# SCIP

Solving Constraint Integer Programs

treemodel.h File Reference

## Detailed Description

Branching rules based on the Single-Variable-Branching (SVB) model.

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:

Pierre Le Bodic and George Nemhauser
An abstract model for branching and its application to mixed integer programming
Mathematical Programming, 2017

Definition in file treemodel.h.

#include "scip/scip.h"

Go to the source code of this file.

## Functions

SCIP_EXPORT SCIP_RETCODE SCIPtreemodelInit (SCIP *scip, SCIP_TREEMODEL **treemodel)

SCIP_EXPORT SCIP_RETCODE SCIPtreemodelFree (SCIP *scip, SCIP_TREEMODEL **treemodel)

SCIP_EXPORT SCIP_Bool SCIPtreemodelIsEnabled (SCIP *scip, SCIP_TREEMODEL *treemodel)

SCIP_EXPORT SCIP_RETCODE SCIPtreemodelSelectCandidate (SCIP *scip, SCIP_TREEMODEL *treemodel, SCIP_VAR **branchcands, SCIP_Real *mingains, SCIP_Real *maxgains, SCIP_Real *tiebreakerscore, int nbranchcands, int *bestcand)

## ◆ SCIPtreemodelInit()

 SCIP_EXPORT SCIP_RETCODE SCIPtreemodelInit ( SCIP * scip, SCIP_TREEMODEL ** treemodel )

initialises the Treemodel parameter data structure

Parameters
 scip SCIP data structure treemodel Treemodel parameter data structure

Definition at line 825 of file treemodel.c.

Referenced by selectCandidateUsingSampling().

## ◆ SCIPtreemodelFree()

 SCIP_EXPORT SCIP_RETCODE SCIPtreemodelFree ( SCIP * scip, SCIP_TREEMODEL ** treemodel )

frees the Treemodel parameter data structure

Parameters
 scip SCIP data structure treemodel Treemodel parameter data structure

Definition at line 883 of file treemodel.c.

## ◆ SCIPtreemodelIsEnabled()

 SCIP_EXPORT SCIP_Bool SCIPtreemodelIsEnabled ( SCIP * scip, SCIP_TREEMODEL * treemodel )

returns TRUE if the Treemodel branching rules are enabled

Parameters
 scip SCIP data structure treemodel Treemodel parameter data structure

Definition at line 899 of file treemodel.c.

Referenced by execRelpscost().

## ◆ SCIPtreemodelSelectCandidate()

 SCIP_EXPORT SCIP_RETCODE SCIPtreemodelSelectCandidate ( SCIP * scip, SCIP_TREEMODEL * treemodel, SCIP_VAR ** branchcands, SCIP_Real * mingains, SCIP_Real * maxgains, SCIP_Real * tiebreakerscore, int nbranchcands, int * bestcand )

apply the Treemodel branching rules to attempt to select a better branching candidate than the one selected by pseudocost branching

Parameters
 scip SCIP data structure treemodel Treemodel parameter data structure branchcands branching candidate storage mingains minimum gain of rounding downwards or upwards maxgains maximum gain of rounding downwards or upwards tiebreakerscore scores to use for tie breaking nbranchcands the number of branching candidates bestcand the best branching candidate found before the call, and the best candidate after the call (possibly the same)

Definition at line 911 of file treemodel.c.

Referenced by execRelpscost().