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  • 标题:Algorithms for SAT based on search in Hamming balls
  • 本地全文:下载
  • 作者:Evgeny Dantsin ; Edward Hirsch ; Alexander Wolpert
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2003
  • 卷号:2003
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:We present a simple randomized algorithm for SAT and prove an upper bound on its running time. Given a Boolean formula F in conjunctive normal form, the algorithm finds a satisfying assignment for F (if any) by repeating the following: Choose an assignment A at random and search for a satisfying assignment inside a Hamming ball around A (the radius of the ball depends on F). We show that this algorithm solves SAT with a small probability of error in at most 2^{n - 0.712\sqrt{n}} steps, where n is the number of variables in F. We also derandomize this algorithm using covering codes instead of random assignments. The deterministic algorithm solves SAT in at most 2^{n - 2\sqrt{n/\log_2 n}} steps. To the best of our knowledge, this is the first non-trivial bound for a deterministic SAT algorithm.
  • 关键词:Boolean satisfiability
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