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SAT Modulo Theories: Getting the Best of SAT and Global Constraint Filtering

机译:SAT模理论:充分利用SAT和全局约束过滤

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摘要

The propositional satisfiability problem (SAT) is one of the simplest instances of Constraint Programming (CP): variables are bi-valued (can only take values 0 or 1), and all constraints are clauses (disjunctions of literals) like x V (y-) V (z-) (meaning that x = 1 or y = 0 or z = 0). In spite of its simplicity, SAT has become very important for practical applications, especially in the multi-billion industry of electronic design automation (EDA), and, in general, hardware and software verification.
机译:命题可满足性问题(SAT)是约束编程(CP)的最简单实例之一:变量是双值(只能取值0或1),并且所有约束都是子句(文字的析取),如x V(y -)V(z-)(表示x = 1或y = 0或z = 0)。尽管简单,但SAT对于实际应用已经变得非常重要,尤其是在数十亿电子设计自动化(EDA)行业以及总体而言,硬件和软件验证中。

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