/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
/*                                                                           */
/*                  This file is part of the program and library             */
/*         SCIP --- Solving Constraint Integer Programs                      */
/*                                                                           */
/*  Copyright (c) 2002-2024 Zuse Institute Berlin (ZIB)                      */
/*                                                                           */
/*  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   heur_dps.h
 * @ingroup PRIMALHEURISTICS
 * @brief  dynamic partition search
 * @author Katrin Halbig
 *
 * The dynamic partition search (DPS) is a construction heuristic which additionally needs a
 * user decomposition with linking constraints only.
 *
 * This heuristic splits the problem into several sub-SCIPs according to the given decomposition. Thereby the linking constraints
 * with their right-hand and left-hand sides are also split. DPS searches for a partition of the sides on the blocks
 * so that a feasible solution is obtained.
 * For each block the parts of the original linking constraints are extended by slack variables. Moreover, the objective function
 * is replaced by the sum of these additional variables weighted by penalty parameters lambda. If all blocks have an optimal solution
 * of zero, the algorithm terminates with a feasible solution for the main problem. Otherwise, the partition and the penalty parameters
 * are updated, and the sub-SCIPs are solved again.
 *
 * A detailed description can be found in
 * K. Halbig, A. Göß and D. Weninger (2023). Exploiting user-supplied Decompositions inside Heuristics. https://optimization-online.org/?p=23386
 */

/*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/

#ifndef __SCIP_HEUR_DPS_H__
#define __SCIP_HEUR_DPS_H__


#include "scip/def.h"
#include "scip/type_retcode.h"
#include "scip/type_scip.h"

#ifdef __cplusplus
extern "C" {
#endif

/** creates the dps primal heuristic and includes it in SCIP
 *
 *  @ingroup PrimalHeuristicIncludes
 */
SCIP_EXPORT
SCIP_RETCODE SCIPincludeHeurDps(
   SCIP*                 scip                /**< SCIP data structure */
   );

#ifdef __cplusplus
}
#endif

#endif
