A Better Algorithm for Random $k$-SAT

  • Authors:
  • Amin Coja-Oghlan

  • Affiliations:
  • A.Coja-Oghlan@warwick.ac.uk

  • Venue:
  • SIAM Journal on Computing
  • Year:
  • 2010

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Abstract

Let $\boldsymbol{\Phi}$ be a uniformly distributed random $k$-SAT formula with $n$ variables and $m$ clauses. We present a polynomial time algorithm that finds a satisfying assignment of $\boldsymbol{\Phi}$ with high probability for constraint densities $m/nJ. Algorithms, 20 (1996), pp. 312-355].