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arXiv 2007.08057math.COcs.DM
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簇顶点删除问题的紧逼近算法

A Tight Approximation Algorithm for the Cluster Vertex Deletion Problem

Manuel Aprile, Matthew Drescher, Samuel Fiorini, Tony Huynh

摘要:

我们给出了簇顶点删除问题的第一个$2$ -近似算法。这是严格的,因为在任何小于$2$的常数因子内近似问题是UGC困难的。我们的算法结合了以前的方法,基于本地比率技术和管理的真正的双胞胎,与一个新的建设的“好”的费用函数的顶点上的距离最多$2$从任何顶点的输入图。作为一个额外的贡献,我们还研究了集群顶点删除多面体的角度来看,我们证明几乎匹配的上限和下界如何以及线性规划松弛可以近似的问题。

英文摘要:

We give the first $2$-approximation algorithm for the cluster vertex deletion problem. This is tight, since approximating the problem within any constant factor smaller than $2$ is UGC-hard. Our algorithm combines the previous approaches, based on the local ratio technique and the management of true twins, with a novel construction of a 'good' cost function on the vertices at distance at most $2$ from any vertex of the input graph. As an additional contribution, we also study cluster vertex deletion from the polyhedral perspective, where we prove almost matching upper and lower bounds on how well linear programming relaxations can approximate the problem.

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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