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An approximation algorithm for the maximum cut problem and its experimental analysis

机译:最大割问题的一种近似算法及其实验分析

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摘要

An approximation algorithm for the maximum cut problem is designed and analyzed; its performance is experimentally compared with that of a neural algorithm and that of Goemans and Williamson's algorithm. Although the guaranteed quality of our algorithm in the worst-case analysis is poor we give experimental evidence that its average behavior is better than that of Goemans and Williamson's algorithm.
机译:设计并分析了最大割问题的近似算法。实验上将其性能与神经算法以及Goemans和Williamson算法的性能进行了比较。尽管在最坏情况分析中我们算法的保证质量很差,但我们提供了实验证据,表明其平均行为优于Goemans和Williamson算法。

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