Application of the Lovász-Schrijver Lift-and-Project Operator to Compact Stable Set Integer Programs

Fuente: arXiv
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Autori principali: Battista, Federico, Rossi, Fabrizio, Smriglio, Stefano
Natura: Preprint
Pubblicazione: 2024
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author Battista, Federico
Rossi, Fabrizio
Smriglio, Stefano
author_facet Battista, Federico
Rossi, Fabrizio
Smriglio, Stefano
contents The Lovász theta function $θ(G)$ provides a very good upper bound on the stability number of a graph $G$. It can be computed in polynomial time by solving a semidefinite program (SDP), which also turns out to be fairly tractable in practice. Consequently, $θ(G)$ achieves a hard-to-beat trade-off between computational effort and strength of the bound. Indeed, several attempts to improve the theta bound are documented, mainly based on playing around the application of the $N_+(\cdot)$ lifting operator of Lovász and Schrijver to the classical formulation of the maximum stable set problem. Experience shows that solving such SDP-s often struggles against practical intractability and requires highly specialized methods. We investigate the application of such an operator to two different linear formulations based on clique and nodal inequalities, respectively. Fewer inequalities describe these two and yet guarantee that the resulting SDP bound is at least as strong as $θ(G)$. Our computational experience, including larger graphs than those previously documented, shows that upper bounds stronger than $θ(G)$ can be accessed by a reasonable additional effort using the clique-based formulation on sparse graphs and the nodal-based one on dense graphs.
format Preprint
id arxiv_https___arxiv_org_abs_2407_19290
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Application of the Lovász-Schrijver Lift-and-Project Operator to Compact Stable Set Integer Programs
Battista, Federico
Rossi, Fabrizio
Smriglio, Stefano
Optimization and Control
Information Theory
90C22, 90C27, 05C69
The Lovász theta function $θ(G)$ provides a very good upper bound on the stability number of a graph $G$. It can be computed in polynomial time by solving a semidefinite program (SDP), which also turns out to be fairly tractable in practice. Consequently, $θ(G)$ achieves a hard-to-beat trade-off between computational effort and strength of the bound. Indeed, several attempts to improve the theta bound are documented, mainly based on playing around the application of the $N_+(\cdot)$ lifting operator of Lovász and Schrijver to the classical formulation of the maximum stable set problem. Experience shows that solving such SDP-s often struggles against practical intractability and requires highly specialized methods. We investigate the application of such an operator to two different linear formulations based on clique and nodal inequalities, respectively. Fewer inequalities describe these two and yet guarantee that the resulting SDP bound is at least as strong as $θ(G)$. Our computational experience, including larger graphs than those previously documented, shows that upper bounds stronger than $θ(G)$ can be accessed by a reasonable additional effort using the clique-based formulation on sparse graphs and the nodal-based one on dense graphs.
title Application of the Lovász-Schrijver Lift-and-Project Operator to Compact Stable Set Integer Programs
topic Optimization and Control
Information Theory
90C22, 90C27, 05C69
url https://arxiv.org/abs/2407.19290