A comparison of the Sherali-Adams, Lov\\\\341sz-Schrijver and Lasserre relaxations for 0-1 programming

  • Authors:
  • Monique Laurent

  • Affiliations:
  • -

  • Venue:
  • A comparison of the Sherali-Adams, Lov\'\'\'\'341sz-Schrijver and Lasserre relaxations for 0-1 programming
  • Year:
  • 2001

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Abstract

Sherali and Adams [SA90], Lov\''asz and Schrijver [LS91] and, recently, Lasserre [Las01b] have proposed lift and project methods for constructing hierarchies of successive linear or semidefinite relaxations of a $0-1$ polytope $P\subseteq \oR^n$ 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.