Single source shortest paths in H-minor free graphs

Research output: Contribution to journalArticlepeer-review

Abstract

We present an algorithm for the Single Source Shortest Paths (SSSP) problem in directed H-minor free graphs. For every fixed H, if G is a graph with n vertices having integer edge lengths and s is a designated source vertex of G, the algorithm runs in O(n11.5-2logL)≤O(n1.392logL) time, where L is the absolute value of the smallest edge length. The algorithm computes the shortest paths and the distances from s to all vertices of the graph, or else provides a certificate that G is not H-minor free. Our result improves an earlier O(n1.5logL) time algorithm for this problem, which follows from a general SSSP algorithm of Goldberg.

Original languageEnglish
Pages (from-to)3042-3047
Number of pages6
JournalTheoretical Computer Science
Volume411
Issue number34-36
DOIs
StatePublished - 17 Jul 2010

Keywords

  • H-minor free graphs
  • Shortest paths

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

Fingerprint

Dive into the research topics of 'Single source shortest paths in H-minor free graphs'. Together they form a unique fingerprint.

Cite this