度量设施定位和k-中值问题的原对偶逼近算法

K. Jain, V. Vazirani
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引用次数: 283

摘要

我们提出了度量无能力设施定位问题和度量k-中值问题的近似算法,分别实现了3和6的保证。我们的算法的显著特征是它们的低运行时间:分别为O(m log m)和O(m log m(L+log(n))),其中n和m是底层图中顶点和边的总数。主要的算法思想是对原对偶模式的一种新的扩展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Primal-dual approximation algorithms for metric facility location and k-median problems
We present approximation algorithms for the metric uncapacitated facility location problem and the metric k-median problem achieving guarantees of 3 and 6 respectively. The distinguishing feature of our algorithms is their low running time: O(m log m) and O(m log m(L+log(n))) respectively, where n and m are the total number of vertices and edges in the underlying graph. The main algorithmic idea is a new extension of the primal-dual schema.
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