scip_prob.c
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43 /*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
97 /** creates empty problem and initializes all solving data structures (the objective sense is set to MINIMIZE)
98 * If the problem type requires the use of variable pricers, these pricers should be added to the problem with calls
99 * to SCIPactivatePricer(). These pricers are automatically deactivated, when the problem is freed.
101 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
121 SCIP_DECL_PROBTRANS ((*probtrans)), /**< creates user data of transformed problem by transforming original user data */
123 SCIP_DECL_PROBINITSOL ((*probinitsol)), /**< solving process initialization method of transformed data */
124 SCIP_DECL_PROBEXITSOL ((*probexitsol)), /**< solving process deinitialization method of transformed data */
125 SCIP_DECL_PROBCOPY ((*probcopy)), /**< copies user data if you want to copy it to a subscip, or NULL */
129 SCIP_CALL( SCIPcheckStage(scip, "SCIPcreateProb", TRUE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, TRUE) );
138 SCIP_CALL( SCIPstatCreate(&scip->stat, scip->mem->probmem, scip->set, NULL, NULL, scip->messagehdlr) );
152 SCIP_CALL( SCIPdecompstoreCreate(&scip->decompstore, SCIPblkmem(scip), SCIP_DECOMPSTORE_CAPA) );
157 /** creates empty problem and initializes all solving data structures (the objective sense is set to MINIMIZE)
158 * all callback methods will be set to NULL and can be set afterwards, if needed, via SCIPsetProbDelorig(),
161 * If the problem type requires the use of variable pricers, these pricers should be added to the problem with calls
162 * to SCIPactivatePricer(). These pricers are automatically deactivated, when the problem is freed.
164 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
185 SCIP_CALL( SCIPcheckStage(scip, "SCIPcreateProbBasic", TRUE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, TRUE) );
194 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
206 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetProbDelorig", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
215 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
223 SCIP_DECL_PROBTRANS ((*probtrans)) /**< creates user data of transformed problem by transforming original user data */
227 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetProbTrans", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
236 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
248 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetProbDeltrans", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
257 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
265 SCIP_DECL_PROBINITSOL ((*probinitsol)) /**< solving process initialization method of transformed data */
270 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetProbInitsol", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
279 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
287 SCIP_DECL_PROBEXITSOL ((*probexitsol)) /**< solving process deinitialization method of transformed data */
291 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetProbExitsol", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
300 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
308 SCIP_DECL_PROBCOPY ((*probcopy)) /**< copies user data if you want to copy it to a subscip, or NULL */
312 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetProbCopy", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
321 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
357 SCIP_CALL( SCIPcheckStage(scip, "SCIPreadProb", TRUE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
364 SCIPerrorMessage("Cannot read problem if vartable or constable is disabled. Make sure parameters 'misc/usevartable' and 'misc/useconstable' are set to TRUE.\n");
417 /* loop over all constraints and constraint-handlers to count for each type the amount of original
458 SCIP_CALL( SCIPpermuteProb(scip, (unsigned int)permutationseed, permuteconss, permutevars, permutevars, permutevars, permutevars) );
537 SCIPmessagePrintWarning(scip->messagehdlr, "currently it is not possible to write files with any compression\n");
545 SCIPmessagePrintWarning(scip->messagehdlr, "filename <%s> has no file extension, select default <cip> format for writing\n", filename);
549 retcode = SCIPprintTransProblem(scip, file, extension != NULL ? extension : fileextension, genericnames);
551 retcode = SCIPprintOrigProblem(scip, file, extension != NULL ? extension : fileextension, genericnames);
584 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
611 SCIP_CALL( SCIPcheckStage(scip, "SCIPwriteOrigProblem", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
619 if( retcode == SCIP_FILECREATEERROR || retcode == SCIP_WRITEERROR || retcode == SCIP_PLUGINNOTFOUND )
631 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
645 * @note If you want the write all constraints (including the once which are redundant for example), you need to set
658 SCIP_CALL( SCIPcheckStage(scip, "SCIPwriteTransProblem", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
666 if( retcode == SCIP_FILECREATEERROR || retcode == SCIP_WRITEERROR || retcode == SCIP_PLUGINNOTFOUND )
678 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
700 SCIP_CALL( SCIPcheckStage(scip, "SCIPfreeProb", TRUE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, TRUE) );
702 /* if we free the problem, we do not have to transfer transformed solutions to the original space, so temporarily disable it */
745 /* free original primal solution candidate pool, original problem and problem statistics data structures */
751 SCIP_CALL( SCIPconflictstoreFree(&scip->conflictstore, scip->mem->probmem, scip->set, scip->stat, scip->reopt) );
753 SCIP_CALL( SCIPprobFree(&scip->origprob, scip->messagehdlr, scip->mem->probmem, scip->set, scip->stat, scip->eventqueue, scip->lp) );
772 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
784 SCIP_Bool permuteconss, /**< should the list of constraints in each constraint handler be permuted? */
803 SCIP_CALL( SCIPcheckStage(scip, "SCIPpermuteProb", FALSE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
817 /* The constraint handler should not be permuted since they are called w.r.t. to certain properties; besides
818 * that the "conshdlrs" array should stay in the order as it is since this array is used to copy the plugins for
819 * sub-SCIPs and contains the dependencies between the constraint handlers; for example the linear constraint
820 * handler stays in front of all constraint handler which can upgrade a linear constraint (such as logicor,
898 SCIPrandomPermuteArray(randnumgen, (void**)vars, nbinvars+nintvars, nbinvars+nintvars+nimplvars);
968 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetProbData", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
997 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1019 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetProbData", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
1071 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetProbName", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
1078 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1100 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetProbName", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
1107 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1114 * @note This method should be only used to change the objective function during two reoptimization runs and is only
1117 * @note All variables not given in \p vars array are assumed to have an objective coefficient of zero.
1131 SCIP_CALL( SCIPcheckStage(scip, "SCIPchgReoptObjective", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
1144 SCIPdebugMsg(scip, "%s%g <%s> ", SCIPisPositive(scip, coefs[i]) ? "+" : "", coefs[i], SCIPvarGetName(vars[i]));
1149 /* Set all coefficients of original variables to 0, since we will add the new objective coefficients later. */
1157 /* In order to avoid numerical troubles, also explicitly set all transformed objective coefficients to 0. */
1189 /* Add coefficients because this gets transferred to the transformed problem (the coefficients were set to 0 above). */
1199 SCIPdebugMsg(scip, "%s%g <%s> ", SCIPisPositive(scip, objval) ? "+" : "", objval, SCIPvarGetName(origvars[i]));
1229 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetObjsense", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
1236 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1247 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetObjsense", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
1262 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1273 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddObjoffset", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
1276 SCIP_CALL( SCIPprimalUpdateObjoffset(scip->primal, SCIPblkmem(scip), scip->set, scip->stat, scip->eventfilter,
1282 /** adds offset of objective function to original problem and to all existing solution in original space
1284 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1295 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddOrigObjoffset", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
1323 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetOrigObjoffset", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1348 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetOrigObjscale", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1371 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetTransObjoffset", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1394 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetTransObjscale", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1399 /** sets limit on objective function, such that only solutions better than this limit are accepted
1401 * @note SCIP will only look for solutions with a strictly better objective value, thus, e.g., prune
1403 * However, SCIP will also collect solutions with objective value worse than the objective limit and
1405 * @note If SCIP can prove that there exists no solution with a strictly better objective value, the solving status
1407 * The only exception is that by chance, SCIP found a solution with the same objective value and thus
1410 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1429 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetObjlimit", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1439 if( SCIPtransformObj(scip, objlimit) > SCIPprobInternObjval(scip->transprob, scip->origprob, scip->set, oldobjlimit) && ! scip->set->reopt_enable)
1441 SCIPerrorMessage("cannot relax objective limit from %.15g to %.15g in presolved stage.\n", oldobjlimit, objlimit);
1446 SCIP_CALL( SCIPprimalUpdateObjlimit(scip->primal, scip->mem->probmem, scip->set, scip->stat, scip->eventfilter,
1457 if( SCIPtransformObj(scip, objlimit) > SCIPprobInternObjval(scip->transprob, scip->origprob, scip->set, oldobjlimit) )
1459 SCIPerrorMessage("cannot relax objective limit from %.15g to %.15g after problem was transformed.\n", oldobjlimit, objlimit);
1464 SCIP_CALL( SCIPprimalUpdateObjlimit(scip->primal, scip->mem->probmem, scip->set, scip->stat, scip->eventfilter,
1496 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetObjlimit", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1503 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1513 * @note This function should be used to inform SCIP that the objective function is integral, helping to improve the
1514 * performance. This is useful when using column generation. If no column generation (pricing) is used, SCIP
1515 * automatically detects whether the objective function is integral or can be scaled to be integral. However, in
1516 * any case, the user has to make sure that no variable is added during the solving process that destroys this
1523 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetObjIntegral", FALSE, TRUE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1557 * @note If no pricing is performed, SCIP automatically detects whether the objective function is integral or can be
1558 * scaled to be integral, helping to improve performance. This function returns the result. Otherwise
1559 * SCIPsetObjIntegral() can be used to inform SCIP. However, in any case, the user has to make sure that no
1568 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPisObjIntegral", FALSE, TRUE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1573 /* if the user explicitly added the information that there is an integral objective, return TRUE */
1577 /* if there exist unknown variables, we cannot conclude that the objective value is always integral */
1596 /* if variable's objective value is fractional, the problem's objective value may also be fractional */
1600 /* if variable with non-zero objective value is continuous, the problem's objective value may be fractional */
1626 /** returns the Euclidean norm of the objective function vector (available only for transformed problem)
1645 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetObjNorm", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1656 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1673 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddVar", FALSE, TRUE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1695 SCIP_CALL( SCIPprobAddVar(scip->origprob, scip->mem->probmem, scip->set, scip->lp, scip->branchcand,
1711 else if( SCIPvarGetStatus(var) != SCIP_VARSTATUS_LOOSE && SCIPvarGetStatus(var) != SCIP_VARSTATUS_COLUMN )
1728 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1739 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddPricedVar", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1758 else if( SCIPvarGetStatus(var) != SCIP_VARSTATUS_LOOSE && SCIPvarGetStatus(var) != SCIP_VARSTATUS_COLUMN )
1768 SCIP_CALL( SCIPpricestoreAddVar(scip->pricestore, scip->mem->probmem, scip->set, scip->eventqueue, scip->lp, var, score,
1776 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1786 * @warning The variable is not deleted from the constraints when in SCIP_STAGE_PROBLEM. In this stage, it is the
1787 * user's responsibility to ensure the variable has been removed from all constraints or the constraints
1793 SCIP_Bool* deleted /**< pointer to store whether marking variable to be deleted was successful */
1800 SCIP_CALL( SCIPcheckStage(scip, "SCIPdelVar", FALSE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE) );
1810 SCIP_CALL( SCIPprobDelVar(scip->origprob, scip->mem->probmem, scip->set, scip->eventqueue, var, deleted) );
1813 SCIP_CALL( SCIPprobPerformVarDeletions(scip->origprob, scip->mem->probmem, scip->set, scip->stat, scip->eventqueue, scip->cliquetable, scip->lp, scip->branchcand) );
1826 else if( SCIPvarGetStatus(var) != SCIP_VARSTATUS_LOOSE && SCIPvarGetStatus(var) != SCIP_VARSTATUS_COLUMN )
1832 SCIP_CALL( SCIPprobDelVar(scip->transprob, scip->mem->probmem, scip->set, scip->eventqueue, var, deleted) );
1836 /* in FREETRANS stage, we don't need to remove the variable, because the transformed problem is freed anyways */
1846 /** gets variables of the problem along with the numbers of different variable types; data may become invalid after
1849 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1864 * @note Variables in the vars array are ordered: binaries first, then integers, implicit integers and continuous last.
1872 int* nimplvars, /**< pointer to store number of implicit integral vars or NULL if not needed */
1876 SCIP_CALL( SCIPcheckStage(scip, "SCIPgetVarsData", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1940 * @note Variables in the array are ordered: binaries first, then integers, implicit integers and continuous last.
1942 * @warning If your are using the methods which add or change bound of variables (e.g., SCIPchgVarType(), SCIPfixVar(),
1943 * SCIPaggregateVars(), and SCIPmultiaggregateVar()), it can happen that the internal variable array (which is
1944 * accessed via this method) gets resized and/or resorted. This can invalid the data pointer which is returned
1951 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1996 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
2041 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNBinVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
2086 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNIntVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
2131 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNImplVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
2176 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNContVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
2204 * @note In case of the original problem the number of variables is counted. In case of the transformed problem the
2224 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNObjVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2270 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetFixedVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2313 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNFixedVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2337 /** gets variables of the original problem along with the numbers of different variable types; data may become invalid
2340 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
2363 int* nimplvars, /**< pointer to store number of implicit integral vars or NULL if not needed */
2367 SCIP_CALL( SCIPcheckStage(scip, "SCIPgetOrigVarsData", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2409 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetOrigVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2436 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNOrigVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2463 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNOrigBinVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2490 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNOrigIntVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2517 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNOrigImplVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2544 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNOrigContVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2573 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNTotalVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2601 /** gets variables of the original or transformed problem along with the numbers of different variable types;
2603 * data may become invalid after calls to SCIPchgVarType(), SCIPfixVar(), SCIPaggregateVars(), and
2606 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
2622 SCIP_SOL* sol, /**< primal solution that selects the problem space, NULL for current solution */
2627 int* nimplvars, /**< pointer to store number of implicit integral vars or NULL if not needed */
2631 SCIP_CALL( SCIPcheckStage(scip, "SCIPgetSolVarsData", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2694 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPfindVar", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2725 /** returns TRUE iff all potential variables exist in the problem, and FALSE, if there may be additional variables,
2747 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPallVarsInProb", FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2752 /** adds constraint to the problem; if constraint is only valid locally, it is added to the local subproblem of the
2754 * if a local constraint is added at the root node, it is automatically upgraded into a global constraint
2756 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
2777 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddCons", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE) );
2813 SCIP_CALL( SCIPnodeAddCons(SCIPtreeGetCurrentNode(scip->tree), scip->mem->probmem, scip->set, scip->stat,
2828 /** globally removes constraint from all subproblems; removes constraint from the constraint set change data of the
2831 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
2850 SCIP_CALL( SCIPcheckStage(scip, "SCIPdelCons", FALSE, TRUE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE) );
2856 SCIP_CALL( SCIPconsDelete(cons, scip->mem->probmem, scip->set, scip->stat, scip->origprob, scip->reopt) );
2859 /* only added constraints can be removed in (de-)initialization process of presolving, otherwise the reduction
2871 SCIP_CALL( SCIPconsDelete(cons, scip->mem->probmem, scip->set, scip->stat, scip->transprob, scip->reopt) );
2905 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPfindOrigCons", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2956 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPfindCons", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
3004 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNUpgrConss", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3046 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNConss", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3085 * @warning If your are using the method SCIPaddCons(), it can happen that the internal constraint array (which is
3086 * accessed via this method) gets resized. This can invalid the pointer which is returned by this method.
3092 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetConss", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3138 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNOrigConss", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
3165 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetOrigConss", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
3170 /** computes the number of check constraint in the current node (loop over all constraint handler and cumulates the
3193 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNCheckConss", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3201 /* loop over all constraint handler and collect the number of constraints which need to be checked */
3217 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3244 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddConflict", FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3265 SCIP_CALL( SCIPconflictstoreAddConflict(scip->conflictstore, scip->mem->probmem, scip->set, scip->stat, scip->tree,
3277 /** tries to remove conflicts depending on an old cutoff bound if the improvement of the new incumbent is good enough
3279 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3296 SCIP_CALL( SCIPcheckStage(scip, "SCIPclearConflictStore", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3298 SCIP_CALL( SCIPconflictstoreCleanNewIncumbent(scip->conflictstore, scip->set, scip->stat, scip->mem->probmem,
3304 /** adds constraint to the given node (and all of its subnodes), even if it is a global constraint;
3305 * It is sometimes desirable to add the constraint to a more local node (i.e., a node of larger depth) even if
3306 * the constraint is also valid higher in the tree, for example, if one wants to produce a constraint which is
3308 * In this case, one should pass the more global node where the constraint is valid as "validnode".
3309 * Note that the same constraint cannot be added twice to the branching tree with different "validnode" parameters.
3310 * If the constraint is valid at the same node as it is inserted (the usual case), one should pass NULL as "validnode".
3311 * If the "validnode" is the root node, it is automatically upgraded into a global constraint, but still only added to
3312 * the given node. If a local constraint is added to the root node, it is added to the global problem instead.
3314 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3333 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddConsNode", FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3348 SCIPerrorMessage("constraint <%s> is already marked to be valid in depth %d - cannot mark it to be valid in depth %d\n",
3365 SCIP_CALL( SCIPnodeAddCons(node, scip->mem->probmem, scip->set, scip->stat, scip->tree, cons) );
3371 /** adds constraint locally to the current node (and all of its subnodes), even if it is a global constraint;
3372 * It is sometimes desirable to add the constraint to a more local node (i.e., a node of larger depth) even if
3373 * the constraint is also valid higher in the tree, for example, if one wants to produce a constraint which is
3376 * If the constraint is valid at the same node as it is inserted (the usual case), one should pass NULL as "validnode".
3377 * If the "validnode" is the root node, it is automatically upgraded into a global constraint, but still only added to
3378 * the given node. If a local constraint is added to the root node, it is added to the global problem instead.
3380 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3389 * @note The same constraint cannot be added twice to the branching tree with different "validnode" parameters. This is
3390 * the case due to internal data structures and performance issues. In such a case you should try to realize your
3391 * issue using the method SCIPdisableCons() and SCIPenableCons() and control these via the event system of SCIP.
3401 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddConsLocal", FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3408 /** disables constraint's separation, enforcing, and propagation capabilities at the given node (and all subnodes);
3409 * if the method is called at the root node, the constraint is globally deleted from the problem;
3410 * the constraint deletion is being remembered at the given node, s.t. after leaving the node's subtree, the constraint
3411 * is automatically enabled again, and after entering the node's subtree, it is automatically disabled;
3412 * this may improve performance because redundant checks on this constraint are avoided, but it consumes memory;
3415 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3432 SCIP_CALL( SCIPcheckStage(scip, "SCIPdelConsNode", FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3434 /* only added constraints can be removed in (de-)initialization process of presolving, otherwise the reduction
3437 if( scip->set->stage == SCIP_STAGE_INITPRESOLVE || scip->set->stage == SCIP_STAGE_EXITPRESOLVE )
3442 SCIP_CALL( SCIPconsDelete(cons, scip->mem->probmem, scip->set, scip->stat, scip->transprob, scip->reopt) );
3446 SCIP_CALL( SCIPnodeDelCons(node, scip->mem->probmem, scip->set, scip->stat, scip->tree, cons) );
3452 /** disables constraint's separation, enforcing, and propagation capabilities at the current node (and all subnodes);
3453 * if the method is called during problem modification or at the root node, the constraint is globally deleted from
3455 * the constraint deletion is being remembered at the current node, s.t. after leaving the current subtree, the
3456 * constraint is automatically enabled again, and after reentering the current node's subtree, it is automatically
3458 * this may improve performance because redundant checks on this constraint are avoided, but it consumes memory;
3461 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3483 SCIP_CALL( SCIPcheckStage(scip, "SCIPdelConsLocal", FALSE, TRUE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3489 SCIP_CALL( SCIPconsDelete(cons, scip->mem->probmem, scip->set, scip->stat, scip->origprob, scip->reopt) );
3492 /* only added constraints can be removed in (de-)initialization process of presolving, otherwise the reduction
3506 SCIP_CALL( SCIPconsDelete(cons, scip->mem->probmem, scip->set, scip->stat, scip->transprob, scip->reopt) );
3510 SCIP_CALL( SCIPnodeDelCons(node, scip->mem->probmem, scip->set, scip->stat, scip->tree, cons) );
3522 * @return estimate of best primal solution w.r.t. original problem contained in current subtree
3533 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetLocalOrigEstimate", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3536 return node != NULL ? SCIPprobExternObjval(scip->transprob, scip->origprob, scip->set, SCIPnodeGetEstimate(node)) : SCIP_INVALID;
3539 /** gets estimate of best primal solution w.r.t. transformed problem contained in current subtree
3541 * @return estimate of best primal solution w.r.t. transformed problem contained in current subtree
3552 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetLocalTransEstimate", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3572 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetLocalDualbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3575 return node != NULL ? SCIPprobExternObjval(scip->transprob, scip->origprob, scip->set, SCIPnodeGetLowerbound(node)) : SCIP_INVALID;
3591 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetLocalLowerbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3610 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNodeDualbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3612 return SCIPprobExternObjval(scip->transprob, scip->origprob, scip->set, SCIPnodeGetLowerbound(node));
3627 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNodeLowerbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3632 /** if given value is tighter (larger for minimization, smaller for maximization) than the current node's dual bound (in
3635 * @note the given new bound has to be a dual bound, i.e., it has to be valid for the original problem.
3637 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3651 SCIP_CALL( SCIPcheckStage(scip, "SCIPupdateLocalDualbound", FALSE, TRUE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3656 /* since no root node, for which we could update the dual bound, has been create yet, update the dual bound stored in
3664 /* since no root node, for which we could update the dual bound, has been create yet, update the dual bound stored in
3667 SCIPprobUpdateDualbound(scip->transprob, SCIPprobExternObjval(scip->transprob, scip->origprob, scip->set, newbound));
3671 SCIP_CALL( SCIPupdateNodeLowerbound(scip, SCIPtreeGetCurrentNode(scip->tree), SCIPprobInternObjval(scip->transprob, scip->origprob, scip->set, newbound)) );
3683 /** if given value is larger than the current node's lower bound (in transformed problem), sets the current node's
3686 * @note the given new bound has to be a lower bound, i.e., it has to be valid for the transformed problem.
3688 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3701 SCIP_CALL( SCIPcheckStage(scip, "SCIPupdateLocalLowerbound", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3707 /* since no root node, for which we could update the lower bound, has been created yet, update the dual bound stored
3710 SCIPprobUpdateDualbound(scip->transprob, SCIPprobExternObjval(scip->transprob, scip->origprob, scip->set, newbound));
3726 /** if given value is tighter (larger for minimization, smaller for maximization) than the node's dual bound,
3729 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3741 SCIP_CALL( SCIPcheckStage(scip, "SCIPupdateNodeDualbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3743 SCIP_CALL( SCIPupdateNodeLowerbound(scip, node, SCIPprobInternObjval(scip->transprob, scip->origprob, scip->set, newbound)) );
3748 /** if given value is larger than the node's lower bound (in transformed problem), sets the node's lower bound
3751 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3763 SCIP_CALL( SCIPcheckStage(scip, "SCIPupdateNodeLowerbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3765 SCIPnodeUpdateLowerbound(node, scip->stat, scip->set, scip->tree, scip->transprob, scip->origprob, newbound);
3769 * If the node is an inner node (,not a child node,) we need to cutoff the node manually if we exceed the
3770 * cutoffbound. This is only relevant if a user updates the lower bound; in the main solving process of SCIP the
3771 * lowerbound is only changed before branching and the given node is always a child node. Therefore, we only check
3776 SCIP_CALL( SCIPnodeCutoff(node, scip->set, scip->stat, scip->tree, scip->transprob, scip->origprob, scip->reopt,
3785 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3797 SCIP_CALL( SCIPcheckStage(scip, "SCIPchgChildPrio", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
SCIP_RETCODE SCIPclearConflictStore(SCIP *scip, SCIP_EVENT *event)
Definition: scip_prob.c:3286
void SCIPfreeRandom(SCIP *scip, SCIP_RANDNUMGEN **randnumgen)
Definition: scip_randnumgen.c:79
Definition: type_conflict.h:62
SCIP_RETCODE SCIPconsDelete(SCIP_CONS *cons, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *prob, SCIP_REOPT *reopt)
Definition: cons.c:6481
SCIP_RETCODE SCIPenableReoptimization(SCIP *scip, SCIP_Bool enable)
Definition: scip_solve.c:3033
Definition: type_tree.h:42
Definition: type_result.h:42
SCIP_RETCODE SCIPpricerDeactivate(SCIP_PRICER *pricer, SCIP_SET *set)
Definition: pricer.c:376
SCIP_RETCODE SCIPprimalUpdateObjoffset(SCIP_PRIMAL *primal, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_EVENTFILTER *eventfilter, SCIP_EVENTQUEUE *eventqueue, SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_TREE *tree, SCIP_REOPT *reopt, SCIP_LP *lp)
Definition: primal.c:488
public methods for SCIP parameter handling
public methods for branch and bound tree
internal methods for branch and bound tree
Definition: type_var.h:49
SCIP_RETCODE SCIPaddVarObj(SCIP *scip, SCIP_VAR *var, SCIP_Real addobj)
Definition: scip_var.c:4564
Definition: struct_scip.h:69
static SCIP_RETCODE writeProblem(SCIP *scip, const char *filename, const char *extension, SCIP_Bool transformed, SCIP_Bool genericnames)
Definition: scip_prob.c:490
SCIP_RETCODE SCIPgetSolVarsData(SCIP *scip, SCIP_SOL *sol, SCIP_VAR ***vars, int *nvars, int *nbinvars, int *nintvars, int *nimplvars, int *ncontvars)
Definition: scip_prob.c:2620
Definition: type_prob.h:47
public methods for memory management
SCIP_RETCODE SCIPaddOrigObjoffset(SCIP *scip, SCIP_Real addval)
Definition: scip_prob.c:1290
#define SCIPallocClearBufferArray(scip, ptr, num)
Definition: scip_mem.h:126
SCIP_Real SCIPgetLocalTransEstimate(SCIP *scip)
Definition: scip_prob.c:3546
SCIP_RETCODE SCIPsetProbCopy(SCIP *scip, SCIP_DECL_PROBCOPY((*probcopy)))
Definition: scip_prob.c:306
SCIP_RETCODE SCIPconflictstoreCleanNewIncumbent(SCIP_CONFLICTSTORE *conflictstore, SCIP_SET *set, SCIP_STAT *stat, BMS_BLKMEM *blkmem, SCIP_PROB *transprob, SCIP_REOPT *reopt, SCIP_Real cutoffbound)
Definition: conflictstore.c:1239
void SCIPlpRecalculateObjSqrNorm(SCIP_SET *set, SCIP_LP *lp)
Definition: lp.c:17676
internal methods for clocks and timing issues
SCIP_RETCODE SCIPcreateProb(SCIP *scip, const char *name, SCIP_DECL_PROBDELORIG((*probdelorig)), SCIP_DECL_PROBTRANS((*probtrans)), SCIP_DECL_PROBDELTRANS((*probdeltrans)), SCIP_DECL_PROBINITSOL((*probinitsol)), SCIP_DECL_PROBEXITSOL((*probexitsol)), SCIP_DECL_PROBCOPY((*probcopy)), SCIP_PROBDATA *probdata)
Definition: scip_prob.c:117
Definition: type_result.h:58
SCIP_RETCODE SCIPnodeDelCons(SCIP_NODE *node, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_TREE *tree, SCIP_CONS *cons)
Definition: tree.c:1697
SCIP_Bool SCIPisGE(SCIP *scip, SCIP_Real val1, SCIP_Real val2)
Definition: scip_numerics.c:497
Definition: type_set.h:46
public solving methods
SCIP_RETCODE SCIPdelConsNode(SCIP *scip, SCIP_NODE *node, SCIP_CONS *cons)
Definition: scip_prob.c:3424
public methods for timing
void SCIPprobAddObjoffset(SCIP_PROB *prob, SCIP_Real addval)
Definition: prob.c:1481
Definition: struct_var.h:207
void SCIPsplitFilename(char *filename, char **path, char **name, char **extension, char **compression)
Definition: misc.c:11095
SCIP_RETCODE SCIPprintTransProblem(SCIP *scip, FILE *file, const char *extension, SCIP_Bool genericnames)
Definition: scip_solvingstats.c:2419
SCIP_RETCODE SCIPbendersDeactivate(SCIP_BENDERS *benders, SCIP_SET *set)
Definition: benders.c:2614
SCIP_RETCODE SCIPreoptAddCons(SCIP_REOPT *reopt, SCIP_SET *set, BMS_BLKMEM *blkmem, SCIP_CONS *cons)
Definition: reopt.c:8092
SCIP_RETCODE SCIPgetVarsData(SCIP *scip, SCIP_VAR ***vars, int *nvars, int *nbinvars, int *nintvars, int *nimplvars, int *ncontvars)
Definition: scip_prob.c:1866
Definition: type_message.h:56
SCIP_RETCODE SCIPsetProbExitsol(SCIP *scip, SCIP_DECL_PROBEXITSOL((*probexitsol)))
Definition: scip_prob.c:285
datastructures for constraints and constraint handlers
SCIP_CONS ** SCIPconshdlrGetConss(SCIP_CONSHDLR *conshdlr)
Definition: cons.c:4595
SCIP_RETCODE SCIPchgReoptObjective(SCIP *scip, SCIP_OBJSENSE objsense, SCIP_VAR **vars, SCIP_Real *coefs, int nvars)
Definition: scip_prob.c:1119
void SCIPrandomPermuteArray(SCIP_RANDNUMGEN *randnumgen, void **array, int begin, int end)
Definition: misc.c:10179
void SCIPprobSetExitsol(SCIP_PROB *prob, SCIP_DECL_PROBEXITSOL((*probexitsol)))
Definition: prob.c:395
SCIP_RETCODE SCIPwriteOrigProblem(SCIP *scip, const char *filename, const char *extension, SCIP_Bool genericnames)
Definition: scip_prob.c:601
Definition: struct_misc.h:268
SCIP_Real SCIPprobInternObjval(SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_SET *set, SCIP_Real objval)
Definition: prob.c:2179
SCIP_RETCODE SCIPsetProbData(SCIP *scip, SCIP_PROBDATA *probdata)
Definition: scip_prob.c:1014
SCIP_RETCODE SCIPreoptFree(SCIP_REOPT **reopt, SCIP_SET *set, SCIP_PRIMAL *origprimal, BMS_BLKMEM *blkmem)
Definition: reopt.c:5151
public methods for problem variables
SCIP_RETCODE SCIPgetOrigVarsData(SCIP *scip, SCIP_VAR ***vars, int *nvars, int *nbinvars, int *nintvars, int *nimplvars, int *ncontvars)
Definition: scip_prob.c:2357
#define SCIPduplicateBufferArray(scip, ptr, source, num)
Definition: scip_mem.h:132
Definition: type_retcode.h:47
Definition: type_message.h:57
public methods for SCIP variables
SCIP_RETCODE SCIPprimalUpdateObjlimit(SCIP_PRIMAL *primal, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_EVENTFILTER *eventfilter, SCIP_EVENTQUEUE *eventqueue, SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_TREE *tree, SCIP_REOPT *reopt, SCIP_LP *lp)
Definition: primal.c:448
internal methods for LP management
Definition: heur_padm.c:134
Definition: struct_tree.h:141
SCIP_RETCODE SCIPcreateProbBasic(SCIP *scip, const char *name)
Definition: scip_prob.c:180
public methods for numerical tolerances
internal methods for collecting primal CIP solutions and primal informations
SCIP_RETCODE SCIPconflictstoreCreate(SCIP_CONFLICTSTORE **conflictstore, SCIP_SET *set)
Definition: conflictstore.c:745
SCIP_RETCODE SCIPchgChildPrio(SCIP *scip, SCIP_NODE *child, SCIP_Real priority)
Definition: scip_prob.c:3791
public methods for querying solving statistics
Definition: struct_sol.h:73
SCIP_RETCODE SCIPprobFree(SCIP_PROB **prob, SCIP_MESSAGEHDLR *messagehdlr, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_EVENTQUEUE *eventqueue, SCIP_LP *lp)
Definition: prob.c:417
SCIP_RETCODE SCIPnodeCutoff(SCIP_NODE *node, SCIP_SET *set, SCIP_STAT *stat, SCIP_TREE *tree, SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_REOPT *reopt, SCIP_LP *lp, BMS_BLKMEM *blkmem)
Definition: tree.c:1234
void SCIPprobSetInitsol(SCIP_PROB *prob, SCIP_DECL_PROBINITSOL((*probinitsol)))
Definition: prob.c:384
void SCIPprobSetCopy(SCIP_PROB *prob, SCIP_DECL_PROBCOPY((*probcopy)))
Definition: prob.c:406
SCIP_RETCODE SCIPdelVar(SCIP *scip, SCIP_VAR *var, SCIP_Bool *deleted)
Definition: scip_prob.c:1790
public methods for managing constraints
SCIP_RETCODE SCIPsetObjsense(SCIP *scip, SCIP_OBJSENSE objsense)
Definition: scip_prob.c:1242
SCIP_RETCODE SCIPprobPerformVarDeletions(SCIP_PROB *prob, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_EVENTQUEUE *eventqueue, SCIP_CLIQUETABLE *cliquetable, SCIP_LP *lp, SCIP_BRANCHCAND *branchcand)
Definition: prob.c:1104
void SCIPnodeUpdateLowerbound(SCIP_NODE *node, SCIP_STAT *stat, SCIP_SET *set, SCIP_TREE *tree, SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_Real newbound)
Definition: tree.c:2411
void SCIPprobSetObjsense(SCIP_PROB *prob, SCIP_OBJSENSE objsense)
Definition: prob.c:1468
Definition: type_retcode.h:45
internal methods for storing and manipulating the main problem
Definition: struct_cons.h:46
void SCIPmessagePrintVerbInfo(SCIP_MESSAGEHDLR *messagehdlr, SCIP_VERBLEVEL verblevel, SCIP_VERBLEVEL msgverblevel, const char *formatstr,...)
Definition: message.c:678
SCIP_Bool SCIPsyncstoreIsInitialized(SCIP_SYNCSTORE *syncstore)
Definition: syncstore.c:791
SCIP_RETCODE SCIPaddConsLocal(SCIP *scip, SCIP_CONS *cons, SCIP_NODE *validnode)
Definition: scip_prob.c:3393
SCIP_CONS * SCIPprobFindCons(SCIP_PROB *prob, const char *name)
Definition: prob.c:2220
Definition: struct_cons.h:126
Definition: type_retcode.h:51
SCIP_RETCODE SCIPreadProb(SCIP *scip, const char *filename, const char *extension)
Definition: scip_prob.c:339
SCIP_RETCODE SCIPdelConsLocal(SCIP *scip, SCIP_CONS *cons)
Definition: scip_prob.c:3474
SCIP_RETCODE SCIPconflictstoreFree(SCIP_CONFLICTSTORE **conflictstore, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_REOPT *reopt)
Definition: conflictstore.c:795
Definition: type_set.h:55
SCIP_RETCODE SCIPcheckStage(SCIP *scip, const char *method, SCIP_Bool init, SCIP_Bool problem, SCIP_Bool transforming, SCIP_Bool transformed, SCIP_Bool initpresolve, SCIP_Bool presolving, SCIP_Bool exitpresolve, SCIP_Bool presolved, SCIP_Bool initsolve, SCIP_Bool solving, SCIP_Bool solved, SCIP_Bool exitsolve, SCIP_Bool freetrans, SCIP_Bool freescip)
Definition: debug.c:2208
SCIP_CONS * SCIPfindOrigCons(SCIP *scip, const char *name)
Definition: scip_prob.c:2898
SCIP_RETCODE SCIPreaderResetReadingTime(SCIP_READER *reader)
Definition: reader.c:628
Definition: type_set.h:56
Definition: type_var.h:51
void SCIPmessagePrintWarning(SCIP_MESSAGEHDLR *messagehdlr, const char *formatstr,...)
Definition: message.c:427
SCIP_Real SCIPgetNodeDualbound(SCIP *scip, SCIP_NODE *node)
Definition: scip_prob.c:3605
SCIP_RETCODE SCIPgetBoolParam(SCIP *scip, const char *name, SCIP_Bool *value)
Definition: scip_param.c:250
SCIP_RETCODE SCIPprintOrigProblem(SCIP *scip, FILE *file, const char *extension, SCIP_Bool genericnames)
Definition: scip_solvingstats.c:2375
SCIP_RETCODE SCIPprobSetName(SCIP_PROB *prob, const char *name)
Definition: prob.c:2022
Definition: type_set.h:52
Definition: type_retcode.h:42
internal methods for variable pricers
Definition: type_set.h:57
public methods for primal CIP solutions
Definition: struct_event.h:161
internal methods for global SCIP settings
internal methods for storing conflicts
SCIP main data structure.
SCIP_RETCODE SCIPreaderRead(SCIP_READER *reader, SCIP_SET *set, const char *filename, const char *extension, SCIP_RESULT *result)
Definition: reader.c:183
SCIP_RETCODE SCIPprobCreate(SCIP_PROB **prob, BMS_BLKMEM *blkmem, SCIP_SET *set, const char *name, SCIP_DECL_PROBDELORIG((*probdelorig)), SCIP_DECL_PROBTRANS((*probtrans)), SCIP_DECL_PROBDELTRANS((*probdeltrans)), SCIP_DECL_PROBINITSOL((*probinitsol)), SCIP_DECL_PROBEXITSOL((*probexitsol)), SCIP_DECL_PROBCOPY((*probcopy)), SCIP_PROBDATA *probdata, SCIP_Bool transformed)
Definition: prob.c:270
internal methods for storing priced variables
public methods for constraint handler plugins and constraints
SCIP_RETCODE SCIPaddConsNode(SCIP *scip, SCIP_NODE *node, SCIP_CONS *cons, SCIP_NODE *validnode)
Definition: scip_prob.c:3323
SCIP_RETCODE SCIPchgVarObj(SCIP *scip, SCIP_VAR *var, SCIP_Real newobj)
Definition: scip_var.c:4515
SCIP_RETCODE SCIPcreateRandom(SCIP *scip, SCIP_RANDNUMGEN **randnumgen, unsigned int initialseed, SCIP_Bool useglobalseed)
Definition: scip_randnumgen.c:56
data structures and methods for collecting reoptimization information
the function declarations for the synchronization store
Definition: type_message.h:55
public data structures and miscellaneous methods
SCIP_RETCODE SCIPpermuteProb(SCIP *scip, unsigned int randseed, SCIP_Bool permuteconss, SCIP_Bool permutebinvars, SCIP_Bool permuteintvars, SCIP_Bool permuteimplvars, SCIP_Bool permutecontvars)
Definition: scip_prob.c:781
int SCIPtreeGetEffectiveRootDepth(SCIP_TREE *tree)
Definition: tree.c:8489
SCIP_RETCODE SCIPsetProbTrans(SCIP *scip, SCIP_DECL_PROBTRANS((*probtrans)))
Definition: scip_prob.c:221
SCIP_RETCODE SCIPwriteTransProblem(SCIP *scip, const char *filename, const char *extension, SCIP_Bool genericnames)
Definition: scip_prob.c:648
SCIP_RETCODE SCIPsetObjlimit(SCIP *scip, SCIP_Real objlimit)
Definition: scip_prob.c:1422
Definition: type_tree.h:44
SCIP_RETCODE SCIPstatCreate(SCIP_STAT **stat, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_MESSAGEHDLR *messagehdlr)
Definition: stat.c:55
SCIP_RETCODE SCIPupdateNodeDualbound(SCIP *scip, SCIP_NODE *node, SCIP_Real newbound)
Definition: scip_prob.c:3735
SCIP_RETCODE SCIPupdateNodeLowerbound(SCIP *scip, SCIP_NODE *node, SCIP_Real newbound)
Definition: scip_prob.c:3757
internal methods for input file readers
Definition: type_var.h:55
void SCIPprobSetTrans(SCIP_PROB *prob, SCIP_DECL_PROBTRANS((*probtrans)))
Definition: prob.c:362
methods for debugging
Definition: type_set.h:49
datastructures for block memory pools and memory buffers
Definition: type_set.h:50
SCIP_RETCODE SCIPpricestoreAddVar(SCIP_PRICESTORE *pricestore, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_EVENTQUEUE *eventqueue, SCIP_LP *lp, SCIP_VAR *var, SCIP_Real score, SCIP_Bool root)
Definition: pricestore.c:181
Definition: type_var.h:50
SCIP_RETCODE SCIPupdateLocalDualbound(SCIP *scip, SCIP_Real newbound)
Definition: scip_prob.c:3646
void SCIPdecompstoreFree(SCIP_DECOMPSTORE **decompstore, BMS_BLKMEM *blkmem)
Definition: dcmp.c:555
Definition: type_set.h:54
datastructures for problem statistics
Definition: type_set.h:51
int SCIPconshdlrGetNActiveConss(SCIP_CONSHDLR *conshdlr)
Definition: cons.c:4672
helper functions for concurrent scip solvers
Definition: type_retcode.h:48
SCIP_RETCODE SCIPsyncstoreExit(SCIP_SYNCSTORE *syncstore)
Definition: syncstore.c:202
SCIP_RETCODE SCIPupdateLocalLowerbound(SCIP *scip, SCIP_Real newbound)
Definition: scip_prob.c:3696
datastructures for storing and manipulating the main problem
Definition: type_set.h:48
Definition: type_set.h:45
SCIP_RETCODE SCIPaddPricedVar(SCIP *scip, SCIP_VAR *var, SCIP_Real score)
Definition: scip_prob.c:1733
internal methods for decompositions and the decomposition store
SCIP_RETCODE SCIPsetProbInitsol(SCIP *scip, SCIP_DECL_PROBINITSOL((*probinitsol)))
Definition: scip_prob.c:263
Definition: type_set.h:44
public methods for managing events
general public methods
SCIP_RETCODE SCIPsetProbName(SCIP *scip, const char *name)
Definition: scip_prob.c:1095
public methods for solutions
public methods for random numbers
SCIP_RETCODE SCIPreleaseCons(SCIP *scip, SCIP_CONS **cons)
Definition: scip_cons.c:1174
public methods for message output
data structures for LP management
void SCIPprobUpdateDualbound(SCIP_PROB *prob, SCIP_Real newbound)
Definition: prob.c:1609
void SCIPprobSetDelorig(SCIP_PROB *prob, SCIP_DECL_PROBDELORIG((*probdelorig)))
Definition: prob.c:351
datastructures for problem variables
internal methods for problem statistics
public methods for input file readers
SCIP_RETCODE SCIPconflictstoreAddConflict(SCIP_CONFLICTSTORE *conflictstore, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_TREE *tree, SCIP_PROB *transprob, SCIP_REOPT *reopt, SCIP_CONS *cons, SCIP_CONFTYPE conftype, SCIP_Bool cutoffinvolved, SCIP_Real primalbound)
Definition: conflictstore.c:1144
int SCIPconshdlrGetNCheckConss(SCIP_CONSHDLR *conshdlr)
Definition: cons.c:4658
datastructures for collecting primal CIP solutions and primal informations
public methods for message handling
internal methods for constraints and constraint handlers
SCIP_RETCODE SCIPnodeAddCons(SCIP_NODE *node, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_TREE *tree, SCIP_CONS *cons)
Definition: tree.c:1654
Definition: type_retcode.h:54
Definition: type_set.h:53
SCIP_Real SCIPgetNodeLowerbound(SCIP *scip, SCIP_NODE *node)
Definition: scip_prob.c:3622
void SCIPprobSetDeltrans(SCIP_PROB *prob, SCIP_DECL_PROBDELTRANS((*probdeltrans)))
Definition: prob.c:373
SCIP_RETCODE SCIPsetProbDeltrans(SCIP *scip, SCIP_DECL_PROBDELTRANS((*probdeltrans)))
Definition: scip_prob.c:242
SCIP_Real SCIPprobExternObjval(SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_SET *set, SCIP_Real objval)
Definition: prob.c:2157
SCIP_RETCODE SCIPprobAddCons(SCIP_PROB *prob, SCIP_SET *set, SCIP_STAT *stat, SCIP_CONS *cons)
Definition: prob.c:1319
void SCIPprimalAddOrigObjoffset(SCIP_PRIMAL *primal, SCIP_SET *set, SCIP_Real addval)
Definition: primal.c:544
Definition: type_retcode.h:46
Definition: type_retcode.h:44
SCIP_RETCODE SCIPprobDelVar(SCIP_PROB *prob, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_EVENTQUEUE *eventqueue, SCIP_VAR *var, SCIP_Bool *deleted)
Definition: prob.c:1043
SCIP_RETCODE SCIPsetProbDelorig(SCIP *scip, SCIP_DECL_PROBDELORIG((*probdelorig)))
Definition: scip_prob.c:200
Definition: type_prob.h:48
SCIP_RETCODE SCIPaddConflict(SCIP *scip, SCIP_NODE *node, SCIP_CONS *cons, SCIP_NODE *validnode, SCIP_CONFTYPE conftype, SCIP_Bool iscutoffinvolved)
Definition: scip_prob.c:3228
Definition: type_retcode.h:52
SCIP_RETCODE SCIPprimalFree(SCIP_PRIMAL **primal, BMS_BLKMEM *blkmem)
Definition: primal.c:160
Definition: objbenders.h:43
public methods for global and local (sub)problems
void SCIPchildChgNodeselPrio(SCIP_TREE *tree, SCIP_NODE *child, SCIP_Real priority)
Definition: tree.c:2489
SCIP_RETCODE SCIPaddObjoffset(SCIP *scip, SCIP_Real addval)
Definition: scip_prob.c:1268
Definition: type_set.h:47
datastructures for global SCIP settings
SCIP_RETCODE SCIPdecompstoreCreate(SCIP_DECOMPSTORE **decompstore, BMS_BLKMEM *blkmem, int nslots)
Definition: dcmp.c:500
SCIP_RETCODE SCIPprobAddVar(SCIP_PROB *prob, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_LP *lp, SCIP_BRANCHCAND *branchcand, SCIP_EVENTFILTER *eventfilter, SCIP_EVENTQUEUE *eventqueue, SCIP_VAR *var)
Definition: prob.c:970
memory allocation routines
Definition: type_var.h:71