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Exponential bounds for DPLL below the satisfiability threshold
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Source Symposium on Discrete Algorithms archive
Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms table of contents
New Orleans, Louisiana
SESSION: Session 1C table of contents
Pages: 139 - 140  
Year of Publication: 2004
ISBN:0-89871-558-X
Authors
Dimitris Achlioptas  Microsoft Research
Paul Beame  Univ. of Washington
Michael Molloy  Univ. of Toronto
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
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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.



Collaborative Colleagues:
Dimitris Achlioptas: colleagues
Paul Beame: colleagues
Michael Molloy: colleagues