Scippy

    SCIP

    Solving Constraint Integer Programs

    benderscut_int.h
    Go to the documentation of this file.
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    3/* This file is part of the program and library */
    4/* SCIP --- Solving Constraint Integer Programs */
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    24
    25/**@file benderscut_int.h
    26 * @ingroup BENDERSCUTS
    27 * @brief Generates a Laporte and Louveaux Benders' decomposition integer cut
    28 * @author Stephen J. Maher
    29 *
    30 * The classical Benders' decomposition algorithm is only applicable to problems with continuous second stage variables.
    31 * Laporte and Louveaux (1993) developed a method for generating cuts when Benders' decomposition is applied to problem
    32 * with discrete second stage variables. However, these cuts are only applicable when the master problem is a pure
    33 * binary problem.
    34 *
    35 * The integer optimality cuts are a point-wise underestimator of the optimal subproblem objective function value.
    36 * Similar to benderscuts_opt.c, an auxiliary variable, \f$\varphi\f$. is required in the master problem as a lower
    37 * bound on the optimal objective function value for the Benders' decomposition subproblem.
    38 *
    39 * Consider the Benders' decomposition subproblem that takes the master problem solution \f$\bar{x}\f$ as input:
    40 * \f[
    41 * z(\bar{x}) = \min\{d^{T}y : Ty \geq h - H\bar{x}, y \mbox{ integer}\}
    42 * \f]
    43 * If the subproblem is feasible, and \f$z(\bar{x}) > \varphi\f$ (indicating that the current underestimators are not
    44 * optimal) then the Benders' decomposition integer optimality cut can be generated from the optimal solution of the
    45 * subproblem. Let \f$S_{r}\f$ be the set of indicies for master problem variables that are 1 in \f$\bar{x}\f$ and
    46 * \f$L\f$ a known lowerbound on the subproblem objective function value.
    47 *
    48 * The resulting cut is:
    49 * \f[
    50 * \varphi \geq (z(\bar{x}) - L)(\sum_{i \in S_{r}}(x_{i} - 1) + \sum_{i \notin S_{r}}x_{i} + 1)
    51 * \f]
    52 *
    53 * Laporte, G. & Louveaux, F. V. The integer L-shaped method for stochastic integer programs with complete recourse
    54 * Operations Research Letters, 1993, 13, 133-142
    55 */
    56
    57/*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
    58
    59#ifndef __SCIP_BENDERSCUT_INT_H__
    60#define __SCIP_BENDERSCUT_INT_H__
    61
    62
    63#include "scip/def.h"
    64#include "scip/type_benders.h"
    65#include "scip/type_retcode.h"
    66#include "scip/type_scip.h"
    67
    68#ifdef __cplusplus
    69extern "C" {
    70#endif
    71
    72/** creates the integer optimality cut for Benders' decomposition cut and includes it in SCIP
    73 *
    74 * @ingroup BenderscutIncludes
    75 */
    76SCIP_EXPORT
    78 SCIP* scip, /**< SCIP data structure */
    79 SCIP_BENDERS* benders /**< Benders' decomposition */
    80 );
    81
    82#ifdef __cplusplus
    83}
    84#endif
    85
    86#endif
    common defines and data types used in all packages of SCIP
    SCIP_RETCODE SCIPincludeBenderscutInt(SCIP *scip, SCIP_BENDERS *benders)
    type definitions for Benders' decomposition methods
    type definitions for return codes for SCIP methods
    enum SCIP_Retcode SCIP_RETCODE
    Definition: type_retcode.h:63
    type definitions for SCIP's main datastructure