Approximation Algorithms for the Maximum Weight Internal Spanning Tree Problem

Approximation Algorithms for the Maximum Weight Internal Spanning Tree Problem
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最大权内部生成树问题的近似算法

DOI:
10.1007/s00453-018-00533-w
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发表时间:
2016-08
期刊:
影响因子:
1.1
通讯作者:
Wang Dan
Wang Dan
中科院分区:
计算机科学4区
文献类型:
--
作者:
Chen Zhi-Zhong;Lin Guohui;Wang Lusheng;Chen Yong;Wang Dan

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给定一个顶点加权的连通图,最大权值内部生成树(简称MwIST)问题要求生成树tof使内部顶点的总权值最大化。未加权的变体,表示为MIST,是NP-hard和APX-hard,目前最好的近似算法已被证明具有13 / 17的性能比。目前最好的MwIST近似算法的性能比为。在本文中,我们提出了一种基于MwIST和最大权值匹配之间的新关系的简单算法,并表明它达到了明显更好的近似比1/2。对于无爪图,我们设计了一个7/12近似算法。
Given a vertex-weighted connected graph, the maximum weight internal spanning tree (MwIST for short) problem asks for a spanning treeTofGsuch that the total weight of internal vertices inTis maximized. The unweighted variant, denoted as MIST, is NP-hard and APX-hard, and the currently best approximation algorithm has a proven performance ratio of 13 / 17. The currently best approximation algorithm for MwIST only has a performance ratio of, for any. In this paper, we present a simple algorithm based on a novel relationship between MwIST and maximum weight matching, and show that it achieves a significantly better approximation ratio of 1/2. When restricted to claw-free graphs, a special case previously studied, we design a 7/12-approximation algorithm.
DOI: 10.1007/978-3-319-21840-3_41
发表时间: 2014-12
期刊: ArXiv
影响因子: --
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影响因子: 1.1
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