On approximating the d-girth of a graph

David Peleg, Ignasi Sau, Mordechai Shalom

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For a finite, simple, undirected graph G and an integer d ≥ 1, a mindeg-d subgraph is a subgraph of G of minimum degree at least d. The d-girth of G, denoted g d (G), is the minimum size of a mindeg-d subgraph of G. It is a natural generalization of the usual girth, which coincides with the 2-girth. The notion of d-girth was proposed by Erdos et al. [13, 14] and Bollobás and Brightwell [7] over 20 years ago, and studied from a purely combinatorial point of view. Since then, no new insights have appeared in the literature. Recently, first algorithmic studies of the problem have been carried out [2,4]. The current article further explores the complexity of finding a small mindeg-d subgraph of a given graph (that is, approximating its d-girth), by providing new hardness results and the first approximation algorithms in general graphs, as well as analyzing the case where G is planar.

Original languageEnglish
Title of host publicationSOFSEM 2011
Subtitle of host publicationTheory and Practice of Computer Science - 37th Conference on Current Trends in Theory and Practice of Computer Science, Proceedings
Pages467-481
Number of pages15
DOIs
StatePublished - 2011
Externally publishedYes
Event37th International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2011 - Novy Smokovec, Slovakia
Duration: 22 Jan 201128 Jan 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6543 LNCS

Conference

Conference37th International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2011
Country/TerritorySlovakia
CityNovy Smokovec
Period22/01/1128/01/11

Keywords

  • approximation algorithm
  • generalized girth
  • hardness of approximation
  • minimum degree
  • planar graph
  • randomized algorithm

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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