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arXiv 1408.4048cs.DS
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投影对策的改进近似算法

Improved Approximation Algorithms for Projection Games

Pasin Manurangsi, Dana Moshkovitz

摘要:

投影对策(Label-Cover)问题在近似算法中具有重要意义,因为目前已知的NP-困难的近似结果大多是Label-Cover的约简。在本文中,我们设计了几个投影游戏的近似算法:1。一个多项式时间近似算法,改进了以前的最佳近似Charikar,Hajiaghayi和Karloff。2.光滑投影对策的一个次指数时间算法。3.平面图上投影对策的一个多项式时间近似方案(PTAS)和这种近似方案的一个紧运行时间下界。

英文摘要:

The projection games (aka Label-Cover) problem is of great importance to the field of approximation algorithms, since most of the NP-hardness of approximation results we know today are reductions from Label-Cover. In this paper we design several approximation algorithms for projection games: 1. A polynomial-time approximation algorithm that improves on the previous best approximation by Charikar, Hajiaghayi and Karloff. 2. A sub-exponential time algorithm with much tighter approximation for the case of smooth projection games. 3. A polynomial-time approximation scheme (PTAS) for projection games on planar graphs and a tight running time lower bound for such approximation schemes.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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