/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */ /* */ /* This file is part of the program and library */ /* SCIP --- Solving Constraint Integer Programs */ /* */ /* Copyright 2002-2022 Zuse Institute Berlin */ /* */ /* Licensed under the Apache License, Version 2.0 (the "License"); */ /* you may not use this file except in compliance with the License. */ /* You may obtain a copy of the License at */ /* */ /* http://www.apache.org/licenses/LICENSE-2.0 */ /* */ /* Unless required by applicable law or agreed to in writing, software */ /* distributed under the License is distributed on an "AS IS" BASIS, */ /* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. */ /* See the License for the specific language governing permissions and */ /* limitations under the License. */ /* */ /* You should have received a copy of the Apache-2.0 license */ /* along with SCIP; see the file LICENSE. If not visit scipopt.org. */ /* */ /* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */ /**@file presolve.h * @ingroup PUBLICCOREAPI * @brief methods commonly used for presolving * @author Michael Winkler */ /*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/ #ifndef __SCIP_PRESOLVE_H__ #define __SCIP_PRESOLVE_H__ #include "scip/def.h" #include "scip/type_retcode.h" #include "scip/type_scip.h" #include "scip/type_var.h" #ifdef __cplusplus extern "C" { #endif /**@defgroup PublicSpecialPresolveMethods Special Methods * @ingroup PublicPresolverMethods * @brief methods commonly used for presolving * * @{ */ /** try to reduce the necessary variable in a set of variables with corresponding bounds and boundtypes for which one * must be fulfilled * * e.g. a set of logicor or bounddisjunctive constraint variables would be such a set * * consider the following set: * * x1 >= 1, x2 >= 3, x3 >= 1, x4 <= 0 * * by (global) implication data (cliques, implications, and variable bounds) we have also the following implications * given: * * x1 >= 1 => x3 >= 1 * x2 >= 2 => x3 >= 1 * x4 <= 0 => x1 >= 1 * * Because of the last implication x4 is redundant, because x1 >= 1 would also be fulfilled in the variable set, so we * can reduce the set by x4. * Also, the both other implications and x3 >= 1 (in the given variable set) all imply exactly x3 >= 1, so we tighten * the global lower bound of x3 to 1 and the set of variables gets redundant. */ SCIP_EXPORT SCIP_RETCODE SCIPshrinkDisjunctiveVarSet( SCIP* scip, /**< SCIP data structure */ SCIP_VAR** vars, /**< variables array for which at least one must be fulfilled in the * following bounds and boundtypes */ SCIP_Real* bounds, /**< bounds array for which at least one must be fulfilled */ SCIP_Bool* boundtypes, /**< boundtypes array (TRUE == SCIP_BOUNDTYPE_UPPER, FALSE == SCIP_BOUNDTYPE_LOWER) * for which at least one must be fulfilled */ SCIP_Bool* redundants, /**< array which be filled and then indicate if a variable in the set is redundant */ int nvars, /**< number of variables */ int* nredvars, /**< pointer to store how many variables can be removed */ int* nglobalred, /**< pointer to store number of global reductions on variable bounds found * through this set of variables */ SCIP_Bool* setredundant, /**< pointer to store if we found a global reduction on a variable which was part * of the given set of variables, this makes this disjunction redundant */ SCIP_Bool* glbinfeas, /**< pointer to store if global infeasibility was detected */ SCIP_Bool fullshortening /**< do we want to try the shortening procedure over the whole set (which might be expensive) */ ); /** @} */ #ifdef __cplusplus } #endif #endif