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A Comparison of the Sherali-Adams, Lovász-Schrijver, and Lasserre Relaxations for 0–1 Programming

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Laurent, Monique·2003·Mathematics of Operations Research

Abstract

Sherali and Adams (1990), Lovász and Schrijver (1991) and, recently, Lasserre (2001b) have constructed hierarchies of successive linear or semidefinite relaxations of a 0–1 polytope P ⫅ ℝ n converging to P in n steps. Lasserre's approach uses results about representations of positive polynomials as sums of squares and the dual theory of moments. We present the three methods in a common elementary framework and show that the Lasserre construction provides the tightest relaxations of P. As an application this gives a direct simple proof for the convergence of the Lasserre's hierarchy. We describe applications to the stable set polytope and to the cut polytope.

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Metadata

Authors
Laurent, M.
Venue
Mathematics of Operations Research
Published
2003-08
Volume
28
Issue
3
Pages
470-496
ISSN
  • 0364-765X (ISSN-L)
  • 1526-5471
OpenAlex
W2077397558
Cited by
373
References
22
FWCI
14.25
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A Comparison of the Sherali-Adams, Lovász-Schrijver, and Lasserre Relaxations for 0–1 Programming. https://app.cochat.ai/papers/10.1287/moor.28.3.470.16391
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Laurent, M. (2003). A Comparison of the Sherali-Adams, Lovász-Schrijver, and Lasserre Relaxations for 0–1 Programming. Mathematics of Operations Research. https://doi.org/10.1287/moor.28.3.470.16391

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