -newobjcont)) )
1213  sol->obj = SCIPsetInfinity(set);
1214  else if( !SCIPsetIsInfinity(set, MAX(-oldobjcont, newobjcont)) )
1215  sol->obj = -SCIPsetInfinity(set);
1216  }
1217  }
1218 
1219  solStamp(sol, stat, tree, FALSE);
1220  }
1221  return SCIP_OKAY;
1222 
1223  case SCIP_VARSTATUS_FIXED:
1224  assert(!SCIPsolIsOriginal(sol));
1225  oldval = SCIPvarGetLbGlobal(var);
1226  if( val != oldval ) /*lint !e777*/
1227  {
1228  SCIPerrorMessage("cannot set solution value for variable <%s> fixed to %.15g to different value %.15g\n",
1229  SCIPvarGetName(var), oldval, val);
1230  return SCIP_INVALIDDATA;
1231  }
1232  return SCIP_OKAY;
1233 
1234  case SCIP_VARSTATUS_AGGREGATED: /* x = a*y + c => y = (x-c)/a */
1235  assert(!SCIPsetIsZero(set, SCIPvarGetAggrScalar(var)));
1236  assert(!SCIPsetIsInfinity(set, SCIPvarGetAggrConstant(var)) && !SCIPsetIsInfinity(set, -SCIPvarGetAggrConstant(var)));
1237  assert(!SCIPsetIsInfinity(set, SCIPvarGetAggrScalar(var)) && !SCIPsetIsInfinity(set, -SCIPvarGetAggrScalar(var)));
1238 
1239  if( val == SCIP_UNKNOWN )/*lint !e777*/
1240  return SCIPsolSetVal(sol, set, stat, tree, SCIPvarGetAggrVar(var), val);
1241  if( SCIPsetIsInfinity(set, val) || SCIPsetIsInfinity(set, -val) )
1242  return SCIPsolSetVal(sol, set, stat, tree, SCIPvarGetAggrVar(var), SCIPvarGetAggrScalar(var) > 0 ? val : -val);
1243  else
1244  return SCIPsolSetVal(sol, set, stat, tree, SCIPvarGetAggrVar(var), (val - SCIPvarGetAggrConstant(var))/SCIPvarGetAggrScalar(var));
1245 
1246  case SCIP_VARSTATUS_MULTAGGR:
1247  if ( SCIPvarGetMultaggrNVars(var) == 1 )
1248  {
1249  SCIP_VAR** multaggrvars;
1250  SCIP_Real* multaggrscalars;
1251  SCIP_Real multaggrconstant;
1252 
1253  multaggrvars = SCIPvarGetMultaggrVars(var);
1254  multaggrscalars = SCIPvarGetMultaggrScalars(var);
1255  multaggrconstant = SCIPvarGetMultaggrConstant(var);
1256 
1257  if( SCIPsetIsInfinity(set, multaggrconstant) || SCIPsetIsInfinity(set, -multaggrconstant) )
1258  {
1259  if( (SCIPsetIsInfinity(set, multaggrconstant) && !SCIPsetIsInfinity(set, val))
1260  || (SCIPsetIsInfinity(set, -multaggrconstant) && !SCIPsetIsInfinity(set, -val)) )
1261  {
1262  SCIPerrorMessage("cannot set solution value for variable <%s> fixed to %.15g to different value %.15g\n",
1263  SCIPvarGetName(var), multaggrconstant, val);
1264  return SCIP_INVALIDDATA;
1265  }
1266  return SCIP_OKAY;
1267  }
1268  else
1269  {
1270  if( SCIPsetIsInfinity(set, val) || SCIPsetIsInfinity(set, -val) )
1271  return SCIPsolSetVal(sol, set, stat, tree, multaggrvars[0], multaggrscalars[0] > 0 ? val : -val);
1272  else
1273  return SCIPsolSetVal(sol, set, stat, tree, multaggrvars[0], (val - multaggrconstant)/multaggrscalars[0]);
1274  }
1275  }
1276  SCIPerrorMessage("cannot set solution value for multiple aggregated variable\n");
1277  return SCIP_INVALIDDATA;
1278 
1279  case SCIP_VARSTATUS_NEGATED:
1280  assert(!SCIPsetIsInfinity(set, SCIPvarGetNegationConstant(var)) && !SCIPsetIsInfinity(set, -SCIPvarGetNegationConstant(var)));
1281 
1282  if( val == SCIP_UNKNOWN )/*lint !e777*/
1283  return SCIPsolSetVal(sol, set, stat, tree, SCIPvarGetNegationVar(var), val);
1284  else if( SCIPsetIsInfinity(set, val) || SCIPsetIsInfinity(set, -val) )
1285  return SCIPsolSetVal(sol, set, stat, tree, SCIPvarGetNegationVar(var), -val);
1286  else
1287  return SCIPsolSetVal(sol, set, stat, tree, SCIPvarGetNegationVar(var), SCIPvarGetNegationConstant(var) - val);
1288 
1289  default:
1290  SCIPerrorMessage("unknown variable status\n");
1291  return SCIP_INVALIDDATA;
1292  }
1293 }
1294 
1295 /** increases value of variable in primal CIP solution */
1296 SCIP_RETCODE SCIPsolIncVal(
1297  SCIP_SOL* sol, /**< primal CIP solution */
1298  SCIP_SET* set, /**< global SCIP settings */
1299  SCIP_STAT* stat, /**< problem statistics data */
1300  SCIP_TREE* tree, /**< branch and bound tree */
1301  SCIP_VAR* var, /**< variable to increase solution value for */
1302  SCIP_Real incval /**< increment for solution value of variable */
1303  )
1304 {
1305  SCIP_Real oldval;
1306 
1307  assert(sol != NULL);
1308  assert(stat != NULL);
1309  assert(sol->solorigin == SCIP_SOLORIGIN_ORIGINAL
1310  || sol->solorigin == SCIP_SOLORIGIN_ZERO
1311  || (sol->nodenum == stat->nnodes && sol->runnum == stat->nruns));
1312  assert(var != NULL);
1313  assert(!SCIPsetIsInfinity(set, incval) && !SCIPsetIsInfinity(set, -incval));
1314 
1315  SCIPsetDebugMsg(set, "increasing value of <%s> in solution %p by %g\n", SCIPvarGetName(var), (void*)sol, incval);
1316 
1317  if( incval == 0.0 )
1318  return SCIP_OKAY;
1319 
1320  assert(sol->solorigin != SCIP_SOLORIGIN_LPSOL || SCIPboolarrayGetVal(sol->valid, SCIPvarGetIndex(var))
1321  || sol->lpcount == stat->lpcount);
1322 
1323  oldval = solGetArrayVal(sol, var);
1324  if( SCIPsetIsInfinity(set, oldval) || SCIPsetIsInfinity(set, -oldval) )
1325  return SCIP_OKAY;
1326 
1327  /* we want to store only values for non fixed variables (LOOSE or COLUMN); others have to be transformed */
1328  /* @todo: handle strange cases, such as sums that yield infinite values */
1329  switch( SCIPvarGetStatus(var) )
1330  {
1331  case SCIP_VARSTATUS_ORIGINAL:
1332  if( SCIPsolIsOriginal(sol) )
1333  {
1334  SCIP_CALL( solIncArrayVal(sol, set, var, incval) );
1335  sol->obj += SCIPvarGetUnchangedObj(var) * incval;
1336  solStamp(sol, stat, tree, FALSE);
1337  return SCIP_OKAY;
1338  }
1339  else
1340  return SCIPsolIncVal(sol, set, stat, tree, SCIPvarGetTransVar(var), incval);
1341 
1342  case SCIP_VARSTATUS_LOOSE:
1343  case SCIP_VARSTATUS_COLUMN:
1344  assert(!SCIPsolIsOriginal(sol));
1345  SCIP_CALL( solIncArrayVal(sol, set, var, incval) );
1346  sol->obj += SCIPvarGetUnchangedObj(var) * incval;
1347  solStamp(sol, stat, tree, FALSE);
1348  return SCIP_OKAY;
1349 
1350  case SCIP_VARSTATUS_FIXED:
1351  SCIPerrorMessage("cannot increase solution value for fixed variable\n");
1352  return SCIP_INVALIDDATA;
1353 
1354  case SCIP_VARSTATUS_AGGREGATED: /* x = a*y + c => y = (x-c)/a */
1355  assert(!SCIPsetIsZero(set, SCIPvarGetAggrScalar(var)));
1356  return SCIPsolIncVal(sol, set, stat, tree, SCIPvarGetAggrVar(var), incval/SCIPvarGetAggrScalar(var));
1357 
1358  case SCIP_VARSTATUS_MULTAGGR:
1359  SCIPerrorMessage("cannot increase solution value for multiple aggregated variable\n");
1360  return SCIP_INVALIDDATA;
1361 
1362  case SCIP_VARSTATUS_NEGATED:
1363  return SCIPsolIncVal(sol, set, stat, tree, SCIPvarGetNegationVar(var), -incval);
1364 
1365  default:
1366  SCIPerrorMessage("unknown variable status\n");
1367  return SCIP_INVALIDDATA;
1368  }
1369 }
1370 
1371 /** returns value of variable in primal CIP solution */
1372 SCIP_Real SCIPsolGetVal(
1373  SCIP_SOL* sol, /**< primal CIP solution */
1374  SCIP_SET* set, /**< global SCIP settings */
1375  SCIP_STAT* stat, /**< problem statistics data */
1376  SCIP_VAR* var /**< variable to get value for */
1377  )
1378 {
1379  SCIP_VAR** vars;
1380  SCIP_Real* scalars;
1381  SCIP_Real solval;
1382  SCIP_Real solvalsum;
1383  int nvars;
1384  int i;
1385 
1386  assert(sol != NULL);
1387  assert(sol->solorigin == SCIP_SOLORIGIN_ORIGINAL
1388  || sol->solorigin == SCIP_SOLORIGIN_ZERO
1389  || sol->solorigin == SCIP_SOLORIGIN_PARTIAL
1390  || sol->solorigin == SCIP_SOLORIGIN_UNKNOWN
1391  || (sol->nodenum == stat->nnodes && sol->runnum == stat->nruns));
1392  assert(var != NULL);
1393 
1394  /* if the value of a transformed variable in an original solution is requested, we need to project the variable back
1395  * to the original space, the opposite case is handled below
1396  */
1397  if( SCIPsolIsOriginal(sol) && SCIPvarIsTransformed(var) )
1398  {
1399  SCIP_RETCODE retcode;
1400  SCIP_VAR* origvar;
1401  SCIP_Real scalar;
1402  SCIP_Real constant;
1403 
1404  /* we cannot get the value of a transformed variable for a solution that lives in the original problem space
1405  * -> get the corresponding original variable first
1406  */
1407  origvar = var;
1408  scalar = 1.0;
1409  constant = 0.0;
1410  retcode = SCIPvarGetOrigvarSum(&origvar, &scalar, &constant);
1411  if ( retcode != SCIP_OKAY )
1412  return SCIP_INVALID;
1413  if( origvar == NULL )
1414  {
1415  /* the variable has no original counterpart: in the original solution, it has a value of zero */
1416  return 0.0;
1417  }
1418  assert(!SCIPvarIsTransformed(origvar));
1419 
1420  solval = SCIPsolGetVal(sol, set, stat, origvar);
1421  if( solval == SCIP_UNKNOWN ) /*lint !e777*/
1422  return SCIP_UNKNOWN;
1423  else
1424  return scalar * solval + constant;
1425  }
1426 
1427  /* only values for non fixed variables (LOOSE or COLUMN) are stored; others have to be transformed */
1428  switch( SCIPvarGetStatus(var) )
1429  {
1430  case SCIP_VARSTATUS_ORIGINAL:
1431  if( SCIPsolIsOriginal(sol) )
1432  return solGetArrayVal(sol, var);
1433  else
1434  return SCIPsolGetVal(sol, set, stat, SCIPvarGetTransVar(var));
1435 
1436  case SCIP_VARSTATUS_LOOSE:
1437  case SCIP_VARSTATUS_COLUMN:
1438  assert(!SCIPsolIsOriginal(sol));
1439  assert(sol->solorigin != SCIP_SOLORIGIN_LPSOL || SCIPboolarrayGetVal(sol->valid, SCIPvarGetIndex(var))
1440  || sol->lpcount == stat->lpcount);
1441  return solGetArrayVal(sol, var);
1442 
1443  case SCIP_VARSTATUS_FIXED:
1444  assert(!SCIPsolIsOriginal(sol));
1445  assert(SCIPvarGetLbGlobal(var) == SCIPvarGetUbGlobal(var)); /*lint !e777*/
1446  assert(SCIPvarGetLbLocal(var) == SCIPvarGetUbLocal(var)); /*lint !e777*/
1447  assert(SCIPvarGetLbGlobal(var) == SCIPvarGetLbLocal(var)); /*lint !e777*/
1448  return SCIPvarGetLbGlobal(var);
1449 
1450  case SCIP_VARSTATUS_AGGREGATED: /* x = a*y + c => y = (x-c)/a */
1451  solval = SCIPsolGetVal(sol, set, stat, SCIPvarGetAggrVar(var));
1452  if( solval == SCIP_UNKNOWN ) /*lint !e777*/
1453  return SCIP_UNKNOWN;
1454  if( SCIPsetIsInfinity(set, solval) || SCIPsetIsInfinity(set, -solval) )
1455  {
1456  if( SCIPvarGetAggrScalar(var) * solval > 0.0 )
1457  return SCIPsetInfinity(set);
1458  if( SCIPvarGetAggrScalar(var) * solval < 0.0 )
1459  return -SCIPsetInfinity(set);
1460  }
1461  return SCIPvarGetAggrScalar(var) * solval + SCIPvarGetAggrConstant(var);
1462 
1463  case SCIP_VARSTATUS_MULTAGGR:
1464  nvars = SCIPvarGetMultaggrNVars(var);
1465  vars = SCIPvarGetMultaggrVars(var);
1466  scalars = SCIPvarGetMultaggrScalars(var);
1467  solvalsum = SCIPvarGetMultaggrConstant(var);
1468  for( i = 0; i < nvars; ++i )
1469  {
1470  solval = SCIPsolGetVal(sol, set, stat, vars[i]);
1471  if( solval == SCIP_UNKNOWN ) /*lint !e777*/
1472  return SCIP_UNKNOWN;
1473  if( SCIPsetIsInfinity(set, solval) || SCIPsetIsInfinity(set, -solval) )
1474  {
1475  if( scalars[i] * solval > 0.0 )
1476  return SCIPsetInfinity(set);
1477  if( scalars[i] * solval < 0.0 )
1478  return -SCIPsetInfinity(set);
1479  }
1480  solvalsum += scalars[i] * solval;
1481  }
1482  return solvalsum;
1483 
1484  case SCIP_VARSTATUS_NEGATED:
1485  solval = SCIPsolGetVal(sol, set, stat, SCIPvarGetNegationVar(var));
1486  if( solval == SCIP_UNKNOWN ) /*lint !e777*/
1487  return SCIP_UNKNOWN;
1488  if( SCIPsetIsInfinity(set, solval) )
1489  return -SCIPsetInfinity(set);
1490  if( SCIPsetIsInfinity(set, -solval) )
1491  return SCIPsetInfinity(set);
1492  return SCIPvarGetNegationConstant(var) - solval;
1493 
1494  default:
1495  SCIPerrorMessage("unknown variable status\n");
1496  SCIPABORT();
1497  return 0.0; /*lint !e527*/
1498  }
1499 }
1500 
1501 /** returns value of variable in primal ray represented by primal CIP solution */
1502 SCIP_Real SCIPsolGetRayVal(
1503  SCIP_SOL* sol, /**< primal CIP solution, representing a primal ray */
1504  SCIP_SET* set, /**< global SCIP settings */
1505  SCIP_STAT* stat, /**< problem statistics data */
1506  SCIP_VAR* var /**< variable to get value for */
1507  )
1508 {
1509  SCIP_VAR** vars;
1510  SCIP_Real* scalars;
1511  SCIP_Real solval;
1512  SCIP_Real solvalsum;
1513  int nvars;
1514  int i;
1515 
1516  assert(sol != NULL);
1517  assert(sol->solorigin == SCIP_SOLORIGIN_ZERO);
1518  assert(var != NULL);
1519 
1520  /* only values for non fixed variables (LOOSE or COLUMN) are stored; others have to be transformed */
1521  switch( SCIPvarGetStatus(var) )
1522  {
1523  case SCIP_VARSTATUS_ORIGINAL:
1524  return SCIPsolGetRayVal(sol, set, stat, SCIPvarGetTransVar(var));
1525 
1526  case SCIP_VARSTATUS_LOOSE:
1527  case SCIP_VARSTATUS_COLUMN:
1528  return solGetArrayVal(sol, var);
1529 
1530  case SCIP_VARSTATUS_FIXED:
1531  assert(!SCIPsolIsOriginal(sol));
1532  assert(SCIPvarGetLbGlobal(var) == SCIPvarGetUbGlobal(var)); /*lint !e777*/
1533  assert(SCIPvarGetLbLocal(var) == SCIPvarGetUbLocal(var)); /*lint !e777*/
1534  assert(SCIPvarGetLbGlobal(var) == SCIPvarGetLbLocal(var)); /*lint !e777*/
1535  return 0.0; /* constants are ignored for computing the ray direction */
1536 
1537  case SCIP_VARSTATUS_AGGREGATED: /* x = a*y + c => y = (x-c)/a */
1538  solval = SCIPsolGetRayVal(sol, set, stat, SCIPvarGetAggrVar(var));
1539  assert(solval != SCIP_UNKNOWN); /*lint !e777*/
1540  assert(!SCIPsetIsInfinity(set, REALABS(solval)));
1541  return SCIPvarGetAggrScalar(var) * solval; /* constants are ignored for computing the ray direction */
1542 
1543  case SCIP_VARSTATUS_MULTAGGR:
1544  nvars = SCIPvarGetMultaggrNVars(var);
1545  vars = SCIPvarGetMultaggrVars(var);
1546  scalars = SCIPvarGetMultaggrScalars(var);
1547  solvalsum = 0.0; /* constants are ignored for computing the ray direction */
1548  for( i = 0; i < nvars; ++i )
1549  {
1550  solval = SCIPsolGetRayVal(sol, set, stat, vars[i]);
1551  assert(solval != SCIP_UNKNOWN ); /*lint !e777*/
1552  assert(!SCIPsetIsInfinity(set, REALABS(solval)));
1553  solvalsum += scalars[i] * solval;
1554  }
1555  return solvalsum;
1556 
1557  case SCIP_VARSTATUS_NEGATED:
1558  solval = SCIPsolGetRayVal(sol, set, stat, SCIPvarGetNegationVar(var));
1559  assert(solval != SCIP_UNKNOWN); /*lint !e777*/
1560  assert(!SCIPsetIsInfinity(set, REALABS(solval)));
1561  return -solval; /* constants are ignored for computing the ray direction */
1562 
1563  default:
1564  SCIPerrorMessage("unknown variable status\n");
1565  SCIPABORT();
1566  return 0.0; /*lint !e527*/
1567  }
1568 }
1569 
1570 /** gets objective value of primal CIP solution in transformed problem */
1571 SCIP_Real SCIPsolGetObj(
1572  SCIP_SOL* sol, /**< primal CIP solution */
1573  SCIP_SET* set, /**< global SCIP settings */
1574  SCIP_PROB* transprob, /**< tranformed problem data */
1575  SCIP_PROB* origprob /**< original problem data */
1576  )
1577 {
1578  assert(sol != NULL);
1579 
1580  /* for original solutions, sol->obj contains the external objective value */
1581  if( SCIPsolIsOriginal(sol) )
1582  return SCIPprobInternObjval(transprob, origprob, set, sol->obj);
1583  else
1584  return sol->obj;
1585 }
1586 
1587 /** updates primal solutions after a change in a variable's objective value */
1588 void SCIPsolUpdateVarObj(
1589  SCIP_SOL* sol, /**< primal CIP solution */
1590  SCIP_VAR* var, /**< problem variable */
1591  SCIP_Real oldobj, /**< old objective value */
1592  SCIP_Real newobj /**< new objective value */
1593  )
1594 {
1595  SCIP_Real solval;
1596 
1597  assert(sol != NULL);
1598  assert(!SCIPsolIsOriginal(sol));
1599  assert(SCIPvarGetStatus(var) == SCIP_VARSTATUS_LOOSE || SCIPvarGetStatus(var) == SCIP_VARSTATUS_COLUMN);
1600 
1601  solval = solGetArrayVal(sol, var);
1602  if( solval != SCIP_UNKNOWN ) /*lint !e777*/
1603  sol->obj += (newobj - oldobj) * solval;
1604 }
1605 
1606 /* mark the given solution as partial solution */
1607 SCIP_RETCODE SCIPsolMarkPartial(
1608  SCIP_SOL* sol, /**< primal CIP solution */
1609  SCIP_SET* set, /**< global SCIP settings */
1610  SCIP_STAT* stat, /**< problem statistics */
1611  SCIP_VAR** vars, /**< problem variables */
1612  int nvars /**< number of problem variables */
1613  )
1614 {
1615  SCIP_Real* vals;
1616  int v;
1617 
1618  assert(sol != NULL);
1619  assert(sol->solorigin == SCIP_SOLORIGIN_ORIGINAL);
1620  assert(nvars == 0 || vars != NULL);
1621 
1622  if( nvars == 0 )
1623  return SCIP_OKAY;;
1624 
1625  SCIP_CALL( SCIPsetAllocBufferArray(set, &vals, nvars) );
1626 
1627  /* get values */
1628  for( v = 0; v < nvars; v++ )
1629  {
1630  assert(!SCIPvarIsTransformed(vars[v]));
1631  vals[v] = SCIPsolGetVal(sol, set, stat, vars[v]);
1632  }
1633 
1634  /* change origin to partial */
1635  sol->solorigin = SCIP_SOLORIGIN_PARTIAL;
1636 
1637  /* set values */
1638  for( v = 0; v < nvars; v++ )
1639  {
1640  int idx = SCIPvarGetIndex(vars[v]);
1641 
1642  if( vals[v] != SCIP_UNKNOWN ) /*lint !e777*/
1643  {
1644  /* from now on, variable must not be deleted */
1645  SCIPvarMarkNotDeletable(vars[v]);
1646 
1647  /* mark the variable valid */
1648  SCIP_CALL( SCIPboolarraySetVal(sol->valid, set->mem_arraygrowinit, set->mem_arraygrowfac, idx, TRUE) );
1649 
1650  /* set the value in the solution array */
1651  SCIP_CALL( SCIPrealarraySetVal(sol->vals, set->mem_arraygrowinit, set->mem_arraygrowfac, idx, vals[v]) );
1652  }
1653  else
1654  {
1655  /* mark the variable invalid */
1656  SCIP_CALL( SCIPboolarraySetVal(sol->valid, set->mem_arraygrowinit, set->mem_arraygrowfac, idx, FALSE) );
1657  }
1658  }
1659 
1660  /* free buffer */
1661  SCIPsetFreeBufferArray(set, &vals);
1662 
1663  return SCIP_OKAY;
1664 }
1665 
1666 /** checks solution for feasibility in original problem without adding it to the solution store
1667  *
1668  * We first check the variable bounds. Then we loop over all constraint handlers and constraints, checking each in the
1669  * order of their check priority.
1670  */
1671 SCIP_RETCODE SCIPsolCheckOrig(
1672  SCIP_SOL* sol, /**< primal CIP solution */
1673  SCIP_SET* set, /**< global SCIP settings */
1674  SCIP_MESSAGEHDLR* messagehdlr, /**< message handler */
1675  BMS_BLKMEM* blkmem, /**< block memory */
1676  SCIP_STAT* stat, /**< problem statistics */
1677  SCIP_PROB* prob, /**< transformed problem data */
1678  SCIP_PRIMAL* primal, /**< primal data */
1679  SCIP_Bool printreason, /**< Should the reason for the violation be printed? */
1680  SCIP_Bool completely, /**< Should all violations be checked if printreason is true? */
1681  SCIP_Bool checkbounds, /**< Should the bounds of the variables be checked? */
1682  SCIP_Bool checkintegrality, /**< Has integrality to be checked? */
1683  SCIP_Bool checklprows, /**< Do constraints represented by rows in the current LP have to be checked? */
1684  SCIP_Bool checkmodifiable, /**< have modifiable constraint to be checked? */
1685  SCIP_Bool* feasible /**< stores whether given solution is feasible */
1686  )
1687 {
1688  SCIP_RESULT result;
1689 #ifndef NDEBUG
1690  int oldpriority;
1691 #endif
1692  int v;
1693  int c;
1694  int h;
1695 
1696  assert(sol != NULL);
1697  assert(set != NULL);
1698  assert(prob != NULL);
1699  assert(!prob->transformed);
1700  assert(feasible != NULL);
1701 
1702  *feasible = TRUE;
1703 
1704  SCIPsolResetViolations(sol);
1705 
1706  if( !printreason )
1707  completely = FALSE;
1708 
1709  /* check bounds */
1710  if( checkbounds )
1711  {
1712  for( v = 0; v < prob->nvars; ++v )
1713  {
1714  SCIP_VAR* var;
1715  SCIP_Real solval;
1716  SCIP_Real lb;
1717  SCIP_Real ub;
1718 
1719  var = prob->vars[v];
1720  solval = SCIPsolGetVal(sol, set, stat, var);
1721 
1722  lb = SCIPvarGetLbOriginal(var);
1723  ub = SCIPvarGetUbOriginal(var);
1724 
1725  if( SCIPprimalUpdateViolations(primal) )
1726  {
1727  SCIPsolUpdateBoundViolation(sol, lb - solval, SCIPrelDiff(lb, solval));
1728  SCIPsolUpdateBoundViolation(sol, solval - ub, SCIPrelDiff(solval, ub));
1729  }
1730 
1731  if( SCIPsetIsFeasLT(set, solval, lb) || SCIPsetIsFeasGT(set, solval, ub) )
1732  {
1733  *feasible = FALSE;
1734 
1735  if( printreason )
1736  {
1737  SCIPmessagePrintInfo(messagehdlr, "solution violates original bounds of variable <%s> [%g,%g] solution value <%g>\n",
1738  SCIPvarGetName(var), lb, ub, solval);
1739  }
1740 
1741  if( !completely )
1742  return SCIP_OKAY;
1743  }
1744  }
1745  }
1746 
1747  /* sort original constraint according to check priority */
1748  SCIP_CALL( SCIPprobSortConssCheck(prob) );
1749 
1750  /* check original constraints
1751  *
1752  * in general modifiable constraints can not be checked, because the variables to fulfill them might be missing in
1753  * the original problem; however, if the solution comes from a heuristic during presolving, modifiable constraints
1754  * have to be checked;
1755  */
1756 #ifndef NDEBUG
1757  oldpriority = INT_MAX;
1758 #endif
1759  h = 0;
1760  for( c = 0; c < prob->nconss; ++c )
1761  {
1762  SCIP_CONS* cons;
1763  int priority;
1764 
1765  cons = prob->origcheckconss[c];
1766  assert( SCIPconsGetHdlr(cons) != NULL );
1767  priority = SCIPconshdlrGetCheckPriority(SCIPconsGetHdlr(cons));
1768 
1769 #ifndef NDEBUG
1770  assert( priority <= oldpriority );
1771  oldpriority = priority;
1772 #endif
1773 
1774  /* check constraints handlers without constraints that have a check priority at least as high as current
1775  * constraint */
1776  while( h < set->nconshdlrs && SCIPconshdlrGetCheckPriority(set->conshdlrs[h]) >= priority )
1777  {
1778  if( !SCIPconshdlrNeedsCons(set->conshdlrs[h]) )
1779  {
1780  SCIP_CALL( SCIPconshdlrCheck(set->conshdlrs[h], blkmem, set, stat, sol,
1781  checkintegrality, checklprows, printreason, completely, &result) );
1782 
1783  if( result != SCIP_FEASIBLE )
1784  {
1785  *feasible = FALSE;
1786 
1787  if( !completely )
1788  return SCIP_OKAY;
1789  }
1790  }
1791  ++h;
1792  }
1793 
1794  /* now check constraint */
1795  if( SCIPconsIsChecked(cons) && (checkmodifiable || !SCIPconsIsModifiable(cons)) )
1796  {
1797  /* check solution */
1798  SCIP_CALL( SCIPconsCheck(cons, set, sol, checkintegrality, checklprows, printreason, &result) );
1799 
1800  if( result != SCIP_FEASIBLE )
1801  {
1802  *feasible = FALSE;
1803 
1804  if( !completely )
1805  return SCIP_OKAY;
1806  }
1807  }
1808  }
1809 
1810  /* one final loop over the remaining constraints handlers without constraints */
1811  while( h < set->nconshdlrs )
1812  {
1813  if( !SCIPconshdlrNeedsCons(set->conshdlrs[h]) )
1814  {
1815  SCIP_CALL( SCIPconshdlrCheck(set->conshdlrs[h], blkmem, set, stat, sol,
1816  checkintegrality, checklprows, printreason, completely, &result) );
1817 
1818  if( result != SCIP_FEASIBLE )
1819  {
1820  *feasible = FALSE;
1821 
1822  if( !completely )
1823  return SCIP_OKAY;
1824  }
1825  }
1826  ++h;
1827  }
1828 
1829  return SCIP_OKAY;
1830 }
1831 
1832 /** checks primal CIP solution for feasibility
1833  *
1834  * @note The difference between SCIPsolCheck() and SCIPcheckSolOrig() is that modifiable constraints are handled
1835  * differently. There might be some variables which do not have an original counter part (e.g. in
1836  * branch-and-price). Therefore, modifiable constraints can not be double-checked in the original space.
1837  */
1838 SCIP_RETCODE SCIPsolCheck(
1839  SCIP_SOL* sol, /**< primal CIP solution */
1840  SCIP_SET* set, /**< global SCIP settings */
1841  SCIP_MESSAGEHDLR* messagehdlr, /**< message handler */
1842  BMS_BLKMEM* blkmem, /**< block memory */
1843  SCIP_STAT* stat, /**< problem statistics */
1844  SCIP_PROB* prob, /**< transformed problem data */
1845  SCIP_Bool printreason, /**< Should all reasons of violations be printed? */
1846  SCIP_Bool completely, /**< Should all violations be checked? */
1847  SCIP_Bool checkbounds, /**< Should the bounds of the variables be checked? */
1848  SCIP_Bool checkintegrality, /**< Has integrality to be checked? */
1849  SCIP_Bool checklprows, /**< Do constraints represented by rows in the current LP have to be checked? */
1850  SCIP_Bool* feasible /**< stores whether solution is feasible */
1851  )
1852 {
1853  SCIP_RESULT result;
1854  int h;
1855 
1856  assert(sol != NULL);
1857  assert(!SCIPsolIsOriginal(sol));
1858  assert(set != NULL);
1859  assert(prob != NULL);
1860  assert(feasible != NULL);
1861 
1862  SCIPsetDebugMsg(set, "checking solution with objective value %g (nodenum=%" SCIP_LONGINT_FORMAT ", origin=%d)\n",
1863  sol->obj, sol->nodenum, sol->solorigin);
1864 
1865  *feasible = TRUE;
1866 
1867  SCIPsolResetViolations(sol);
1868 
1869  if( !printreason )
1870  completely = FALSE;
1871 
1872  /* check whether the solution respects the global bounds of the variables */
1873  if( checkbounds || sol->hasinfval )
1874  {
1875  int v;
1876 
1877  for( v = 0; v < prob->nvars && (*feasible || completely); ++v )
1878  {
1879  SCIP_VAR* var;
1880  SCIP_Real solval;
1881 
1882  var = prob->vars[v];
1883  solval = SCIPsolGetVal(sol, set, stat, var);
1884 
1885  if( solval != SCIP_UNKNOWN ) /*lint !e777*/
1886  {
1887  SCIP_Real lb;
1888  SCIP_Real ub;
1889 
1890  lb = SCIPvarGetLbGlobal(var);
1891  ub = SCIPvarGetUbGlobal(var);
1892 
1893  /* if we have to check bound and one of the current bounds is violated */
1894  if( checkbounds && ((!SCIPsetIsInfinity(set, -lb) && SCIPsetIsFeasLT(set, solval, lb))
1895  || (!SCIPsetIsInfinity(set, ub) && SCIPsetIsFeasGT(set, solval, ub))) )
1896  {
1897  *feasible = FALSE;
1898 
1899  if( printreason )
1900  {
1901  SCIPmessagePrintInfo(messagehdlr, "solution value %g violates bounds of <%s>[%g,%g] by %g\n", solval, SCIPvarGetName(var),
1902  SCIPvarGetLbGlobal(var), SCIPvarGetUbGlobal(var), MAX(lb - solval, 0.0) + MAX(solval - ub, 0.0));
1903  }
1904 #ifdef SCIP_DEBUG
1905  else
1906  {
1907  SCIPsetDebugMsgPrint(set, " -> solution value %g violates bounds of <%s>[%g,%g]\n", solval, SCIPvarGetName(var),
1908  SCIPvarGetLbGlobal(var), SCIPvarGetUbGlobal(var));
1909  }
1910 #endif
1911  }
1912 
1913  /* check whether there are infinite variable values that lead to an objective value of +infinity */
1914  if( *feasible && sol->hasinfval )
1915  {
1916  *feasible = *feasible && (!SCIPsetIsInfinity(set, solval) || SCIPsetIsLE(set, SCIPvarGetUnchangedObj(var), 0.0) );
1917  *feasible = *feasible && (!SCIPsetIsInfinity(set, -solval) || SCIPsetIsGE(set, SCIPvarGetUnchangedObj(var), 0.0) );
1918 
1919  if( ((SCIPsetIsInfinity(set, solval) && SCIPsetIsGT(set, SCIPvarGetUnchangedObj(var), 0.0)) || (SCIPsetIsInfinity(set, -solval) && SCIPsetIsLT(set, SCIPvarGetUnchangedObj(var), 0.0))) )
1920  {
1921  if( printreason )
1922  {
1923  SCIPmessagePrintInfo(messagehdlr, "infinite solution value %g for variable <%s> with obj %g implies objective value +infinity\n",
1924  solval, SCIPvarGetName(var), SCIPvarGetUnchangedObj(var));
1925  }
1926 #ifdef SCIP_DEBUG
1927  else
1928  {
1929  SCIPsetDebugMsgPrint(set, "infinite solution value %g for variable <%s> with obj %g implies objective value +infinity\n",
1930  solval, SCIPvarGetName(var), SCIPvarGetUnchangedObj(var));
1931  }
1932 #endif
1933  }
1934  }
1935  }
1936  }
1937  }
1938 
1939  /* check whether the solution fulfills all constraints */
1940  for( h = 0; h < set->nconshdlrs && (*feasible || completely); ++h )
1941  {
1942  SCIP_CALL( SCIPconshdlrCheck(set->conshdlrs[h], blkmem, set, stat, sol,
1943  checkintegrality, checklprows, printreason, completely, &result) );
1944  *feasible = *feasible && (result == SCIP_FEASIBLE);
1945 
1946 #ifdef SCIP_DEBUG
1947  if( !(*feasible) )
1948  {
1949  SCIPdebugPrintf(" -> infeasibility detected in constraint handler <%s>\n",
1950  SCIPconshdlrGetName(set->conshdlrs[h]));
1951  }
1952 #endif
1953  }
1954 
1955  return SCIP_OKAY;
1956 }
1957 
1958 /** try to round given solution */
1959 SCIP_RETCODE SCIPsolRound(
1960  SCIP_SOL* sol, /**< primal solution */
1961  SCIP_SET* set, /**< global SCIP settings */
1962  SCIP_STAT* stat, /**< problem statistics data */
1963  SCIP_PROB* prob, /**< transformed problem data */
1964  SCIP_TREE* tree, /**< branch and bound tree */
1965  SCIP_Bool* success /**< pointer to store whether rounding was successful */
1966  )
1967 {
1968  int nvars;
1969  int v;
1970 
1971  assert(sol != NULL);
1972  assert(!SCIPsolIsOriginal(sol));
1973  assert(prob != NULL);
1974  assert(prob->transformed);
1975  assert(success != NULL);
1976 
1977  /* round all roundable fractional variables in the corresponding direction as long as no unroundable var was found */
1978  nvars = prob->nbinvars + prob->nintvars;
1979  for( v = 0; v < nvars; ++v )
1980  {
1981  SCIP_VAR* var;
1982  SCIP_Real solval;
1983  SCIP_Bool mayrounddown;
1984  SCIP_Bool mayroundup;
1985 
1986  var = prob->vars[v];
1987  assert(SCIPvarGetStatus(var) == SCIP_VARSTATUS_LOOSE || SCIPvarGetStatus(var) == SCIP_VARSTATUS_COLUMN);
1988  assert(sol->solorigin != SCIP_SOLORIGIN_LPSOL || SCIPboolarrayGetVal(sol->valid, SCIPvarGetIndex(var))
1989  || sol->lpcount == stat->lpcount);
1990  solval = solGetArrayVal(sol, var);
1991 
1992  /* solutions with unknown entries cannot be rounded */
1993  if( solval == SCIP_UNKNOWN ) /*lint !e777*/
1994  break;
1995 
1996  /* if solution value is already integral with feastol, continue */
1997  if( SCIPsetIsFeasIntegral(set, solval) )
1998  continue;
1999 
2000  /* get rounding possibilities */
2001  mayrounddown = SCIPvarMayRoundDown(var);
2002  mayroundup = SCIPvarMayRoundUp(var);
2003 
2004  /* choose rounding direction */
2005  if( mayrounddown && mayroundup )
2006  {
2007  /* we can round in both directions: round in objective function direction */
2008  if( SCIPvarGetUnchangedObj(var) >= 0.0 )
2009  solval = SCIPsetFeasFloor(set, solval);
2010  else
2011  solval = SCIPsetFeasCeil(set, solval);
2012  }
2013  else if( mayrounddown )
2014  solval = SCIPsetFeasFloor(set, solval);
2015  else if( mayroundup )
2016  solval = SCIPsetFeasCeil(set, solval);
2017  else
2018  break;
2019 
2020  /* store new solution value */
2021  SCIP_CALL( SCIPsolSetVal(sol, set, stat, tree, var, solval) );
2022  }
2023 
2024  /* check, if rounding was successful */
2025  *success = (v == nvars);
2026 
2027  return SCIP_OKAY;
2028 }
2029 
2030 /** updates the solution value sums in variables by adding the value in the given solution */
2031 void SCIPsolUpdateVarsum(
2032  SCIP_SOL* sol, /**< primal CIP solution */
2033  SCIP_SET* set, /**< global SCIP settings */
2034  SCIP_STAT* stat, /**< problem statistics data */
2035  SCIP_PROB* prob, /**< transformed problem data */
2036  SCIP_Real weight /**< weight of solution in weighted average */
2037  )
2038 {
2039  SCIP_Real solval;
2040  int v;
2041 
2042  assert(sol != NULL);
2043  assert(!SCIPsolIsOriginal(sol));
2044  assert(0.0 <= weight && weight <= 1.0);
2045 
2046  for( v = 0; v < prob->nvars; ++v )
2047  {
2048  assert(prob->vars[v] != NULL);
2049  solval = SCIPsolGetVal(sol, set, stat, prob->vars[v]);
2050  if( solval != SCIP_UNKNOWN ) /*lint !e777*/
2051  {
2052  prob->vars[v]->primsolavg *= (1.0-weight);
2053  prob->vars[v]->primsolavg += weight*solval;
2054  }
2055  }
2056 }
2057 
2058 /** retransforms solution to original problem space */
2059 SCIP_RETCODE SCIPsolRetransform(
2060  SCIP_SOL* sol, /**< primal CIP solution */
2061  SCIP_SET* set, /**< global SCIP settings */
2062  SCIP_STAT* stat, /**< problem statistics data */
2063  SCIP_PROB* origprob, /**< original problem */
2064  SCIP_PROB* transprob, /**< transformed problem */
2065  SCIP_Bool* hasinfval /**< pointer to store whether the solution has infinite values */
2066  )
2067 {
2068  SCIP_VAR** transvars;
2069  SCIP_VAR** vars;
2070  SCIP_VAR** activevars;
2071  SCIP_Real* solvals;
2072  SCIP_Real* activevals;
2073  SCIP_Real* transsolvals;
2074  SCIP_Real constant;
2075  int requiredsize;
2076  int ntransvars;
2077  int nactivevars;
2078  int nvars;
2079  int v;
2080  int i;
2081 
2082  assert(sol != NULL);
2083  assert(sol->solorigin == SCIP_SOLORIGIN_ZERO);
2084  assert(origprob != NULL);
2085  assert(transprob != NULL);
2086  assert(hasinfval != NULL);
2087  assert(!origprob->transformed);
2088  assert(transprob->transformed);
2089 
2090  *hasinfval = FALSE;
2091 
2092  /* This method was a performance bottleneck when retransforming a solution during presolving, before flattening the
2093  * aggregation graph. In that case, calling SCIPsolGetVal() on the original variable consumed too much
2094  * time. Therefore, we now first compute the active representation of each original variable using
2095  * SCIPvarGetActiveRepresentatives(), which is much faster, and sum up the solution values of the active variables by
2096  * hand for each original variable.
2097  */
2098  vars = origprob->vars;
2099  nvars = origprob->nvars;
2100  transvars = transprob->vars;
2101  ntransvars = transprob->nvars;
2102 
2103  /* allocate temporary memory for getting the active representation of the original variables, buffering the solution
2104  * values of all active variables and storing the original solution values
2105  */
2106  SCIP_CALL( SCIPsetAllocBufferArray(set, &transsolvals, ntransvars + 1) );
2107  SCIP_CALL( SCIPsetAllocBufferArray(set, &activevars, ntransvars + 1) );
2108  SCIP_CALL( SCIPsetAllocBufferArray(set, &activevals, ntransvars + 1) );
2109  SCIP_CALL( SCIPsetAllocBufferArray(set, &solvals, nvars) );
2110  assert(transsolvals != NULL); /* for flexelint */
2111  assert(solvals != NULL); /* for flexelint */
2112 
2113  /* get the solution values of all active variables */
2114  for( v = 0; v < ntransvars; ++v )
2115  {
2116  transsolvals[v] = SCIPsolGetVal(sol, set, stat, transvars[v]);
2117  }
2118 
2119  /* get the solution in original problem variables */
2120  for( v = 0; v < nvars; ++v )
2121  {
2122  activevars[0] = vars[v];
2123  activevals[0] = 1.0;
2124  nactivevars = 1;
2125  constant = 0.0;
2126 
2127  /* get active representation of the original variable */
2128  SCIP_CALL( SCIPvarGetActiveRepresentatives(set, activevars, activevals, &nactivevars, ntransvars + 1, &constant,
2129  &requiredsize, TRUE) );
2130  assert(requiredsize <= ntransvars);
2131 
2132  /* compute solution value of the original variable */
2133  solvals[v] = constant;
2134  for( i = 0; i < nactivevars; ++i )
2135  {
2136  assert(0 <= SCIPvarGetProbindex(activevars[i]) && SCIPvarGetProbindex(activevars[i]) < ntransvars);
2137  assert(!SCIPsetIsInfinity(set, -solvals[v]) || !SCIPsetIsInfinity(set, activevals[i] * transsolvals[SCIPvarGetProbindex(activevars[i])]));
2138  assert(!SCIPsetIsInfinity(set, solvals[v]) || !SCIPsetIsInfinity(set, -activevals[i] * transsolvals[SCIPvarGetProbindex(activevars[i])]));
2139  solvals[v] += activevals[i] * transsolvals[SCIPvarGetProbindex(activevars[i])];
2140  }
2141 
2142  if( SCIPsetIsInfinity(set, solvals[v]) )
2143  {
2144  solvals[v] = SCIPsetInfinity(set);
2145  *hasinfval = TRUE;
2146  }
2147  else if( SCIPsetIsInfinity(set, -solvals[v]) )
2148  {
2149  solvals[v] = -SCIPsetInfinity(set);
2150  *hasinfval = TRUE;
2151  }
2152  }
2153 
2154  /* clear the solution and convert it into original space */
2155  SCIP_CALL( solClearArrays(sol) );
2156  sol->solorigin = SCIP_SOLORIGIN_ORIGINAL;
2157  sol->obj = origprob->objoffset;
2158 
2159  /* reinsert the values of the original variables */
2160  for( v = 0; v < nvars; ++v )
2161  {
2162  assert(SCIPvarGetUnchangedObj(vars[v]) == SCIPvarGetObj(vars[v])); /*lint !e777*/
2163 
2164  if( solvals[v] != 0.0 )
2165  {
2166  SCIP_CALL( solSetArrayVal(sol, set, vars[v], solvals[v]) );
2167  if( solvals[v] != SCIP_UNKNOWN ) /*lint !e777*/
2168  sol->obj += SCIPvarGetUnchangedObj(vars[v]) * solvals[v];
2169  }
2170  }
2171 
2172  /**@todo remember the variables without original counterpart (priced variables) in the solution */
2173 
2174  /* free temporary memory */
2175  SCIPsetFreeBufferArray(set, &solvals);
2176  SCIPsetFreeBufferArray(set, &activevals);
2177  SCIPsetFreeBufferArray(set, &activevars);
2178  SCIPsetFreeBufferArray(set, &transsolvals);
2179 
2180  return SCIP_OKAY;
2181 }
2182 
2183 /** recomputes the objective value of an original solution, e.g., when transferring solutions
2184  * from the solution pool (objective coefficients might have changed in the meantime)
2185  */
2186 void SCIPsolRecomputeObj(
2187  SCIP_SOL* sol, /**< primal CIP solution */
2188  SCIP_SET* set, /**< global SCIP settings */
2189  SCIP_STAT* stat, /**< problem statistics data */
2190  SCIP_PROB* origprob /**< original problem */
2191  )
2192 {
2193  SCIP_VAR** vars;
2194  SCIP_Real solval;
2195  int nvars;
2196  int v;
2197 
2198  assert(sol != NULL);
2199  assert(SCIPsolIsOriginal(sol));
2200  assert(origprob != NULL);
2201 
2202  vars = origprob->vars;
2203  nvars = origprob->nvars;
2204 
2205  /* recompute the objective value */
2206  sol->obj = SCIPprobGetObjoffset(origprob);
2207  for( v = 0; v < nvars; ++v )
2208  {
2209  solval = SCIPsolGetVal(sol, set, stat, vars[v]);
2210  if( solval != 0.0 && solval != SCIP_UNKNOWN ) /*lint !e777*/
2211  {
2212  sol->obj += SCIPvarGetUnchangedObj(vars[v]) * solval;
2213  }
2214  }
2215 
2216  if( SCIPsetIsInfinity(set, -sol->obj) )
2217  sol->obj = -SCIPsetInfinity(set);
2218 }
2219 
2220 /** returns whether the given solutions are equal */
2221 SCIP_Bool SCIPsolsAreEqual(
2222  SCIP_SOL* sol1, /**< first primal CIP solution */
2223  SCIP_SOL* sol2, /**< second primal CIP solution */
2224  SCIP_SET* set, /**< global SCIP settings */
2225  SCIP_STAT* stat, /**< problem statistics data */
2226  SCIP_PROB* origprob, /**< original problem */
2227  SCIP_PROB* transprob /**< transformed problem after presolve, or NULL if both solution are
2228  * defined in the original problem space */
2229  )
2230 {
2231  SCIP_PROB* prob;
2232  SCIP_Bool infobjs;
2233  SCIP_Real obj1;
2234  SCIP_Real obj2;
2235  int v;
2236 
2237  assert(sol1 != NULL);
2238  assert(sol2 != NULL);
2239  assert((SCIPsolIsOriginal(sol1) && SCIPsolIsOriginal(sol2)) || transprob != NULL);
2240 
2241  /* if both solutions are original or both are transformed, take the objective values stored in the solutions */
2242  if( SCIPsolIsOriginal(sol1) == SCIPsolIsOriginal(sol2) )
2243  {
2244  obj1 = sol1->obj;
2245  obj2 = sol2->obj;
2246  }
2247  /* one solution is original and the other not, so we have to get for both the objective in the transformed problem */
2248  else
2249  {
2250  obj1 = SCIPsolGetObj(sol1, set, transprob, origprob);
2251  obj2 = SCIPsolGetObj(sol2, set, transprob, origprob);
2252  }
2253 
2254  /* solutions with different objective values cannot be the same; we consider two infinite objective values with the
2255  * same sign always to be different
2256  */
2257  infobjs = (SCIPsetIsInfinity(set, obj1) && SCIPsetIsInfinity(set, obj2))
2258  || (SCIPsetIsInfinity(set, -obj1) && SCIPsetIsInfinity(set, -obj2));
2259  if( !infobjs && !SCIPsetIsEQ(set, obj1, obj2) )
2260  return FALSE;
2261 
2262  /* if one of the solutions is defined in the original space, the comparison has to be performed in the original
2263  * space
2264  */
2265  prob = transprob;
2266  if( SCIPsolIsOriginal(sol1) || SCIPsolIsOriginal(sol2) )
2267  prob = origprob;
2268  assert(prob != NULL);
2269 
2270  /* compare each variable value */
2271  for( v = 0; v < prob->nvars; ++v )
2272  {
2273  SCIP_Real val1;
2274  SCIP_Real val2;
2275 
2276  val1 = SCIPsolGetVal(sol1, set, stat, prob->vars[v]);
2277  val2 = SCIPsolGetVal(sol2, set, stat, prob->vars[v]);
2278  if( !SCIPsetIsEQ(set, val1, val2) )
2279  return FALSE;
2280  }
2281 
2282  return TRUE;
2283 }
2284 
2285 /** outputs non-zero elements of solution to file stream */
2286 SCIP_RETCODE SCIPsolPrint(
2287  SCIP_SOL* sol, /**< primal CIP solution */
2288  SCIP_SET* set, /**< global SCIP settings */
2289  SCIP_MESSAGEHDLR* messagehdlr, /**< message handler */
2290  SCIP_STAT* stat, /**< problem statistics data */
2291  SCIP_PROB* prob, /**< problem data (original or transformed) */
2292  SCIP_PROB* transprob, /**< transformed problem data or NULL (to display priced variables) */
2293  FILE* file, /**< output file (or NULL for standard output) */
2294  SCIP_Bool mipstart, /**< should only discrete variables be printed? */
2295  SCIP_Bool printzeros /**< should variables set to zero be printed? */
2296  )
2297 {
2298  SCIP_Real solval;
2299  int v;
2300 
2301  assert(sol != NULL);
2302  assert(prob != NULL);
2303  assert(SCIPsolIsOriginal(sol) || prob->transformed || transprob != NULL);
2304  assert(!mipstart || !SCIPsolIsPartial(sol));
2305 
2306  /* display variables of problem data */
2307  for( v = 0; v < prob->nfixedvars; ++v )
2308  {
2309  assert(prob->fixedvars[v] != NULL);
2310 
2311  /* skip non-discrete variables in a mip start */
2312  if( mipstart && !SCIPvarIsIntegral(prob->fixedvars[v]) )
2313  continue;
2314 
2315  solval = SCIPsolGetVal(sol, set, stat, prob->fixedvars[v]);
2316  if( printzeros || mipstart
2317  || (sol->solorigin != SCIP_SOLORIGIN_PARTIAL && !SCIPsetIsZero(set, solval))
2318  || (sol->solorigin == SCIP_SOLORIGIN_PARTIAL && solval != SCIP_UNKNOWN) ) /*lint !e777*/
2319  {
2320  SCIPmessageFPrintInfo(messagehdlr, file, "%-32s", SCIPvarGetName(prob->fixedvars[v]));
2321  if( solval == SCIP_UNKNOWN ) /*lint !e777*/
2322  SCIPmessageFPrintInfo(messagehdlr, file, " unknown");
2323  else if( SCIPsetIsInfinity(set, solval) )
2324  SCIPmessageFPrintInfo(messagehdlr, file, " +infinity");
2325  else if( SCIPsetIsInfinity(set, -solval) )
2326  SCIPmessageFPrintInfo(messagehdlr, file, " -infinity");
2327  else
2328  SCIPmessageFPrintInfo(messagehdlr, file, " % 20.15g", solval);
2329  SCIPmessageFPrintInfo(messagehdlr, file, " \t(obj:%.15g)\n", SCIPvarGetUnchangedObj(prob->fixedvars[v]));
2330  }
2331  }
2332 
2333  for( v = 0; v < prob->nvars; ++v )
2334  {
2335  assert(prob->vars[v] != NULL);
2336 
2337  /* skip non-discrete variables in a mip start */
2338  if( mipstart && !SCIPvarIsIntegral(prob->vars[v]) )
2339  continue;
2340 
2341  solval = SCIPsolGetVal(sol, set, stat, prob->vars[v]);
2342  if( printzeros || mipstart
2343  || (sol->solorigin != SCIP_SOLORIGIN_PARTIAL && !SCIPsetIsZero(set, solval))
2344  || (sol->solorigin == SCIP_SOLORIGIN_PARTIAL && solval != SCIP_UNKNOWN) ) /*lint !e777*/
2345  {
2346  SCIPmessageFPrintInfo(messagehdlr, file, "%-32s", SCIPvarGetName(prob->vars[v]));
2347  if( solval == SCIP_UNKNOWN ) /*lint !e777*/
2348  SCIPmessageFPrintInfo(messagehdlr, file, " unknown");
2349  else if( SCIPsetIsInfinity(set, solval) )
2350  SCIPmessageFPrintInfo(messagehdlr, file, " +infinity");
2351  else if( SCIPsetIsInfinity(set, -solval) )
2352  SCIPmessageFPrintInfo(messagehdlr, file, " -infinity");
2353  else
2354  SCIPmessageFPrintInfo(messagehdlr, file, " %20.15g", solval);
2355  SCIPmessageFPrintInfo(messagehdlr, file, " \t(obj:%.15g)\n", SCIPvarGetUnchangedObj(prob->vars[v]));
2356  }
2357  }
2358 
2359  /* display additional priced variables (if given problem data is original problem); consider these variables only
2360  * if there is at least one active pricer, otherwise we might print variables that have been added by, e.g., the
2361  * dual sparsify presolver (see #2946)
2362  */
2363  if( !prob->transformed && !SCIPsolIsOriginal(sol) && set->nactivepricers > 0 )
2364  {
2365  assert(transprob != NULL);
2366  for( v = 0; v < transprob->nfixedvars; ++v )
2367  {
2368  assert(transprob->fixedvars[v] != NULL);
2369  if( SCIPvarIsTransformedOrigvar(transprob->fixedvars[v]) )
2370  continue;
2371 
2372  /* skip non-discrete variables in a mip start */
2373  if( mipstart && !SCIPvarIsIntegral(transprob->fixedvars[v]) )
2374  continue;
2375 
2376  solval = SCIPsolGetVal(sol, set, stat, transprob->fixedvars[v]);
2377  if( printzeros || mipstart || !SCIPsetIsZero(set, solval) )
2378  {
2379  SCIPmessageFPrintInfo(messagehdlr, file, "%-32s", SCIPvarGetName(transprob->fixedvars[v]));
2380  if( solval == SCIP_UNKNOWN ) /*lint !e777*/
2381  SCIPmessageFPrintInfo(messagehdlr, file, " unknown");
2382  else if( SCIPsetIsInfinity(set, solval) )
2383  SCIPmessageFPrintInfo(messagehdlr, file, " +infinity");
2384  else if( SCIPsetIsInfinity(set, -solval) )
2385  SCIPmessageFPrintInfo(messagehdlr, file, " -infinity");
2386  else
2387  SCIPmessageFPrintInfo(messagehdlr, file, " % 20.15g", solval);
2388  SCIPmessageFPrintInfo(messagehdlr, file, " \t(obj:%.15g)\n", SCIPvarGetUnchangedObj(transprob->fixedvars[v]));
2389  }
2390  }
2391  for( v = 0; v < transprob->nvars; ++v )
2392  {
2393  assert(transprob->vars[v] != NULL);
2394  if( SCIPvarIsTransformedOrigvar(transprob->vars[v]) )
2395  continue;
2396 
2397  /* skip non-discrete variables in a mip start */
2398  if( mipstart && !SCIPvarIsIntegral(transprob->vars[v]) )
2399  continue;
2400 
2401  solval = SCIPsolGetVal(sol, set, stat, transprob->vars[v]);
2402  if( printzeros || !SCIPsetIsZero(set, solval) )
2403  {
2404  SCIPmessageFPrintInfo(messagehdlr, file, "%-32s", SCIPvarGetName(transprob->vars[v]));
2405  if( solval == SCIP_UNKNOWN ) /*lint !e777*/
2406  SCIPmessageFPrintInfo(messagehdlr, file, " unknown");
2407  else if( SCIPsetIsInfinity(set, solval) )
2408  SCIPmessageFPrintInfo(messagehdlr, file, " +infinity");
2409  else if( SCIPsetIsInfinity(set, -solval) )
2410  SCIPmessageFPrintInfo(messagehdlr, file, " -infinity");
2411  else
2412  SCIPmessageFPrintInfo(messagehdlr, file, " % 20.15g", solval);
2413  SCIPmessageFPrintInfo(messagehdlr, file, " \t(obj:%.15g)\n", SCIPvarGetUnchangedObj(transprob->vars[v]));
2414  }
2415  }
2416  }
2417 
2418  return SCIP_OKAY;
2419 }
2420 
2421 /** outputs non-zero elements of solution representing a ray to file stream */
2422 SCIP_RETCODE SCIPsolPrintRay(
2423  SCIP_SOL* sol, /**< primal CIP solution */
2424  SCIP_SET* set, /**< global SCIP settings */
2425  SCIP_MESSAGEHDLR* messagehdlr, /**< message handler */
2426  SCIP_STAT* stat, /**< problem statistics data */
2427  SCIP_PROB* prob, /**< problem data (original or transformed) */
2428  SCIP_PROB* transprob, /**< transformed problem data or NULL (to display priced variables) */
2429  FILE* file, /**< output file (or NULL for standard output) */
2430  SCIP_Bool printzeros /**< should variables set to zero be printed? */
2431  )
2432 {
2433  SCIP_Real solval;
2434  int v;
2435 
2436  assert(sol != NULL);
2437  assert(prob != NULL);
2438  assert(SCIPsolIsOriginal(sol) || prob->transformed || transprob != NULL);
2439 
2440  /* display variables of problem data */
2441  for( v = 0; v < prob->nfixedvars; ++v )
2442  {
2443  assert(prob->fixedvars[v] != NULL);
2444  solval = SCIPsolGetRayVal(sol, set, stat, prob->fixedvars[v]);
2445  if( printzeros || !SCIPsetIsZero(set, solval) )
2446  {
2447  SCIPmessageFPrintInfo(messagehdlr, file, "%-32s", SCIPvarGetName(prob->fixedvars[v]));
2448  if( solval == SCIP_UNKNOWN ) /*lint !e777*/
2449  SCIPmessageFPrintInfo(messagehdlr, file, " unknown");
2450  else if( SCIPsetIsInfinity(set, solval) )
2451  SCIPmessageFPrintInfo(messagehdlr, file, " +infinity");
2452  else if( SCIPsetIsInfinity(set, -solval) )
2453  SCIPmessageFPrintInfo(messagehdlr, file, " -infinity");
2454  else
2455  SCIPmessageFPrintInfo(messagehdlr, file, " % 20.15g", solval);
2456  SCIPmessageFPrintInfo(messagehdlr, file, " \t(obj:%.15g)\n", SCIPvarGetUnchangedObj(prob->fixedvars[v]));
2457  }
2458  }
2459  for( v = 0; v < prob->nvars; ++v )
2460  {
2461  assert(prob->vars[v] != NULL);
2462  solval = SCIPsolGetRayVal(sol, set, stat, prob->vars[v]);
2463  if( printzeros || !SCIPsetIsZero(set, solval) )
2464  {
2465  SCIPmessageFPrintInfo(messagehdlr, file, "%-32s", SCIPvarGetName(prob->vars[v]));
2466  if( solval == SCIP_UNKNOWN ) /*lint !e777*/
2467  SCIPmessageFPrintInfo(messagehdlr, file, " unknown");
2468  else if( SCIPsetIsInfinity(set, solval) )
2469  SCIPmessageFPrintInfo(messagehdlr, file, " +infinity");
2470  else if( SCIPsetIsInfinity(set, -solval) )
2471  SCIPmessageFPrintInfo(messagehdlr, file, " -infinity");
2472  else
2473  SCIPmessageFPrintInfo(messagehdlr, file, " %20.15g", solval);
2474  SCIPmessageFPrintInfo(messagehdlr, file, " \t(obj:%.15g)\n", SCIPvarGetUnchangedObj(prob->vars[v]));
2475  }
2476  }
2477 
2478  /* display additional priced variables (if given problem data is original problem) */
2479  if( !prob->transformed && !SCIPsolIsOriginal(sol) )
2480  {
2481  assert(transprob != NULL);
2482  for( v = 0; v < transprob->nfixedvars; ++v )
2483  {
2484  assert(transprob->fixedvars[v] != NULL);
2485  if( SCIPvarIsTransformedOrigvar(transprob->fixedvars[v]) )
2486  continue;
2487 
2488  solval = SCIPsolGetRayVal(sol, set, stat, transprob->fixedvars[v]);
2489  if( printzeros || !SCIPsetIsZero(set, solval) )
2490  {
2491  SCIPmessageFPrintInfo(messagehdlr, file, "%-32s", SCIPvarGetName(transprob->fixedvars[v]));
2492  if( solval == SCIP_UNKNOWN ) /*lint !e777*/
2493  SCIPmessageFPrintInfo(messagehdlr, file, " unknown");
2494  else if( SCIPsetIsInfinity(set, solval) )
2495  SCIPmessageFPrintInfo(messagehdlr, file, " +infinity");
2496  else if( SCIPsetIsInfinity(set, -solval) )
2497  SCIPmessageFPrintInfo(messagehdlr, file, " -infinity");
2498  else
2499  SCIPmessageFPrintInfo(messagehdlr, file, " % 20.15g", solval);
2500  SCIPmessageFPrintInfo(messagehdlr, file, " \t(obj:%.15g)\n", SCIPvarGetUnchangedObj(transprob->fixedvars[v]));
2501  }
2502  }
2503  for( v = 0; v < transprob->nvars; ++v )
2504  {
2505  assert(transprob->vars[v] != NULL);
2506  if( SCIPvarIsTransformedOrigvar(transprob->vars[v]) )
2507  continue;
2508 
2509  solval = SCIPsolGetRayVal(sol, set, stat, transprob->vars[v]);
2510  if( printzeros || !SCIPsetIsZero(set, solval) )
2511  {
2512  SCIPmessageFPrintInfo(messagehdlr, file, "%-32s", SCIPvarGetName(transprob->vars[v]));
2513  if( solval == SCIP_UNKNOWN ) /*lint !e777*/
2514  SCIPmessageFPrintInfo(messagehdlr, file, " unknown");
2515  else if( SCIPsetIsInfinity(set, solval) )
2516  SCIPmessageFPrintInfo(messagehdlr, file, " +infinity");
2517  else if( SCIPsetIsInfinity(set, -solval) )
2518  SCIPmessageFPrintInfo(messagehdlr, file, " -infinity");
2519  else
2520  SCIPmessageFPrintInfo(messagehdlr, file, " % 20.15g", solval);
2521  SCIPmessageFPrintInfo(messagehdlr, file, " \t(obj:%.15g)\n", SCIPvarGetUnchangedObj(transprob->vars[v]));
2522  }
2523  }
2524  }
2525 
2526  return SCIP_OKAY;
2527 }
2528 
2529 /*
2530  * methods for accumulated numerical violations of a solution
2531  */
2532 
2533 /** reset violations of a solution */
2534 void SCIPsolResetViolations(
2535  SCIP_SOL* sol /**< primal CIP solution */
2536  )
2537 {
2538  assert(sol != NULL);
2539 
2540  sol->viol.absviolbounds = 0.0;
2541  sol->viol.relviolbounds = 0.0;
2542  sol->viol.absviolintegrality = 0.0;
2543  sol->viol.absviollprows = 0.0;
2544  sol->viol.relviollprows = 0.0;
2545  sol->viol.absviolcons = 0.0;
2546  sol->viol.relviolcons = 0.0;
2547 }
2548 
2549 /** update integrality violation of a solution */
2550 void SCIPsolUpdateIntegralityViolation(
2551  SCIP_SOL* sol, /**< primal CIP solution */
2552  SCIP_Real absviolintegrality /**< absolute violation of integrality */
2553  )
2554 {
2555  assert(sol != NULL);
2556 
2557  sol->viol.absviolintegrality = MAX(sol->viol.absviolintegrality, absviolintegrality);
2558 }
2559 
2560 /** update bound violation of a solution */
2561 void SCIPsolUpdateBoundViolation(
2562  SCIP_SOL* sol, /**< primal CIP solution */
2563  SCIP_Real absviolbounds, /**< absolute violation of bounds */
2564  SCIP_Real relviolbounds /**< relative violation of bounds */
2565  )
2566 {
2567  assert(sol != NULL);
2568 
2569  sol->viol.absviolbounds = MAX(sol->viol.absviolbounds, absviolbounds);
2570  sol->viol.relviolbounds = MAX(sol->viol.relviolbounds, relviolbounds);
2571 }
2572 
2573 /** update LP row violation of a solution */
2574 void SCIPsolUpdateLPRowViolation(
2575  SCIP_SOL* sol, /**< primal CIP solution */
2576  SCIP_Real absviollprows, /**< absolute violation of LP rows */
2577  SCIP_Real relviollprows /**< relative violation of LP rows */
2578  )
2579 {
2580  assert(sol != NULL);
2581 
2582  sol->viol.absviollprows = MAX(sol->viol.absviollprows, absviollprows);
2583  sol->viol.relviollprows = MAX(sol->viol.relviollprows, relviollprows);
2584 }
2585 
2586 /** update constraint violation of a solution */
2587 void SCIPsolUpdateConsViolation(
2588  SCIP_SOL* sol, /**< primal CIP solution */
2589  SCIP_Real absviolcons, /**< absolute violation of constraint */
2590  SCIP_Real relviolcons /**< relative violation of constraint */
2591  )
2592 {
2593  assert(sol != NULL);
2594 
2595  sol->viol.absviolcons = MAX(sol->viol.absviolcons, absviolcons);
2596  sol->viol.relviolcons = MAX(sol->viol.relviolcons, relviolcons);
2597 }
2598 
2599 /** update violation of a constraint that is represented in the LP */
2600 void SCIPsolUpdateLPConsViolation(
2601  SCIP_SOL* sol, /**< primal CIP solution */
2602  SCIP_Real absviol, /**< absolute violation of constraint */
2603  SCIP_Real relviol /**< relative violation of constraint */
2604  )
2605 {
2606  assert(sol != NULL);
2607 
2608  SCIPsolUpdateConsViolation(sol, absviol, relviol);
2609  SCIPsolUpdateLPRowViolation(sol, absviol, relviol);
2610 }
2611 
2612 /** get maximum absolute bound violation of solution */
2613 SCIP_Real SCIPsolGetAbsBoundViolation(
2614  SCIP_SOL* sol /**< primal CIP solution */
2615  )
2616 {
2617  assert(sol != NULL);
2618 
2619  return sol->viol.absviolbounds;
2620 }
2621 
2622 /** get maximum relative bound violation of solution */
2623 SCIP_Real SCIPsolGetRelBoundViolation(
2624  SCIP_SOL* sol /**< primal CIP solution */
2625  )
2626 {
2627  assert(sol != NULL);
2628 
2629  return sol->viol.relviolbounds;
2630 }
2631 
2632 /** get maximum absolute integrality violation of solution */
2633 SCIP_Real SCIPsolGetAbsIntegralityViolation(
2634  SCIP_SOL* sol /**< primal CIP solution */
2635  )
2636 {
2637  assert(sol != NULL);
2638 
2639  return sol->viol.absviolintegrality;
2640 }
2641 
2642 /** get maximum absolute LP row violation of solution */
2643 SCIP_Real SCIPsolGetAbsLPRowViolation(
2644  SCIP_SOL* sol /**< primal CIP solution */
2645  )
2646 {
2647  assert(sol != NULL);
2648 
2649  return sol->viol.absviollprows;
2650 }
2651 
2652 /** get maximum relative LP row violation of solution */
2653 SCIP_Real SCIPsolGetRelLPRowViolation(
2654  SCIP_SOL* sol /**< primal CIP solution */
2655  )
2656 {
2657  assert(sol != NULL);
2658 
2659  return sol->viol.relviollprows;
2660 }
2661 
2662 /** get maximum absolute constraint violation of solution */
2663 SCIP_Real SCIPsolGetAbsConsViolation(
2664  SCIP_SOL* sol /**< primal CIP solution */
2665  )
2666 {
2667  assert(sol != NULL);
2668 
2669  return sol->viol.absviolcons;
2670 }
2671 
2672 /** get maximum relative constraint violation of solution */
2673 SCIP_Real SCIPsolGetRelConsViolation(
2674  SCIP_SOL* sol /**< primal CIP solution */
2675  )
2676 {
2677  assert(sol != NULL);
2678 
2679  return sol->viol.relviolcons;
2680 }
2681 
2682 /*
2683  * simple functions implemented as defines
2684  */
2685 
2686 /* In debug mode, the following methods are implemented as function calls to ensure
2687  * type validity.
2688  * In optimized mode, the methods are implemented as defines to improve performance.
2689  * However, we want to have them in the library anyways, so we have to undef the defines.
2690  */
2691 
2692 #undef SCIPsolGetOrigin
2693 #undef SCIPsolIsOriginal
2694 #undef SCIPsolGetOrigObj
2695 #undef SCIPsolGetTime
2696 #undef SCIPsolGetNodenum
2697 #undef SCIPsolGetRunnum
2698 #undef SCIPsolGetDepth
2699 #undef SCIPsolGetHeur
2700 #undef SCIPsolGetRelax
2701 #undef SCIPsolOrigAddObjval
2702 #undef SCIPsolGetPrimalIndex
2703 #undef SCIPsolSetPrimalIndex
2704 #undef SCIPsolGetIndex
2705 #undef SCIPsolGetType
2706 #undef SCIPsolSetLPRelaxation
2707 #undef SCIPsolSetStrongbranching
2708 #undef SCIPsolSetPseudo
2709 
2710 /** gets origin of solution */
2711 SCIP_SOLORIGIN SCIPsolGetOrigin(
2712  SCIP_SOL* sol /**< primal CIP solution */
2713  )
2714 {
2715  assert(sol != NULL);
2716 
2717  return sol->solorigin;
2718 }
2719 
2720 /** returns whether the given solution is defined on original variables */
2721 SCIP_Bool SCIPsolIsOriginal(
2722  SCIP_SOL* sol /**< primal CIP solution */
2723  )
2724 {
2725  assert(sol != NULL);
2726 
2727  return (sol->solorigin == SCIP_SOLORIGIN_ORIGINAL || sol->solorigin == SCIP_SOLORIGIN_PARTIAL);
2728 }
2729 
2730 /** returns whether the given solution is defined on original variables and containes unknown solution values */
2731 SCIP_Bool SCIPsolIsPartial(
2732  SCIP_SOL* sol /**< primal CIP solution */
2733  )
2734 {
2735  assert(sol != NULL);
2736 
2737  return (sol->solorigin == SCIP_SOLORIGIN_PARTIAL);
2738 }
2739 
2740 /** gets objective value of primal CIP solution which lives in the original problem space */
2741 SCIP_Real SCIPsolGetOrigObj(
2742  SCIP_SOL* sol /**< primal CIP solution */
2743  )
2744 {
2745  assert(sol != NULL);
2746  assert(SCIPsolIsOriginal(sol));
2747 
2748  return sol->obj;
2749 }
2750 
2751 /** adds value to the objective value of a given original primal CIP solution */
2752 void SCIPsolOrigAddObjval(
2753  SCIP_SOL* sol, /**< primal CIP solution */
2754  SCIP_Real addval /**< offset value to add */
2755  )
2756 {
2757  assert(sol != NULL);
2758  assert(sol->solorigin == SCIP_SOLORIGIN_ORIGINAL);
2759 
2760  sol->obj += addval;
2761 }
2762 
2763 /** gets clock time, when this solution was found */
2764 SCIP_Real SCIPsolGetTime(
2765  SCIP_SOL* sol /**< primal CIP solution */
2766  )
2767 {
2768  assert(sol != NULL);
2769 
2770  return sol->time;
2771 }
2772 
2773 /** gets branch and bound run number, where this solution was found */
2774 int SCIPsolGetRunnum(
2775  SCIP_SOL* sol /**< primal CIP solution */
2776  )
2777 {
2778  assert(sol != NULL);
2779 
2780  return sol->runnum;
2781 }
2782 
2783 /** gets node number, where this solution was found */
2784 SCIP_Longint SCIPsolGetNodenum(
2785  SCIP_SOL* sol /**< primal CIP solution */
2786  )
2787 {
2788  assert(sol != NULL);
2789 
2790  return sol->nodenum;
2791 }
2792 
2793 /** gets node's depth, where this solution was found */
2794 int SCIPsolGetDepth(
2795  SCIP_SOL* sol /**< primal CIP solution */
2796  )
2797 {
2798  assert(sol != NULL);
2799 
2800  return sol->depth;
2801 }
2802 
2803 /** gets heuristic, that found this solution or NULL if solution has type different than SCIP_SOLTYPE_HEUR */
2804 SCIP_HEUR* SCIPsolGetHeur(
2805  SCIP_SOL* sol /**< primal CIP solution */
2806  )
2807 {
2808  assert(sol != NULL);
2809 
2810  return sol->type == SCIP_SOLTYPE_HEUR ? sol->creator.heur : NULL;
2811 }
2812 
2813 /** gets current position of solution in array of existing solutions of primal data */
2814 int SCIPsolGetPrimalIndex(
2815  SCIP_SOL* sol /**< primal CIP solution */
2816  )
2817 {
2818  assert(sol != NULL);
2819 
2820  return sol->primalindex;
2821 }
2822 
2823 /** sets current position of solution in array of existing solutions of primal data */
2824 void SCIPsolSetPrimalIndex(
2825  SCIP_SOL* sol, /**< primal CIP solution */
2826  int primalindex /**< new primal index of solution */
2827  )
2828 {
2829  assert(sol != NULL);
2830 
2831  sol->primalindex = primalindex;
2832 }
2833 
2834 /** returns unique index of given solution */
2835 int SCIPsolGetIndex(
2836  SCIP_SOL* sol /**< primal CIP solution */
2837  )
2838 {
2839  assert(sol != NULL);
2840 
2841  return sol->index;
2842 }
2843 
2844 /** informs the solution that it now belongs to the given primal heuristic. For convenience and backwards compatibility,
2845  * the method accepts NULL as input for \p heur, in which case the solution type is set to SCIP_SOLTYPE_LPRELAX.
2846  *
2847  * @note Relaxation handlers should use SCIPsolSetRelax() instead.
2848  */
2849 void SCIPsolSetHeur(
2850  SCIP_SOL* sol, /**< primal CIP solution */
2851  SCIP_HEUR* heur /**< primal heuristic that found the solution, or NULL for LP solutions */
2852  )
2853 {
2854  assert(sol != NULL);
2855 
2856  if( heur == NULL )
2857  SCIPsolSetLPRelaxation(sol);
2858  else
2859  {
2860  sol->type = SCIP_SOLTYPE_HEUR;
2861  sol->creator.heur = heur;
2862  }
2863 }
2864 
2865 /** gets information if solution was found by the LP, a primal heuristic, or a custom relaxator */
2866 SCIP_SOLTYPE SCIPsolGetType(
2867  SCIP_SOL* sol /**< primal CIP solution */
2868  )
2869 {
2870  assert(sol != NULL);
2871 
2872  return sol->type;
2873 }
2874 
2875 /** gets relaxation handler that found this solution, or NULL if solution has different type than SCIP_SOLTYPE_RELAX */
2876 SCIP_RELAX* SCIPsolGetRelax(
2877  SCIP_SOL* sol /**< primal CIP solution */
2878  )
2879 {
2880  assert(sol != NULL);
2881 
2882  return sol->type == SCIP_SOLTYPE_RELAX ? sol->creator.relax : NULL;
2883 }
2884 
2885 /** informs the solution that it now belongs to the given relaxation handler */
2886 void SCIPsolSetRelax(
2887  SCIP_SOL* sol, /**< primal CIP solution */
2888  SCIP_RELAX* relax /**< relaxator that found the solution */
2889  )
2890 {
2891  assert(sol != NULL);
2892  assert(relax != NULL);
2893 
2894  sol->type = SCIP_SOLTYPE_RELAX;
2895  sol->creator.relax = relax;
2896 }
2897 
2898 /** informs the solution that it is an LP relaxation solution */
2899 void SCIPsolSetLPRelaxation(
2900  SCIP_SOL* sol /**< primal CIP solution */
2901  )
2902 {
2903  assert(sol != NULL);
2904 
2905  sol->type = SCIP_SOLTYPE_LPRELAX;
2906 }
2907 
2908 /** informs the solution that it is a solution found during strong branching */
2909 void SCIPsolSetStrongbranching(
2910  SCIP_SOL* sol /**< primal CIP solution */
2911  )
2912 {
2913  assert(sol != NULL);
2914 
2915  sol->type = SCIP_SOLTYPE_STRONGBRANCH;
2916 }
2917 
2918 /** informs the solution that it originates from a pseudo solution */
2919 void SCIPsolSetPseudo(
2920  SCIP_SOL* sol /**< primal CIP solution */
2921  )
2922 {
2923  assert(sol != NULL);
2924 
2925  sol->type = SCIP_SOLTYPE_PSEUDO;
2926 }
2927 
SCIP_RESULT
enum SCIP_Result SCIP_RESULT
Definition: type_result.h:61
SCIPsolIsOriginal
SCIP_Bool SCIPsolIsOriginal(SCIP_SOL *sol)
Definition: sol.c:2721
SCIPsolSetLPRelaxation
void SCIPsolSetLPRelaxation(SCIP_SOL *sol)
Definition: sol.c:2899
SCIPsolCreateRelaxSol
SCIP_RETCODE SCIPsolCreateRelaxSol(SCIP_SOL **sol, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PRIMAL *primal, SCIP_TREE *tree, SCIP_RELAXATION *relaxation, SCIP_HEUR *heur)
Definition: sol.c:652
SCIP_Prob::origcheckconss
SCIP_CONS ** origcheckconss
Definition: struct_prob.h:69
SCIPsolUnlink
SCIP_RETCODE SCIPsolUnlink(SCIP_SOL *sol, SCIP_SET *set, SCIP_PROB *prob)
Definition: sol.c:1048
SCIPsetIsInfinity
SCIP_Bool SCIPsetIsInfinity(SCIP_SET *set, SCIP_Real val)
Definition: set.c:6281
SCIPsolRound
SCIP_RETCODE SCIPsolRound(SCIP_SOL *sol, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *prob, SCIP_TREE *tree, SCIP_Bool *success)
Definition: sol.c:1959
SCIPsolCreatePartial
SCIP_RETCODE SCIPsolCreatePartial(SCIP_SOL **sol, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PRIMAL *primal, SCIP_HEUR *heur)
Definition: sol.c:730
NULL
#define NULL
Definition: def.h:267
SCIPsolCheckOrig
SCIP_RETCODE SCIPsolCheckOrig(SCIP_SOL *sol, SCIP_SET *set, SCIP_MESSAGEHDLR *messagehdlr, BMS_BLKMEM *blkmem, SCIP_STAT *stat, SCIP_PROB *prob, SCIP_PRIMAL *primal, SCIP_Bool printreason, SCIP_Bool completely, SCIP_Bool checkbounds, SCIP_Bool checkintegrality, SCIP_Bool checklprows, SCIP_Bool checkmodifiable, SCIP_Bool *feasible)
Definition: sol.c:1671
SCIPsolLinkPseudoSol
SCIP_RETCODE SCIPsolLinkPseudoSol(SCIP_SOL *sol, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *prob, SCIP_TREE *tree, SCIP_LP *lp)
Definition: sol.c:959
SCIPsetIsLE
SCIP_Bool SCIPsetIsLE(SCIP_SET *set, SCIP_Real val1, SCIP_Real val2)
Definition: set.c:6339
sol.h
internal methods for storing primal CIP solutions
SCIP_Stat::solindex
int solindex
Definition: struct_stat.h:270
SCIPprobGetNBinVars
int SCIPprobGetNBinVars(SCIP_PROB *prob)
Definition: prob.c:2402
SCIPvarMarkNotDeletable
void SCIPvarMarkNotDeletable(SCIP_VAR *var)
Definition: var.c:17664
SCIPvarGetNLocksDownType
int SCIPvarGetNLocksDownType(SCIP_VAR *var, SCIP_LOCKTYPE locktype)
Definition: var.c:3296
SCIPlpDiving
SCIP_Bool SCIPlpDiving(SCIP_LP *lp)
Definition: lp.c:17847
SCIPprimalSolFreed
void SCIPprimalSolFreed(SCIP_PRIMAL *primal, SCIP_SOL *sol)
Definition: primal.c:1701
SCIPvarGetMultaggrScalars
SCIP_Real * SCIPvarGetMultaggrScalars(SCIP_VAR *var)
Definition: var.c:17871
SCIPrelaxationGetSolObj
SCIP_Real SCIPrelaxationGetSolObj(SCIP_RELAXATION *relaxation)
Definition: relax.c:839
SCIP_SOLORIGIN_RELAXSOL
Definition: type_sol.h:46
SCIPsolGetRelBoundViolation
SCIP_Real SCIPsolGetRelBoundViolation(SCIP_SOL *sol)
Definition: sol.c:2623
SCIPsolSetRelax
void SCIPsolSetRelax(SCIP_SOL *sol, SCIP_RELAX *relax)
Definition: sol.c:2886
tree.h
internal methods for branch and bound tree
SCIP_Viol::absviolbounds
SCIP_Real absviolbounds
Definition: struct_sol.h:52
SCIP_VARSTATUS_ORIGINAL
Definition: type_var.h:49
SCIPstatDebugMsg
#define SCIPstatDebugMsg
Definition: stat.h:322
SCIPsetFloor
SCIP_Real SCIPsetFloor(SCIP_SET *set, SCIP_Real val)
Definition: set.c:6468
SCIP_Sol::depth
int depth
Definition: struct_sol.h:88
SCIPvarGetLbGlobal
SCIP_Real SCIPvarGetLbGlobal(SCIP_VAR *var)
Definition: var.c:18079
SCIPsolLinkNLPSol
SCIP_RETCODE SCIPsolLinkNLPSol(SCIP_SOL *sol, SCIP_STAT *stat, SCIP_TREE *tree, SCIP_NLP *nlp)
Definition: sol.c:878
SCIPvarGetNLocksUpType
int SCIPvarGetNLocksUpType(SCIP_VAR *var, SCIP_LOCKTYPE locktype)
Definition: var.c:3354
SCIP_SOLORIGIN_ORIGINAL
Definition: type_sol.h:42
clock.h
internal methods for clocks and timing issues
SCIP_SOLORIGIN_NLPSOL
Definition: type_sol.h:45
SCIPcolGetVals
SCIP_Real * SCIPcolGetVals(SCIP_COL *col)
Definition: lp.c:17161
SCIPsetIsPositive
SCIP_Bool SCIPsetIsPositive(SCIP_SET *set, SCIP_Real val)
Definition: set.c:6404
SCIP_Sol::nodenum
SCIP_Longint nodenum
Definition: struct_sol.h:77
SCIPvarGetMultaggrVars
SCIP_VAR ** SCIPvarGetMultaggrVars(SCIP_VAR *var)
Definition: var.c:17859
SCIPrealarrayCreate
SCIP_RETCODE SCIPrealarrayCreate(SCIP_REALARRAY **realarray, BMS_BLKMEM *blkmem)
Definition: misc.c:4030
SCIPboolarrayGetVal
SCIP_Bool SCIPboolarrayGetVal(SCIP_BOOLARRAY *boolarray, int idx)
Definition: misc.c:5013
SCIPvarGetLbLocal
SCIP_Real SCIPvarGetLbLocal(SCIP_VAR *var)
Definition: var.c:18135
SCIP_Prob::nintvars
int nintvars
Definition: struct_prob.h:73
SCIPsolLinkLPSol
SCIP_RETCODE SCIPsolLinkLPSol(SCIP_SOL *sol, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *prob, SCIP_TREE *tree, SCIP_LP *lp)
Definition: sol.c:820
SCIP_Var
Definition: struct_var.h:207
SCIPsolCreateUnknown
SCIP_RETCODE SCIPsolCreateUnknown(SCIP_SOL **sol, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PRIMAL *primal, SCIP_TREE *tree, SCIP_HEUR *heur)
Definition: sol.c:766
SCIPsetInfinity
SCIP_Real SCIPsetInfinity(SCIP_SET *set)
Definition: set.c:6146
SCIPsolLinkCurrentSol
SCIP_RETCODE SCIPsolLinkCurrentSol(SCIP_SOL *sol, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *prob, SCIP_TREE *tree, SCIP_LP *lp)
Definition: sol.c:988
SCIP_Sol::creator
union SCIP_Sol::@18 creator
SCIP_Sol::heur
SCIP_HEUR * heur
Definition: struct_sol.h:83
SCIP_Sol::type
SCIP_SOLTYPE type
Definition: struct_sol.h:96
SCIP_Viol::relviolcons
SCIP_Real relviolcons
Definition: struct_sol.h:58
SCIProwGetLhs
SCIP_Real SCIProwGetLhs(SCIP_ROW *row)
Definition: lp.c:17292
FALSE
#define FALSE
Definition: def.h:94
SCIP_Primal
Definition: struct_primal.h:46
SCIPsetIsFeasIntegral
SCIP_Bool SCIPsetIsFeasIntegral(SCIP_SET *set, SCIP_Real val)
Definition: set.c:6822
SCIP_Prob::objoffset
SCIP_Real objoffset
Definition: struct_prob.h:50
SCIP_Lp::solved
SCIP_Bool solved
Definition: struct_lp.h:367
SCIPrelDiff
SCIP_Real SCIPrelDiff(SCIP_Real val1, SCIP_Real val2)
Definition: misc.c:11184
SCIP_SOLORIGIN_PSEUDOSOL
Definition: type_sol.h:47
SCIPsolCopy
SCIP_RETCODE SCIPsolCopy(SCIP_SOL **sol, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PRIMAL *primal, SCIP_SOL *sourcesol)
Definition: sol.c:362
SCIPsetIsZero
SCIP_Bool SCIPsetIsZero(SCIP_SET *set, SCIP_Real val)
Definition: set.c:6393
SCIP_Messagehdlr
Definition: struct_message.h:45
TRUE
#define TRUE
Definition: def.h:93
SCIP_RETCODE
enum SCIP_Retcode SCIP_RETCODE
Definition: type_retcode.h:63
SCIPvarGetNegationConstant
SCIP_Real SCIPvarGetNegationConstant(SCIP_VAR *var)
Definition: var.c:17916
SCIPsolSetPrimalIndex
void SCIPsolSetPrimalIndex(SCIP_SOL *sol, int primalindex)
Definition: sol.c:2824
SCIPprobInternObjval
SCIP_Real SCIPprobInternObjval(SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_SET *set, SCIP_Real objval)
Definition: prob.c:2179
SCIPsetAllocBufferArray
#define SCIPsetAllocBufferArray(set, ptr, num)
Definition: set.h:1748
SCIPtreeGetCurrentDepth
int SCIPtreeGetCurrentDepth(SCIP_TREE *tree)
Definition: tree.c:8450
SCIPsolGetRayVal
SCIP_Real SCIPsolGetRayVal(SCIP_SOL *sol, SCIP_SET *set, SCIP_STAT *stat, SCIP_VAR *var)
Definition: sol.c:1502
SCIPsolSetUnknown
SCIP_RETCODE SCIPsolSetUnknown(SCIP_SOL *sol, SCIP_STAT *stat, SCIP_TREE *tree)
Definition: sol.c:1031
SCIPvarGetProbindex
int SCIPvarGetProbindex(SCIP_VAR *var)
Definition: var.c:17769
SCIPboolarrayCopy
SCIP_RETCODE SCIPboolarrayCopy(SCIP_BOOLARRAY **boolarray, BMS_BLKMEM *blkmem, SCIP_BOOLARRAY *sourceboolarray)
Definition: misc.c:4787
SCIPsolsAreEqual
SCIP_Bool SCIPsolsAreEqual(SCIP_SOL *sol1, SCIP_SOL *sol2, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *origprob, SCIP_PROB *transprob)
Definition: sol.c:2221
SCIPsolGetTime
SCIP_Real SCIPsolGetTime(SCIP_SOL *sol)
Definition: sol.c:2764
SCIPvarGetAggrScalar
SCIP_Real SCIPvarGetAggrScalar(SCIP_VAR *var)
Definition: var.c:17823
SCIP_Prob
Definition: struct_prob.h:48
pub_var.h
public methods for problem variables
SCIP_Prob::fixedvars
SCIP_VAR ** fixedvars
Definition: struct_prob.h:65
SCIPrelaxationGetSolRelax
SCIP_RELAX * SCIPrelaxationGetSolRelax(SCIP_RELAXATION *relaxation)
Definition: relax.c:891
SCIPlpGetPseudoObjval
SCIP_Real SCIPlpGetPseudoObjval(SCIP_LP *lp, SCIP_SET *set, SCIP_PROB *prob)
Definition: lp.c:13302
SCIP_Stat::nruns
int nruns
Definition: struct_stat.h:219
SCIPrelaxationIsSolValid
SCIP_Bool SCIPrelaxationIsSolValid(SCIP_RELAXATION *relaxation)
Definition: relax.c:808
SCIPsolGetAbsConsViolation
SCIP_Real SCIPsolGetAbsConsViolation(SCIP_SOL *sol)
Definition: sol.c:2663
SCIPsetIsNegative
SCIP_Bool SCIPsetIsNegative(SCIP_SET *set, SCIP_Real val)
Definition: set.c:6415
SCIPsolClear
SCIP_RETCODE SCIPsolClear(SCIP_SOL *sol, SCIP_STAT *stat, SCIP_TREE *tree)
Definition: sol.c:1014
SCIPsetFreeBufferArray
#define SCIPsetFreeBufferArray(set, ptr)
Definition: set.h:1755
SCIPvarGetNegationVar
SCIP_VAR * SCIPvarGetNegationVar(SCIP_VAR *var)
Definition: var.c:17905
SCIPsetCeil
SCIP_Real SCIPsetCeil(SCIP_SET *set, SCIP_Real val)
Definition: set.c:6479
SCIP_Sol::runnum
int runnum
Definition: struct_sol.h:87
SCIPvarGetRelaxSolTransVar
SCIP_Real SCIPvarGetRelaxSolTransVar(SCIP_VAR *var)
Definition: var.c:13996
lp.h
internal methods for LP management
set
Definition: heur_padm.c:134
SCIPsolGetOrigObj
SCIP_Real SCIPsolGetOrigObj(SCIP_SOL *sol)
Definition: sol.c:2741
primal.h
internal methods for collecting primal CIP solutions and primal informations
SCIPsolGetVal
SCIP_Real SCIPsolGetVal(SCIP_SOL *sol, SCIP_SET *set, SCIP_STAT *stat, SCIP_VAR *var)
Definition: sol.c:1372
SCIPboolarraySetVal
SCIP_RETCODE SCIPboolarraySetVal(SCIP_BOOLARRAY *boolarray, int arraygrowinit, SCIP_Real arraygrowfac, int idx, SCIP_Bool val)
Definition: misc.c:5034
SCIPlpGetNCols
int SCIPlpGetNCols(SCIP_LP *lp)
Definition: lp.c:17575
SCIP_Col
Definition: struct_lp.h:135
SCIPsetIsGE
SCIP_Bool SCIPsetIsGE(SCIP_SET *set, SCIP_Real val1, SCIP_Real val2)
Definition: set.c:6375
SCIP_Sol
Definition: struct_sol.h:73
SCIP_Set
Definition: struct_set.h:73
SCIProwIsInLP
SCIP_Bool SCIProwIsInLP(SCIP_ROW *row)
Definition: lp.c:17523
SCIP_Prob::nvars
int nvars
Definition: struct_prob.h:71
SCIPsolGetRelConsViolation
SCIP_Real SCIPsolGetRelConsViolation(SCIP_SOL *sol)
Definition: sol.c:2673
SCIPrealarrayIncVal
SCIP_RETCODE SCIPrealarrayIncVal(SCIP_REALARRAY *realarray, int arraygrowinit, SCIP_Real arraygrowfac, int idx, SCIP_Real incval)
Definition: misc.c:4364
SCIPconshdlrGetCheckPriority
int SCIPconshdlrGetCheckPriority(SCIP_CONSHDLR *conshdlr)
Definition: cons.c:5122
SCIPvarGetUbGlobal
SCIP_Real SCIPvarGetUbGlobal(SCIP_VAR *var)
Definition: var.c:18089
SCIPsetIsLT
SCIP_Bool SCIPsetIsLT(SCIP_SET *set, SCIP_Real val1, SCIP_Real val2)
Definition: set.c:6321
SCIPclockGetLastTime
SCIP_Real SCIPclockGetLastTime(SCIP_CLOCK *clck)
Definition: clock.c:529
SCIPtreeProbing
SCIP_Bool SCIPtreeProbing(SCIP_TREE *tree)
Definition: tree.c:8332
SCIPnlpIsDivingObjChanged
SCIP_Bool SCIPnlpIsDivingObjChanged(SCIP_NLP *nlp)
Definition: nlp.c:4784
solStamp
static void solStamp(SCIP_SOL *sol, SCIP_STAT *stat, SCIP_TREE *tree, SCIP_Bool checktime)
Definition: sol.c:260
SCIPsolGetObj
SCIP_Real SCIPsolGetObj(SCIP_SOL *sol, SCIP_SET *set, SCIP_PROB *transprob, SCIP_PROB *origprob)
Definition: sol.c:1571
SCIPsolGetAbsIntegralityViolation
SCIP_Real SCIPsolGetAbsIntegralityViolation(SCIP_SOL *sol)
Definition: sol.c:2633
SCIP_RealArray
Definition: struct_misc.h:157
SCIPprobGetNImplVars
int SCIPprobGetNImplVars(SCIP_PROB *prob)
Definition: prob.c:2420
SCIPsolUpdateVarsum
void SCIPsolUpdateVarsum(SCIP_SOL *sol, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *prob, SCIP_Real weight)
Definition: sol.c:2031
SCIPrealarrayCopy
SCIP_RETCODE SCIPrealarrayCopy(SCIP_REALARRAY **realarray, BMS_BLKMEM *blkmem, SCIP_REALARRAY *sourcerealarray)
Definition: misc.c:4050
prob.h
internal methods for storing and manipulating the main problem
SCIP_Cons
Definition: struct_cons.h:46
SCIPerrorMessage
#define SCIPerrorMessage
Definition: pub_message.h:64
SCIPconshdlrGetName
const char * SCIPconshdlrGetName(SCIP_CONSHDLR *conshdlr)
Definition: cons.c:4199
SCIPvarGetLbOriginal
SCIP_Real SCIPvarGetLbOriginal(SCIP_VAR *var)
Definition: var.c:18025
SCIPdebugPrintf
#define SCIPdebugPrintf
Definition: pub_message.h:99
SCIP_Stat::lpcount
SCIP_Longint lpcount
Definition: struct_stat.h:190
SCIP_SOLORIGIN_ZERO
Definition: type_sol.h:43
SCIPcolGetRows
SCIP_ROW ** SCIPcolGetRows(SCIP_COL *col)
Definition: lp.c:17151
SCIPsolCreateCurrentSol
SCIP_RETCODE SCIPsolCreateCurrentSol(SCIP_SOL **sol, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *prob, SCIP_PRIMAL *primal, SCIP_TREE *tree, SCIP_LP *lp, SCIP_HEUR *heur)
Definition: sol.c:703
SCIP_SOLTYPE_PSEUDO
Definition: type_sol.h:69
SCIPboolarrayCreate
SCIP_RETCODE SCIPboolarrayCreate(SCIP_BOOLARRAY **boolarray, BMS_BLKMEM *blkmem)
Definition: misc.c:4767
SCIPlpGetCols
SCIP_COL ** SCIPlpGetCols(SCIP_LP *lp)
Definition: lp.c:17565
SCIPvarGetUbOriginal
SCIP_Real SCIPvarGetUbOriginal(SCIP_VAR *var)
Definition: var.c:18045
SCIProwIsLocal
SCIP_Bool SCIProwIsLocal(SCIP_ROW *row)
Definition: lp.c:17401
SCIPvarIsTransformedOrigvar
SCIP_Bool SCIPvarIsTransformedOrigvar(SCIP_VAR *var)
Definition: var.c:12862
SCIPrealarrayGetVal
SCIP_Real SCIPrealarrayGetVal(SCIP_REALARRAY *realarray, int idx)
Definition: misc.c:4274
SCIP_FEASIBLE
Definition: type_result.h:45
SCIP_Var::primsolavg
SCIP_Real primsolavg
Definition: struct_var.h:218
SCIPnlpGetObjval
SCIP_Real SCIPnlpGetObjval(SCIP_NLP *nlp)
Definition: nlp.c:4080
SCIPsolSetVal
SCIP_RETCODE SCIPsolSetVal(SCIP_SOL *sol, SCIP_SET *set, SCIP_STAT *stat, SCIP_TREE *tree, SCIP_VAR *var, SCIP_Real val)
Definition: sol.c:1077
SCIPvarGetAggrConstant
SCIP_Real SCIPvarGetAggrConstant(SCIP_VAR *var)
Definition: var.c:17835
SCIPvarGetName
const char * SCIPvarGetName(SCIP_VAR *var)
Definition: var.c:17420
SCIP_SOLTYPE_RELAX
Definition: type_sol.h:66
SCIPclockGetTime
SCIP_Real SCIPclockGetTime(SCIP_CLOCK *clck)
Definition: clock.c:438
nlp.h
internal methods for NLP management
SCIP_VARSTATUS_COLUMN
Definition: type_var.h:51
SCIPsetFeasCeil
SCIP_Real SCIPsetFeasCeil(SCIP_SET *set, SCIP_Real val)
Definition: set.c:6857
SCIPsolGetRelax
SCIP_RELAX * SCIPsolGetRelax(SCIP_SOL *sol)
Definition: sol.c:2876
solIncArrayVal
static SCIP_RETCODE solIncArrayVal(SCIP_SOL *sol, SCIP_SET *set, SCIP_VAR *var, SCIP_Real incval)
Definition: sol.c:106
SCIP_VARSTATUS_AGGREGATED
Definition: type_var.h:53
misc.h
internal miscellaneous methods
SCIPboolarrayClear
SCIP_RETCODE SCIPboolarrayClear(SCIP_BOOLARRAY *boolarray)
Definition: misc.c:4982
SCIPsolGetHeur
SCIP_HEUR * SCIPsolGetHeur(SCIP_SOL *sol)
Definition: sol.c:2804
SCIP_Viol::relviollprows
SCIP_Real relviollprows
Definition: struct_sol.h:55
REALABS
#define REALABS(x)
Definition: def.h:197
SCIPvarGetLPSol
SCIP_Real SCIPvarGetLPSol(SCIP_VAR *var)
Definition: var.c:18453
SCIPprimalUpdateViolations
SCIP_Bool SCIPprimalUpdateViolations(SCIP_PRIMAL *primal)
Definition: primal.c:1978
SCIP_OKAY
Definition: type_retcode.h:42
pub_sol.h
public methods for primal CIP solutions
SCIPsolSetPseudo
void SCIPsolSetPseudo(SCIP_SOL *sol)
Definition: sol.c:2919
solUnlinkVar
static SCIP_RETCODE solUnlinkVar(SCIP_SOL *sol, SCIP_SET *set, SCIP_VAR *var)
Definition: sol.c:198
SCIPsolCreateOriginal
SCIP_RETCODE SCIPsolCreateOriginal(SCIP_SOL **sol, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *origprob, SCIP_PRIMAL *primal, SCIP_TREE *tree, SCIP_HEUR *heur)
Definition: sol.c:325
set.h
internal methods for global SCIP settings
SCIP_CALL
#define SCIP_CALL(x)
Definition: def.h:380
SCIP_Viol::absviollprows
SCIP_Real absviollprows
Definition: struct_sol.h:54
SCIP_Sol::lpcount
SCIP_Longint lpcount
Definition: struct_sol.h:98
SCIPsetIsFeasGE
SCIP_Bool SCIPsetIsFeasGE(SCIP_SET *set, SCIP_Real val1, SCIP_Real val2)
Definition: set.c:6767
SCIPvarGetMultaggrConstant
SCIP_Real SCIPvarGetMultaggrConstant(SCIP_VAR *var)
Definition: var.c:17883
h
SCIP_VAR * h
Definition: circlepacking.c:68
SCIPmessagePrintInfo
void SCIPmessagePrintInfo(SCIP_MESSAGEHDLR *messagehdlr, const char *formatstr,...)
Definition: message.c:594
SCIP_Sol::primalindex
int primalindex
Definition: struct_sol.h:89
SCIProwGetRhs
SCIP_Real SCIProwGetRhs(SCIP_ROW *row)
Definition: lp.c:17302
relax.h
internal methods for relaxators
SCIPsetIsEQ
SCIP_Bool SCIPsetIsEQ(SCIP_SET *set, SCIP_Real val1, SCIP_Real val2)
Definition: set.c:6303
SCIPlpGetObjval
SCIP_Real SCIPlpGetObjval(SCIP_LP *lp, SCIP_SET *set, SCIP_PROB *prob)
Definition: lp.c:13119
SCIP_Heur
Definition: struct_heur.h:97
SCIPsetIsFeasLE
SCIP_Bool SCIPsetIsFeasLE(SCIP_SET *set, SCIP_Real val1, SCIP_Real val2)
Definition: set.c:6723
struct_sol.h
datastructures for storing primal CIP solutions
SCIPprobGetNIntVars
int SCIPprobGetNIntVars(SCIP_PROB *prob)
Definition: prob.c:2411
SCIPsolTransform
SCIP_RETCODE SCIPsolTransform(SCIP_SOL *sol, SCIP_SOL **transsol, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_PRIMAL *primal)
Definition: sol.c:426
SCIPconshdlrNeedsCons
SCIP_Bool SCIPconshdlrNeedsCons(SCIP_CONSHDLR *conshdlr)
Definition: cons.c:5162
SCIPsolGetType
SCIP_SOLTYPE SCIPsolGetType(SCIP_SOL *sol)
Definition: sol.c:2866
SCIPsolRecomputeObj
void SCIPsolRecomputeObj(SCIP_SOL *sol, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *origprob)
Definition: sol.c:2186
SCIProwGetSolActivity
SCIP_Real SCIProwGetSolActivity(SCIP_ROW *row, SCIP_SET *set, SCIP_STAT *stat, SCIP_SOL *sol)
Definition: lp.c:6466
BMSfreeBlockMemory
#define BMSfreeBlockMemory(mem, ptr)
Definition: memory.h:465
var.h
internal methods for problem variables
SCIP_UNKNOWN
#define SCIP_UNKNOWN
Definition: def.h:194
SCIPprimalSolCreated
SCIP_RETCODE SCIPprimalSolCreated(SCIP_PRIMAL *primal, SCIP_SET *set, SCIP_SOL *sol)
Definition: primal.c:1679
SCIP_Bool
#define SCIP_Bool
Definition: def.h:91
SCIP_VARTYPE_IMPLINT
Definition: type_var.h:64
SCIP_Sol::viol
SCIP_VIOL viol
Definition: struct_sol.h:86
SCIPsolGetNodenum
SCIP_Longint SCIPsolGetNodenum(SCIP_SOL *sol)
Definition: sol.c:2784
SCIP_Prob::nbinvars
int nbinvars
Definition: struct_prob.h:72
SCIPprobGetObjoffset
SCIP_Real SCIPprobGetObjoffset(SCIP_PROB *prob)
Definition: prob.c:2456
SCIPsolIncVal
SCIP_RETCODE SCIPsolIncVal(SCIP_SOL *sol, SCIP_SET *set, SCIP_STAT *stat, SCIP_TREE *tree, SCIP_VAR *var, SCIP_Real incval)
Definition: sol.c:1296
SCIPsolGetAbsBoundViolation
SCIP_Real SCIPsolGetAbsBoundViolation(SCIP_SOL *sol)
Definition: sol.c:2613
SCIPvarGetNLPSol
SCIP_Real SCIPvarGetNLPSol(SCIP_VAR *var)
Definition: var.c:18466
SCIPsolCreate
SCIP_RETCODE SCIPsolCreate(SCIP_SOL **sol, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PRIMAL *primal, SCIP_TREE *tree, SCIP_HEUR *heur)
Definition: sol.c:288
SCIP_VARSTATUS_NEGATED
Definition: type_var.h:55
SCIPrealarrayFree
SCIP_RETCODE SCIPrealarrayFree(SCIP_REALARRAY **realarray)
Definition: misc.c:4074
SCIPsolSetHeur
void SCIPsolSetHeur(SCIP_SOL *sol, SCIP_HEUR *heur)
Definition: sol.c:2849
SCIPsolResetViolations
void SCIPsolResetViolations(SCIP_SOL *sol)
Definition: sol.c:2534
SCIPlpDivingObjChanged
SCIP_Bool SCIPlpDivingObjChanged(SCIP_LP *lp)
Definition: lp.c:17857
SCIPsolRetransform
SCIP_RETCODE SCIPsolRetransform(SCIP_SOL *sol, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *origprob, SCIP_PROB *transprob, SCIP_Bool *hasinfval)
Definition: sol.c:2059
SCIP_Row
Definition: struct_lp.h:201
SCIPsolMarkPartial
SCIP_RETCODE SCIPsolMarkPartial(SCIP_SOL *sol, SCIP_SET *set, SCIP_STAT *stat, SCIP_VAR **vars, int nvars)
Definition: sol.c:1607
SCIPsolPrint
SCIP_RETCODE SCIPsolPrint(SCIP_SOL *sol, SCIP_SET *set, SCIP_MESSAGEHDLR *messagehdlr, SCIP_STAT *stat, SCIP_PROB *prob, SCIP_PROB *transprob, FILE *file, SCIP_Bool mipstart, SCIP_Bool printzeros)
Definition: sol.c:2286
SCIPconsGetHdlr
SCIP_CONSHDLR * SCIPconsGetHdlr(SCIP_CONS *cons)
Definition: cons.c:8236
SCIPsolUpdateConsViolation
void SCIPsolUpdateConsViolation(SCIP_SOL *sol, SCIP_Real absviolcons, SCIP_Real relviolcons)
Definition: sol.c:2587
SCIPvarGetUnchangedObj
SCIP_Real SCIPvarGetUnchangedObj(SCIP_VAR *var)
Definition: var.c:17937
pub_lp.h
public methods for LP management
SCIPsetDebugMsg
#define SCIPsetDebugMsg
Definition: set.h:1784
SCIP_BoolArray
Definition: struct_misc.h:179
SCIPsolOrigAddObjval
void SCIPsolOrigAddObjval(SCIP_SOL *sol, SCIP_Real addval)
Definition: sol.c:2752
SCIPconsIsChecked
SCIP_Bool SCIPconsIsChecked(SCIP_CONS *cons)
Definition: cons.c:8415
SCIPvarGetObj
SCIP_Real SCIPvarGetObj(SCIP_VAR *var)
Definition: var.c:17927
solSetArrayVal
static SCIP_RETCODE solSetArrayVal(SCIP_SOL *sol, SCIP_SET *set, SCIP_VAR *var, SCIP_Real val)
Definition: sol.c:75
SCIPvarGetAggrVar
SCIP_VAR * SCIPvarGetAggrVar(SCIP_VAR *var)
Definition: var.c:17811
SCIP_VARSTATUS_LOOSE
Definition: type_var.h:50
SCIP_VARSTATUS_MULTAGGR
Definition: type_var.h:54
SCIPtreeHasCurrentNodeLP
SCIP_Bool SCIPtreeHasCurrentNodeLP(SCIP_TREE *tree)
Definition: tree.c:8467
SCIPnlpGetNVars
int SCIPnlpGetNVars(SCIP_NLP *nlp)
Definition: nlp.c:4305
SCIPsolUpdateBoundViolation
void SCIPsolUpdateBoundViolation(SCIP_SOL *sol, SCIP_Real absviolbounds, SCIP_Real relviolbounds)
Definition: sol.c:2561
SCIPvarGetCol
SCIP_COL * SCIPvarGetCol(SCIP_VAR *var)
Definition: var.c:17790
SCIP_SOLORIGIN_PARTIAL
Definition: type_sol.h:48
struct_stat.h
datastructures for problem statistics
SCIPvarGetMultaggrNVars
int SCIPvarGetMultaggrNVars(SCIP_VAR *var)
Definition: var.c:17847
SCIP_Prob::transformed
SCIP_Bool transformed
Definition: struct_prob.h:89
SCIPvarGetOrigvarSum
SCIP_RETCODE SCIPvarGetOrigvarSum(SCIP_VAR **var, SCIP_Real *scalar, SCIP_Real *constant)
Definition: var.c:12775
SCIPsetIsFeasLT
SCIP_Bool SCIPsetIsFeasLT(SCIP_SET *set, SCIP_Real val1, SCIP_Real val2)
Definition: set.c:6701
SCIP_Prob::nfixedvars
int nfixedvars
Definition: struct_prob.h:78
SCIPsolPrintRay
SCIP_RETCODE SCIPsolPrintRay(SCIP_SOL *sol, SCIP_SET *set, SCIP_MESSAGEHDLR *messagehdlr, SCIP_STAT *stat, SCIP_PROB *prob, SCIP_PROB *transprob, FILE *file, SCIP_Bool printzeros)
Definition: sol.c:2422
SCIPsolUpdateIntegralityViolation
void SCIPsolUpdateIntegralityViolation(SCIP_SOL *sol, SCIP_Real absviolintegrality)
Definition: sol.c:2550
SCIPsolAdjustImplicitSolVals
SCIP_RETCODE SCIPsolAdjustImplicitSolVals(SCIP_SOL *sol, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *prob, SCIP_TREE *tree, SCIP_Bool uselprows)
Definition: sol.c:473
SCIP_SOLORIGIN_UNKNOWN
Definition: type_sol.h:51
SCIP_Sol::solorigin
SCIP_SOLORIGIN solorigin
Definition: struct_sol.h:91
solClearArrays
static SCIP_RETCODE solClearArrays(SCIP_SOL *sol)
Definition: sol.c:61
SCIPlpGetLooseObjval
SCIP_Real SCIPlpGetLooseObjval(SCIP_LP *lp, SCIP_SET *set, SCIP_PROB *prob)
Definition: lp.c:13158
struct_prob.h
datastructures for storing and manipulating the main problem
r
SCIP_Real * r
Definition: circlepacking.c:59
SCIPsolLinkRelaxSol
SCIP_RETCODE SCIPsolLinkRelaxSol(SCIP_SOL *sol, SCIP_SET *set, SCIP_STAT *stat, SCIP_TREE *tree, SCIP_RELAXATION *relaxation)
Definition: sol.c:929
SCIPsetFeasFloor
SCIP_Real SCIPsetFeasFloor(SCIP_SET *set, SCIP_Real val)
Definition: set.c:6846
SCIP_LONGINT_FORMAT
#define SCIP_LONGINT_FORMAT
Definition: def.h:165
SCIP_SOLTYPE_HEUR
Definition: type_sol.h:65
SCIPcolGetNNonz
int SCIPcolGetNNonz(SCIP_COL *col)
Definition: lp.c:17126
MAX
#define MAX(x, y)
Definition: def.h:239
SCIP_SOLTYPE_LPRELAX
Definition: type_sol.h:67
SCIPsolGetRelLPRowViolation
SCIP_Real SCIPsolGetRelLPRowViolation(SCIP_SOL *sol)
Definition: sol.c:2653
SCIPcolGetVar
SCIP_VAR * SCIPcolGetVar(SCIP_COL *col)
Definition: lp.c:17042
scalars
static const SCIP_Real scalars[]
Definition: lp.c:5743
SCIPsolUpdateLPRowViolation
void SCIPsolUpdateLPRowViolation(SCIP_SOL *sol, SCIP_Real absviollprows, SCIP_Real relviollprows)
Definition: sol.c:2574
SCIP_Lp
Definition: struct_lp.h:269
SCIPsolCreateLPSol
SCIP_RETCODE SCIPsolCreateLPSol(SCIP_SOL **sol, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *prob, SCIP_PRIMAL *primal, SCIP_TREE *tree, SCIP_LP *lp, SCIP_HEUR *heur)
Definition: sol.c:608
SCIPvarGetActiveRepresentatives
SCIP_RETCODE SCIPvarGetActiveRepresentatives(SCIP_SET *set, SCIP_VAR **vars, SCIP_Real *scalars, int *nvars, int varssize, SCIP_Real *constant, int *requiredsize, SCIP_Bool mergemultiples)
Definition: var.c:3930
SCIP_Stat::solvingtime
SCIP_CLOCK * solvingtime
Definition: struct_stat.h:160
SCIP_Prob::nconss
int nconss
Definition: struct_prob.h:83
SCIPboolarrayFree
SCIP_RETCODE SCIPboolarrayFree(SCIP_BOOLARRAY **boolarray)
Definition: misc.c:4811
pub_message.h
public methods for message output
SCIPsolGetOrigin
SCIP_SOLORIGIN SCIPsolGetOrigin(SCIP_SOL *sol)
Definition: sol.c:2711
struct_lp.h
data structures for LP management
SCIP_Nlp
Definition: struct_nlp.h:100
SCIP_SOLTYPE_UNKNOWN
Definition: type_sol.h:64
SCIP_LOCKTYPE_MODEL
Definition: type_var.h:97
SCIPmessageFPrintInfo
void SCIPmessageFPrintInfo(SCIP_MESSAGEHDLR *messagehdlr, FILE *file, const char *formatstr,...)
Definition: message.c:618
SCIPsetIsGT
SCIP_Bool SCIPsetIsGT(SCIP_SET *set, SCIP_Real val1, SCIP_Real val2)
Definition: set.c:6357
struct_var.h
datastructures for problem variables
SCIPvarGetStatus
SCIP_VARSTATUS SCIPvarGetStatus(SCIP_VAR *var)
Definition: var.c:17539
solGetArrayVal
static SCIP_Real solGetArrayVal(SCIP_SOL *sol, SCIP_VAR *var)
Definition: sol.c:147
SCIPsolGetPrimalIndex
int SCIPsolGetPrimalIndex(SCIP_SOL *sol)
Definition: sol.c:2814
SCIPsolUpdateVarObj
void SCIPsolUpdateVarObj(SCIP_SOL *sol, SCIP_VAR *var, SCIP_Real oldobj, SCIP_Real newobj)
Definition: sol.c:1588
SCIP_Sol::time
SCIP_Real time
Definition: struct_sol.h:76
SCIP_Real
#define SCIP_Real
Definition: def.h:173
SCIPconsIsModifiable
SCIP_Bool SCIPconsIsModifiable(SCIP_CONS *cons)
Definition: cons.c:8465
stat.h
internal methods for problem statistics
SCIP_Prob::vars
SCIP_VAR ** vars
Definition: struct_prob.h:64
SCIPlpIsSolved
SCIP_Bool SCIPlpIsSolved(SCIP_LP *lp)
Definition: lp.c:17807
SCIPsetIsFeasPositive
SCIP_Bool SCIPsetIsFeasPositive(SCIP_SET *set, SCIP_Real val)
Definition: set.c:6800
SCIP_SOLTYPE
enum SCIP_SolType SCIP_SOLTYPE
Definition: type_sol.h:71
SCIPsetDebugMsgPrint
#define SCIPsetDebugMsgPrint
Definition: set.h:1785
SCIPprobGetVars
SCIP_VAR ** SCIPprobGetVars(SCIP_PROB *prob)
Definition: prob.c:2438
SCIP_INVALID
#define SCIP_INVALID
Definition: def.h:193
SCIP_SOLORIGIN
enum SCIP_SolOrigin SCIP_SOLORIGIN
Definition: type_sol.h:55
cons.h
internal methods for constraints and constraint handlers
SCIP_Col::primsol
SCIP_Real primsol
Definition: struct_lp.h:148
SCIPsolGetDepth
int SCIPsolGetDepth(SCIP_SOL *sol)
Definition: sol.c:2794
SCIP_Sol::vals
SCIP_REALARRAY * vals
Definition: struct_sol.h:78
SCIP_Longint
#define SCIP_Longint
Definition: def.h:158
SCIP_Viol::relviolbounds
SCIP_Real relviolbounds
Definition: struct_sol.h:53
SCIPnlpGetVars
SCIP_VAR ** SCIPnlpGetVars(SCIP_NLP *nlp)
Definition: nlp.c:4295
SCIPvarGetIndex
int SCIPvarGetIndex(SCIP_VAR *var)
Definition: var.c:17759
SCIPsolCreateNLPSol
SCIP_RETCODE SCIPsolCreateNLPSol(SCIP_SOL **sol, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PRIMAL *primal, SCIP_TREE *tree, SCIP_NLP *nlp, SCIP_HEUR *heur)
Definition: sol.c:631
SCIPisFinite
#define SCIPisFinite(x)
Definition: pub_misc.h:1933
SCIPsetIsFeasGT
SCIP_Bool SCIPsetIsFeasGT(SCIP_SET *set, SCIP_Real val1, SCIP_Real val2)
Definition: set.c:6745
SCIPrealarraySetVal
SCIP_RETCODE SCIPrealarraySetVal(SCIP_REALARRAY *realarray, int arraygrowinit, SCIP_Real arraygrowfac, int idx, SCIP_Real val)
Definition: misc.c:4295
SCIP_Sol::valid
SCIP_BOOLARRAY * valid
Definition: struct_sol.h:79
SCIPvarGetType
SCIP_VARTYPE SCIPvarGetType(SCIP_VAR *var)
Definition: var.c:17585
SCIPsolUpdateLPConsViolation
void SCIPsolUpdateLPConsViolation(SCIP_SOL *sol, SCIP_Real absviol, SCIP_Real relviol)
Definition: sol.c:2600
SCIP_Relax
Definition: struct_relax.h:46
SCIPsolSetStrongbranching
void SCIPsolSetStrongbranching(SCIP_SOL *sol)
Definition: sol.c:2909
SCIP_Relaxation
Definition: struct_relax.h:74
SCIP_SOLTYPE_STRONGBRANCH
Definition: type_sol.h:68
SCIP_Sol::relax
SCIP_RELAX * relax
Definition: struct_sol.h:84
SCIPvarGetUbLocal
SCIP_Real SCIPvarGetUbLocal(SCIP_VAR *var)
Definition: var.c:18145
SCIPvarIsTransformed
SCIP_Bool SCIPvarIsTransformed(SCIP_VAR *var)
Definition: var.c:17562
SCIP_Stat
Definition: struct_stat.h:59
BMSallocBlockMemory
#define BMSallocBlockMemory(mem, ptr)
Definition: memory.h:451
SCIP_Tree
Definition: struct_tree.h:184
SCIPsolCreatePseudoSol
SCIP_RETCODE SCIPsolCreatePseudoSol(SCIP_SOL **sol, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *prob, SCIP_PRIMAL *primal, SCIP_TREE *tree, SCIP_LP *lp, SCIP_HEUR *heur)
Definition: sol.c:678
SCIP_Viol::absviolintegrality
SCIP_Real absviolintegrality
Definition: struct_sol.h:56
SCIPsolIsPartial
SCIP_Bool SCIPsolIsPartial(SCIP_SOL *sol)
Definition: sol.c:2731
SCIP_Stat::nnodes
SCIP_Longint nnodes
Definition: struct_stat.h:82
SCIPprobSortConssCheck
SCIP_RETCODE SCIPprobSortConssCheck(SCIP_PROB *prob)
Definition: prob.c:715
SCIPsolGetRunnum
int SCIPsolGetRunnum(SCIP_SOL *sol)
Definition: sol.c:2774
BMS_BLKMEM
struct BMS_BlkMem BMS_BLKMEM
Definition: memory.h:437
SCIPconshdlrCheck
SCIP_RETCODE SCIPconshdlrCheck(SCIP_CONSHDLR *conshdlr, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_SOL *sol, SCIP_Bool checkintegrality, SCIP_Bool checklprows, SCIP_Bool printreason, SCIP_Bool completely, SCIP_RESULT *result)
Definition: cons.c:3762
SCIP_INVALIDDATA
Definition: type_retcode.h:52
SCIPvarGetPseudoSol
SCIP_Real SCIPvarGetPseudoSol(SCIP_VAR *var)
Definition: var.c:18531
SCIP_Viol::absviolcons
SCIP_Real absviolcons
Definition: struct_sol.h:57
SCIPvarGetTransVar
SCIP_VAR * SCIPvarGetTransVar(SCIP_VAR *var)
Definition: var.c:17779
SCIP_ALLOC
#define SCIP_ALLOC(x)
Definition: def.h:391
SCIPABORT
#define SCIPABORT()
Definition: def.h:352
SCIP_VARSTATUS_FIXED
Definition: type_var.h:52
SCIPvarIsIntegral
SCIP_Bool SCIPvarIsIntegral(SCIP_VAR *var)
Definition: var.c:17611
SCIP_Sol::hasinfval
SCIP_Bool hasinfval
Definition: struct_sol.h:92
SCIPsolCheck
SCIP_RETCODE SCIPsolCheck(SCIP_SOL *sol, SCIP_SET *set, SCIP_MESSAGEHDLR *messagehdlr, BMS_BLKMEM *blkmem, SCIP_STAT *stat, SCIP_PROB *prob, SCIP_Bool printreason, SCIP_Bool completely, SCIP_Bool checkbounds, SCIP_Bool checkintegrality, SCIP_Bool checklprows, SCIP_Bool *feasible)
Definition: sol.c:1838
SCIPnlpHasSolution
SCIP_Bool SCIPnlpHasSolution(SCIP_NLP *nlp)
Definition: nlp.c:4547
struct_set.h
datastructures for global SCIP settings
SCIPsolGetIndex
int SCIPsolGetIndex(SCIP_SOL *sol)
Definition: sol.c:2835
SCIP_Sol::obj
SCIP_Real obj
Definition: struct_sol.h:75
SCIP_Sol::index
int index
Definition: struct_sol.h:90
SCIPvarMayRoundUp
SCIP_Bool SCIPvarMayRoundUp(SCIP_VAR *var)
Definition: var.c:3452
ABS
#define ABS(x)
Definition: def.h:235
SCIPconsCheck
SCIP_RETCODE SCIPconsCheck(SCIP_CONS *cons, SCIP_SET *set, SCIP_SOL *sol, SCIP_Bool checkintegrality, SCIP_Bool checklprows, SCIP_Bool printreason, SCIP_RESULT *result)
Definition: cons.c:7426
SCIPvarMayRoundDown
SCIP_Bool SCIPvarMayRoundDown(SCIP_VAR *var)
Definition: var.c:3441
SCIPsolGetAbsLPRowViolation
SCIP_Real SCIPsolGetAbsLPRowViolation(SCIP_SOL *sol)
Definition: sol.c:2643
SCIPsetIsFeasNegative
SCIP_Bool SCIPsetIsFeasNegative(SCIP_SET *set, SCIP_Real val)
Definition: set.c:6811
SCIP_SOLORIGIN_LPSOL
Definition: type_sol.h:44
SCIPvarIsActive
SCIP_Bool SCIPvarIsActive(SCIP_VAR *var)
Definition: var.c:17749
SCIPsolFree
SCIP_RETCODE SCIPsolFree(SCIP_SOL **sol, BMS_BLKMEM *blkmem, SCIP_PRIMAL *primal)
Definition: sol.c:801