Scippy

    SCIP

    Solving Constraint Integer Programs

    prop_genvbounds.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/* */
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    23/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
    24
    25/**@file prop_genvbounds.h
    26 * @ingroup PROPAGATORS
    27 * @brief generalized variable bounds propagator
    28 * @author Stefan Weltge
    29 * @author Ambros Gleixner
    30 *
    31 * A generalized variable bound is a linear inequality of the form
    32 * \f[
    33 * c \, x_i \geq \sum (a_j \, x_j) + d \cdot \mbox{primal\_bound} + \mbox{const},
    34 * \f]
    35 * where \f$c\f$ is either 1 or -1 and \f$primal\_bound\f$ is an upper bound on the optimal objective
    36 * value, which may improve during the solving process. In SCIP, generalized variable bounds are
    37 * used for providing bounds on the LHS's variable \f$x_i\f$. If the above inequality is valid, the
    38 * following bounds, depending on \f$x_i\f$'s coefficient, are also valid:
    39 * \f[
    40 * c = 1 \qquad\Rightarrow\qquad x_i \geq \mbox{minactivity}(\sum a_j \, x_j)
    41 * + d \cdot \mbox{primal\_bound} + \mbox{const}
    42 * \f]
    43 * \f[
    44 * c = -1 \qquad\Rightarrow\qquad x_i \leq - \mbox{minactivity}(\sum a_j \, x_j)
    45 * - d \cdot \mbox{primal\_bound} - \mbox{const}.
    46 * \f]
    47 *
    48 * Note that for feasible problems, \f$d \leq 0\f$ must hold. If \f$d < 0\f$ a decrease of the
    49 * primal bound causes an improvement of the provided bound. Similarly, if \f$a_j > 0\f$ (\f$< 0\f$), a
    50 * tightened lower (upper) bound of a variable \f$x_j\f$ also yields a better bound for \f$x_i\f$.
    51 *
    52 * The genvbounds propagator sorts its stored generalized variable bounds topologically in the
    53 * following order: A generalized variable bound A (\f$c\, x_i \geq \ldots\f$) preceeds a
    54 * generalized variable bound B if the left-hand side variable of A appears in the right-hand side
    55 * of B with sign of its coefficient equal to c; i.e., if A is propagated and tightens the
    56 * corresponding bound of x_i, then the minactivity on the right-hand side of B increases. We
    57 * assume that this order is acyclic for the generalized variable bounds added. Under this
    58 * condition, propagating the generalized variable bounds in a topological order ensures that all
    59 * propagations are found in one round.
    60 *
    61 * Both global and local propagation is applied: If the primal bound improves, generalized variable bounds with a
    62 * nonzero coefficient d are enforced in order to tighten global bounds using the global variable bounds for computing
    63 * the minactivity. Independently, the genvbounds propagator catches events SCIP_EVENTTYPE_LBTIGHTENED and
    64 * SCIP_EVENTTYPE_UBTIGHTENED, i.e., locally tightened bounds of variables that occur in the right-hand sides of
    65 * generalized variable bounds, in order to perform an efficient local propagation when called.
    66 */
    67
    68/*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
    69
    70#ifndef __SCIP_PROP_GENVBOUNDS_H__
    71#define __SCIP_PROP_GENVBOUNDS_H__
    72
    73#include "scip/def.h"
    74#include "scip/type_lp.h"
    75#include "scip/type_prop.h"
    76#include "scip/type_retcode.h"
    77#include "scip/type_scip.h"
    78#include "scip/type_var.h"
    79
    80#ifdef __cplusplus
    81extern "C" {
    82#endif
    83
    84/**@addtogroup PROPAGATORS
    85 *
    86 * @{
    87 */
    88
    89/** adds a generalized variable bound to the genvbounds propagator; if there is already a genvbound for the bound
    90 * "boundtype" of variable "var", it will be replaced
    91 */
    92SCIP_EXPORT
    94 SCIP* scip, /**< SCIP data structure */
    95 SCIP_PROP* genvboundprop, /**< genvbound propagator */
    96 SCIP_VAR** vars, /**< array of RHSs variables */
    97 SCIP_VAR* var, /**< LHSs variable */
    98 SCIP_Real* coefs, /**< array of coefficients for the RHSs variables */
    99 int ncoefs, /**< size of coefs array */
    100 SCIP_Real coefcutoffbound, /**< nonpositive value of the cutoff bounds multiplier */
    101 SCIP_Real constant, /**< constant term */
    102 SCIP_BOUNDTYPE boundtype /**< type of bound provided by the genvbound */
    103 );
    104
    105/** @} */
    106
    107
    108/** creates the genvbounds propagator and includes it in SCIP
    109 *
    110 * @ingroup PropagatorIncludes
    111 */
    112SCIP_EXPORT
    114 SCIP* scip /**< SCIP data structure */
    115 );
    116
    117#ifdef __cplusplus
    118}
    119#endif
    120
    121#endif
    common defines and data types used in all packages of SCIP
    #define SCIP_Real
    Definition: def.h:156
    SCIP_RETCODE SCIPgenVBoundAdd(SCIP *scip, SCIP_PROP *genvboundprop, SCIP_VAR **vars, SCIP_VAR *var, SCIP_Real *coefs, int ncoefs, SCIP_Real coefcutoffbound, SCIP_Real constant, SCIP_BOUNDTYPE boundtype)
    SCIP_RETCODE SCIPincludePropGenvbounds(SCIP *scip)
    type definitions for LP management
    enum SCIP_BoundType SCIP_BOUNDTYPE
    Definition: type_lp.h:60
    type definitions for propagators
    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
    type definitions for problem variables