Scippy

    SCIP

    Solving Constraint Integer Programs

    prop_obbt.h
    Go to the documentation of this file.
    1/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
    2/* */
    3/* This file is part of the program and library */
    4/* SCIP --- Solving Constraint Integer Programs */
    5/* */
    6/* Copyright (c) 2002-2025 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. */
    10/* You may obtain a copy of the License at */
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    12/* http://www.apache.org/licenses/LICENSE-2.0 */
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    14/* Unless required by applicable law or agreed to in writing, software */
    15/* distributed under the License is distributed on an "AS IS" BASIS, */
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    17/* See the License for the specific language governing permissions and */
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    20/* You should have received a copy of the Apache-2.0 license */
    21/* along with SCIP; see the file LICENSE. If not visit scipopt.org. */
    22/* */
    23/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
    24
    25/**@file prop_obbt.h
    26 * @ingroup PROPAGATORS
    27 * @brief optimization-based bound tightening propagator
    28 * @author Stefan Weltge
    29 *
    30 * In Optimization-Based Bound Tightening (OBBT), we solve auxiliary LPs of the form
    31 * \f[
    32 * \min / \max \, \{ x_i \mid x \in P' \},
    33 * \f]
    34 * where \f$P'\f$ is the current LP relaxation restricted by the primal cutoff constraint \f$c^T x <= z\f$, \f$z\f$ the
    35 * current cutoff bound. Trivially, the optimal objective value of this LP provides a valid lower/upper bound on
    36 * variable \f$x_i\f$.
    37 *
    38 * Since solving LPs may be expensive, the propagator inspects solutions \f$x \in P'\f$ and does not run for variable
    39 * bounds which are tight at \f$x\f$: First, we check SCIP's last LP relaxation solution. Second, we solve a sequence of
    40 * filtering LP's \f$\min / \max \, \{ \sum w_i \, x_i \mid x \in P' \}\f$ in order to push several variables towards
    41 * one of their bounds in one LP solve. Third, we inspect all solutions of the auxiliary LPs solved along the way.
    42 *
    43 * By default, OBBT is only applied for nonbinary variables that occur in nonlinear constraints.
    44 *
    45 * After we learned a better variable bound the propagator tries to separate the solution of the current OBBT LP with
    46 * the refined outer approximation in order to strengthen the learned bound. Additionally, we trigger a
    47 * propagation round of SCIP after a fixed number of learned bound tightenings.
    48 *
    49 * Additionally, the propagator uses the dual solution of the auxiliary LPs to construct globally valid generalized
    50 * variable bounds which may be propagated during the branch-and-bound search.
    51 */
    52
    53/*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
    54
    55#ifndef __SCIP_PROP_OBBT_H__
    56#define __SCIP_PROP_OBBT_H__
    57
    58#include "scip/def.h"
    59#include "scip/type_retcode.h"
    60#include "scip/type_scip.h"
    61
    62#ifdef __cplusplus
    63extern "C" {
    64#endif
    65
    66/** creates the obbt propagator and includes it in SCIP
    67 *
    68 * @ingroup PropagatorIncludes
    69 */
    70SCIP_EXPORT
    72 SCIP* scip /**< SCIP data structure */
    73 );
    74
    75#ifdef __cplusplus
    76}
    77#endif
    78
    79#endif
    common defines and data types used in all packages of SCIP
    SCIP_RETCODE SCIPincludePropObbt(SCIP *scip)
    Definition: prop_obbt.c:3323
    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