Scippy

SCIP

Solving Constraint Integer Programs

heur_zirounding.c
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4 /* SCIP --- Solving Constraint Integer Programs */
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24 
25 /**@file heur_zirounding.c
26  * @ingroup DEFPLUGINS_HEUR
27  * @brief zirounding primal heuristic
28  * @author Gregor Hendel
29  */
30 
31 /*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
32 
33 #include "blockmemshell/memory.h"
34 #include "scip/heur_zirounding.h"
35 #include "scip/pub_heur.h"
36 #include "scip/pub_lp.h"
37 #include "scip/pub_message.h"
38 #include "scip/pub_var.h"
39 #include "scip/scip_branch.h"
40 #include "scip/scip_heur.h"
41 #include "scip/scip_lp.h"
42 #include "scip/scip_mem.h"
43 #include "scip/scip_message.h"
44 #include "scip/scip_numerics.h"
45 #include "scip/scip_param.h"
46 #include "scip/scip_sol.h"
47 #include "scip/scip_solvingstats.h"
48 #include <string.h>
49 
50 #define HEUR_NAME "zirounding"
51 #define HEUR_DESC "LP rounding heuristic as suggested by C. Wallace taking row slacks and bounds into account"
52 #define HEUR_DISPCHAR SCIP_HEURDISPCHAR_ROUNDING
53 #define HEUR_PRIORITY -500
54 #define HEUR_FREQ 1
55 #define HEUR_FREQOFS 0
56 #define HEUR_MAXDEPTH -1
57 #define HEUR_TIMING SCIP_HEURTIMING_AFTERLPNODE
58 #define HEUR_USESSUBSCIP FALSE /**< does the heuristic use a secondary SCIP instance? */
59 
60 #define DEFAULT_MAXROUNDINGLOOPS 2 /**< delimits the number of main loops, can be set to -1 for no limit */
61 #define DEFAULT_STOPZIROUND TRUE /**< deactivation check is enabled by default */
62 #define DEFAULT_STOPPERCENTAGE 0.02 /**< the tolerance percentage after which zirounding will not be executed anymore */
63 #define DEFAULT_MINSTOPNCALLS 1000 /**< number of heuristic calls before deactivation check */
64 
65 #define MINSHIFT 1e-4 /**< minimum shift value for every single step */
66 
67 /*
68  * Data structures
69  */
70 
71 /** primal heuristic data */
72 struct SCIP_HeurData
73 {
74  SCIP_SOL* sol; /**< working solution */
75  SCIP_Longint lastlp; /**< the number of the last LP for which ZIRounding was called */
76  int maxroundingloops; /**< limits rounding loops in execution */
77  SCIP_Bool stopziround; /**< sets deactivation check */
78  SCIP_Real stoppercentage; /**< threshold for deactivation check */
79  int minstopncalls; /**< number of heuristic calls before deactivation check */
80 };
81 
83 {
86 };
87 typedef enum Direction DIRECTION;
88 
89 /*
90  * Local methods
91  */
92 
93 /** returns the fractionality of a value x, which is calculated as zivalue(x) = min(x-floor(x), ceil(x)-x) */
94 static
96  SCIP* scip, /**< pointer to current SCIP data structure */
97  SCIP_Real val /**< the value for which the fractionality should be computed */
98  )
99 {
100  SCIP_Real upgap; /* the gap between val and ceil(val) */
101  SCIP_Real downgap; /* the gap between val and floor(val) */
102 
103  assert(scip != NULL);
104 
105  upgap = SCIPfeasCeil(scip, val) - val;
106  downgap = val - SCIPfeasFloor(scip, val);
107 
108  return MIN(upgap, downgap);
109 }
110 
111 /** determines shifting bounds for variable */
112 static
114  SCIP* scip, /**< pointer to current SCIP data structure */
115  SCIP_VAR* var, /**< the variable for which lb and ub have to be calculated */
116  SCIP_Real currentvalue, /**< the current value of var in the working solution */
117  SCIP_Real* upperbound, /**< pointer to store the calculated upper bound on the variable shift */
118  SCIP_Real* lowerbound, /**< pointer to store the calculated lower bound on the variable shift */
119  SCIP_Real* upslacks, /**< array that contains the slacks between row activities and the right hand sides of the rows */
120  SCIP_Real* downslacks, /**< array that contains lhs slacks */
121  int nslacks, /**< current number of slacks */
122  SCIP_Bool* numericalerror /**< flag to determine whether a numerical error occurred */
123  )
124 {
125  SCIP_COL* col;
126  SCIP_ROW** colrows;
127  SCIP_Real* colvals;
128  int ncolvals;
129  int i;
130 
131  assert(scip != NULL);
132  assert(var != NULL);
133  assert(upslacks != NULL);
134  assert(downslacks != NULL);
135  assert(upperbound != NULL);
136  assert(lowerbound != NULL);
137 
138  /* get the column associated to the variable, the nonzero rows and the nonzero coefficients */
139  col = SCIPvarGetCol(var);
140  colrows = SCIPcolGetRows(col);
141  colvals = SCIPcolGetVals(col);
142  ncolvals = SCIPcolGetNLPNonz(col);
143 
144  /* only proceed, when variable has nonzero coefficients */
145  if( ncolvals == 0 )
146  return;
147 
148  assert(colvals != NULL);
149  assert(colrows != NULL);
150 
151  /* initialize the bounds on the shift to be the gap of the current solution value to the bounds of the variable */
152  if( SCIPisInfinity(scip, SCIPvarGetUbGlobal(var)) )
153  *upperbound = SCIPinfinity(scip);
154  else
155  *upperbound = SCIPvarGetUbGlobal(var) - currentvalue;
156 
157  if( SCIPisInfinity(scip, -SCIPvarGetLbGlobal(var)) )
158  *lowerbound = SCIPinfinity(scip);
159  else
160  *lowerbound = currentvalue - SCIPvarGetLbGlobal(var);
161 
162  /* go through every nonzero row coefficient corresponding to var to determine bounds for shifting
163  * in such a way that shifting maintains feasibility in every LP row.
164  * a lower or upper bound as it is calculated in zirounding always has to be >= 0.0.
165  * if one of these values is significantly < 0.0, this will cause the abort of execution of the heuristic so that
166  * infeasible solutions are avoided
167  */
168  for( i = 0; i < ncolvals && MAX(*lowerbound, *upperbound) >= MINSHIFT; ++i )
169  {
170  SCIP_ROW* row;
171  int rowpos;
172 
173  row = colrows[i];
174  rowpos = SCIProwGetLPPos(row);
175 
176  /* the row might currently not be in the LP, ignore it! */
177  if( rowpos == -1 )
178  continue;
179 
180  assert(0 <= rowpos && rowpos < nslacks);
181 
182  /* all bounds and slacks as they are calculated in zirounding always have to be greater equal zero.
183  * It might however be due to numerical issues, e.g. with scaling, that they are not. Better abort in this case.
184  */
185  if( SCIPisFeasLT(scip, *lowerbound, 0.0) || SCIPisFeasLT(scip, *upperbound, 0.0)
186  || SCIPisFeasLT(scip, upslacks[rowpos], 0.0) || SCIPisFeasLT(scip, downslacks[rowpos] , 0.0) )
187  {
188  *numericalerror = TRUE;
189  return;
190  }
191 
192  SCIPdebugMsg(scip, "colval: %15.8g, downslack: %15.8g, upslack: %5.2g, lb: %5.2g, ub: %5.2g\n", colvals[i], downslacks[rowpos], upslacks[rowpos],
193  *lowerbound, *upperbound);
194 
195  /* if coefficient > 0, rounding up might violate up slack and rounding down might violate down slack
196  * thus search for the minimum so that no constraint is violated; vice versa for coefficient < 0
197  */
198  if( colvals[i] > 0 )
199  {
200  if( !SCIPisInfinity(scip, upslacks[rowpos]) )
201  {
202  SCIP_Real upslack;
203  upslack = MAX(upslacks[rowpos], 0.0); /* avoid errors due to numerically slightly infeasible rows */
204  *upperbound = MIN(*upperbound, upslack/colvals[i]);
205  }
206 
207  if( !SCIPisInfinity(scip, downslacks[rowpos]) )
208  {
209  SCIP_Real downslack;
210  downslack = MAX(downslacks[rowpos], 0.0); /* avoid errors due to numerically slightly infeasible rows */
211  *lowerbound = MIN(*lowerbound, downslack/colvals[i]);
212  }
213  }
214  else
215  {
216  assert(colvals[i] != 0.0);
217 
218  if( !SCIPisInfinity(scip, upslacks[rowpos]) )
219  {
220  SCIP_Real upslack;
221  upslack = MAX(upslacks[rowpos], 0.0); /* avoid errors due to numerically slightly infeasible rows */
222  *lowerbound = MIN(*lowerbound, -upslack/colvals[i]);
223  }
224 
225  if( !SCIPisInfinity(scip, downslacks[rowpos]) )
226  {
227  SCIP_Real downslack;
228  downslack = MAX(downslacks[rowpos], 0.0); /* avoid errors due to numerically slightly infeasible rows */
229  *upperbound = MIN(*upperbound, -downslack/colvals[i]);
230  }
231  }
232  }
233 }
234 
235 /** when a variable is shifted, the activities and slacks of all rows it appears in have to be updated */
236 static
238  SCIP* scip, /**< pointer to current SCIP data structure */
239  SCIP_SOL* sol, /**< working solution */
240  SCIP_VAR* var, /**< pointer to variable to be modified */
241  SCIP_Real shiftvalue, /**< the value by which the variable is shifted */
242  SCIP_Real* upslacks, /**< upslacks of all rows the variable appears in */
243  SCIP_Real* downslacks, /**< downslacks of all rows the variable appears in */
244  SCIP_Real* activities, /**< activities of the LP rows */
245  SCIP_VAR** slackvars, /**< the slack variables for equality rows */
246  SCIP_Real* slackcoeffs, /**< the slack variable coefficients */
247  int nslacks /**< size of the arrays */
248  )
249 {
250  SCIP_COL* col; /* the corresponding column of variable var */
251  SCIP_ROW** rows; /* pointer to the nonzero coefficient rows for variable var */
252  int nrows; /* the number of nonzeros */
253  SCIP_Real* colvals; /* array to store the nonzero coefficients */
254  int i;
255 
256  assert(scip != NULL);
257  assert(sol != NULL);
258  assert(var != NULL);
259  assert(upslacks != NULL);
260  assert(downslacks != NULL);
261  assert(activities != NULL);
262  assert(nslacks >= 0);
263 
264  col = SCIPvarGetCol(var);
265  assert(col != NULL);
266 
267  rows = SCIPcolGetRows(col);
268  nrows = SCIPcolGetNLPNonz(col);
269  colvals = SCIPcolGetVals(col);
270  assert(nrows == 0 || (rows != NULL && colvals != NULL));
271 
272  /* go through all rows the shifted variable appears in */
273  for( i = 0; i < nrows; ++i )
274  {
275  int rowpos;
276 
277  rowpos = SCIProwGetLPPos(rows[i]);
278  assert(-1 <= rowpos && rowpos < nslacks);
279 
280  /* if the row is in the LP, update its activity, up and down slack */
281  if( rowpos >= 0 )
282  {
283  SCIP_Real val;
284  SCIP_Real lhs;
285  SCIP_Real rhs;
286  SCIP_ROW* row;
287 
288  val = colvals[i] * shiftvalue;
289  row = rows[i];
290  lhs = SCIProwGetLhs(row);
291  rhs = SCIProwGetRhs(row);
292 
293  /* if the row is an equation, we update its slack variable instead of its activities */
294  if( SCIPisFeasEQ(scip, lhs, rhs) )
295  {
296  SCIP_Real slackvarshiftval;
297  SCIP_Real slackvarsolval;
298 
299  assert(slackvars[rowpos] != NULL);
300  assert(!SCIPisZero(scip, slackcoeffs[rowpos]));
301 
302  slackvarsolval = SCIPgetSolVal(scip, sol, slackvars[rowpos]);
303  slackvarshiftval = -val / slackcoeffs[rowpos];
304 
305  assert(SCIPisFeasGE(scip, slackvarsolval + slackvarshiftval, SCIPvarGetLbGlobal(slackvars[rowpos])));
306  assert(SCIPisFeasLE(scip, slackvarsolval + slackvarshiftval, SCIPvarGetUbGlobal(slackvars[rowpos])));
307 
308  SCIP_CALL( SCIPsetSolVal(scip, sol, slackvars[rowpos], slackvarsolval + slackvarshiftval) );
309  }
310  else if( !SCIPisInfinity(scip, REALABS(activities[rowpos])) )
311  activities[rowpos] += val;
312 
313  /* the slacks of the row now can be updated independently of its type */
314  if( !SCIPisInfinity(scip, upslacks[rowpos]) )
315  upslacks[rowpos] -= val;
316  if( !SCIPisInfinity(scip, -downslacks[rowpos]) )
317  downslacks[rowpos] += val;
318 
319  assert(SCIPisInfinity(scip, -lhs) || SCIPisFeasGE(scip, activities[rowpos], lhs));
320  assert(SCIPisInfinity(scip, rhs) || SCIPisFeasLE(scip, activities[rowpos], rhs));
321  }
322  }
323  return SCIP_OKAY;
324 }
325 
326 /** finds a continuous slack variable for an equation row, NULL if none exists */
327 static
329  SCIP* scip, /**< pointer to current SCIP data structure */
330  SCIP_ROW* row, /**< the row for which a slack variable is searched */
331  SCIP_VAR** varpointer, /**< pointer to store the slack variable */
332  SCIP_Real* coeffpointer /**< pointer to store the coefficient of the slack variable */
333  )
334 {
335  int v;
336  SCIP_COL** rowcols;
337  SCIP_Real* rowvals;
338  int nrowvals;
339 
340  assert(row != NULL);
341  assert(varpointer != NULL);
342  assert(coeffpointer != NULL);
343 
344  rowcols = SCIProwGetCols(row);
345  rowvals = SCIProwGetVals(row);
346  nrowvals = SCIProwGetNNonz(row);
347 
348  assert(nrowvals == 0 || rowvals != NULL);
349  assert(nrowvals == 0 || rowcols != NULL);
350 
351  /* iterate over the row variables. Stop after the first unfixed continuous variable was found. */
352  for( v = nrowvals - 1; v >= 0; --v )
353  {
354  SCIP_VAR* colvar;
355 
356  assert(rowcols[v] != NULL);
357  if( SCIPcolGetLPPos(rowcols[v]) == -1 )
358  continue;
359 
360  colvar = SCIPcolGetVar(rowcols[v]);
361 
363  && !SCIPisFeasEQ(scip, SCIPvarGetLbGlobal(colvar), SCIPvarGetUbGlobal(colvar))
364  && SCIPcolGetNLPNonz(rowcols[v]) == 1 )
365  {
366  SCIPdebugMsg(scip, " slack variable for row %s found: %s\n", SCIProwGetName(row), SCIPvarGetName(colvar));
367 
368  *coeffpointer = rowvals[v];
369  *varpointer = colvar;
370 
371  return;
372  }
373  }
374 
375  *varpointer = NULL;
376  *coeffpointer = 0.0;
377 
378  SCIPdebugMsg(scip, "No slack variable for row %s found. \n", SCIProwGetName(row));
379 }
380 
381 /*
382  * Callback methods of primal heuristic
383  */
384 
385 /** copy method for primal heuristic plugins (called when SCIP copies plugins) */
386 static
387 SCIP_DECL_HEURCOPY(heurCopyZirounding)
388 { /*lint --e{715}*/
389  assert(scip != NULL);
390  assert(heur != NULL);
391  assert(strcmp(SCIPheurGetName(heur), HEUR_NAME) == 0);
392 
393  /* call inclusion method of primal heuristic */
395 
396  return SCIP_OKAY;
397 }
398 
399 /** destructor of primal heuristic to free user data (called when SCIP is exiting) */
400 static
401 SCIP_DECL_HEURFREE(heurFreeZirounding)
402 { /*lint --e{715}*/
403  SCIP_HEURDATA* heurdata;
404 
405  assert(strcmp(SCIPheurGetName(heur), HEUR_NAME) == 0);
406 
407  heurdata = SCIPheurGetData(heur);
408  assert(heurdata != NULL);
409 
410  /* free heuristic data */
411  SCIPfreeBlockMemory(scip, &heurdata);
412  SCIPheurSetData(heur, NULL);
413 
414  return SCIP_OKAY;
415 }
416 
417 /** initialization method of primal heuristic (called after problem was transformed) */
418 static
419 SCIP_DECL_HEURINIT(heurInitZirounding)
420 { /*lint --e{715}*/
421  SCIP_HEURDATA* heurdata;
422 
423  assert(strcmp(SCIPheurGetName(heur), HEUR_NAME) == 0);
424 
425  heurdata = SCIPheurGetData(heur);
426  assert(heurdata != NULL);
427 
428  /* create working solution */
429  SCIP_CALL( SCIPcreateSol(scip, &heurdata->sol, heur) );
430 
431  return SCIP_OKAY;
432 }
433 
434 /** deinitialization method of primal heuristic (called before transformed problem is freed) */
435 static
436 SCIP_DECL_HEUREXIT(heurExitZirounding) /*lint --e{715}*/
437 { /*lint --e{715}*/
438  SCIP_HEURDATA* heurdata;
439 
440  assert(strcmp(SCIPheurGetName(heur), HEUR_NAME) == 0);
441 
442  heurdata = SCIPheurGetData(heur);
443  assert(heurdata != NULL);
444 
445  /* free working solution */
446  SCIP_CALL( SCIPfreeSol(scip, &heurdata->sol) );
447 
448  return SCIP_OKAY;
449 }
450 
451 /** solving process initialization method of primal heuristic (called when branch and bound process is about to begin) */
452 static
453 SCIP_DECL_HEURINITSOL(heurInitsolZirounding)
454 { /*lint --e{715}*/
455  SCIP_HEURDATA* heurdata;
456 
457  assert(strcmp(SCIPheurGetName(heur), HEUR_NAME) == 0);
458 
459  heurdata = SCIPheurGetData(heur);
460  assert(heurdata != NULL);
461 
462  heurdata->lastlp = -1;
463 
464  return SCIP_OKAY;
465 }
466 
467 
468 /** execution method of primal heuristic */
469 static
470 SCIP_DECL_HEUREXEC(heurExecZirounding)
471 { /*lint --e{715}*/
472  SCIP_HEURDATA* heurdata;
473  SCIP_SOL* sol;
474  SCIP_VAR** lpcands;
475  SCIP_VAR** zilpcands;
476 
477  SCIP_VAR** slackvars;
478  SCIP_Real* upslacks;
479  SCIP_Real* downslacks;
480  SCIP_Real* activities;
481  SCIP_Real* slackvarcoeffs;
482  SCIP_Bool* rowneedsslackvar;
483 
484  SCIP_ROW** rows;
485  SCIP_Real* lpcandssol;
486  SCIP_Real* solarray;
487 
488  SCIP_Longint nlps;
489  int currentlpcands;
490  int nlpcands;
491  int nimplfracs;
492  int i;
493  int c;
494  int nslacks;
495  int nroundings;
496 
497  SCIP_Bool improvementfound;
498  SCIP_Bool numericalerror;
499 
500  assert(strcmp(SCIPheurGetName(heur), HEUR_NAME) == 0);
501  assert(result != NULL);
502  assert(SCIPhasCurrentNodeLP(scip));
503 
504  *result = SCIP_DIDNOTRUN;
505 
506  /* do not call heuristic of node was already detected to be infeasible */
507  if( nodeinfeasible )
508  return SCIP_OKAY;
509 
510  /* only call heuristic if an optimal LP-solution is at hand */
512  return SCIP_OKAY;
513 
514  /* only call heuristic, if the LP objective value is smaller than the cutoff bound */
516  return SCIP_OKAY;
517 
518  /* get heuristic data */
519  heurdata = SCIPheurGetData(heur);
520  assert(heurdata != NULL);
521 
522  /* Do not call heuristic if deactivation check is enabled and percentage of found solutions in relation
523  * to number of calls falls below heurdata->stoppercentage */
524  if( heurdata->stopziround && SCIPheurGetNCalls(heur) >= heurdata->minstopncalls
525  && SCIPheurGetNSolsFound(heur)/(SCIP_Real)SCIPheurGetNCalls(heur) < heurdata->stoppercentage )
526  return SCIP_OKAY;
527 
528  /* assure that heuristic has not already been called after the last LP had been solved */
529  nlps = SCIPgetNLPs(scip);
530  if( nlps == heurdata->lastlp )
531  return SCIP_OKAY;
532 
533  heurdata->lastlp = nlps;
534 
535  /* get fractional variables */
536  SCIP_CALL( SCIPgetLPBranchCands(scip, &lpcands, &lpcandssol, NULL, &nlpcands, NULL, &nimplfracs) );
537  nlpcands = nlpcands + nimplfracs;
538  /* make sure that there is at least one fractional variable that should be integral */
539  if( nlpcands == 0 )
540  return SCIP_OKAY;
541 
542  assert(nlpcands > 0);
543  assert(lpcands != NULL);
544  assert(lpcandssol != NULL);
545 
546  /* get LP rows data */
547  rows = SCIPgetLPRows(scip);
548  nslacks = SCIPgetNLPRows(scip);
549 
550  /* cannot do anything if LP is empty */
551  if( nslacks == 0 )
552  return SCIP_OKAY;
553 
554  assert(rows != NULL);
555  assert(nslacks > 0);
556 
557  /* get the working solution from heuristic's local data */
558  sol = heurdata->sol;
559  assert(sol != NULL);
560 
561  *result = SCIP_DIDNOTFIND;
562 
563  solarray = NULL;
564  zilpcands = NULL;
565 
566  /* copy the current LP solution to the working solution and allocate memory for local data */
567  SCIP_CALL( SCIPlinkLPSol(scip, sol) );
568  SCIP_CALL( SCIPallocBufferArray(scip, &solarray, nlpcands) );
569  SCIP_CALL( SCIPallocBufferArray(scip, &zilpcands, nlpcands) );
570 
571  /* copy necessary data to local arrays */
572  BMScopyMemoryArray(solarray, lpcandssol, nlpcands);
573  BMScopyMemoryArray(zilpcands, lpcands, nlpcands);
574 
575  /* allocate buffer data arrays */
576  SCIP_CALL( SCIPallocBufferArray(scip, &slackvars, nslacks) );
577  SCIP_CALL( SCIPallocBufferArray(scip, &upslacks, nslacks) );
578  SCIP_CALL( SCIPallocBufferArray(scip, &downslacks, nslacks) );
579  SCIP_CALL( SCIPallocBufferArray(scip, &slackvarcoeffs, nslacks) );
580  SCIP_CALL( SCIPallocBufferArray(scip, &rowneedsslackvar, nslacks) );
581  SCIP_CALL( SCIPallocBufferArray(scip, &activities, nslacks) );
582 
583  BMSclearMemoryArray(slackvars, nslacks);
584  BMSclearMemoryArray(slackvarcoeffs, nslacks);
585  BMSclearMemoryArray(rowneedsslackvar, nslacks);
586 
587  numericalerror = FALSE;
588  nroundings = 0;
589 
590  /* loop over fractional variables and involved LP rows to find all rows which require a slack variable */
591  for( c = 0; c < nlpcands; ++c )
592  {
593  SCIP_VAR* cand;
594  SCIP_ROW** candrows;
595  int r;
596  int ncandrows;
597 
598  cand = zilpcands[c];
599  assert(cand != NULL);
600  assert(SCIPcolGetLPPos(SCIPvarGetCol(cand)) >= 0);
601 
602  candrows = SCIPcolGetRows(SCIPvarGetCol(cand));
603  ncandrows = SCIPcolGetNLPNonz(SCIPvarGetCol(cand));
604 
605  assert(candrows == NULL || ncandrows > 0);
606 
607  for( r = 0; r < ncandrows; ++r )
608  {
609  int rowpos;
610 
611  assert(candrows != NULL); /* to please flexelint */
612  assert(candrows[r] != NULL);
613  rowpos = SCIProwGetLPPos(candrows[r]);
614 
615  if( rowpos >= 0 && SCIPisFeasEQ(scip, SCIProwGetLhs(candrows[r]), SCIProwGetRhs(candrows[r])) )
616  {
617  rowneedsslackvar[rowpos] = TRUE;
618  SCIPdebugMsg(scip, " Row %s needs slack variable for variable %s\n", SCIProwGetName(candrows[r]), SCIPvarGetName(cand));
619  }
620  }
621  }
622 
623  /* calculate row slacks for every every row that belongs to the current LP and ensure, that the current solution
624  * has no violated constraint -- if any constraint is violated, i.e. a slack is significantly smaller than zero,
625  * this will cause the termination of the heuristic because Zirounding does not provide feasibility recovering
626  */
627  for( i = 0; i < nslacks; ++i )
628  {
629  SCIP_ROW* row;
630  SCIP_Real lhs;
631  SCIP_Real rhs;
632 
633  row = rows[i];
634 
635  assert(row != NULL);
636 
637  lhs = SCIProwGetLhs(row);
638  rhs = SCIProwGetRhs(row);
639 
640  /* get row activity */
641  activities[i] = SCIPgetRowActivity(scip, row);
642  assert(SCIPisFeasLE(scip, lhs, activities[i]) && SCIPisFeasLE(scip, activities[i], rhs));
643 
644  /* in special case if LHS or RHS is (-)infinity slacks have to be initialized as infinity */
645  if( SCIPisInfinity(scip, -lhs) )
646  downslacks[i] = SCIPinfinity(scip);
647  else
648  downslacks[i] = activities[i] - lhs;
649 
650  if( SCIPisInfinity(scip, rhs) )
651  upslacks[i] = SCIPinfinity(scip);
652  else
653  upslacks[i] = rhs - activities[i];
654 
655  SCIPdebugMsg(scip, "lhs:%5.2f <= act:%5.2g <= rhs:%5.2g --> down: %5.2g, up:%5.2g\n", lhs, activities[i], rhs, downslacks[i], upslacks[i]);
656 
657  /* row is an equation. Try to find a slack variable in the row, i.e.,
658  * a continuous variable which occurs only in this row. If no such variable exists,
659  * there is no hope for an IP-feasible solution in this round
660  */
661  if( SCIPisFeasEQ(scip, lhs, rhs) && rowneedsslackvar[i] )
662  {
663  /* @todo: This is only necessary for rows containing fractional variables. */
664  rowFindSlackVar(scip, row, &(slackvars[i]), &(slackvarcoeffs[i]));
665 
666  if( slackvars[i] == NULL )
667  {
668  SCIPdebugMsg(scip, "No slack variable found for equation %s, terminating ZI Round heuristic\n", SCIProwGetName(row));
669  goto TERMINATE;
670  }
671  else
672  {
673  SCIP_Real ubslackvar;
674  SCIP_Real lbslackvar;
675  SCIP_Real solvalslackvar;
676  SCIP_Real coeffslackvar;
677  SCIP_Real ubgap;
678  SCIP_Real lbgap;
679 
680  assert(SCIPvarGetType(slackvars[i]) == SCIP_VARTYPE_CONTINUOUS);
681  solvalslackvar = SCIPgetSolVal(scip, sol, slackvars[i]);
682  ubslackvar = SCIPvarGetUbGlobal(slackvars[i]);
683  lbslackvar = SCIPvarGetLbGlobal(slackvars[i]);
684 
685  coeffslackvar = slackvarcoeffs[i];
686  assert(!SCIPisZero(scip, coeffslackvar));
687 
688  ubgap = MAX(0.0, ubslackvar - solvalslackvar);
689  lbgap = MAX(0.0, solvalslackvar - lbslackvar);
690 
691  if( SCIPisPositive(scip, coeffslackvar) )
692  {
693  if( !SCIPisInfinity(scip, lbslackvar) )
694  upslacks[i] += coeffslackvar * lbgap;
695  else
696  upslacks[i] = SCIPinfinity(scip);
697  if( !SCIPisInfinity(scip, ubslackvar) )
698  downslacks[i] += coeffslackvar * ubgap;
699  else
700  downslacks[i] = SCIPinfinity(scip);
701  }
702  else
703  {
704  if( !SCIPisInfinity(scip, ubslackvar) )
705  upslacks[i] -= coeffslackvar * ubgap;
706  else
707  upslacks[i] = SCIPinfinity(scip);
708  if( !SCIPisInfinity(scip, lbslackvar) )
709  downslacks[i] -= coeffslackvar * lbgap;
710  else
711  downslacks[i] = SCIPinfinity(scip);
712  }
713  SCIPdebugMsg(scip, " Slack variable for row %s at pos %d: %g <= %s = %g <= %g; Coeff %g, upslack = %g, downslack = %g \n",
714  SCIProwGetName(row), SCIProwGetLPPos(row), lbslackvar, SCIPvarGetName(slackvars[i]), solvalslackvar, ubslackvar, coeffslackvar,
715  upslacks[i], downslacks[i]);
716  }
717  }
718  /* due to numerical inaccuracies, the rows might be feasible, even if the slacks are
719  * significantly smaller than zero -> terminate
720  */
721  if( SCIPisFeasLT(scip, upslacks[i], 0.0) || SCIPisFeasLT(scip, downslacks[i], 0.0) )
722  goto TERMINATE;
723  }
724 
725  assert(nslacks == 0 || (upslacks != NULL && downslacks != NULL && activities != NULL));
726 
727  /* initialize number of remaining variables and flag to enter the main loop */
728  currentlpcands = nlpcands;
729  improvementfound = TRUE;
730 
731  /* iterate over variables as long as there are fractional variables left */
732  while( currentlpcands > 0 && improvementfound && (heurdata->maxroundingloops == -1 || nroundings < heurdata->maxroundingloops) )
733  { /*lint --e{850}*/
734  improvementfound = FALSE;
735  nroundings++;
736  SCIPdebugMsg(scip, "zirounding enters while loop for %d time with %d candidates left. \n", nroundings, currentlpcands);
737 
738  /* check for every remaining fractional variable if a shifting decreases ZI-value of the variable */
739  for( c = 0; c < currentlpcands; ++c )
740  {
741  SCIP_VAR* var;
742  SCIP_Real oldsolval;
743  SCIP_Real upperbound;
744  SCIP_Real lowerbound;
745  SCIP_Real up;
746  SCIP_Real down;
747  SCIP_Real ziup;
748  SCIP_Real zidown;
749  SCIP_Real zicurrent;
750  SCIP_Real shiftval;
751 
752  DIRECTION direction;
753 
754  /* get values from local data */
755  oldsolval = solarray[c];
756  var = zilpcands[c];
757 
758  assert(!SCIPisFeasIntegral(scip, oldsolval));
759  assert(SCIPvarGetStatus(var) == SCIP_VARSTATUS_COLUMN);
760 
761  /* calculate bounds for variable and make sure that there are no numerical inconsistencies */
762  upperbound = SCIPinfinity(scip);
763  lowerbound = SCIPinfinity(scip);
764  calculateBounds(scip, var, oldsolval, &upperbound, &lowerbound, upslacks, downslacks, nslacks, &numericalerror);
765 
766  if( numericalerror )
767  goto TERMINATE;
768 
769  /* continue if only marginal shifts are possible */
770  if( MAX(upperbound, lowerbound) < MINSHIFT )
771  {
772  /* stop immediately if a variable has not been rounded during the last round */
773  if( nroundings == heurdata->maxroundingloops )
774  break;
775  else
776  continue;
777  }
778 
779  /* calculate the possible values after shifting */
780  up = oldsolval + upperbound;
781  down = oldsolval - lowerbound;
782 
783  /* if the variable is integer or implicit binary, do not shift further than the nearest integer */
785  {
786  SCIP_Real ceilx;
787  SCIP_Real floorx;
788 
789  ceilx = SCIPfeasCeil(scip, oldsolval);
790  floorx = SCIPfeasFloor(scip, oldsolval);
791  up = MIN(up, ceilx);
792  down = MAX(down, floorx);
793  }
794 
795  /* calculate necessary values */
796  ziup = getZiValue(scip, up);
797  zidown = getZiValue(scip, down);
798  zicurrent = getZiValue(scip, oldsolval);
799 
800  /* calculate the shifting direction that reduces ZI-value the most,
801  * if both directions improve ZI-value equally, take the direction which improves the objective
802  */
803  if( SCIPisFeasLT(scip, zidown, zicurrent) || SCIPisFeasLT(scip, ziup, zicurrent) )
804  {
805  if( SCIPisFeasEQ(scip,ziup, zidown) )
806  direction = SCIPisFeasGE(scip, SCIPvarGetObj(var), 0.0) ? DIRECTION_DOWN : DIRECTION_UP;
807  else if( SCIPisFeasLT(scip, zidown, ziup) )
808  direction = DIRECTION_DOWN;
809  else
810  direction = DIRECTION_UP;
811 
812  /* once a possible shifting direction and value have been found, variable value is updated */
813  shiftval = (direction == DIRECTION_UP ? up - oldsolval : down - oldsolval);
814 
815  /* this improves numerical stability in some cases */
816  if( direction == DIRECTION_UP )
817  shiftval = MIN(shiftval, upperbound);
818  else
819  shiftval = MIN(shiftval, lowerbound);
820  /* update the solution */
821  solarray[c] = direction == DIRECTION_UP ? up : down;
822  SCIP_CALL( SCIPsetSolVal(scip, sol, var, solarray[c]) );
823 
824  /* update the rows activities and slacks */
825  SCIP_CALL( updateSlacks(scip, sol, var, shiftval, upslacks,
826  downslacks, activities, slackvars, slackvarcoeffs, nslacks) );
827 
828  SCIPdebugMsg(scip, "zirounding update step : %d var index, oldsolval=%g, shiftval=%g\n",
829  SCIPvarGetIndex(var), oldsolval, shiftval);
830  /* since at least one improvement has been found, heuristic will enter main loop for another time because the improvement
831  * might affect many LP rows and their current slacks and thus make further rounding steps possible */
832  improvementfound = TRUE;
833  }
834 
835  /* if solution value of variable has become feasibly integral due to rounding step,
836  * variable is put at the end of remaining candidates array so as not to be considered in future loops
837  */
838  if( SCIPisFeasIntegral(scip, solarray[c]) )
839  {
840  zilpcands[c] = zilpcands[currentlpcands - 1];
841  solarray[c] = solarray[currentlpcands - 1];
842  currentlpcands--;
843 
844  /* counter is decreased if end of candidates array has not been reached yet */
845  if( c < currentlpcands )
846  c--;
847  }
848  else if( nroundings == heurdata->maxroundingloops )
849  goto TERMINATE;
850  }
851  }
852 
853  /* in case that no candidate is left for rounding after the final main loop
854  * the found solution has to be checked for feasibility in the original problem
855  */
856  if( currentlpcands == 0 )
857  {
858  SCIP_Bool stored;
859  SCIP_CALL(SCIPtrySol(scip, sol, FALSE, FALSE, FALSE, TRUE, FALSE, &stored));
860  if( stored )
861  {
862 #ifdef SCIP_DEBUG
863  SCIPdebugMsg(scip, "found feasible rounded solution:\n");
864  SCIP_CALL( SCIPprintSol(scip, sol, NULL, FALSE) );
865 #endif
866  SCIPstatisticMessage(" ZI Round solution value: %g \n", SCIPgetSolOrigObj(scip, sol));
867 
868  *result = SCIP_FOUNDSOL;
869  }
870  }
871 
872  /* free memory for all locally allocated data */
873  TERMINATE:
874  SCIPfreeBufferArrayNull(scip, &activities);
875  SCIPfreeBufferArrayNull(scip, &rowneedsslackvar);
876  SCIPfreeBufferArrayNull(scip, &slackvarcoeffs);
877  SCIPfreeBufferArrayNull(scip, &downslacks);
878  SCIPfreeBufferArrayNull(scip, &upslacks);
879  SCIPfreeBufferArrayNull(scip, &slackvars);
880  SCIPfreeBufferArrayNull(scip, &zilpcands);
881  SCIPfreeBufferArrayNull(scip, &solarray);
882 
883  return SCIP_OKAY;
884 }
885 
886 /*
887  * primal heuristic specific interface methods
888  */
889 
890 /** creates the zirounding primal heuristic and includes it in SCIP */
892  SCIP* scip /**< SCIP data structure */
893  )
894 {
895  SCIP_HEURDATA* heurdata;
896  SCIP_HEUR* heur;
897 
898  /* create zirounding primal heuristic data */
899  SCIP_CALL( SCIPallocBlockMemory(scip, &heurdata) );
900 
901  /* include primal heuristic */
902  SCIP_CALL( SCIPincludeHeurBasic(scip, &heur,
904  HEUR_MAXDEPTH, HEUR_TIMING, HEUR_USESSUBSCIP, heurExecZirounding, heurdata) );
905 
906  assert(heur != NULL);
907 
908  /* set non-NULL pointers to callback methods */
909  SCIP_CALL( SCIPsetHeurCopy(scip, heur, heurCopyZirounding) );
910  SCIP_CALL( SCIPsetHeurFree(scip, heur, heurFreeZirounding) );
911  SCIP_CALL( SCIPsetHeurInit(scip, heur, heurInitZirounding) );
912  SCIP_CALL( SCIPsetHeurExit(scip, heur, heurExitZirounding) );
913  SCIP_CALL( SCIPsetHeurInitsol(scip, heur, heurInitsolZirounding) );
914 
915  /* add zirounding primal heuristic parameters */
916  SCIP_CALL( SCIPaddIntParam(scip, "heuristics/zirounding/maxroundingloops",
917  "determines maximum number of rounding loops",
918  &heurdata->maxroundingloops, TRUE, DEFAULT_MAXROUNDINGLOOPS, -1, INT_MAX, NULL, NULL) );
919  SCIP_CALL( SCIPaddBoolParam(scip, "heuristics/zirounding/stopziround",
920  "flag to determine if Zirounding is deactivated after a certain percentage of unsuccessful calls",
921  &heurdata->stopziround, TRUE, DEFAULT_STOPZIROUND, NULL, NULL) );
922  SCIP_CALL( SCIPaddRealParam(scip,"heuristics/zirounding/stoppercentage",
923  "if percentage of found solutions falls below this parameter, Zirounding will be deactivated",
924  &heurdata->stoppercentage, TRUE, DEFAULT_STOPPERCENTAGE, 0.0, 1.0, NULL, NULL) );
925  SCIP_CALL( SCIPaddIntParam(scip, "heuristics/zirounding/minstopncalls",
926  "determines the minimum number of calls before percentage-based deactivation of Zirounding is applied",
927  &heurdata->minstopncalls, TRUE, DEFAULT_MINSTOPNCALLS, 1, INT_MAX, NULL, NULL) );
928 
929  return SCIP_OKAY;
930 }
static void calculateBounds(SCIP *scip, SCIP_VAR *var, SCIP_Real currentvalue, SCIP_Real *upperbound, SCIP_Real *lowerbound, SCIP_Real *upslacks, SCIP_Real *downslacks, int nslacks, SCIP_Bool *numericalerror)
SCIP_RETCODE SCIPgetLPBranchCands(SCIP *scip, SCIP_VAR ***lpcands, SCIP_Real **lpcandssol, SCIP_Real **lpcandsfrac, int *nlpcands, int *npriolpcands, int *nfracimplvars)
Definition: scip_branch.c:395
static SCIP_Real getZiValue(SCIP *scip, SCIP_Real val)
SCIP_ROW ** SCIPgetLPRows(SCIP *scip)
Definition: scip_lp.c:605
SCIP_RETCODE SCIPlinkLPSol(SCIP *scip, SCIP_SOL *sol)
Definition: scip_sol.c:1026
enum Direction DIRECTION
#define HEUR_DESC
SCIP_Bool SCIPisFeasEQ(SCIP *scip, SCIP_Real val1, SCIP_Real val2)
public methods for SCIP parameter handling
SCIP_Bool SCIPisFeasLT(SCIP *scip, SCIP_Real val1, SCIP_Real val2)
public methods for memory management
SCIP_Real SCIPgetCutoffbound(SCIP *scip)
SCIP_Real SCIPvarGetLbGlobal(SCIP_VAR *var)
Definition: var.c:17923
#define HEUR_FREQ
SCIP_Real * SCIPcolGetVals(SCIP_COL *col)
Definition: lp.c:17164
SCIP_RETCODE SCIPsetHeurExit(SCIP *scip, SCIP_HEUR *heur, SCIP_DECL_HEUREXIT((*heurexit)))
Definition: scip_heur.c:210
int SCIProwGetNNonz(SCIP_ROW *row)
Definition: lp.c:17216
SCIP_Bool SCIPisPositive(SCIP *scip, SCIP_Real val)
SCIP_Bool SCIPisGE(SCIP *scip, SCIP_Real val1, SCIP_Real val2)
const char * SCIProwGetName(SCIP_ROW *row)
Definition: lp.c:17354
#define DEFAULT_MAXROUNDINGLOOPS
SCIP_Bool SCIPisFeasGE(SCIP *scip, SCIP_Real val1, SCIP_Real val2)
SCIP_Real SCIProwGetLhs(SCIP_ROW *row)
Definition: lp.c:17295
#define FALSE
Definition: def.h:96
SCIP_Real SCIPinfinity(SCIP *scip)
#define HEUR_NAME
#define TRUE
Definition: def.h:95
enum SCIP_Retcode SCIP_RETCODE
Definition: type_retcode.h:63
#define SCIPstatisticMessage
Definition: pub_message.h:123
struct SCIP_HeurData SCIP_HEURDATA
Definition: type_heur.h:76
public methods for problem variables
#define SCIPfreeBlockMemory(scip, ptr)
Definition: scip_mem.h:108
SCIP_RETCODE SCIPincludeHeurBasic(SCIP *scip, SCIP_HEUR **heur, const char *name, const char *desc, char dispchar, int priority, int freq, int freqofs, int maxdepth, SCIP_HEURTIMING timingmask, SCIP_Bool usessubscip, SCIP_DECL_HEUREXEC((*heurexec)), SCIP_HEURDATA *heurdata)
Definition: scip_heur.c:117
SCIP_RETCODE SCIPincludeHeurZirounding(SCIP *scip)
#define HEUR_FREQOFS
void SCIPheurSetData(SCIP_HEUR *heur, SCIP_HEURDATA *heurdata)
Definition: heur.c:1371
#define SCIPallocBlockMemory(scip, ptr)
Definition: scip_mem.h:89
#define HEUR_DISPCHAR
#define SCIPdebugMsg
Definition: scip_message.h:78
SCIP_RETCODE SCIPaddIntParam(SCIP *scip, const char *name, const char *desc, int *valueptr, SCIP_Bool isadvanced, int defaultvalue, int minvalue, int maxvalue, SCIP_DECL_PARAMCHGD((*paramchgd)), SCIP_PARAMDATA *paramdata)
Definition: scip_param.c:83
SCIP_Real SCIPfeasCeil(SCIP *scip, SCIP_Real val)
public methods for numerical tolerances
Direction
Definition: heur_twoopt.c:137
SCIP_Real SCIPfeasFloor(SCIP *scip, SCIP_Real val)
public methods for querying solving statistics
SCIP_Real SCIPvarGetUbGlobal(SCIP_VAR *var)
Definition: var.c:17933
SCIP_RETCODE SCIPsetHeurInitsol(SCIP *scip, SCIP_HEUR *heur, SCIP_DECL_HEURINITSOL((*heurinitsol)))
Definition: scip_heur.c:226
static SCIP_DECL_HEUREXIT(heurExitZirounding)
#define DEFAULT_STOPZIROUND
const char * SCIPheurGetName(SCIP_HEUR *heur)
Definition: heur.c:1450
SCIP_RETCODE SCIPsetHeurFree(SCIP *scip, SCIP_HEUR *heur, SCIP_DECL_HEURFREE((*heurfree)))
Definition: scip_heur.c:178
SCIP_ROW ** SCIPcolGetRows(SCIP_COL *col)
Definition: lp.c:17154
#define SCIPfreeBufferArrayNull(scip, ptr)
Definition: scip_mem.h:137
const char * SCIPvarGetName(SCIP_VAR *var)
Definition: var.c:17264
static SCIP_DECL_HEURCOPY(heurCopyZirounding)
#define NULL
Definition: lpi_spx1.cpp:164
#define REALABS(x)
Definition: def.h:210
int SCIPgetNLPRows(SCIP *scip)
Definition: scip_lp.c:626
#define SCIP_CALL(x)
Definition: def.h:394
SCIP_Bool SCIPisFeasLE(SCIP *scip, SCIP_Real val1, SCIP_Real val2)
SCIP_Real SCIProwGetRhs(SCIP_ROW *row)
Definition: lp.c:17305
SCIP_Longint SCIPheurGetNCalls(SCIP_HEUR *heur)
Definition: heur.c:1576
SCIP_COL ** SCIProwGetCols(SCIP_ROW *row)
Definition: lp.c:17241
SCIP_Bool SCIPhasCurrentNodeLP(SCIP *scip)
Definition: scip_lp.c:83
public methods for primal heuristic plugins and divesets
#define HEUR_TIMING
#define DEFAULT_MINSTOPNCALLS
#define SCIPallocBufferArray(scip, ptr, num)
Definition: scip_mem.h:124
SCIP_RETCODE SCIPsetSolVal(SCIP *scip, SCIP_SOL *sol, SCIP_VAR *var, SCIP_Real val)
Definition: scip_sol.c:1221
SCIP_Real * SCIProwGetVals(SCIP_ROW *row)
Definition: lp.c:17251
#define SCIP_Bool
Definition: def.h:93
SCIP_LPSOLSTAT SCIPgetLPSolstat(SCIP *scip)
Definition: scip_lp.c:168
#define HEUR_USESSUBSCIP
#define MAX(x, y)
Definition: tclique_def.h:92
public methods for LP management
SCIP_RETCODE SCIPfreeSol(SCIP *scip, SCIP_SOL **sol)
Definition: scip_sol.c:985
SCIP_Real SCIPvarGetObj(SCIP_VAR *var)
Definition: var.c:17771
enum Direction DIRECTION
Definition: heur_twoopt.c:143
#define BMScopyMemoryArray(ptr, source, num)
Definition: memory.h:136
SCIP_COL * SCIPvarGetCol(SCIP_VAR *var)
Definition: var.c:17634
SCIP_Real SCIPgetSolOrigObj(SCIP *scip, SCIP_SOL *sol)
Definition: scip_sol.c:1444
SCIP_Bool SCIPisInfinity(SCIP *scip, SCIP_Real val)
SCIP_RETCODE SCIPtrySol(SCIP *scip, SCIP_SOL *sol, SCIP_Bool printreason, SCIP_Bool completely, SCIP_Bool checkbounds, SCIP_Bool checkintegrality, SCIP_Bool checklprows, SCIP_Bool *stored)
Definition: scip_sol.c:3135
ZI Round primal heuristic.
public methods for the LP relaxation, rows and columns
SCIP_Real * r
Definition: circlepacking.c:59
public methods for branching rule plugins and branching
#define DEFAULT_STOPPERCENTAGE
SCIP_Real SCIPgetLPObjval(SCIP *scip)
Definition: scip_lp.c:247
static SCIP_DECL_HEUREXEC(heurExecZirounding)
static SCIP_DECL_HEURINITSOL(heurInitsolZirounding)
SCIP_VAR * SCIPcolGetVar(SCIP_COL *col)
Definition: lp.c:17045
public methods for solutions
static SCIP_RETCODE updateSlacks(SCIP *scip, SCIP_SOL *sol, SCIP_VAR *var, SCIP_Real shiftvalue, SCIP_Real *upslacks, SCIP_Real *downslacks, SCIP_Real *activities, SCIP_VAR **slackvars, SCIP_Real *slackcoeffs, int nslacks)
public methods for message output
SCIP_RETCODE SCIPsetHeurInit(SCIP *scip, SCIP_HEUR *heur, SCIP_DECL_HEURINIT((*heurinit)))
Definition: scip_heur.c:194
SCIP_VARSTATUS SCIPvarGetStatus(SCIP_VAR *var)
Definition: var.c:17383
int SCIProwGetLPPos(SCIP_ROW *row)
Definition: lp.c:17504
#define SCIP_Real
Definition: def.h:186
static SCIP_DECL_HEURFREE(heurFreeZirounding)
#define MINSHIFT
public methods for message handling
#define SCIP_Longint
Definition: def.h:171
SCIP_Longint SCIPheurGetNSolsFound(SCIP_HEUR *heur)
Definition: heur.c:1586
#define HEUR_PRIORITY
int SCIPvarGetIndex(SCIP_VAR *var)
Definition: var.c:17603
SCIP_VARTYPE SCIPvarGetType(SCIP_VAR *var)
Definition: var.c:17429
SCIP_Bool SCIPisZero(SCIP *scip, SCIP_Real val)
static void rowFindSlackVar(SCIP *scip, SCIP_ROW *row, SCIP_VAR **varpointer, SCIP_Real *coeffpointer)
SCIP_RETCODE SCIPsetHeurCopy(SCIP *scip, SCIP_HEUR *heur, SCIP_DECL_HEURCOPY((*heurcopy)))
Definition: scip_heur.c:162
SCIP_Bool SCIPisFeasIntegral(SCIP *scip, SCIP_Real val)
static SCIP_DECL_HEURINIT(heurInitZirounding)
#define BMSclearMemoryArray(ptr, num)
Definition: memory.h:132
public methods for primal heuristics
SCIP_HEURDATA * SCIPheurGetData(SCIP_HEUR *heur)
Definition: heur.c:1361
SCIP_Longint SCIPgetNLPs(SCIP *scip)
#define HEUR_MAXDEPTH
int SCIPcolGetNLPNonz(SCIP_COL *col)
Definition: lp.c:17143
int SCIPcolGetLPPos(SCIP_COL *col)
Definition: lp.c:17096
SCIP_Real SCIPgetSolVal(SCIP *scip, SCIP_SOL *sol, SCIP_VAR *var)
Definition: scip_sol.c:1361
SCIP_RETCODE SCIPaddRealParam(SCIP *scip, const char *name, const char *desc, SCIP_Real *valueptr, SCIP_Bool isadvanced, SCIP_Real defaultvalue, SCIP_Real minvalue, SCIP_Real maxvalue, SCIP_DECL_PARAMCHGD((*paramchgd)), SCIP_PARAMDATA *paramdata)
Definition: scip_param.c:139
SCIP_RETCODE SCIPaddBoolParam(SCIP *scip, const char *name, const char *desc, SCIP_Bool *valueptr, SCIP_Bool isadvanced, SCIP_Bool defaultvalue, SCIP_DECL_PARAMCHGD((*paramchgd)), SCIP_PARAMDATA *paramdata)
Definition: scip_param.c:57
SCIP_Real SCIPgetRowActivity(SCIP *scip, SCIP_ROW *row)
Definition: scip_lp.c:2101
SCIP_RETCODE SCIPcreateSol(SCIP *scip, SCIP_SOL **sol, SCIP_HEUR *heur)
Definition: scip_sol.c:328
memory allocation routines
SCIP_RETCODE SCIPprintSol(SCIP *scip, SCIP_SOL *sol, FILE *file, SCIP_Bool printzeros)
Definition: scip_sol.c:1775