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SIMPLEX PARTITIONING VIA EXPONENTIAL CLOCKS AND THE MULTIWAY-CUT PROBLEM

机译:通过指数时钟和多向剪切问题的单纯x分区

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摘要

The Multiway-Cut problem is a fundamental graph partitioning problem in which the objective is to find a minimum weight set of edges disconnecting a given set of special vertices called terminals. This problem is NP-hard and there is a well-known geometric relaxation in which the graph is embedded into a high dimensional simplex. Rounding a solution to the geometric relaxation is equivalent to partitioning the simplex. We present a novel simplex partitioning algorithm which is based on two ingredients: competing exponential clocks and distortion. Unlike previous methods, it utilizes cuts that are not parallel to the faces of the simplex. Applying this partitioning algorithm to the multiway cut problem, we obtain a simple (4/3)-approximation algorithm, thus, improving upon the current best-known result. This bound is further pushed to obtain an approximation factor of 1.32388. It is known that under the assumption of the unique games conjecture, the best possible approximation for the Multiway-Cut problem can be attained via the geometric relaxation.
机译:多交流问题是一种基本的图形分区问题,其中目的是找到断开给定的一组特殊顶点的一组名为终端的特殊顶点的最小重量集。这个问题是NP - 硬,并且存在着名的几何松弛,其中嵌入到高维单纯x中。舍入几何松弛的解决方案相当于分区单纯x。我们提出了一种新颖的单纯性分区算法,其基于两种成分:竞争指重时钟和失真。与以前的方法不同,它利用不平行于单纯x的面部的剪切。将该分区算法应用于多道切割问题,我们获得了一个简单(4/3) - 千克估计算法,从而提高了当前最着名的结果。进一步推动该绑定以获得1.32388的近似因子。众所周知,在独特的游戏猜想的假设下,可以通过几何松弛来实现多向切割问题的最佳可能近似。

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