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Complete Convergence of Message Passing Algorithms for Some Satisfiability Problems

机译:某些满意问题的消息传递算法的完全收敛

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摘要

Experimental results show that certain message passing algorithms, namely, survey propagation, are very effective in finding satisfying assignments in random satisfiable 3CNF formulas. In this paper we make a modest step towards providing rigorous analysis that proves the effectiveness of message passing algorithms for random 3SAT. We analyze the performance of Warning Propagation, a popular message passing algorithm that is simpler than survey propagation. We show that for 3CNF formulas generated under the planted assignment distribution, running warning propagation in the standard way works when the clause-to-variable ratio is a sufficiently large constant. We are not aware of previous rigorous analysis of message passing algorithms for satisfiability instances, though such analysis was performed for decoding of Low Density Parity Check (LDPC) Codes. We discuss some of the differences between results for the LDPC setting and our results.
机译:实验结果表明,某些消息传递算法(即调查传播)对于在随机可满足的3CNF公式中找到令人满意的分配非常有效。在本文中,我们朝着提供严格的分析迈出了适度的一步,以证明随机3SAT消息传递算法的有效性。我们分析了警告传播的性能,警告传播是一种比调查传播更简单的流行消息传递算法。我们显示出,对于在种植分配分布下生成的3CNF公式,当子句与变量之比为足够大的常数时,以标准方式运行警告传播即可。我们不知道以前对可满足性实例的消息传递算法进行过严格的分析,尽管这种分析是为解码低密度奇偶校验(LDPC)码而进行的。我们讨论了LDPC设置结果与我们的结果之间的一些差异。

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