发表状态 | 已发表Published |
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/eISSN | 0178-4617 |
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 |
DOI | 10.1007/s00453-018-00533-w |
URL | 查看来源 |
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 | |
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. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论