压缩词的上下文匹配

Adrià Gascón, Guillem Godoy, M. Schmidt-Schauß
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引用次数: 21

摘要

本文研究了项方程s = t的匹配问题,其中s包含上下文变量和一阶变量,并且用某种压缩表示给出了项s和t。当问题的不同上下文变量的数量固定时,主要结果是一个多项式时间的上下文匹配算法。当使用更一般的单例树语法形式表示项时,就获得了np完备性。作为证明的一个组成部分,我们还证明了单树语法一阶匹配的特殊情况在多项式时间内是可判定的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Context Matching for Compressed Terms
This paper is an investigation of the matching problem for term equations s = t where s contains context variables and first-order variables, and both terms s and t are given using some kind of compressed representation. The main result is a polynomial time algorithm for context matching with dags, when the number of different context variables is fixed for the problem. NP-completeness is obtained when the terms are represented using the more general formalism of singleton tree grammars. As an ingredient of this proof, we also show that the special case of first-order matching with singleton tree grammars is decidable in polynomial time.
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