A Theory-Based Decision Heuristic for DPLL(T)

Dan Goldwasser, O. Strichman, S. Fine
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引用次数: 11

Abstract

We study the decision problem of disjunctive linear arithmetic over the reals from the perspective of computational geometry. We show that traversing the linear arrangement induced by the formula's predicates, rather than the DPLL(T) method of traversing the Boolean space, may have an advantage when the number of variables is smaller than the number of predicates (as it is indeed the case in the standard SMT-Lib benchmarks). We then continue by showing a branching heuristic that is based on approximating T-implications, based on a geometric analysis. We achieve modest improvement in run time comparing to the commonly used heuristic used by competitive solvers.
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基于理论的DPLL(T)决策启发式算法
从计算几何的角度研究了实数上的析取线性算法的判定问题。我们展示了遍历由公式的谓词引起的线性排列,而不是遍历布尔空间的DPLL(T)方法,当变量的数量小于谓词的数量时可能具有优势(正如标准SMT-Lib基准测试中的情况一样)。然后,我们继续展示一个分支启发式,它基于近似t含义,基于几何分析。与竞争求解器常用的启发式算法相比,我们在运行时间上取得了适度的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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