Approximation algorithms for MAX SAT: Yannakakis vs. Goemans-Williamson

Takao Asano
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引用次数: 43

Abstract

MAX SAT (the maximum satisfiability problem) is stated as follows: given a set of clauses with weights, find a truth assignment that maximizes the sum of the weights of the satisfied clauses. In this paper, we consider approximation algorithms for MAX SAT proposed by Yannnkakis and Goemans-Williamson and present an approximation algorithm which is an improvement of Yannakakis' algorithm. Although Yannakakis' original algorithm has no better performance guarantee than Goemans-Williamson, our improved algorithm has a better performance guarantee and leads to a 0.770 approximation algorithm.
MAX SAT的近似算法:Yannakakis vs. Goemans-Williamson
MAX SAT(最大可满足性问题)的表述如下:给定一组具有权重的子句,找出一个使满足子句的权重总和最大化的真值赋值。本文考虑了Yannnkakis和Goemans-Williamson提出的MAX SAT近似算法,提出了一种改进Yannakakis算法的近似算法。虽然Yannakakis的原始算法没有比Goemans-Williamson更好的性能保证,但我们改进的算法有更好的性能保证,得到了0.770近似算法。
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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