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A Monte Carlo Algorithm for the Satisfiability Problem

机译:一种可满足问题的蒙特卡罗算法

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摘要

Recently a randomized algorithm based on Davis and Putnam Procedure was designed in [16] for the purpose of solving the satisfiability problem. In this letter another mOnte Carlo algorithm followign from an original algorithm [4] is proposed. The average performance of the algorithm is polynomial and the probability that the algorithm fails to yield a correct answer for some data is less than #epsilon#. Results are compared with those given in [16] and show an interesting performance for our algorithm.
机译:最近,在[16]中设计了一种基于Davis和Putnam程序的随机算法,以解决可满足性问题。在这封信中,提出了来自原始算法[4]的另一个Monte Carlo算法。算法的平均性能是多项式,算法未能为某些数据产生正确答案的概率小于#epsilon#。结果与[16]中给出的结果进行了比较,并为我们的算法表现出有趣的性能。

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