An approximation algorithm for maximum internal spanning tree

Zhi-Zhong Chen*, Youta Harada, Fei Guo, Lusheng Wang

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Given a graph G, the maximum internal spanning tree problem (MIST for short) asks for computing a spanning tree T of G such that the number of internal vertices in T is maximized. MIST has possible applications in the design of cost-efficient communication networks and water supply networks and hence has been extensively studied in the literature. MIST is NP-hard and hence a number of polynomial-time approximation algorithms have been designed for MIST in the literature. The previously best polynomial-time approximation algorithm for MIST achieves a ratio of 3/4. In this paper, we first design a simpler algorithm that achieves the same ratio and the same time complexity as the previous best. We then refine the algorithm into a new approximation algorithm that achieves a better ratio (namely, 13/17) with the same time complexity. Our new algorithm explores much deeper structure of the problem than the previous best. As our recent 1/2-approximation algorithm for the weighted version of the problem shows, the discovered structure may be used to design better algorithms for related problems.
Original languageEnglish
Title of host publicationWALCOM
Subtitle of host publicationAlgorithms and Computation
EditorsSheung-Hung Poon, Md. Saidur Rahman, Hsu-Chun Yen
PublisherSpringer International Publishing 
Pages385-396
ISBN (Electronic)9783319539256
ISBN (Print)9783319539249
DOIs
Publication statusPublished - Mar 2017
Event11th International Conference and Workshops on Algorithms and Computation, WALCOM 2017 - Hsinchu, Taiwan, China
Duration: 29 Mar 201731 Mar 2017

Publication series

NameLecture Notes in Computer Science
Volume10167
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference and Workshops on Algorithms and Computation, WALCOM 2017
PlaceTaiwan, China
CityHsinchu
Period29/03/1731/03/17

Research Keywords

  • Time Complexity
  • Approximation Algorithm
  • Span Tree
  • Tree Component
  • Edge Incident

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