scip_prob.c
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34 /*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
87 /** creates empty problem and initializes all solving data structures (the objective sense is set to MINIMIZE)
88 * If the problem type requires the use of variable pricers, these pricers should be added to the problem with calls
89 * to SCIPactivatePricer(). These pricers are automatically deactivated, when the problem is freed.
91 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
111 SCIP_DECL_PROBTRANS ((*probtrans)), /**< creates user data of transformed problem by transforming original user data */
113 SCIP_DECL_PROBINITSOL ((*probinitsol)), /**< solving process initialization method of transformed data */
114 SCIP_DECL_PROBEXITSOL ((*probexitsol)), /**< solving process deinitialization method of transformed data */
115 SCIP_DECL_PROBCOPY ((*probcopy)), /**< copies user data if you want to copy it to a subscip, or NULL */
119 SCIP_CALL( SCIPcheckStage(scip, "SCIPcreateProb", TRUE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, TRUE) );
128 SCIP_CALL( SCIPstatCreate(&scip->stat, scip->mem->probmem, scip->set, NULL, NULL, scip->messagehdlr) );
142 SCIP_CALL( SCIPdecompstoreCreate(&scip->decompstore, SCIPblkmem(scip), SCIP_DECOMPSTORE_CAPA) );
147 /** creates empty problem and initializes all solving data structures (the objective sense is set to MINIMIZE)
148 * all callback methods will be set to NULL and can be set afterwards, if needed, via SCIPsetProbDelorig(),
151 * If the problem type requires the use of variable pricers, these pricers should be added to the problem with calls
152 * to SCIPactivatePricer(). These pricers are automatically deactivated, when the problem is freed.
154 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
175 SCIP_CALL( SCIPcheckStage(scip, "SCIPcreateProbBasic", TRUE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, TRUE) );
184 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
196 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetProbDelorig", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
205 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
213 SCIP_DECL_PROBTRANS ((*probtrans)) /**< creates user data of transformed problem by transforming original user data */
217 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetProbTrans", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
226 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
238 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetProbDeltrans", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
247 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
255 SCIP_DECL_PROBINITSOL ((*probinitsol)) /**< solving process initialization method of transformed data */
260 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetProbInitsol", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
269 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
277 SCIP_DECL_PROBEXITSOL ((*probexitsol)) /**< solving process deinitialization method of transformed data */
281 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetProbExitsol", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
290 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
298 SCIP_DECL_PROBCOPY ((*probcopy)) /**< copies user data if you want to copy it to a subscip, or NULL */
302 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetProbCopy", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
311 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
347 SCIP_CALL( SCIPcheckStage(scip, "SCIPreadProb", TRUE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
354 SCIPerrorMessage("Cannot read problem if vartable or constable is disabled. Make sure parameters 'misc/usevartable' and 'misc/useconstable' are set to TRUE.\n");
407 /* loop over all constraints and constraint-handlers to count for each type the amount of original
448 SCIP_CALL( SCIPpermuteProb(scip, (unsigned int)permutationseed, permuteconss, permutevars, permutevars, permutevars, permutevars) );
535 SCIPmessagePrintWarning(scip->messagehdlr, "currently it is not possible to write files with any compression\n");
543 SCIPmessagePrintWarning(scip->messagehdlr, "filename <%s> has no file extension, select default <cip> format for writing\n", filename);
547 retcode = SCIPprintTransProblem(scip, file, extension != NULL ? extension : fileextension, genericnames);
549 retcode = SCIPprintOrigProblem(scip, file, extension != NULL ? extension : fileextension, genericnames);
582 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
609 SCIP_CALL( SCIPcheckStage(scip, "SCIPwriteOrigProblem", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
617 if( retcode == SCIP_FILECREATEERROR || retcode == SCIP_WRITEERROR || retcode == SCIP_PLUGINNOTFOUND )
629 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
643 * @note If you want the write all constraints (including the once which are redundant for example), you need to set
656 SCIP_CALL( SCIPcheckStage(scip, "SCIPwriteTransProblem", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
664 if( retcode == SCIP_FILECREATEERROR || retcode == SCIP_WRITEERROR || retcode == SCIP_PLUGINNOTFOUND )
676 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
698 SCIP_CALL( SCIPcheckStage(scip, "SCIPfreeProb", TRUE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, TRUE) );
700 /* if we free the problem, we do not have to transfer transformed solutions to the original space, so temporarily disable it */
743 /* free original primal solution candidate pool, original problem and problem statistics data structures */
749 SCIP_CALL( SCIPconflictstoreFree(&scip->conflictstore, scip->mem->probmem, scip->set, scip->stat, scip->reopt) );
751 SCIP_CALL( SCIPprobFree(&scip->origprob, scip->messagehdlr, scip->mem->probmem, scip->set, scip->stat, scip->eventqueue, scip->lp) );
770 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
782 SCIP_Bool permuteconss, /**< should the list of constraints in each constraint handler be permuted? */
801 SCIP_CALL( SCIPcheckStage(scip, "SCIPpermuteProb", FALSE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
815 /* The constraint handler should not be permuted since they are called w.r.t. to certain properties; besides
816 * that the "conshdlrs" array should stay in the order as it is since this array is used to copy the plugins for
817 * sub-SCIPs and contains the dependencies between the constraint handlers; for example the linear constraint
818 * handler stays in front of all constraint handler which can upgrade a linear constraint (such as logicor,
896 SCIPrandomPermuteArray(randnumgen, (void**)vars, nbinvars+nintvars, nbinvars+nintvars+nimplvars);
966 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetProbData", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
995 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1017 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetProbData", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
1069 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetProbName", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
1076 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1098 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetProbName", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
1105 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1112 * @note This method should be only used to change the objective function during two reoptimization runs and is only
1115 * @note All variables not given in \p vars array are assumed to have an objective coefficient of zero.
1129 SCIP_CALL( SCIPcheckStage(scip, "SCIPchgReoptObjective", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
1142 SCIPdebugMsg(scip, "%s%g <%s> ", SCIPisPositive(scip, coefs[i]) ? "+" : "", coefs[i], SCIPvarGetName(vars[i]));
1147 /* Set all coefficients of original variables to 0, since we will add the new objective coefficients later. */
1155 /* In order to avoid numerical troubles, also explicitly set all transformed objective coefficients to 0. */
1187 /* Add coefficients because this gets transferred to the transformed problem (the coefficients were set to 0 above). */
1197 SCIPdebugMsg(scip, "%s%g <%s> ", SCIPisPositive(scip, objval) ? "+" : "", objval, SCIPvarGetName(origvars[i]));
1227 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetObjsense", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
1234 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1245 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetObjsense", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
1260 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1271 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddObjoffset", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
1274 SCIP_CALL( SCIPprimalUpdateObjoffset(scip->primal, SCIPblkmem(scip), scip->set, scip->stat, scip->eventfilter,
1280 /** adds offset of objective function to original problem and to all existing solution in original space
1282 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1293 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddOrigObjoffset", FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE) );
1321 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetOrigObjoffset", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1346 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetOrigObjscale", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1369 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetTransObjoffset", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1392 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetTransObjscale", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1397 /** sets limit on objective function, such that only solutions better than this limit are accepted
1399 * @note SCIP will only look for solutions with a strictly better objective value, thus, e.g., prune
1401 * However, SCIP will also collect solutions with objective value worse than the objective limit and
1403 * @note If SCIP can prove that there exists no solution with a strictly better objective value, the solving status
1405 * The only exception is that by chance, SCIP found a solution with the same objective value and thus
1408 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1427 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetObjlimit", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1437 if( SCIPtransformObj(scip, objlimit) > SCIPprobInternObjval(scip->transprob, scip->origprob, scip->set, oldobjlimit) && ! scip->set->reopt_enable)
1439 SCIPerrorMessage("cannot relax objective limit from %.15g to %.15g in presolved stage.\n", oldobjlimit, objlimit);
1444 SCIP_CALL( SCIPprimalUpdateObjlimit(scip->primal, scip->mem->probmem, scip->set, scip->stat, scip->eventfilter,
1455 if( SCIPtransformObj(scip, objlimit) > SCIPprobInternObjval(scip->transprob, scip->origprob, scip->set, oldobjlimit) )
1457 SCIPerrorMessage("cannot relax objective limit from %.15g to %.15g after problem was transformed.\n", oldobjlimit, objlimit);
1462 SCIP_CALL( SCIPprimalUpdateObjlimit(scip->primal, scip->mem->probmem, scip->set, scip->stat, scip->eventfilter,
1494 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetObjlimit", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1501 * @return \ref SCIP_OKAY is returned if everything worked. otherwise a suitable error code is passed. see \ref
1511 * @note This function should be used to inform SCIP that the objective function is integral, helping to improve the
1512 * performance. This is useful when using column generation. If no column generation (pricing) is used, SCIP
1513 * automatically detects whether the objective function is integral or can be scaled to be integral. However, in
1514 * any case, the user has to make sure that no variable is added during the solving process that destroys this
1521 SCIP_CALL( SCIPcheckStage(scip, "SCIPsetObjIntegral", FALSE, TRUE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1555 * @note If no pricing is performed, SCIP automatically detects whether the objective function is integral or can be
1556 * scaled to be integral, helping to improve performance. This function returns the result. Otherwise
1557 * SCIPsetObjIntegral() can be used to inform SCIP. However, in any case, the user has to make sure that no
1566 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPisObjIntegral", FALSE, TRUE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1571 /* if the user explicitly added the information that there is an integral objective, return TRUE */
1575 /* if there exist unknown variables, we cannot conclude that the objective value is always integral */
1594 /* if variable's objective value is fractional, the problem's objective value may also be fractional */
1598 /* if variable with non-zero objective value is continuous, the problem's objective value may be fractional */
1624 /** returns the Euclidean norm of the objective function vector (available only for transformed problem)
1643 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetObjNorm", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1654 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1671 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddVar", FALSE, TRUE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1693 SCIP_CALL( SCIPprobAddVar(scip->origprob, scip->mem->probmem, scip->set, scip->lp, scip->branchcand,
1709 else if( SCIPvarGetStatus(var) != SCIP_VARSTATUS_LOOSE && SCIPvarGetStatus(var) != SCIP_VARSTATUS_COLUMN )
1726 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1737 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddPricedVar", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1756 else if( SCIPvarGetStatus(var) != SCIP_VARSTATUS_LOOSE && SCIPvarGetStatus(var) != SCIP_VARSTATUS_COLUMN )
1766 SCIP_CALL( SCIPpricestoreAddVar(scip->pricestore, scip->mem->probmem, scip->set, scip->eventqueue, scip->lp, var, score,
1774 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1784 * @warning The variable is not deleted from the constraints when in SCIP_STAGE_PROBLEM. In this stage, it is the
1785 * user's responsibility to ensure the variable has been removed from all constraints or the constraints
1791 SCIP_Bool* deleted /**< pointer to store whether marking variable to be deleted was successful */
1798 SCIP_CALL( SCIPcheckStage(scip, "SCIPdelVar", FALSE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE) );
1808 SCIP_CALL( SCIPprobDelVar(scip->origprob, scip->mem->probmem, scip->set, scip->eventqueue, var, deleted) );
1811 SCIP_CALL( SCIPprobPerformVarDeletions(scip->origprob, scip->mem->probmem, scip->set, scip->stat, scip->eventqueue, scip->cliquetable, scip->lp, scip->branchcand) );
1824 else if( SCIPvarGetStatus(var) != SCIP_VARSTATUS_LOOSE && SCIPvarGetStatus(var) != SCIP_VARSTATUS_COLUMN )
1830 SCIP_CALL( SCIPprobDelVar(scip->transprob, scip->mem->probmem, scip->set, scip->eventqueue, var, deleted) );
1834 /* in FREETRANS stage, we don't need to remove the variable, because the transformed problem is freed anyways */
1844 /** gets variables of the problem along with the numbers of different variable types; data may become invalid after
1847 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1862 * @note Variables in the vars array are ordered: binaries first, then integers, implicit integers and continuous last.
1870 int* nimplvars, /**< pointer to store number of implicit integral vars or NULL if not needed */
1874 SCIP_CALL( SCIPcheckStage(scip, "SCIPgetVarsData", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1938 * @note Variables in the array are ordered: binaries first, then integers, implicit integers and continuous last.
1940 * @warning If your are using the methods which add or change bound of variables (e.g., SCIPchgVarType(), SCIPfixVar(),
1941 * SCIPaggregateVars(), and SCIPmultiaggregateVar()), it can happen that the internal variable array (which is
1942 * accessed via this method) gets resized and/or resorted. This can invalid the data pointer which is returned
1949 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1994 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
2039 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNBinVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
2084 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNIntVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
2129 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNImplVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
2174 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNContVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
2202 * @note In case of the original problem the number of variables is counted. In case of the transformed problem the
2222 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNObjVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2268 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetFixedVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2311 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNFixedVars", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2335 /** gets variables of the original problem along with the numbers of different variable types; data may become invalid
2338 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
2361 int* nimplvars, /**< pointer to store number of implicit integral vars or NULL if not needed */
2365 SCIP_CALL( SCIPcheckStage(scip, "SCIPgetOrigVarsData", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2407 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetOrigVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2434 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNOrigVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2461 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNOrigBinVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2488 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNOrigIntVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2515 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNOrigImplVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2542 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNOrigContVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2571 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNTotalVars", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2599 /** gets variables of the original or transformed problem along with the numbers of different variable types;
2601 * data may become invalid after calls to SCIPchgVarType(), SCIPfixVar(), SCIPaggregateVars(), and
2604 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
2620 SCIP_SOL* sol, /**< primal solution that selects the problem space, NULL for current solution */
2625 int* nimplvars, /**< pointer to store number of implicit integral vars or NULL if not needed */
2629 SCIP_CALL( SCIPcheckStage(scip, "SCIPgetSolVarsData", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2692 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPfindVar", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2723 /** returns TRUE iff all potential variables exist in the problem, and FALSE, if there may be additional variables,
2745 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPallVarsInProb", FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2750 /** adds constraint to the problem; if constraint is only valid locally, it is added to the local subproblem of the
2752 * if a local constraint is added at the root node, it is automatically upgraded into a global constraint
2754 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
2775 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddCons", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE) );
2811 SCIP_CALL( SCIPnodeAddCons(SCIPtreeGetCurrentNode(scip->tree), scip->mem->probmem, scip->set, scip->stat,
2826 /** globally removes constraint from all subproblems; removes constraint from the constraint set change data of the
2829 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
2848 SCIP_CALL( SCIPcheckStage(scip, "SCIPdelCons", FALSE, TRUE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE) );
2854 SCIP_CALL( SCIPconsDelete(cons, scip->mem->probmem, scip->set, scip->stat, scip->origprob, scip->reopt) );
2857 /* only added constraints can be removed in (de-)initialization process of presolving, otherwise the reduction
2869 SCIP_CALL( SCIPconsDelete(cons, scip->mem->probmem, scip->set, scip->stat, scip->transprob, scip->reopt) );
2903 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPfindOrigCons", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2954 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPfindCons", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
3002 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNUpgrConss", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3044 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNConss", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3083 * @warning If your are using the method SCIPaddCons(), it can happen that the internal constraint array (which is
3084 * accessed via this method) gets resized. This can invalid the pointer which is returned by this method.
3090 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetConss", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3136 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNOrigConss", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
3163 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetOrigConss", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
3168 /** computes the number of check constraint in the current node (loop over all constraint handler and cumulates the
3191 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNCheckConss", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3199 /* loop over all constraint handler and collect the number of constraints which need to be checked */
3215 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3242 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddConflict", FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3263 SCIP_CALL( SCIPconflictstoreAddConflict(scip->conflictstore, scip->mem->probmem, scip->set, scip->stat, scip->tree,
3275 /** tries to remove conflicts depending on an old cutoff bound if the improvement of the new incumbent is good enough
3277 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3294 SCIP_CALL( SCIPcheckStage(scip, "SCIPclearConflictStore", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3296 SCIP_CALL( SCIPconflictstoreCleanNewIncumbent(scip->conflictstore, scip->set, scip->stat, scip->mem->probmem,
3302 /** adds constraint to the given node (and all of its subnodes), even if it is a global constraint;
3303 * It is sometimes desirable to add the constraint to a more local node (i.e., a node of larger depth) even if
3304 * the constraint is also valid higher in the tree, for example, if one wants to produce a constraint which is
3306 * In this case, one should pass the more global node where the constraint is valid as "validnode".
3307 * Note that the same constraint cannot be added twice to the branching tree with different "validnode" parameters.
3308 * If the constraint is valid at the same node as it is inserted (the usual case), one should pass NULL as "validnode".
3309 * If the "validnode" is the root node, it is automatically upgraded into a global constraint, but still only added to
3310 * the given node. If a local constraint is added to the root node, it is added to the global problem instead.
3312 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3331 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddConsNode", FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3346 SCIPerrorMessage("constraint <%s> is already marked to be valid in depth %d - cannot mark it to be valid in depth %d\n",
3363 SCIP_CALL( SCIPnodeAddCons(node, scip->mem->probmem, scip->set, scip->stat, scip->tree, cons) );
3369 /** adds constraint locally to the current node (and all of its subnodes), even if it is a global constraint;
3370 * It is sometimes desirable to add the constraint to a more local node (i.e., a node of larger depth) even if
3371 * the constraint is also valid higher in the tree, for example, if one wants to produce a constraint which is
3374 * If the constraint is valid at the same node as it is inserted (the usual case), one should pass NULL as "validnode".
3375 * If the "validnode" is the root node, it is automatically upgraded into a global constraint, but still only added to
3376 * the given node. If a local constraint is added to the root node, it is added to the global problem instead.
3378 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3387 * @note The same constraint cannot be added twice to the branching tree with different "validnode" parameters. This is
3388 * the case due to internal data structures and performance issues. In such a case you should try to realize your
3389 * issue using the method SCIPdisableCons() and SCIPenableCons() and control these via the event system of SCIP.
3399 SCIP_CALL( SCIPcheckStage(scip, "SCIPaddConsLocal", FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3406 /** disables constraint's separation, enforcing, and propagation capabilities at the given node (and all subnodes);
3407 * if the method is called at the root node, the constraint is globally deleted from the problem;
3408 * the constraint deletion is being remembered at the given node, s.t. after leaving the node's subtree, the constraint
3409 * is automatically enabled again, and after entering the node's subtree, it is automatically disabled;
3410 * this may improve performance because redundant checks on this constraint are avoided, but it consumes memory;
3413 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3430 SCIP_CALL( SCIPcheckStage(scip, "SCIPdelConsNode", FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3432 /* only added constraints can be removed in (de-)initialization process of presolving, otherwise the reduction
3435 if( scip->set->stage == SCIP_STAGE_INITPRESOLVE || scip->set->stage == SCIP_STAGE_EXITPRESOLVE )
3440 SCIP_CALL( SCIPconsDelete(cons, scip->mem->probmem, scip->set, scip->stat, scip->transprob, scip->reopt) );
3444 SCIP_CALL( SCIPnodeDelCons(node, scip->mem->probmem, scip->set, scip->stat, scip->tree, cons) );
3450 /** disables constraint's separation, enforcing, and propagation capabilities at the current node (and all subnodes);
3451 * if the method is called during problem modification or at the root node, the constraint is globally deleted from
3453 * the constraint deletion is being remembered at the current node, s.t. after leaving the current subtree, the
3454 * constraint is automatically enabled again, and after reentering the current node's subtree, it is automatically
3456 * this may improve performance because redundant checks on this constraint are avoided, but it consumes memory;
3459 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3481 SCIP_CALL( SCIPcheckStage(scip, "SCIPdelConsLocal", FALSE, TRUE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3487 SCIP_CALL( SCIPconsDelete(cons, scip->mem->probmem, scip->set, scip->stat, scip->origprob, scip->reopt) );
3490 /* only added constraints can be removed in (de-)initialization process of presolving, otherwise the reduction
3504 SCIP_CALL( SCIPconsDelete(cons, scip->mem->probmem, scip->set, scip->stat, scip->transprob, scip->reopt) );
3508 SCIP_CALL( SCIPnodeDelCons(node, scip->mem->probmem, scip->set, scip->stat, scip->tree, cons) );
3520 * @return estimate of best primal solution w.r.t. original problem contained in current subtree
3531 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetLocalOrigEstimate", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3534 return node != NULL ? SCIPprobExternObjval(scip->transprob, scip->origprob, scip->set, SCIPnodeGetEstimate(node)) : SCIP_INVALID;
3537 /** gets estimate of best primal solution w.r.t. transformed problem contained in current subtree
3539 * @return estimate of best primal solution w.r.t. transformed problem contained in current subtree
3550 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetLocalTransEstimate", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3570 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetLocalDualbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3573 return node != NULL ? SCIPprobExternObjval(scip->transprob, scip->origprob, scip->set, SCIPnodeGetLowerbound(node)) : SCIP_INVALID;
3589 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetLocalLowerbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3608 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNodeDualbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3610 return SCIPprobExternObjval(scip->transprob, scip->origprob, scip->set, SCIPnodeGetLowerbound(node));
3625 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNodeLowerbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3630 /** if given value is tighter (larger for minimization, smaller for maximization) than the current node's dual bound (in
3633 * @note the given new bound has to be a dual bound, i.e., it has to be valid for the original problem.
3635 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3649 SCIP_CALL( SCIPcheckStage(scip, "SCIPupdateLocalDualbound", FALSE, TRUE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3654 /* since no root node, for which we could update the dual bound, has been create yet, update the dual bound stored in
3662 /* since no root node, for which we could update the dual bound, has been create yet, update the dual bound stored in
3665 SCIPprobUpdateDualbound(scip->transprob, SCIPprobExternObjval(scip->transprob, scip->origprob, scip->set, newbound));
3669 SCIP_CALL( SCIPupdateNodeLowerbound(scip, SCIPtreeGetCurrentNode(scip->tree), SCIPprobInternObjval(scip->transprob, scip->origprob, scip->set, newbound)) );
3681 /** if given value is larger than the current node's lower bound (in transformed problem), sets the current node's
3684 * @note the given new bound has to be a lower bound, i.e., it has to be valid for the transformed problem.
3686 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3699 SCIP_CALL( SCIPcheckStage(scip, "SCIPupdateLocalLowerbound", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3705 /* since no root node, for which we could update the lower bound, has been created yet, update the dual bound stored
3708 SCIPprobUpdateDualbound(scip->transprob, SCIPprobExternObjval(scip->transprob, scip->origprob, scip->set, newbound));
3724 /** if given value is tighter (larger for minimization, smaller for maximization) than the node's dual bound,
3727 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3739 SCIP_CALL( SCIPcheckStage(scip, "SCIPupdateNodeDualbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3741 SCIP_CALL( SCIPupdateNodeLowerbound(scip, node, SCIPprobInternObjval(scip->transprob, scip->origprob, scip->set, newbound)) );
3746 /** if given value is larger than the node's lower bound (in transformed problem), sets the node's lower bound
3749 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3761 SCIP_CALL( SCIPcheckStage(scip, "SCIPupdateNodeLowerbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
3763 SCIPnodeUpdateLowerbound(node, scip->stat, scip->set, scip->tree, scip->transprob, scip->origprob, newbound);
3767 * If the node is an inner node (,not a child node,) we need to cutoff the node manually if we exceed the
3768 * cutoffbound. This is only relevant if a user updates the lower bound; in the main solving process of SCIP the
3769 * lowerbound is only changed before branching and the given node is always a child node. Therefore, we only check
3774 SCIP_CALL( SCIPnodeCutoff(node, scip->set, scip->stat, scip->tree, scip->transprob, scip->origprob, scip->reopt,
3783 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
3795 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:3284
void SCIPfreeRandom(SCIP *scip, SCIP_RANDNUMGEN **randnumgen)
Definition: scip_randnumgen.c:70
Definition: type_conflict.h:52
SCIP_RETCODE SCIPconsDelete(SCIP_CONS *cons, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_PROB *prob, SCIP_REOPT *reopt)
Definition: cons.c:6350
SCIP_RETCODE SCIPenableReoptimization(SCIP *scip, SCIP_Bool enable)
Definition: scip_solve.c:3131
Definition: type_tree.h:33
Definition: type_result.h:33
SCIP_RETCODE SCIPpricerDeactivate(SCIP_PRICER *pricer, SCIP_SET *set)
Definition: pricer.c:364
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:479
public methods for SCIP parameter handling
public methods for branch and bound tree
internal methods for branch and bound tree
Definition: type_var.h:40
SCIP_RETCODE SCIPaddVarObj(SCIP *scip, SCIP_VAR *var, SCIP_Real addobj)
Definition: scip_var.c:4559
Definition: struct_scip.h:59
static SCIP_RETCODE writeProblem(SCIP *scip, const char *filename, const char *extension, SCIP_Bool transformed, SCIP_Bool genericnames)
Definition: scip_prob.c:488
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:2618
Definition: type_prob.h:38
public methods for memory management
SCIP_RETCODE SCIPaddOrigObjoffset(SCIP *scip, SCIP_Real addval)
Definition: scip_prob.c:1288
#define SCIPallocClearBufferArray(scip, ptr, num)
Definition: scip_mem.h:117
SCIP_Real SCIPgetLocalTransEstimate(SCIP *scip)
Definition: scip_prob.c:3544
SCIP_RETCODE SCIPsetProbCopy(SCIP *scip, SCIP_DECL_PROBCOPY((*probcopy)))
Definition: scip_prob.c:296
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:1230
void SCIPlpRecalculateObjSqrNorm(SCIP_SET *set, SCIP_LP *lp)
Definition: lp.c:17609
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:107
Definition: type_result.h:49
SCIP_RETCODE SCIPnodeDelCons(SCIP_NODE *node, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_TREE *tree, SCIP_CONS *cons)
Definition: tree.c:1642
SCIP_Bool SCIPisGE(SCIP *scip, SCIP_Real val1, SCIP_Real val2)
Definition: scip_numerics.c:490
Definition: type_set.h:37
public solving methods
SCIP_RETCODE SCIPdelConsNode(SCIP *scip, SCIP_NODE *node, SCIP_CONS *cons)
Definition: scip_prob.c:3422
public methods for timing
void SCIPprobAddObjoffset(SCIP_PROB *prob, SCIP_Real addval)
Definition: prob.c:1431
Definition: struct_var.h:198
void SCIPsplitFilename(char *filename, char **path, char **name, char **extension, char **compression)
Definition: misc.c:10974
SCIP_RETCODE SCIPprintTransProblem(SCIP *scip, FILE *file, const char *extension, SCIP_Bool genericnames)
Definition: scip_solvingstats.c:2374
SCIP_RETCODE SCIPbendersDeactivate(SCIP_BENDERS *benders, SCIP_SET *set)
Definition: benders.c:2598
SCIP_RETCODE SCIPreoptAddCons(SCIP_REOPT *reopt, SCIP_SET *set, BMS_BLKMEM *blkmem, SCIP_CONS *cons)
Definition: reopt.c:8149
SCIP_RETCODE SCIPgetVarsData(SCIP *scip, SCIP_VAR ***vars, int *nvars, int *nbinvars, int *nintvars, int *nimplvars, int *ncontvars)
Definition: scip_prob.c:1864
Definition: type_message.h:45
SCIP_RETCODE SCIPsetProbExitsol(SCIP *scip, SCIP_DECL_PROBEXITSOL((*probexitsol)))
Definition: scip_prob.c:275
datastructures for constraints and constraint handlers
SCIP_CONS ** SCIPconshdlrGetConss(SCIP_CONSHDLR *conshdlr)
Definition: cons.c:4547
SCIP_RETCODE SCIPchgReoptObjective(SCIP *scip, SCIP_OBJSENSE objsense, SCIP_VAR **vars, SCIP_Real *coefs, int nvars)
Definition: scip_prob.c:1117
void SCIPrandomPermuteArray(SCIP_RANDNUMGEN *randnumgen, void **array, int begin, int end)
Definition: misc.c:10074
void SCIPprobSetExitsol(SCIP_PROB *prob, SCIP_DECL_PROBEXITSOL((*probexitsol)))
Definition: prob.c:378
SCIP_RETCODE SCIPwriteOrigProblem(SCIP *scip, const char *filename, const char *extension, SCIP_Bool genericnames)
Definition: scip_prob.c:599
Definition: struct_misc.h:259
SCIP_Real SCIPprobInternObjval(SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_SET *set, SCIP_Real objval)
Definition: prob.c:2129
SCIP_RETCODE SCIPsetProbData(SCIP *scip, SCIP_PROBDATA *probdata)
Definition: scip_prob.c:1012
SCIP_RETCODE SCIPreoptFree(SCIP_REOPT **reopt, SCIP_SET *set, SCIP_PRIMAL *origprimal, BMS_BLKMEM *blkmem)
Definition: reopt.c:5186
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:2355
#define SCIPduplicateBufferArray(scip, ptr, source, num)
Definition: scip_mem.h:123
Definition: type_retcode.h:38
Definition: type_message.h:46
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:439
internal methods for LP management
Definition: heur_padm.c:123
Definition: struct_tree.h:132
SCIP_RETCODE SCIPcreateProbBasic(SCIP *scip, const char *name)
Definition: scip_prob.c:170
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:736
SCIP_RETCODE SCIPchgChildPrio(SCIP *scip, SCIP_NODE *child, SCIP_Real priority)
Definition: scip_prob.c:3789
public methods for querying solving statistics
Definition: struct_sol.h:64
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:400
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:1179
void SCIPprobSetInitsol(SCIP_PROB *prob, SCIP_DECL_PROBINITSOL((*probinitsol)))
Definition: prob.c:367
void SCIPprobSetCopy(SCIP_PROB *prob, SCIP_DECL_PROBCOPY((*probcopy)))
Definition: prob.c:389
SCIP_RETCODE SCIPdelVar(SCIP *scip, SCIP_VAR *var, SCIP_Bool *deleted)
Definition: scip_prob.c:1788
public methods for managing constraints
SCIP_RETCODE SCIPsetObjsense(SCIP *scip, SCIP_OBJSENSE objsense)
Definition: scip_prob.c:1240
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:1062
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:2356
void SCIPprobSetObjsense(SCIP_PROB *prob, SCIP_OBJSENSE objsense)
Definition: prob.c:1418
Definition: type_retcode.h:36
internal methods for storing and manipulating the main problem
Definition: struct_cons.h:37
void SCIPmessagePrintVerbInfo(SCIP_MESSAGEHDLR *messagehdlr, SCIP_VERBLEVEL verblevel, SCIP_VERBLEVEL msgverblevel, const char *formatstr,...)
Definition: message.c:669
SCIP_Bool SCIPsyncstoreIsInitialized(SCIP_SYNCSTORE *syncstore)
Definition: syncstore.c:775
SCIP_RETCODE SCIPaddConsLocal(SCIP *scip, SCIP_CONS *cons, SCIP_NODE *validnode)
Definition: scip_prob.c:3391
SCIP_CONS * SCIPprobFindCons(SCIP_PROB *prob, const char *name)
Definition: prob.c:2170
Definition: struct_cons.h:117
Definition: type_retcode.h:42
SCIP_RETCODE SCIPreadProb(SCIP *scip, const char *filename, const char *extension)
Definition: scip_prob.c:329
SCIP_RETCODE SCIPdelConsLocal(SCIP *scip, SCIP_CONS *cons)
Definition: scip_prob.c:3472
SCIP_RETCODE SCIPconflictstoreFree(SCIP_CONFLICTSTORE **conflictstore, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_REOPT *reopt)
Definition: conflictstore.c:786
Definition: type_set.h:46
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:2177
SCIP_CONS * SCIPfindOrigCons(SCIP *scip, const char *name)
Definition: scip_prob.c:2896
SCIP_RETCODE SCIPreaderResetReadingTime(SCIP_READER *reader)
Definition: reader.c:619
Definition: type_set.h:47
Definition: type_var.h:42
void SCIPmessagePrintWarning(SCIP_MESSAGEHDLR *messagehdlr, const char *formatstr,...)
Definition: message.c:418
SCIP_Real SCIPgetNodeDualbound(SCIP *scip, SCIP_NODE *node)
Definition: scip_prob.c:3603
SCIP_RETCODE SCIPgetBoolParam(SCIP *scip, const char *name, SCIP_Bool *value)
Definition: scip_param.c:241
SCIP_RETCODE SCIPprintOrigProblem(SCIP *scip, FILE *file, const char *extension, SCIP_Bool genericnames)
Definition: scip_solvingstats.c:2330
SCIP_RETCODE SCIPprobSetName(SCIP_PROB *prob, const char *name)
Definition: prob.c:1972
Definition: type_set.h:43
Definition: type_retcode.h:33
internal methods for variable pricers
Definition: type_set.h:48
public methods for primal CIP solutions
Definition: struct_event.h:152
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:174
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:255
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:3321
SCIP_RETCODE SCIPchgVarObj(SCIP *scip, SCIP_VAR *var, SCIP_Real newobj)
Definition: scip_var.c:4510
SCIP_RETCODE SCIPcreateRandom(SCIP *scip, SCIP_RANDNUMGEN **randnumgen, unsigned int initialseed, SCIP_Bool useglobalseed)
Definition: scip_randnumgen.c:47
data structures and methods for collecting reoptimization information
the function declarations for the synchronization store
Definition: type_message.h:44
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:779
int SCIPtreeGetEffectiveRootDepth(SCIP_TREE *tree)
Definition: tree.c:8431
SCIP_RETCODE SCIPsetProbTrans(SCIP *scip, SCIP_DECL_PROBTRANS((*probtrans)))
Definition: scip_prob.c:211
SCIP_RETCODE SCIPwriteTransProblem(SCIP *scip, const char *filename, const char *extension, SCIP_Bool genericnames)
Definition: scip_prob.c:646
SCIP_RETCODE SCIPsetObjlimit(SCIP *scip, SCIP_Real objlimit)
Definition: scip_prob.c:1420
Definition: type_tree.h:35
SCIP_RETCODE SCIPstatCreate(SCIP_STAT **stat, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_MESSAGEHDLR *messagehdlr)
Definition: stat.c:46
SCIP_RETCODE SCIPupdateNodeDualbound(SCIP *scip, SCIP_NODE *node, SCIP_Real newbound)
Definition: scip_prob.c:3733
SCIP_RETCODE SCIPupdateNodeLowerbound(SCIP *scip, SCIP_NODE *node, SCIP_Real newbound)
Definition: scip_prob.c:3755
internal methods for input file readers
Definition: type_var.h:46
void SCIPprobSetTrans(SCIP_PROB *prob, SCIP_DECL_PROBTRANS((*probtrans)))
Definition: prob.c:345
methods for debugging
Definition: type_set.h:40
datastructures for block memory pools and memory buffers
Definition: type_set.h:41
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:172
Definition: type_var.h:41
SCIP_RETCODE SCIPupdateLocalDualbound(SCIP *scip, SCIP_Real newbound)
Definition: scip_prob.c:3644
void SCIPdecompstoreFree(SCIP_DECOMPSTORE **decompstore, BMS_BLKMEM *blkmem)
Definition: dcmp.c:545
Definition: type_set.h:45
datastructures for problem statistics
Definition: type_set.h:42
int SCIPconshdlrGetNActiveConss(SCIP_CONSHDLR *conshdlr)
Definition: cons.c:4624
helper functions for concurrent scip solvers
Definition: type_retcode.h:39
SCIP_RETCODE SCIPsyncstoreExit(SCIP_SYNCSTORE *syncstore)
Definition: syncstore.c:191
SCIP_RETCODE SCIPupdateLocalLowerbound(SCIP *scip, SCIP_Real newbound)
Definition: scip_prob.c:3694
datastructures for storing and manipulating the main problem
Definition: type_set.h:39
Definition: type_set.h:36
SCIP_RETCODE SCIPaddPricedVar(SCIP *scip, SCIP_VAR *var, SCIP_Real score)
Definition: scip_prob.c:1731
internal methods for decompositions and the decomposition store
SCIP_RETCODE SCIPsetProbInitsol(SCIP *scip, SCIP_DECL_PROBINITSOL((*probinitsol)))
Definition: scip_prob.c:253
Definition: type_set.h:35
public methods for managing events
general public methods
SCIP_RETCODE SCIPsetProbName(SCIP *scip, const char *name)
Definition: scip_prob.c:1093
public methods for solutions
public methods for random numbers
SCIP_RETCODE SCIPreleaseCons(SCIP *scip, SCIP_CONS **cons)
Definition: scip_cons.c:1110
public methods for message output
data structures for LP management
void SCIPprobUpdateDualbound(SCIP_PROB *prob, SCIP_Real newbound)
Definition: prob.c:1559
void SCIPprobSetDelorig(SCIP_PROB *prob, SCIP_DECL_PROBDELORIG((*probdelorig)))
Definition: prob.c:334
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:1135
int SCIPconshdlrGetNCheckConss(SCIP_CONSHDLR *conshdlr)
Definition: cons.c:4610
datastructures for collecting primal CIP solutions and primal informations
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:1599
Definition: type_retcode.h:45
Definition: type_set.h:44
SCIP_Real SCIPgetNodeLowerbound(SCIP *scip, SCIP_NODE *node)
Definition: scip_prob.c:3620
void SCIPprobSetDeltrans(SCIP_PROB *prob, SCIP_DECL_PROBDELTRANS((*probdeltrans)))
Definition: prob.c:356
SCIP_RETCODE SCIPsetProbDeltrans(SCIP *scip, SCIP_DECL_PROBDELTRANS((*probdeltrans)))
Definition: scip_prob.c:232
SCIP_Real SCIPprobExternObjval(SCIP_PROB *transprob, SCIP_PROB *origprob, SCIP_SET *set, SCIP_Real objval)
Definition: prob.c:2107
SCIP_RETCODE SCIPprobAddCons(SCIP_PROB *prob, SCIP_SET *set, SCIP_STAT *stat, SCIP_CONS *cons)
Definition: prob.c:1277
void SCIPprimalAddOrigObjoffset(SCIP_PRIMAL *primal, SCIP_SET *set, SCIP_Real addval)
Definition: primal.c:535
Definition: type_retcode.h:37
Definition: type_retcode.h:35
SCIP_RETCODE SCIPprobDelVar(SCIP_PROB *prob, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_EVENTQUEUE *eventqueue, SCIP_VAR *var, SCIP_Bool *deleted)
Definition: prob.c:1001
SCIP_RETCODE SCIPsetProbDelorig(SCIP *scip, SCIP_DECL_PROBDELORIG((*probdelorig)))
Definition: scip_prob.c:190
Definition: type_prob.h:39
SCIP_RETCODE SCIPaddConflict(SCIP *scip, SCIP_NODE *node, SCIP_CONS *cons, SCIP_NODE *validnode, SCIP_CONFTYPE conftype, SCIP_Bool iscutoffinvolved)
Definition: scip_prob.c:3226
Definition: type_retcode.h:43
SCIP_RETCODE SCIPprimalFree(SCIP_PRIMAL **primal, BMS_BLKMEM *blkmem)
Definition: primal.c:151
Definition: objbenders.h:33
public methods for global and local (sub)problems
void SCIPchildChgNodeselPrio(SCIP_TREE *tree, SCIP_NODE *child, SCIP_Real priority)
Definition: tree.c:2434
SCIP_RETCODE SCIPaddObjoffset(SCIP *scip, SCIP_Real addval)
Definition: scip_prob.c:1266
Definition: type_set.h:38
datastructures for global SCIP settings
SCIP_RETCODE SCIPdecompstoreCreate(SCIP_DECOMPSTORE **decompstore, BMS_BLKMEM *blkmem, int nslots)
Definition: dcmp.c:490
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:928
memory allocation routines
Definition: type_var.h:58