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) );
545 SCIPmessagePrintWarning(scip->messagehdlr, "currently it is not possible to write files with any compression\n");
553 SCIPmessagePrintWarning(scip->messagehdlr, "filename <%s> has no file extension, select default <cip> format for writing\n", filename);
557 retcode = SCIPprintTransProblem(scip, file, extension != NULL ? extension : fileextension, genericnames);
559 retcode = SCIPprintOrigProblem(scip, file, extension != NULL ? extension : fileextension, genericnames);
592 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
619 SCIP_CALL( SCIPcheckStage(scip, "SCIPwriteOrigProblem", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
627 if( retcode == SCIP_FILECREATEERROR || retcode == SCIP_WRITEERROR || retcode == SCIP_PLUGINNOTFOUND )
639 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
653 * @note If you want the write all constraints (including the once which are redundant for example), you need to set
666 SCIP_CALL( SCIPcheckStage(scip, "SCIPwriteTransProblem", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
674 if( retcode == SCIP_FILECREATEERROR || retcode == SCIP_WRITEERROR || retcode == SCIP_PLUGINNOTFOUND )
686 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
708 SCIP_CALL( SCIPcheckStage(scip, "SCIPfreeProb", TRUE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, TRUE) );
710 /* if we free the problem, we do not have to transfer transformed solutions to the original space, so temporarily disable it */
753 /* free original primal solution candidate pool, original problem and problem statistics data structures */
759 SCIP_CALL( SCIPconflictstoreFree(&scip->conflictstore, scip->mem->probmem, scip->set, scip->stat, scip->reopt) );
761 SCIP_CALL( SCIPprobFree(&scip->origprob, scip->messagehdlr, scip->mem->probmem, scip->set, scip->stat, scip->eventqueue, scip->lp) );
780 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
792 SCIP_Bool permuteconss, /**< should the list of constraints in each constraint handler be permuted? */
811 SCIP_CALL( SCIPcheckStage(scip, "SCIPpermuteProb", FALSE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
825 /* The constraint handler should not be permuted since they are called w.r.t. to certain properties; besides
826 * that the "conshdlrs" array should stay in the order as it is since this array is used to copy the plugins for
827 * sub-SCIPs and contains the dependencies between the constraint handlers; for example the linear constraint
828 * handler stays in front of all constraint handler which can upgrade a linear constraint (such as logicor,
906 SCIPrandomPermuteArray(randnumgen, (void**)vars, nbinvars+nintvars, nbinvars+nintvars+nimplvars);
976 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetProbData", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
1005 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1027 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetProbData", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
1079 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetProbName", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
1086 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1108 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetProbName", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
1115 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1122 * @note This method should be only used to change the objective function during two reoptimization runs and is only
1125 * @note All variables not given in \p vars array are assumed to have an objective coefficient of zero.
1139 SCIP_CALL( SCIPcheckStage(scip, "SCIPchgReoptObjective", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
1152 SCIPdebugMsg(scip, "%s%g <%s> ", SCIPisPositive(scip, coefs[i]) ? "+" : "", coefs[i], SCIPvarGetName(vars[i]));
1157 /* Set all coefficients of original variables to 0, since we will add the new objective coefficients later. */
1165 /* In order to avoid numerical troubles, also explicitly set all transformed objective coefficients to 0. */
1197 /* Add coefficients because this gets transferred to the transformed problem (the coefficients were set to 0 above). */
1207 SCIPdebugMsg(scip, "%s%g <%s> ", SCIPisPositive(scip, objval) ? "+" : "", objval, SCIPvarGetName(origvars[i]));
1237 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetObjsense", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
1244 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1255 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetObjsense", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
1270 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1281 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddObjoffset", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
1284 SCIP_CALL( SCIPprimalUpdateObjoffset(scip->primal, SCIPblkmem(scip), scip->set, scip->stat, scip->eventfilter,
1290 /** adds offset of objective function to original problem and to all existing solution in original space
1292 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1303 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddOrigObjoffset", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
1331 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetOrigObjoffset", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1356 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetOrigObjscale", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1379 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetTransObjoffset", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1402 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetTransObjscale", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1407 /** sets limit on objective function, such that only solutions better than this limit are accepted
1409 * @note SCIP will only look for solutions with a strictly better objective value, thus, e.g., prune
1411 * However, SCIP will also collect solutions with objective value worse than the objective limit and
1413 * @note If SCIP can prove that there exists no solution with a strictly better objective value, the solving status
1415 * The only exception is that by chance, SCIP found a solution with the same objective value and thus
1418 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1437 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetObjlimit", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1447 if( SCIPtransformObj(scip, objlimit) > SCIPprobInternObjval(scip->transprob, scip->origprob, scip->set, oldobjlimit) && ! scip->set->reopt_enable)
1449 SCIPerrorMessage("cannot relax objective limit from %.15g to %.15g in presolved stage.\n", oldobjlimit, objlimit);
1454 SCIP_CALL( SCIPprimalUpdateObjlimit(scip->primal, scip->mem->probmem, scip->set, scip->stat, scip->eventfilter,
1465 if( SCIPtransformObj(scip, objlimit) > SCIPprobInternObjval(scip->transprob, scip->origprob, scip->set, oldobjlimit) )
1467 SCIPerrorMessage("cannot relax objective limit from %.15g to %.15g after problem was transformed.\n", oldobjlimit, objlimit);
1472 SCIP_CALL( SCIPprimalUpdateObjlimit(scip->primal, scip->mem->probmem, scip->set, scip->stat, scip->eventfilter,
1504 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetObjlimit", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1511 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1521 * @note This function should be used to inform SCIP that the objective function is integral, helping to improve the
1522 * performance. This is useful when using column generation. If no column generation (pricing) is used, SCIP
1523 * automatically detects whether the objective function is integral or can be scaled to be integral. However, in
1524 * any case, the user has to make sure that no variable is added during the solving process that destroys this
1531 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetObjIntegral", FALSE, TRUE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1565 * @note If no pricing is performed, SCIP automatically detects whether the objective function is integral or can be
1566 * scaled to be integral, helping to improve performance. This function returns the result. Otherwise
1567 * SCIPsetObjIntegral() can be used to inform SCIP. However, in any case, the user has to make sure that no
1576 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPisObjIntegral", FALSE, TRUE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1581 /* if the user explicitly added the information that there is an integral objective, return TRUE */
1585 /* if there exist unknown variables, we cannot conclude that the objective value is always integral */
1604 /* if variable's objective value is fractional, the problem's objective value may also be fractional */
1608 /* if variable with non-zero objective value is continuous, the problem's objective value may be fractional */
1634 /** returns the Euclidean norm of the objective function vector (available only for transformed problem)
1653 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetObjNorm", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1664 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1681 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddVar", FALSE, TRUE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1703 SCIP_CALL( SCIPprobAddVar(scip->origprob, scip->mem->probmem, scip->set, scip->lp, scip->branchcand,
1719 else if( SCIPvarGetStatus(var) != SCIP_VARSTATUS_LOOSE && SCIPvarGetStatus(var) != SCIP_VARSTATUS_COLUMN )
1736 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1747 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddPricedVar", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1766 else if( SCIPvarGetStatus(var) != SCIP_VARSTATUS_LOOSE && SCIPvarGetStatus(var) != SCIP_VARSTATUS_COLUMN )
1776 SCIP_CALL( SCIPpricestoreAddVar(scip->pricestore, scip->mem->probmem, scip->set, scip->eventqueue, scip->lp, var, score,
1784 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1794 * @warning The variable is not deleted from the constraints when in SCIP_STAGE_PROBLEM. In this stage, it is the
1795 * user's responsibility to ensure the variable has been removed from all constraints or the constraints
1801 SCIP_Bool* deleted /**< pointer to store whether marking variable to be deleted was successful */
1808 SCIP_CALL( SCIPcheckStage(scip, "SCIPdelVar", FALSE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE) );
1818 SCIP_CALL( SCIPprobDelVar(scip->origprob, scip->mem->probmem, scip->set, scip->eventqueue, var, deleted) );
1821 SCIP_CALL( SCIPprobPerformVarDeletions(scip->origprob, scip->mem->probmem, scip->set, scip->stat, scip->eventqueue, scip->cliquetable, scip->lp, scip->branchcand) );
1834 else if( SCIPvarGetStatus(var) != SCIP_VARSTATUS_LOOSE && SCIPvarGetStatus(var) != SCIP_VARSTATUS_COLUMN )
1840 SCIP_CALL( SCIPprobDelVar(scip->transprob, scip->mem->probmem, scip->set, scip->eventqueue, var, deleted) );
1844 /* in FREETRANS stage, we don't need to remove the variable, because the transformed problem is freed anyways */
1854 /** gets variables of the problem along with the numbers of different variable types; data may become invalid after
1857 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1872 * @note Variables in the vars array are ordered: binaries first, then integers, implicit integers and continuous last.
1880 int* nimplvars, /**< pointer to store number of implicit integral vars or NULL if not needed */
1884 SCIP_CALL( SCIPcheckStage(scip, "SCIPgetVarsData", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1948 * @note Variables in the array are ordered: binaries first, then integers, implicit integers and continuous last.
1950 * @warning If your are using the methods which add or change bound of variables (e.g., SCIPchgVarType(), SCIPfixVar(),
1951 * SCIPaggregateVars(), and SCIPmultiaggregateVar()), it can happen that the internal variable array (which is
1952 * accessed via this method) gets resized and/or resorted. This can invalid the data pointer which is returned
1959 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
2004 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
2049 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNBinVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
2094 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNIntVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
2139 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNImplVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
2184 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNContVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
2212 * @note In case of the original problem the number of variables is counted. In case of the transformed problem the
2232 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNObjVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2278 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetFixedVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2321 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNFixedVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2345 /** gets variables of the original problem along with the numbers of different variable types; data may become invalid
2348 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
2371 int* nimplvars, /**< pointer to store number of implicit integral vars or NULL if not needed */
2375 SCIP_CALL( SCIPcheckStage(scip, "SCIPgetOrigVarsData", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2417 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetOrigVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2444 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNOrigVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2471 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNOrigBinVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2498 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNOrigIntVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2525 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNOrigImplVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2552 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNOrigContVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2581 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNTotalVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2609 /** gets variables of the original or transformed problem along with the numbers of different variable types;
2611 * data may become invalid after calls to SCIPchgVarType(), SCIPfixVar(), SCIPaggregateVars(), and
2614 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
2630 SCIP_SOL* sol, /**< primal solution that selects the problem space, NULL for current solution */
2635 int* nimplvars, /**< pointer to store number of implicit integral vars or NULL if not needed */
2639 SCIP_CALL( SCIPcheckStage(scip, "SCIPgetSolVarsData", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2702 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPfindVar", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2733 /** returns TRUE iff all potential variables exist in the problem, and FALSE, if there may be additional variables,
2755 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPallVarsInProb", FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2760 /** adds constraint to the problem; if constraint is only valid locally, it is added to the local subproblem of the
2762 * if a local constraint is added at the root node, it is automatically upgraded into a global constraint
2764 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
2785 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddCons", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE) );
2821 SCIP_CALL( SCIPnodeAddCons(SCIPtreeGetCurrentNode(scip->tree), scip->mem->probmem, scip->set, scip->stat,
2836 /** globally removes constraint from all subproblems; removes constraint from the constraint set change data of the
2839 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
2858 SCIP_CALL( SCIPcheckStage(scip, "SCIPdelCons", FALSE, TRUE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE) );
2864 SCIP_CALL( SCIPconsDelete(cons, scip->mem->probmem, scip->set, scip->stat, scip->origprob, scip->reopt) );
2867 /* only added constraints can be removed in (de-)initialization process of presolving, otherwise the reduction
2879 SCIP_CALL( SCIPconsDelete(cons, scip->mem->probmem, scip->set, scip->stat, scip->transprob, scip->reopt) );
2913 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPfindOrigCons", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2964 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPfindCons", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
3012 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNUpgrConss", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3054 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNConss", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3093 * @warning If your are using the method SCIPaddCons(), it can happen that the internal constraint array (which is
3094 * accessed via this method) gets resized. This can invalid the pointer which is returned by this method.
3100 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetConss", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3146 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNOrigConss", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
3173 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetOrigConss", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
3178 /** computes the number of check constraint in the current node (loop over all constraint handler and cumulates the
3201 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNCheckConss", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3209 /* loop over all constraint handler and collect the number of constraints which need to be checked */
3225 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3252 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddConflict", FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3273 SCIP_CALL( SCIPconflictstoreAddConflict(scip->conflictstore, scip->mem->probmem, scip->set, scip->stat, scip->tree,
3285 /** tries to remove conflicts depending on an old cutoff bound if the improvement of the new incumbent is good enough
3287 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3304 SCIP_CALL( SCIPcheckStage(scip, "SCIPclearConflictStore", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3306 SCIP_CALL( SCIPconflictstoreCleanNewIncumbent(scip->conflictstore, scip->set, scip->stat, scip->mem->probmem,
3312 /** adds constraint to the given node (and all of its subnodes), even if it is a global constraint;
3313 * It is sometimes desirable to add the constraint to a more local node (i.e., a node of larger depth) even if
3314 * the constraint is also valid higher in the tree, for example, if one wants to produce a constraint which is
3316 * In this case, one should pass the more global node where the constraint is valid as "validnode".
3317 * Note that the same constraint cannot be added twice to the branching tree with different "validnode" parameters.
3318 * If the constraint is valid at the same node as it is inserted (the usual case), one should pass NULL as "validnode".
3319 * If the "validnode" is the root node, it is automatically upgraded into a global constraint, but still only added to
3320 * the given node. If a local constraint is added to the root node, it is added to the global problem instead.
3322 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3341 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddConsNode", FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3356 SCIPerrorMessage("constraint <%s> is already marked to be valid in depth %d - cannot mark it to be valid in depth %d\n",
3373 SCIP_CALL( SCIPnodeAddCons(node, scip->mem->probmem, scip->set, scip->stat, scip->tree, cons) );
3379 /** adds constraint locally to the current node (and all of its subnodes), even if it is a global constraint;
3380 * It is sometimes desirable to add the constraint to a more local node (i.e., a node of larger depth) even if
3381 * the constraint is also valid higher in the tree, for example, if one wants to produce a constraint which is
3384 * If the constraint is valid at the same node as it is inserted (the usual case), one should pass NULL as "validnode".
3385 * If the "validnode" is the root node, it is automatically upgraded into a global constraint, but still only added to
3386 * the given node. If a local constraint is added to the root node, it is added to the global problem instead.
3388 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3397 * @note The same constraint cannot be added twice to the branching tree with different "validnode" parameters. This is
3398 * the case due to internal data structures and performance issues. In such a case you should try to realize your
3399 * issue using the method SCIPdisableCons() and SCIPenableCons() and control these via the event system of SCIP.
3409 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddConsLocal", FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3416 /** disables constraint's separation, enforcing, and propagation capabilities at the given node (and all subnodes);
3417 * if the method is called at the root node, the constraint is globally deleted from the problem;
3418 * the constraint deletion is being remembered at the given node, s.t. after leaving the node's subtree, the constraint
3419 * is automatically enabled again, and after entering the node's subtree, it is automatically disabled;
3420 * this may improve performance because redundant checks on this constraint are avoided, but it consumes memory;
3423 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3440 SCIP_CALL( SCIPcheckStage(scip, "SCIPdelConsNode", FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3442 /* only added constraints can be removed in (de-)initialization process of presolving, otherwise the reduction
3445 if( scip->set->stage == SCIP_STAGE_INITPRESOLVE || scip->set->stage == SCIP_STAGE_EXITPRESOLVE )
3450 SCIP_CALL( SCIPconsDelete(cons, scip->mem->probmem, scip->set, scip->stat, scip->transprob, scip->reopt) );
3454 SCIP_CALL( SCIPnodeDelCons(node, scip->mem->probmem, scip->set, scip->stat, scip->tree, cons) );
3460 /** disables constraint's separation, enforcing, and propagation capabilities at the current node (and all subnodes);
3461 * if the method is called during problem modification or at the root node, the constraint is globally deleted from
3463 * the constraint deletion is being remembered at the current node, s.t. after leaving the current subtree, the
3464 * constraint is automatically enabled again, and after reentering the current node's subtree, it is automatically
3466 * this may improve performance because redundant checks on this constraint are avoided, but it consumes memory;
3469 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3491 SCIP_CALL( SCIPcheckStage(scip, "SCIPdelConsLocal", FALSE, TRUE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3497 SCIP_CALL( SCIPconsDelete(cons, scip->mem->probmem, scip->set, scip->stat, scip->origprob, scip->reopt) );
3500 /* only added constraints can be removed in (de-)initialization process of presolving, otherwise the reduction
3514 SCIP_CALL( SCIPconsDelete(cons, scip->mem->probmem, scip->set, scip->stat, scip->transprob, scip->reopt) );
3518 SCIP_CALL( SCIPnodeDelCons(node, scip->mem->probmem, scip->set, scip->stat, scip->tree, cons) );
3530 * @return estimate of best primal solution w.r.t. original problem contained in current subtree
3541 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetLocalOrigEstimate", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3544 return node != NULL ? SCIPprobExternObjval(scip->transprob, scip->origprob, scip->set, SCIPnodeGetEstimate(node)) : SCIP_INVALID;
3547 /** gets estimate of best primal solution w.r.t. transformed problem contained in current subtree
3549 * @return estimate of best primal solution w.r.t. transformed problem contained in current subtree
3560 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetLocalTransEstimate", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3580 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetLocalDualbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3583 return node != NULL ? SCIPprobExternObjval(scip->transprob, scip->origprob, scip->set, SCIPnodeGetLowerbound(node)) : SCIP_INVALID;
3599 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetLocalLowerbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3618 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNodeDualbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3620 return SCIPprobExternObjval(scip->transprob, scip->origprob, scip->set, SCIPnodeGetLowerbound(node));
3635 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNodeLowerbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3640 /** if given value is tighter (larger for minimization, smaller for maximization) than the current node's dual bound (in
3643 * @note the given new bound has to be a dual bound, i.e., it has to be valid for the original problem.
3645 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3659 SCIP_CALL( SCIPcheckStage(scip, "SCIPupdateLocalDualbound", FALSE, TRUE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3664 /* since no root node, for which we could update the dual bound, has been create yet, update the dual bound stored in
3672 /* since no root node, for which we could update the dual bound, has been create yet, update the dual bound stored in
3675 SCIPprobUpdateDualbound(scip->transprob, SCIPprobExternObjval(scip->transprob, scip->origprob, scip->set, newbound));
3679 SCIP_CALL( SCIPupdateNodeLowerbound(scip, SCIPtreeGetCurrentNode(scip->tree), SCIPprobInternObjval(scip->transprob, scip->origprob, scip->set, newbound)) );
3691 /** if given value is larger than the current node's lower bound (in transformed problem), sets the current node's
3694 * @note the given new bound has to be a lower bound, i.e., it has to be valid for the transformed problem.
3696 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3709 SCIP_CALL( SCIPcheckStage(scip, "SCIPupdateLocalLowerbound", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3715 /* since no root node, for which we could update the lower bound, has been created yet, update the dual bound stored
3718 SCIPprobUpdateDualbound(scip->transprob, SCIPprobExternObjval(scip->transprob, scip->origprob, scip->set, newbound));
3734 /** if given value is tighter (larger for minimization, smaller for maximization) than the node's dual bound,
3737 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3749 SCIP_CALL( SCIPcheckStage(scip, "SCIPupdateNodeDualbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3751 SCIP_CALL( SCIPupdateNodeLowerbound(scip, node, SCIPprobInternObjval(scip->transprob, scip->origprob, scip->set, newbound)) );
3756 /** if given value is larger than the node's lower bound (in transformed problem), sets the node's lower bound
3759 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3771 SCIP_CALL( SCIPcheckStage(scip, "SCIPupdateNodeLowerbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3773 SCIPnodeUpdateLowerbound(node, scip->stat, scip->set, scip->tree, scip->transprob, scip->origprob, newbound);
3777 * If the node is an inner node (,not a child node,) we need to cutoff the node manually if we exceed the
3778 * cutoffbound. This is only relevant if a user updates the lower bound; in the main solving process of SCIP the
3779 * lowerbound is only changed before branching and the given node is always a child node. Therefore, we only check
3784 SCIP_CALL( SCIPnodeCutoff(node, scip->set, scip->stat, scip->tree, scip->transprob, scip->origprob, scip->reopt,
3793 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3805 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:3294
void SCIPfreeRandom(SCIP *scip, SCIP_RANDNUMGEN **randnumgen)
Definition: scip_randnumgen.c:79
Definition: type_conflict.h:61
SCIP_RETCODE SCIPconsDelete(SCIP_CONS *cons, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *prob, SCIP_REOPT *reopt)
Definition: cons.c:6355
SCIP_RETCODE SCIPenableReoptimization(SCIP *scip, SCIP_Bool enable)
Definition: scip_solve.c:3168
Definition: type_tree.h:42
Definition: type_result.h:42
SCIP_RETCODE SCIPpricerDeactivate(SCIP_PRICER *pricer, SCIP_SET *set)
Definition: pricer.c:373
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:4562
Definition: struct_scip.h:68
static SCIP_RETCODE writeProblem(SCIP *scip, const char *filename, const char *extension, SCIP_Bool transformed, SCIP_Bool genericnames)
Definition: scip_prob.c:498
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:2628
Definition: type_prob.h:47
public methods for memory management
SCIP_RETCODE SCIPaddOrigObjoffset(SCIP *scip, SCIP_Real addval)
Definition: scip_prob.c:1298
#define SCIPallocClearBufferArray(scip, ptr, num)
Definition: scip_mem.h:126
SCIP_Real SCIPgetLocalTransEstimate(SCIP *scip)
Definition: scip_prob.c:3554
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:17679
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:1651
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:3432
public methods for timing
void SCIPprobAddObjoffset(SCIP_PROB *prob, SCIP_Real addval)
Definition: prob.c:1440
Definition: struct_var.h:207
void SCIPsplitFilename(char *filename, char **path, char **name, char **extension, char **compression)
Definition: misc.c:11007
SCIP_RETCODE SCIPprintTransProblem(SCIP *scip, FILE *file, const char *extension, SCIP_Bool genericnames)
Definition: scip_solvingstats.c:2383
SCIP_RETCODE SCIPbendersDeactivate(SCIP_BENDERS *benders, SCIP_SET *set)
Definition: benders.c:2607
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:1874
Definition: type_message.h:54
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:4554
SCIP_RETCODE SCIPchgReoptObjective(SCIP *scip, SCIP_OBJSENSE objsense, SCIP_VAR **vars, SCIP_Real *coefs, int nvars)
Definition: scip_prob.c:1127
void SCIPrandomPermuteArray(SCIP_RANDNUMGEN *randnumgen, void **array, int begin, int end)
Definition: misc.c:10090
void SCIPprobSetExitsol(SCIP_PROB *prob, SCIP_DECL_PROBEXITSOL((*probexitsol)))
Definition: prob.c:387
SCIP_RETCODE SCIPwriteOrigProblem(SCIP *scip, const char *filename, const char *extension, SCIP_Bool genericnames)
Definition: scip_prob.c:609
Definition: struct_misc.h:268
SCIP_Real SCIPprobInternObjval(SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_SET *set, SCIP_Real objval)
Definition: prob.c:2138
SCIP_RETCODE SCIPsetProbData(SCIP *scip, SCIP_PROBDATA *probdata)
Definition: scip_prob.c:1022
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:2365
#define SCIPduplicateBufferArray(scip, ptr, source, num)
Definition: scip_mem.h:132
Definition: type_retcode.h:47
Definition: type_message.h:55
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:132
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:3799
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:409
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:1188
void SCIPprobSetInitsol(SCIP_PROB *prob, SCIP_DECL_PROBINITSOL((*probinitsol)))
Definition: prob.c:376
void SCIPprobSetCopy(SCIP_PROB *prob, SCIP_DECL_PROBCOPY((*probcopy)))
Definition: prob.c:398
SCIP_RETCODE SCIPdelVar(SCIP *scip, SCIP_VAR *var, SCIP_Bool *deleted)
Definition: scip_prob.c:1798
public methods for managing constraints
SCIP_RETCODE SCIPsetObjsense(SCIP *scip, SCIP_OBJSENSE objsense)
Definition: scip_prob.c:1250
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:1071
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:2365
void SCIPprobSetObjsense(SCIP_PROB *prob, SCIP_OBJSENSE objsense)
Definition: prob.c:1427
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:789
SCIP_RETCODE SCIPaddConsLocal(SCIP *scip, SCIP_CONS *cons, SCIP_NODE *validnode)
Definition: scip_prob.c:3401
SCIP_CONS * SCIPprobFindCons(SCIP_PROB *prob, const char *name)
Definition: prob.c:2179
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:3482
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:2187
SCIP_CONS * SCIPfindOrigCons(SCIP *scip, const char *name)
Definition: scip_prob.c:2906
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:3613
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:2339
SCIP_RETCODE SCIPprobSetName(SCIP_PROB *prob, const char *name)
Definition: prob.c:1981
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:264
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:3331
SCIP_RETCODE SCIPchgVarObj(SCIP *scip, SCIP_VAR *var, SCIP_Real newobj)
Definition: scip_var.c:4513
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:53
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:789
int SCIPtreeGetEffectiveRootDepth(SCIP_TREE *tree)
Definition: tree.c:8435
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:656
SCIP_RETCODE SCIPsetObjlimit(SCIP *scip, SCIP_Real objlimit)
Definition: scip_prob.c:1430
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:3743
SCIP_RETCODE SCIPupdateNodeLowerbound(SCIP *scip, SCIP_NODE *node, SCIP_Real newbound)
Definition: scip_prob.c:3765
internal methods for input file readers
Definition: type_var.h:55
void SCIPprobSetTrans(SCIP_PROB *prob, SCIP_DECL_PROBTRANS((*probtrans)))
Definition: prob.c:354
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:3654
void SCIPdecompstoreFree(SCIP_DECOMPSTORE **decompstore, BMS_BLKMEM *blkmem)
Definition: dcmp.c:554
Definition: type_set.h:54
datastructures for problem statistics
Definition: type_set.h:51
int SCIPconshdlrGetNActiveConss(SCIP_CONSHDLR *conshdlr)
Definition: cons.c:4631
helper functions for concurrent scip solvers
Definition: type_retcode.h:48
SCIP_RETCODE SCIPsyncstoreExit(SCIP_SYNCSTORE *syncstore)
Definition: syncstore.c:200
SCIP_RETCODE SCIPupdateLocalLowerbound(SCIP *scip, SCIP_Real newbound)
Definition: scip_prob.c:3704
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:1741
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:1103
public methods for solutions
public methods for random numbers
SCIP_RETCODE SCIPreleaseCons(SCIP *scip, SCIP_CONS **cons)
Definition: scip_cons.c:1119
public methods for message output
data structures for LP management
void SCIPprobUpdateDualbound(SCIP_PROB *prob, SCIP_Real newbound)
Definition: prob.c:1568
void SCIPprobSetDelorig(SCIP_PROB *prob, SCIP_DECL_PROBDELORIG((*probdelorig)))
Definition: prob.c:343
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:4617
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:1608
Definition: type_retcode.h:54
Definition: type_set.h:53
SCIP_Real SCIPgetNodeLowerbound(SCIP *scip, SCIP_NODE *node)
Definition: scip_prob.c:3630
void SCIPprobSetDeltrans(SCIP_PROB *prob, SCIP_DECL_PROBDELTRANS((*probdeltrans)))
Definition: prob.c:365
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:2116
SCIP_RETCODE SCIPprobAddCons(SCIP_PROB *prob, SCIP_SET *set, SCIP_STAT *stat, SCIP_CONS *cons)
Definition: prob.c:1286
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:1010
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:3236
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:2443
SCIP_RETCODE SCIPaddObjoffset(SCIP *scip, SCIP_Real addval)
Definition: scip_prob.c:1276
Definition: type_set.h:47
datastructures for global SCIP settings
SCIP_RETCODE SCIPdecompstoreCreate(SCIP_DECOMPSTORE **decompstore, BMS_BLKMEM *blkmem, int nslots)
Definition: dcmp.c:499
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:937
memory allocation routines
Definition: type_var.h:67