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) );
internal methods for clocks and timing issues
helper functions for concurrent scip solvers
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
SCIP_RETCODE SCIPconflictstoreFree(SCIP_CONFLICTSTORE **conflictstore, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_REOPT *reopt)
Definition: conflictstore.c:795
SCIP_RETCODE SCIPconflictstoreCreate(SCIP_CONFLICTSTORE **conflictstore, SCIP_SET *set)
Definition: conflictstore.c:745
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
internal methods for storing conflicts
SCIP_RETCODE SCIPconsDelete(SCIP_CONS *cons, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *prob, SCIP_REOPT *reopt)
Definition: cons.c:6479
internal methods for constraints and constraint handlers
SCIP_RETCODE SCIPdecompstoreCreate(SCIP_DECOMPSTORE **decompstore, BMS_BLKMEM *blkmem, int nslots)
Definition: dcmp.c:500
void SCIPdecompstoreFree(SCIP_DECOMPSTORE **decompstore, BMS_BLKMEM *blkmem)
Definition: dcmp.c:555
internal methods for decompositions and the decomposition store
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
methods for debugging
void SCIPsplitFilename(char *filename, char **path, char **name, char **extension, char **compression)
Definition: misc.c:11095
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
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
SCIP_RETCODE SCIPgetOrigVarsData(SCIP *scip, SCIP_VAR ***vars, int *nvars, int *nbinvars, int *nintvars, int *nimplvars, int *ncontvars)
Definition: scip_prob.c:2357
SCIP_RETCODE SCIPaddPricedVar(SCIP *scip, SCIP_VAR *var, SCIP_Real score)
Definition: scip_prob.c:1733
SCIP_RETCODE SCIPwriteOrigProblem(SCIP *scip, const char *filename, const char *extension, SCIP_Bool genericnames)
Definition: scip_prob.c:601
SCIP_RETCODE SCIPsetProbName(SCIP *scip, const char *name)
Definition: scip_prob.c:1095
SCIP_RETCODE SCIPsetObjlimit(SCIP *scip, SCIP_Real objlimit)
Definition: scip_prob.c:1422
SCIP_RETCODE SCIPsetProbDeltrans(SCIP *scip, SCIP_DECL_PROBDELTRANS((*probdeltrans)))
Definition: scip_prob.c:242
SCIP_RETCODE SCIPgetVarsData(SCIP *scip, SCIP_VAR ***vars, int *nvars, int *nbinvars, int *nintvars, int *nimplvars, int *ncontvars)
Definition: scip_prob.c:1866
SCIP_RETCODE SCIPsetProbExitsol(SCIP *scip, SCIP_DECL_PROBEXITSOL((*probexitsol)))
Definition: scip_prob.c:285
SCIP_RETCODE SCIPsetProbTrans(SCIP *scip, SCIP_DECL_PROBTRANS((*probtrans)))
Definition: scip_prob.c:221
SCIP_RETCODE SCIPsetProbDelorig(SCIP *scip, SCIP_DECL_PROBDELORIG((*probdelorig)))
Definition: scip_prob.c:200
SCIP_RETCODE SCIPaddObjoffset(SCIP *scip, SCIP_Real addval)
Definition: scip_prob.c:1268
SCIP_RETCODE SCIPchgReoptObjective(SCIP *scip, SCIP_OBJSENSE objsense, SCIP_VAR **vars, SCIP_Real *coefs, int nvars)
Definition: scip_prob.c:1119
SCIP_CONS * SCIPfindOrigCons(SCIP *scip, const char *name)
Definition: scip_prob.c:2898
SCIP_RETCODE SCIPsetProbInitsol(SCIP *scip, SCIP_DECL_PROBINITSOL((*probinitsol)))
Definition: scip_prob.c:263
SCIP_RETCODE SCIPdelVar(SCIP *scip, SCIP_VAR *var, SCIP_Bool *deleted)
Definition: scip_prob.c:1790
SCIP_RETCODE SCIPsetObjsense(SCIP *scip, SCIP_OBJSENSE objsense)
Definition: scip_prob.c:1242
SCIP_RETCODE SCIPaddOrigObjoffset(SCIP *scip, SCIP_Real addval)
Definition: scip_prob.c:1290
SCIP_RETCODE SCIPcreateProbBasic(SCIP *scip, const char *name)
Definition: scip_prob.c:180
SCIP_RETCODE SCIPwriteTransProblem(SCIP *scip, const char *filename, const char *extension, SCIP_Bool genericnames)
Definition: scip_prob.c:648
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
SCIP_RETCODE SCIPsetProbData(SCIP *scip, SCIP_PROBDATA *probdata)
Definition: scip_prob.c:1014
SCIP_RETCODE SCIPsetProbCopy(SCIP *scip, SCIP_DECL_PROBCOPY((*probcopy)))
Definition: scip_prob.c:306
SCIP_RETCODE SCIPreadProb(SCIP *scip, const char *filename, const char *extension)
Definition: scip_prob.c:339
SCIP_RETCODE SCIPupdateNodeLowerbound(SCIP *scip, SCIP_NODE *node, SCIP_Real newbound)
Definition: scip_prob.c:3757
SCIP_RETCODE SCIPupdateLocalLowerbound(SCIP *scip, SCIP_Real newbound)
Definition: scip_prob.c:3696
SCIP_Real SCIPgetNodeDualbound(SCIP *scip, SCIP_NODE *node)
Definition: scip_prob.c:3605
SCIP_RETCODE SCIPdelConsNode(SCIP *scip, SCIP_NODE *node, SCIP_CONS *cons)
Definition: scip_prob.c:3424
SCIP_RETCODE SCIPdelConsLocal(SCIP *scip, SCIP_CONS *cons)
Definition: scip_prob.c:3474
SCIP_RETCODE SCIPaddConsNode(SCIP *scip, SCIP_NODE *node, SCIP_CONS *cons, SCIP_NODE *validnode)
Definition: scip_prob.c:3323
SCIP_RETCODE SCIPclearConflictStore(SCIP *scip, SCIP_EVENT *event)
Definition: scip_prob.c:3286
SCIP_RETCODE SCIPupdateLocalDualbound(SCIP *scip, SCIP_Real newbound)
Definition: scip_prob.c:3646
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
SCIP_RETCODE SCIPchgChildPrio(SCIP *scip, SCIP_NODE *child, SCIP_Real priority)
Definition: scip_prob.c:3791
SCIP_RETCODE SCIPupdateNodeDualbound(SCIP *scip, SCIP_NODE *node, SCIP_Real newbound)
Definition: scip_prob.c:3735
SCIP_RETCODE SCIPaddConsLocal(SCIP *scip, SCIP_CONS *cons, SCIP_NODE *validnode)
Definition: scip_prob.c:3393
SCIP_Real SCIPgetNodeLowerbound(SCIP *scip, SCIP_NODE *node)
Definition: scip_prob.c:3622
SCIP_Real SCIPgetLocalTransEstimate(SCIP *scip)
Definition: scip_prob.c:3546
SCIP_RETCODE SCIPgetBoolParam(SCIP *scip, const char *name, SCIP_Bool *value)
Definition: scip_param.c:250
void SCIPrandomPermuteArray(SCIP_RANDNUMGEN *randnumgen, void **array, int begin, int end)
Definition: misc.c:10179
int SCIPconshdlrGetNCheckConss(SCIP_CONSHDLR *conshdlr)
Definition: cons.c:4656
int SCIPconshdlrGetNActiveConss(SCIP_CONSHDLR *conshdlr)
Definition: cons.c:4670
SCIP_CONS ** SCIPconshdlrGetConss(SCIP_CONSHDLR *conshdlr)
Definition: cons.c:4593
SCIP_RETCODE SCIPreleaseCons(SCIP *scip, SCIP_CONS **cons)
Definition: scip_cons.c:1174
#define SCIPallocClearBufferArray(scip, ptr, num)
Definition: scip_mem.h:126
#define SCIPduplicateBufferArray(scip, ptr, source, num)
Definition: scip_mem.h:132
SCIP_RETCODE SCIPenableReoptimization(SCIP *scip, SCIP_Bool enable)
Definition: scip_solve.c:3043
SCIP_RETCODE SCIPprintTransProblem(SCIP *scip, FILE *file, const char *extension, SCIP_Bool genericnames)
Definition: scip_solvingstats.c:2415
SCIP_RETCODE SCIPprintOrigProblem(SCIP *scip, FILE *file, const char *extension, SCIP_Bool genericnames)
Definition: scip_solvingstats.c:2371
SCIP_Bool SCIPisGE(SCIP *scip, SCIP_Real val1, SCIP_Real val2)
Definition: scip_numerics.c:497
SCIP_RETCODE SCIPchgVarObj(SCIP *scip, SCIP_VAR *var, SCIP_Real newobj)
Definition: scip_var.c:4513
SCIP_RETCODE SCIPaddVarObj(SCIP *scip, SCIP_VAR *var, SCIP_Real addobj)
Definition: scip_var.c:4562
void SCIPfreeRandom(SCIP *scip, SCIP_RANDNUMGEN **randnumgen)
Definition: scip_randnumgen.c:79
SCIP_RETCODE SCIPcreateRandom(SCIP *scip, SCIP_RANDNUMGEN **randnumgen, unsigned int initialseed, SCIP_Bool useglobalseed)
Definition: scip_randnumgen.c:56
void SCIPlpRecalculateObjSqrNorm(SCIP_SET *set, SCIP_LP *lp)
Definition: lp.c:17676
internal methods for LP management
memory allocation routines
void SCIPmessagePrintWarning(SCIP_MESSAGEHDLR *messagehdlr, const char *formatstr,...)
Definition: message.c:427
void SCIPmessagePrintVerbInfo(SCIP_MESSAGEHDLR *messagehdlr, SCIP_VERBLEVEL verblevel, SCIP_VERBLEVEL msgverblevel, const char *formatstr,...)
Definition: message.c:678
Definition: objbenders.h:44
SCIP_RETCODE SCIPpricerDeactivate(SCIP_PRICER *pricer, SCIP_SET *set)
Definition: pricer.c:376
internal methods for variable pricers
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
internal methods for storing priced variables
void SCIPprimalAddOrigObjoffset(SCIP_PRIMAL *primal, SCIP_SET *set, SCIP_Real addval)
Definition: primal.c:544
SCIP_RETCODE SCIPprimalFree(SCIP_PRIMAL **primal, BMS_BLKMEM *blkmem)
Definition: primal.c:160
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
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 collecting primal CIP solutions and primal informations
void SCIPprobSetTrans(SCIP_PROB *prob, SCIP_DECL_PROBTRANS((*probtrans)))
Definition: prob.c:362
void SCIPprobSetInitsol(SCIP_PROB *prob, SCIP_DECL_PROBINITSOL((*probinitsol)))
Definition: prob.c:384
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
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 SCIPprobSetExitsol(SCIP_PROB *prob, SCIP_DECL_PROBEXITSOL((*probexitsol)))
Definition: prob.c:395
void SCIPprobUpdateDualbound(SCIP_PROB *prob, SCIP_Real newbound)
Definition: prob.c:1609
SCIP_RETCODE SCIPprobSetName(SCIP_PROB *prob, const char *name)
Definition: prob.c:2022
void SCIPprobSetDeltrans(SCIP_PROB *prob, SCIP_DECL_PROBDELTRANS((*probdeltrans)))
Definition: prob.c:373
void SCIPprobAddObjoffset(SCIP_PROB *prob, SCIP_Real addval)
Definition: prob.c:1481
void SCIPprobSetCopy(SCIP_PROB *prob, SCIP_DECL_PROBCOPY((*probcopy)))
Definition: prob.c:406
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
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_CONS * SCIPprobFindCons(SCIP_PROB *prob, const char *name)
Definition: prob.c:2220
SCIP_Real SCIPprobExternObjval(SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_SET *set, SCIP_Real objval)
Definition: prob.c:2157
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 SCIPprobAddCons(SCIP_PROB *prob, SCIP_SET *set, SCIP_STAT *stat, SCIP_CONS *cons)
Definition: prob.c:1319
void SCIPprobSetDelorig(SCIP_PROB *prob, SCIP_DECL_PROBDELORIG((*probdelorig)))
Definition: prob.c:351
void SCIPprobSetObjsense(SCIP_PROB *prob, SCIP_OBJSENSE objsense)
Definition: prob.c:1468
SCIP_Real SCIPprobInternObjval(SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_SET *set, SCIP_Real objval)
Definition: prob.c:2179
internal methods for storing and manipulating the main problem
public methods for managing constraints
public methods for managing events
public methods for message output
public data structures and miscellaneous methods
public methods for input file readers
public methods for primal CIP solutions
public methods for branch and bound tree
public methods for problem variables
SCIP_RETCODE SCIPreaderRead(SCIP_READER *reader, SCIP_SET *set, const char *filename, const char *extension, SCIP_RESULT *result)
Definition: reader.c:183
SCIP_RETCODE SCIPreaderResetReadingTime(SCIP_READER *reader)
Definition: reader.c:628
internal methods for input file readers
SCIP_RETCODE SCIPreoptAddCons(SCIP_REOPT *reopt, SCIP_SET *set, BMS_BLKMEM *blkmem, SCIP_CONS *cons)
Definition: reopt.c:8092
SCIP_RETCODE SCIPreoptFree(SCIP_REOPT **reopt, SCIP_SET *set, SCIP_PRIMAL *origprimal, BMS_BLKMEM *blkmem)
Definition: reopt.c:5151
data structures and methods for collecting reoptimization information
public methods for constraint handler plugins and constraints
general public methods
public methods for memory management
public methods for message handling
public methods for numerical tolerances
public methods for SCIP parameter handling
static SCIP_RETCODE writeProblem(SCIP *scip, const char *filename, const char *extension, SCIP_Bool transformed, SCIP_Bool genericnames)
Definition: scip_prob.c:490
public methods for global and local (sub)problems
public methods for random numbers
public methods for solutions
public solving methods
public methods for querying solving statistics
public methods for timing
public methods for SCIP variables
internal methods for global SCIP settings
SCIP_RETCODE SCIPbendersDeactivate(SCIP_BENDERS *benders, SCIP_SET *set)
Definition: benders.c:2612
internal methods for Benders' decomposition
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
internal methods for problem statistics
Definition: struct_cons.h:47
Definition: struct_cons.h:127
Definition: struct_event.h:162
Definition: struct_tree.h:142
Definition: struct_misc.h:269
Definition: struct_sol.h:74
Definition: struct_var.h:208
Definition: struct_scip.h:70
datastructures for constraints and constraint handlers
data structures for LP management
datastructures for block memory pools and memory buffers
datastructures for collecting primal CIP solutions and primal informations
datastructures for storing and manipulating the main problem
SCIP main data structure.
datastructures for global SCIP settings
datastructures for problem statistics
datastructures for problem variables
Definition: heur_padm.c:135
SCIP_RETCODE SCIPsyncstoreExit(SCIP_SYNCSTORE *syncstore)
Definition: syncstore.c:202
SCIP_Bool SCIPsyncstoreIsInitialized(SCIP_SYNCSTORE *syncstore)
Definition: syncstore.c:791
the function declarations for the synchronization store
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:2375
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
SCIP_RETCODE SCIPnodeDelCons(SCIP_NODE *node, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_TREE *tree, SCIP_CONS *cons)
Definition: tree.c:1661
int SCIPtreeGetEffectiveRootDepth(SCIP_TREE *tree)
Definition: tree.c:8491
SCIP_RETCODE SCIPnodeAddCons(SCIP_NODE *node, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_TREE *tree, SCIP_CONS *cons)
Definition: tree.c:1618
void SCIPchildChgNodeselPrio(SCIP_TREE *tree, SCIP_NODE *child, SCIP_Real priority)
Definition: tree.c:2453
internal methods for branch and bound tree