Improved Exponential Algorithms for SAT and ClSP

Improved Exponential Algorithms for SAT and ClSP
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改进的 SAT 和 ClSP 指数算法

DOI:
10.3929/ethz-a-010512781
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发表时间:
2015
期刊:
影响因子:
1.1
通讯作者:
Timon Hertli
Timon Hertli
中科院分区:
计算机科学4区
文献类型:
--
作者:
Timon Hertli

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布尔公式的可满足性(SAT)是最突出的np完全问题之一。我们考虑k- sat,一个决策问题,它询问大小最多为k的子句的合取范式(CNF)公式是否可满足,以及一个更一般的问题,称为(d, k)ClSP(子句满足问题),其中变量是d值而不是布尔值。对于k- sat和(d, k)-ClSP,已经提出了许多算法,其运行时间在输入公式的变量数量上是“适度指数”的。其中最快的k-SAT随机化算法是由Paturi, Pudlak, Saks, and Zane (FOCS 1998)提出的PPSZ算法。我们重新分析了PPSZ算法,并表明在输入公式最多有一个令人满意的赋值(唯一k- sat)的情况下所显示的界一般成立,而以前只知道k≥5。我们还展示了如何将PPSZ推广到(d, k)-ClSP,改进了之前大多数考虑(d, k)值的算法。此外,我们还提出了一种新的基于PPSZ的3-SAT算法,该算法具有指数更好的界。对于一般k,我们证明了为了提高k- sat的PPSZ,提高唯一k- sat的PPSZ就足够了。
Satisfiability of Boolean formulas (SAT) is one of the most prominent NP-complete problems. We consider k-SAT, the decision problem that asks whether formulas in conjunctive normal form (CNF) with clauses of size at most k are satisfiable, and the more general problem called (d, k)ClSP (clause satisfaction problem) where the variables are d-valued instead of Boolean. For k-SAT and (d, k)-ClSP many algorithms have been presented whose running time is “moderately exponential” in the number of variables of the input formula. One of the fastest randomized algorithm for k-SAT is the PPSZ algorithm by Paturi, Pudlak, Saks, and Zane (FOCS 1998). We re-analyze the PPSZ algorithm and show that the bounds shown in the case where the input formula has at most one satisfying assignment (Unique k-SAT) hold in general, which was previously only known for k ≥ 5. We also show how to generalize PPSZ to (d, k)-ClSP, improving on the previous algorithms for most considered values of (d, k). Furthermore, we present a new algorithm based on PPSZ with exponentially better bounds for 3-SAT. For general k we show that in order to improve on PPSZ for k-SAT, it is enough to improve on PPSZ for Unique k-SAT.
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DOI: --
发表时间: 2010
期刊: Proceedings of the 21^<st> International Symposium on Algorithms and Computation, LNCS
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DOI: --
发表时间: 2008
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