/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */ /* */ /* This file is part of the program and library */ /* SCIP --- Solving Constraint Integer Programs */ /* */ /* Copyright (C) 2002-2020 Konrad-Zuse-Zentrum */ /* fuer Informationstechnik Berlin */ /* */ /* SCIP is distributed under the terms of the ZIB Academic License. */ /* */ /* You should have received a copy of the ZIB Academic License */ /* along with SCIP; see the file COPYING. If not email to scip@zib.de. */ /* */ /* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */ /**@file treemodel.h * @ingroup PUBLICCOREAPI * @brief Branching rules based on the Single-Variable-Branching (SVB) model * @author Daniel Anderson * @author Pierre Le Bodic * * The Single-Variable-Branching (SVB) model is a simplified model of * Branch & Bound trees, from which several nontrivial variable selection * rules arise. The Treemodel branching rule complements SCIP's hybrid * branching by suggesting improved branching variables given the current * pseudocosts and the current dual gap. * * Given a variable with dual bound changes (l, r) (both positive) * and an absolute gap G, the SVB model describes the tree that needs to be * built by branching on that same variable at every node until the value G * is reached at every leaf, starting from 0 at the root node. * If we do so for every variable, we can select the variable that produces * the smallest tree. * In the case where the gap is not known, then we can compute the growth rate * of the tree, which we call the ratio. * The ratio of a variable (l, r) is the factor by which the size of the tree * built using (l, r) that closes a gap G must be multiplied by to close a gap * G+1. This ratio is not constant for all gaps, but when G tends to infinity, * it converges to a fixed value we can compute numerically using a root finding * algorithm (e.g. Laguerre). * The ratio is used when the gap is too large (e.g. no primal bound known) or * to help approximate the size of the SVB tree for that variable. * * See the following publication for more detail: * * @par * Pierre Le Bodic and George Nemhauser@n * An abstract model for branching and its application to mixed integer programming@n * Mathematical Programming, 2017@n */ /*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/ #ifndef __SCIP_TREEMODEL_H__ #define __SCIP_TREEMODEL_H__ #include "scip/scip.h" #ifdef __cplusplus extern "C" { #endif /** initialises the Treemodel parameter data structure */ SCIP_EXPORT SCIP_RETCODE SCIPtreemodelInit( SCIP* scip, /**< SCIP data structure */ SCIP_TREEMODEL** treemodel /**< Treemodel parameter data structure */ ); /** frees the Treemodel parameter data structure */ SCIP_EXPORT SCIP_RETCODE SCIPtreemodelFree( SCIP* scip, /**< SCIP data structure */ SCIP_TREEMODEL** treemodel /**< Treemodel parameter data structure */ ); /** returns TRUE if the Treemodel branching rules are enabled */ SCIP_EXPORT SCIP_Bool SCIPtreemodelIsEnabled( SCIP* scip, /**< SCIP data structure */ SCIP_TREEMODEL* treemodel /**< Treemodel parameter data structure */ ); /** apply the Treemodel branching rules to attempt to select a better * branching candidate than the one selected by pseudocost branching */ SCIP_EXPORT SCIP_RETCODE SCIPtreemodelSelectCandidate( SCIP* scip, /**< SCIP data structure */ SCIP_TREEMODEL* treemodel, /**< Treemodel parameter data structure */ SCIP_VAR** branchcands, /**< branching candidate storage */ SCIP_Real* mingains, /**< minimum gain of rounding downwards or upwards */ SCIP_Real* maxgains, /**< maximum gain of rounding downwards or upwards */ SCIP_Real* tiebreakerscore, /**< scores to use for tie breaking */ int nbranchcands, /**< the number of branching candidates */ int* bestcand /**< the best branching candidate found before the call, and the best candidate after the call (possibly the same) */ ); #ifdef __cplusplus } #endif #endif