Exponential bounds for DPLL below the satisfiability threshold

  • Authors:
  • Dimitris Achlioptas;Paul Beame;Michael Molloy

  • Affiliations:
  • Microsoft Research;Univ. of Washington;Univ. of Toronto

  • Venue:
  • SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
  • Year:
  • 2004

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Abstract

For each k ≤ 4, we give τk 0 such that a random k-CNF formula F with n variables and ⌊rkn⌋ clauses is satisfiable with high probability, but ORDERED-DLL takes exponential time on F with uniformly positive probability. Using results of [2], this can be strengthened to a high probability result for certain natural backtracking schemes and extended to many other DPLL algorithms.