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Approximation Algorithms for Metric Facility Location and k-Median Problems Using the Primal-Dual Schema and Lagrangian Relaxation

机译:使用原始对偶图式和拉格朗日松弛法的公制设施定位和k中值问题的近似算法

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摘要

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 complete bipartite graph on cities and facilities.
机译:我们针对度量能力丧失的设施位置问题和度量k中值问题分别给出了保证3和6的近似算法。我们算法的显着特点是运行时间短。分别为O(m log m)和O(m log m(L + log(n))),其中n和m是城市和设施的基础完整二部图中的顶点和边的总数。

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