/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */ /* */ /* 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 presol_dualsparsify.h * @brief cancel nonzeros of the constraint matrix based on the columns * @author Dieter Weninger * @author Leona Gottwald * @author Ambros Gleixner * @author Weikun Chen * * This presolver attempts to cancel non-zero entries of the constraint * matrix by adding scaled columns to other columns. * * In more detail, for two columns A_{j.} and A_{k.}, suppose for a given value s, we have * * | A_{j.} | - | A_{j.} - s*A_{k.} | > eta, * * where eta is an nonnegative integer. Then we introduce a new variable y := s*x_j + x_k * and aggregate the variable x_k = y - s*x_j. After aggregation, the column of the variable * x_j is A_{j.} + s*A_{j.} which is sparser than A_{j.}. In the case that x_k is no implied * free variable, we need to add a new constraint l_k <= y - weight*x_j <= u_k into the problem * to keep the bounds constraints of variable x_k. * * Further information can be found in * Chen et al. "Two-row and two-column mixed-integer presolve using hasing-based pairing methods". * * @todo add infrastructure to SCIP for handling aggregated binary variables */ /*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/ #ifndef __SCIP_PRESOL_DUALSPARSIFY_H__ #define __SCIP_PRESOL_DUALSPARSIFY_H__ #include "scip/def.h" #include "scip/type_retcode.h" #include "scip/type_scip.h" #ifdef __cplusplus extern "C" { #endif /** creates the dual sparsify presolver and includes it in SCIP */ SCIP_EXPORT SCIP_RETCODE SCIPincludePresolDualsparsify( SCIP* scip /**< SCIP data structure */ ); #ifdef __cplusplus } #endif #endif