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Approximation of max independent set, min vertex cover and related problems by moderately exponential algorithms

机译:用中等指数算法逼近最大独立集,最小顶点覆盖及相关问题

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摘要

Using ideas and results from polynomial time approximation and exact computation we design approximation algorithms for several NP-hard combinatorial problems achieving ratios that cannot be achieved in polynomial time (unless a very unlikely complexity conjecture is confirmed) with worst-case complexity much lower (though super-polynomial) than that of an exact computation. We study in particular two paradigmatic problems, max independent set and min vertex cover.
机译:利用多项式时间逼近和精确计算的思想和结果,我们为几个NP-hard组合问题设计了逼近算法,以达到在多项式时间内无法实现的比率(除非确定了非常不可能的复杂性猜想),而最坏情况下的复杂性却低得多超多项式),而不是精确的计算。我们特别研究两个范式问题,最大独立集和最小顶点覆盖。

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