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

  • Authors:
  • Monique Laurent

  • Affiliations:
  • -

  • Venue:
  • Mathematics of Operations Research
  • Year:
  • 2003

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Abstract

Sherali and Adams (1990), Lov脙隆sz and Schrijver (1991) and, recently, Lasserre (2001b) have constructed hierarchies of successive linear or semidefinite relaxations of a 0--1 polytopePâ聤聠R n converging toP inn 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 ofP. 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.