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A Randomized Satisfiability Procedure for Arithmetic and Uninterpreted Function Symbols

机译:算术和未解释功能符号的随机可满足程序

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We present a new randomized algorithm for checking the satisfiability of a conjunction of literals in the combined theory of linear equalities and uninterpreted functions. The key idea of the algorithm is to process the literals incrementally and to maintain at all times a set of random variable assignments that satisfy the literals seen so far. We prove that this algorithm is complete (i.e., it identifies all unsatisfiable conjunctions) and is probabilistically sound (i.e., the probability that it fails to identify satisfiable conjunctions is very small). The algorithm has the ability to retract assumptions incrementally with almost no additional space overhead. The key advantage of the algorithm is its simplicity. We also show experimentally that the randomized algorithm has performance competitive with the existing deterministic symbolic algorithms.
机译:我们提出了一种新的随机算法,用于检查线性平衡和未解释功能的组合理论中文字结合的可靠性。该算法的关键思想是逐步处理文字,并在所有次满足到目前为止所见的随机可变分配的一组随机可变分配。我们证明了该算法是完整的(即,它识别所有不挑离的连接),并且是概率的声音(即它未能识别满足连词的可能性非常小)。该算法能够通过几乎没有额外的空间开销递增地互换假设。算法的关键优势是其简单性。我们还通过实验显示随机算法对现有的确定性符号算法具有竞争力。

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