On the query complexity of clique size and maximum satisfiability

Richard Chang
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引用次数: 13

Abstract

The paper explores the bounded query complexity of approximating the size of the maximum clique in a graph (clique size) and the number of simultaneously satisfiable clauses in a 3CNF formula (MAX3SAT). The results show that for certain approximation factors, approximating clique size and MAX3SAT are complete for corresponding bounded query classes under metric reductions. The completeness result is important because it shows that queries and approximation are interchangeable: NP queries can be used to solve NP-approximation problems and solutions to NP-approximation problems answer queries to NP oracles. Completeness also shows the existence of approximation preserving reductions from many NP-approximation problems to approximating clique size and MAX3SAT (e.g., from approximating chromatic number to approximating clique size). Finally, since query complexity is a quantitative complexity measure, these results also provide a framework for comparing the complexities of approximating clique size and approximating MAX3SAT.<>
关于团大小的查询复杂度和最大可满足性
本文探讨了逼近图中最大团的大小(团的大小)和3CNF公式中同时可满足子句的数目(MAX3SAT)的有界查询复杂度。结果表明,对于某些近似因子,在度量约简下,对于相应的有界查询类,近似团大小和MAX3SAT是完整的。完备性结果很重要,因为它表明查询和近似是可以互换的:NP查询可以用来解决NP逼近问题,而NP逼近问题的解可以回答对NP预言机的查询。完备性还表明存在从许多np逼近问题到逼近团大小和MAX3SAT(例如,从逼近色数到逼近团大小)的近似保留约简。最后,由于查询复杂性是一种定量的复杂性度量,因此这些结果也为比较近似团大小和近似MAX3SAT的复杂性提供了一个框架。
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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