/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
/*                                                                           */
/*                  This file is part of the program and library             */
/*         SCIP --- Solving Constraint Integer Programs                      */
/*                                                                           */
/*  Copyright (c) 2002-2025 Zuse Institute Berlin (ZIB)                      */
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/*  Licensed under the Apache License, Version 2.0 (the "License");          */
/*  you may not use this file except in compliance with the License.         */
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/*      http://www.apache.org/licenses/LICENSE-2.0                           */
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/*  Unless required by applicable law or agreed to in writing, software      */
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/*  limitations under the License.                                           */
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/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */

/**@file   heur_proximity.h
 * @ingroup PRIMALHEURISTICS
 * @brief  improvement heuristic which uses an auxiliary objective instead of the original objective function which
 *         is itself added as a constraint to a sub-SCIP instance. The heuristic was presented by Matteo Fischetti
 *         and Michele Monaci
 * @author Gregor Hendel
 */

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

#ifndef __SCIP_HEUR_PROXIMITY_H__
#define __SCIP_HEUR_PROXIMITY_H__

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

#ifdef __cplusplus
extern "C" {
#endif

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

/**@addtogroup PRIMALHEURISTICS
 *
 * @{
 */

/** main procedure of the proximity heuristic, creates and solves a sub-SCIP
 *
 *  @note the method can be applied in an iterative way, keeping the same subscip in between. If the @p freesubscip
 *        parameter is set to FALSE, the heuristic will keep the subscip data structures. Always set this parameter
 *        to TRUE, or call SCIPdeleteSubproblemProximity() afterwards
 */
SCIP_EXPORT
SCIP_RETCODE SCIPapplyProximity(
   SCIP*                 scip,               /**< original SCIP data structure                                        */
   SCIP_HEUR*            heur,               /**< heuristic data structure                                            */
   SCIP_RESULT*          result,             /**< result data structure                                               */
   SCIP_Real             minimprove,         /**< factor by which proximity should at least improve the incumbent     */
   SCIP_Longint          nnodes,             /**< node limit for the subproblem                                       */
   SCIP_Longint          nlpiters,           /**< LP iteration limit for the subproblem                               */
   SCIP_Longint*         nusednodes,         /**< pointer to store number of used nodes in subscip                    */
   SCIP_Longint*         nusedlpiters,       /**< pointer to store number of used LP iterations in subscip            */
   SCIP_Bool             freesubscip         /**< should the created sub-MIP be freed at the end of the method?       */
   );

/** frees the sub-MIP created by proximity */
SCIP_EXPORT
SCIP_RETCODE SCIPdeleteSubproblemProximity(
   SCIP*                 scip                /** SCIP data structure */
   );

/** @} */

#ifdef __cplusplus
}
#endif

#endif
