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Exploring the relationship between max-cut and stable set relaxations

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Exploring the relationship between max-cut and stable set relaxations. / Giandomenico, M; Letchford, A N.
In: Mathematical Programming, Vol. 106, No. 1, 03.2006, p. 159-175.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Giandomenico M, Letchford AN. Exploring the relationship between max-cut and stable set relaxations. Mathematical Programming. 2006 Mar;106(1):159-175. doi: 10.1007/s10107-005-0604-5

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Giandomenico, M ; Letchford, A N. / Exploring the relationship between max-cut and stable set relaxations. In: Mathematical Programming. 2006 ; Vol. 106, No. 1. pp. 159-175.

Bibtex

@article{52325962601d49a69034acd505295735,
title = "Exploring the relationship between max-cut and stable set relaxations",
abstract = "The max-cut and stable set problems are two fundamental NP-hard problems in combinatorial optimization. It has been known for a long time that any instance of the stable set problem can be easily transformed into a max-cut instance. Moreover, Laurent, Poljak, Rendl and others have shown that any convex set containing the cut polytope yields, via a suitable projection, a convex set containing the stable set polytope. We review this work, and then extend it in the following ways. We show that the rounded version of certain `positive semidefinite' inequalities for the cut polytope imply, via the same projection, a surprisingly large variety of strong valid inequalities for the stable set polytope. These include the clique, odd hole, odd antihole, web and antiweb inequalities, and various inequalities obtained from these via sequential lifting. We also examine a less general class of inequalities for the cut polytope, which we call odd clique inequalities, and show that they are, in general, much less useful for generating valid inequalities for the stable set polytope. As well as being of theoretical interest, these results have algorithmic implications. In particular, we obtain as a by-product a polynomial-time separation algorithm for a class of inequalities which includes all web inequalities.",
keywords = "max-cut problem, stable set problem, polyhedral combinatorics",
author = "M Giandomenico and Letchford, {A N}",
year = "2006",
month = mar,
doi = "10.1007/s10107-005-0604-5",
language = "English",
volume = "106",
pages = "159--175",
journal = "Mathematical Programming",
issn = "0025-5610",
publisher = "Springer-Verlag GmbH and Co. KG",
number = "1",

}

RIS

TY - JOUR

T1 - Exploring the relationship between max-cut and stable set relaxations

AU - Giandomenico, M

AU - Letchford, A N

PY - 2006/3

Y1 - 2006/3

N2 - The max-cut and stable set problems are two fundamental NP-hard problems in combinatorial optimization. It has been known for a long time that any instance of the stable set problem can be easily transformed into a max-cut instance. Moreover, Laurent, Poljak, Rendl and others have shown that any convex set containing the cut polytope yields, via a suitable projection, a convex set containing the stable set polytope. We review this work, and then extend it in the following ways. We show that the rounded version of certain `positive semidefinite' inequalities for the cut polytope imply, via the same projection, a surprisingly large variety of strong valid inequalities for the stable set polytope. These include the clique, odd hole, odd antihole, web and antiweb inequalities, and various inequalities obtained from these via sequential lifting. We also examine a less general class of inequalities for the cut polytope, which we call odd clique inequalities, and show that they are, in general, much less useful for generating valid inequalities for the stable set polytope. As well as being of theoretical interest, these results have algorithmic implications. In particular, we obtain as a by-product a polynomial-time separation algorithm for a class of inequalities which includes all web inequalities.

AB - The max-cut and stable set problems are two fundamental NP-hard problems in combinatorial optimization. It has been known for a long time that any instance of the stable set problem can be easily transformed into a max-cut instance. Moreover, Laurent, Poljak, Rendl and others have shown that any convex set containing the cut polytope yields, via a suitable projection, a convex set containing the stable set polytope. We review this work, and then extend it in the following ways. We show that the rounded version of certain `positive semidefinite' inequalities for the cut polytope imply, via the same projection, a surprisingly large variety of strong valid inequalities for the stable set polytope. These include the clique, odd hole, odd antihole, web and antiweb inequalities, and various inequalities obtained from these via sequential lifting. We also examine a less general class of inequalities for the cut polytope, which we call odd clique inequalities, and show that they are, in general, much less useful for generating valid inequalities for the stable set polytope. As well as being of theoretical interest, these results have algorithmic implications. In particular, we obtain as a by-product a polynomial-time separation algorithm for a class of inequalities which includes all web inequalities.

KW - max-cut problem

KW - stable set problem

KW - polyhedral combinatorics

U2 - 10.1007/s10107-005-0604-5

DO - 10.1007/s10107-005-0604-5

M3 - Journal article

VL - 106

SP - 159

EP - 175

JO - Mathematical Programming

JF - Mathematical Programming

SN - 0025-5610

IS - 1

ER -