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题名Approximation Algorithms for the Maximum Weight Internal Spanning Tree Problem
作者
发表日期2019-11-01
发表期刊Algorithmica
ISSN/eISSN0178-4617
卷号81期号:11-12页码:4167-4199
摘要

Given a vertex-weighted connected graph G= (V, E) , the maximum weight internal spanning tree (MwIST for short) problem asks for a spanning tree T of G such that the total weight of internal vertices in T is 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 1 / 3 - ϵ, for any ϵ> 0. 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.

关键词Approximation algorithm Maximum weight internal spanning tree Maximum weight matching Performance analysis
DOI10.1007/s00453-018-00533-w
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收录类别SCIE
语种英语English
WOS研究方向Computer Science ; Mathematics
WOS类目Computer Science, Software Engineering ; Mathematics, Applied
WOS记录号WOS:000491938200002
Scopus入藏号2-s2.0-85058235451
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/13123
专题个人在本单位外知识产出
作者单位
1.Division of Information System Design,Tokyo Denki University,Hatoyama,350-0394,Japan
2.Department of Computing Science,University of Alberta,Edmonton,T6G 2E8,Canada
3.Department of Computer Science,City University of Hong Kong,Kowloon,83 Tat Chee Avenue,Hong Kong
4.City University of Hong Kong Shenzhen Research Institute,Shenzhen,Shenzhen Hi-Tech Industrial Park, Nanshan District,China
5.Institute of Operational Research and Cybernetics,Hangzhou Dianzi University,Hangzhou,310018,China
推荐引用方式
GB/T 7714
Chen, Zhi Zhong,Lin, Guohui,Wang, Lushenget al. Approximation Algorithms for the Maximum Weight Internal Spanning Tree Problem[J]. Algorithmica, 2019, 81(11-12): 4167-4199.
APA Chen, Zhi Zhong, Lin, Guohui, Wang, Lusheng, Chen, Yong, & Wang, Dan. (2019). Approximation Algorithms for the Maximum Weight Internal Spanning Tree Problem. Algorithmica, 81(11-12), 4167-4199.
MLA Chen, Zhi Zhong,et al."Approximation Algorithms for the Maximum Weight Internal Spanning Tree Problem". Algorithmica 81.11-12(2019): 4167-4199.
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