Minimum Sum Vertex Cover: Kernelization and Parameterized Algorithms

Jingyi Liu, Yixin Cao, Ling Gai, Jianxin Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Given an ordering of the vertices of a graph, the cost of covering an edge is the smaller number of its two ends. The minimum sum vertex cover problem asks for an ordering that minimizes the total cost of covering all edges. We consider parameterized complexity of this problem, using the largest cost k of covering a single edge as the parameter. Note that the first k vertices form a (not necessarily minimal) vertex cover of the graph, and the ordering of vertices after k is irrelevant. We present a (k2+2k)-vertex kernel and an O(m+2kk!k4)-time algorithm for the minimum sum vertex cover problem, where m is the size of the input graph. Since our parameter k is polynomially bounded by the vertex cover number of the input graph, our results also apply to that parameterization.

Original languageEnglish
Title of host publicationComputing and Combinatorics - 30th International Conference, COCOON 2024, Proceedings
EditorsYong Chen, Xiaofeng Gao, Xiaoming Sun, An Zhang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages140-150
Number of pages11
ISBN (Print)9789819610891
DOIs
Publication statusPublished - 2025
Event30th International Computing and Combinatorics Conference, COCOON 2024 - Shanghai, China
Duration: 23 Aug 202425 Aug 2024

Publication series

NameLecture Notes in Computer Science
Volume15161 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference30th International Computing and Combinatorics Conference, COCOON 2024
Country/TerritoryChina
CityShanghai
Period23/08/2425/08/24

Keywords

  • Buss reduction
  • Minimum sum vertex cover
  • vertex cover

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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