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Faster Exact Solving of SAT Formulae with a Low Number of Occurrences per Variable

机译:更快地求解SAT公式,每变量的出现数量较少

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We present an algorithm that decides the satisfiability of a formula F on CNF form in time O(1.1279~((d-2)n)), if F has at most d occurrences per variable or if F has an average of d occurrences per variable and no variable occurs only once. For d ≤ 4, this is better than previous results. This is the first published algorithm that is explicitly constructed to be efficient for cases with a low number of occurrences per variable. Previous algorithms that are applicable to this case exist, but as these are designed for other (more general, or simply different) cases, their performance guarantees for this case are weaker.
机译:我们提出了一种算法,该算法在时间o(1.1279〜((d-2)n))中确定了CNF形式上的公式f的可满足性,如果F至每变量最多,或者f的平均每变量且没有变量仅发生一次。对于D≤4,这比以前的结果更好。这是第一个发布的算法,该算法被明确地构造成高效,用于每个变量出现较少的情况。以前适用于这种情况的先前算法,但由于这些案例设计(更普遍或简单的)案例,因此对这种情况的性能保证较弱。

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