Exponentially hard problems are sometimes polynomial, a large deviation analysis of search algorithms for the random satisfiability problem, and its application to stop-and-restart resolutions

Simona Cocco and Rémi Monasson
Phys. Rev. E 66, 037101 – Published 19 September 2002
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Abstract

A large deviation analysis of the solving complexity of random 3-satisfiability instances slightly below threshold is presented. While finding a solution for such instances demands an exponential effort with high probability, we show that an exponentially small fraction of resolutions require a computation scaling linearly in the size of the instance only. This exponentially small probability of easy resolutions is analytically calculated, and the corresponding exponent is shown to be smaller (in absolute value) than the growth exponent of the typical resolution time. Our study therefore gives some theoretical basis to heuristic stop-and-restart solving procedures, and suggests a natural cutoff (the size of the instance) for the restart.

  • Received 20 February 2002

DOI:https://doi.org/10.1103/PhysRevE.66.037101

©2002 American Physical Society

Authors & Affiliations

Simona Cocco1 and Rémi Monasson2

  • 1CNRS–Laboratoire de Dynamique des Fluides Complexes, 3 rue de l’Université, 67000 Strasbourg, France
  • 2CNRS–Laboratoire de Physique Théorique de l’ENS, 24 rue Lhomond, 75005 Paris, France

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Vol. 66, Iss. 3 — September 2002

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