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On exact selection of minimally unsatisfiable subformulae

机译:精确选择最小不满意的子公式

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摘要

A minimally unsatisfiable subformula (MUS) is a subset of clauses of a given CNF formula which is unsatisfiable but becomes satisfiable as soon as any of its clauses is removed. The selection of a MUS is of great relevance in many practical applications. This expecially holds when the propositional formula encoding the application is required to have a well-defined satisfiability property (either to be satisfiable or to be unsatisfiable). While selection of a MUS is a hard problem in general, we show classes of formulae where this problem can be solved efficiently. This is done by using a variant of Farkas' lemma and solving a linear programming problem. Successful results on real-world contradiction detection problems are presented.
机译:最小不满足子公式(MUS)是给定CNF公式的子句的子集,该子集是不满足的,但只要删除其任何子句,就可以满足。在许多实际应用中,MUS的选择具有重要意义。当要求对应用程序进行编码的命题公式必须具有明确定义的可满足性(可满足或不可满足)时,这一点特别适用。通常,选择MUS是一个难题,但我们展示了可以有效解决此问题的公式类别。这是通过使用Farkas引理的变体并解决线性规划问题来完成的。提出了在现实世界中的矛盾检测问题的成功结果。

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