1    	/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
2    	/*                                                                           */
3    	/*                  This file is part of the program and library             */
4    	/*         SCIP --- Solving Constraint Integer Programs                      */
5    	/*                                                                           */
6    	/*  Copyright (c) 2002-2023 Zuse Institute Berlin (ZIB)                      */
7    	/*                                                                           */
8    	/*  Licensed under the Apache License, Version 2.0 (the "License");          */
9    	/*  you may not use this file except in compliance with the License.         */
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11   	/*                                                                           */
12   	/*      http://www.apache.org/licenses/LICENSE-2.0                           */
13   	/*                                                                           */
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15   	/*  distributed under the License is distributed on an "AS IS" BASIS,        */
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19   	/*                                                                           */
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21   	/*  along with SCIP; see the file LICENSE. If not visit scipopt.org.         */
22   	/*                                                                           */
23   	/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
24   	
25   	/**@file   sepa_aggregation.h
26   	 * @ingroup SEPARATORS
27   	 * @brief  flow cover and complemented mixed integer rounding cuts separator (Marchand's version)
28   	 * @author Leona Gottwald
29   	 * @author Kati Wolter
30   	 * @author Tobias Achterberg
31   	 *
32   	 * For an overview see:
33   	 *
34   	 * Marchand, H., & Wolsey, L. A. (2001).@n
35   	 * Aggregation and mixed integer rounding to solve MIPs.@n
36   	 * Operations research, 49(3), 363-371.
37   	 *
38   	 * Some remarks:
39   	 * - In general, continuous variables are less prefered than integer variables, since their cut
40   	 *   coefficient is worse.
41   	 * - We seek for aggregations that project out continuous variables that are far away from their bound,
42   	 *   since if it is at its bound then it doesn't contribute to the violation
43   	 * - These aggregations are also useful for the flowcover separation, so after building an aggregation
44   	 *   we try to generate a MIR cut and a flowcover cut.
45   	 * - We only keep the best cut.
46   	 */
47   	
48   	/*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
49   	
50   	#ifndef __SCIP_SEPA_CMIR_H__
51   	#define __SCIP_SEPA_CMIR_H__
52   	
53   	
54   	#include "scip/def.h"
55   	#include "scip/type_retcode.h"
56   	#include "scip/type_scip.h"
57   	
58   	#ifdef __cplusplus
59   	extern "C" {
60   	#endif
61   	
62   	/** creates the aggregation separator and includes it in SCIP
63   	 *
64   	 * @ingroup SeparatorIncludes
65   	 */
66   	SCIP_EXPORT
67   	SCIP_RETCODE SCIPincludeSepaAggregation(
68   	   SCIP*                 scip                /**< SCIP data structure */
69   	   );
70   	
71   	#ifdef __cplusplus
72   	}
73   	#endif
74   	
75   	#endif
76