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A new approach to the stable set problem based on ellipsoids

Research output: Working paper

Published

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A new approach to the stable set problem based on ellipsoids. / Giandomenico, M; Letchford, A N; Rossi, F et al.
Lancaster University: The Department of Management Science, 2011. (Management Science Working Paper Series).

Research output: Working paper

Harvard

Giandomenico, M, Letchford, AN, Rossi, F & Smriglio, S 2011 'A new approach to the stable set problem based on ellipsoids' Management Science Working Paper Series, The Department of Management Science, Lancaster University.

APA

Giandomenico, M., Letchford, A. N., Rossi, F., & Smriglio, S. (2011). A new approach to the stable set problem based on ellipsoids. (Management Science Working Paper Series). The Department of Management Science.

Vancouver

Giandomenico M, Letchford AN, Rossi F, Smriglio S. A new approach to the stable set problem based on ellipsoids. Lancaster University: The Department of Management Science. 2011. (Management Science Working Paper Series).

Author

Giandomenico, M ; Letchford, A N ; Rossi, F et al. / A new approach to the stable set problem based on ellipsoids. Lancaster University : The Department of Management Science, 2011. (Management Science Working Paper Series).

Bibtex

@techreport{cc90a168e90b4af298485637bdb06a50,
title = "A new approach to the stable set problem based on ellipsoids",
abstract = "We present a new exact approach to the stable set problem, which avoids the pitfalls of existing approaches based on linear and semidefinite programming. The main idea is to construct an ellipsoid which contains the stable set polytope, in such a way that the upper bound obtained by optimising over the ellipsoid is equal to the Lovasz theta number. This ellipsoid can then be used to construct useful convex programming relaxations of the stable set problem or, more interestingly, to derive cutting planes. These cutting planes turn out to be remarkably strong and easy to generate.",
keywords = "stable set problem, semidefinite programming, convex quadratic programming, cutting planes.",
author = "M Giandomenico and Letchford, {A N} and F Rossi and S Smriglio",
note = "This was eventually published as: M. Giandomenico, A.N. Letchford, F. Rossi & S. Smriglio (2011) An new approach to the stable set problem based on ellipsoids. In O. G{\"u}nl{\"u}k & G.J. Woeginger (eds.) Integer Programming and Combinatorial Optimization XV. Lecture Notes in Computer Science, vol. 6655. Heidelberg: Springer.",
year = "2011",
language = "English",
series = "Management Science Working Paper Series",
publisher = "The Department of Management Science",
type = "WorkingPaper",
institution = "The Department of Management Science",

}

RIS

TY - UNPB

T1 - A new approach to the stable set problem based on ellipsoids

AU - Giandomenico, M

AU - Letchford, A N

AU - Rossi, F

AU - Smriglio, S

N1 - This was eventually published as: M. Giandomenico, A.N. Letchford, F. Rossi & S. Smriglio (2011) An new approach to the stable set problem based on ellipsoids. In O. Günlük & G.J. Woeginger (eds.) Integer Programming and Combinatorial Optimization XV. Lecture Notes in Computer Science, vol. 6655. Heidelberg: Springer.

PY - 2011

Y1 - 2011

N2 - We present a new exact approach to the stable set problem, which avoids the pitfalls of existing approaches based on linear and semidefinite programming. The main idea is to construct an ellipsoid which contains the stable set polytope, in such a way that the upper bound obtained by optimising over the ellipsoid is equal to the Lovasz theta number. This ellipsoid can then be used to construct useful convex programming relaxations of the stable set problem or, more interestingly, to derive cutting planes. These cutting planes turn out to be remarkably strong and easy to generate.

AB - We present a new exact approach to the stable set problem, which avoids the pitfalls of existing approaches based on linear and semidefinite programming. The main idea is to construct an ellipsoid which contains the stable set polytope, in such a way that the upper bound obtained by optimising over the ellipsoid is equal to the Lovasz theta number. This ellipsoid can then be used to construct useful convex programming relaxations of the stable set problem or, more interestingly, to derive cutting planes. These cutting planes turn out to be remarkably strong and easy to generate.

KW - stable set problem

KW - semidefinite programming

KW - convex quadratic programming

KW - cutting planes.

M3 - Working paper

T3 - Management Science Working Paper Series

BT - A new approach to the stable set problem based on ellipsoids

PB - The Department of Management Science

CY - Lancaster University

ER -