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Can rare SAT formulae be easily recognized? On the efficiency of message-passing algorithms for K-SAT at large clause-to-variable ratios

机译:难得的SAT公式容易识别吗?大子句-变量比下K-SAT消息传递算法的效率

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For large clause-to-variable ratios, typical K-SAT instances drawn from the uniform distribution have no solution. We argue, based on statistical mechanics calculations using the replica and cavity methods, that rare satisfiable instances from the uniform distribution are very similar to typical instances drawn from the so-called planted distribution, where instances are chosen uniformly between the ones that admit a given solution. It then follows, from a recent article by Feige, Mossel andVilenchik (2006 Complete convergence of message passing algorithms for some satisfiability problems Proc. Random 2006 pp 339-50), that these rare instances can be easily recognized (in O(log N) time and with probability close to 1) by a simple message-passing algorithm.
机译:对于较大的子句与变量比率,从均匀分布得出的典型K-SAT实例没有解决方案。我们认为,基于使用复制品和空腔方法的统计力学计算,均匀分布中的罕见可满足实例与从所谓的“种植分布”中抽取的典型实例非常相似,在这种情况下,实例是在允许给定给定值的实例之间均匀选择的解。然后,从Feige,Mossel和Vilenchik的最新文章(针对某些可满足性问题的消息传递算法的完全收敛,Proc.Random 2006 pp 339-50,2006年)可以得出,这些罕见的实例可以很容易地识别(在O(log N)中时间并以简单的消息传递算法接近1)。

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