All Pairs Shortest Paths for Graphs with Small Integer Length Edges

Zvi Galil, Oded Margalit

Research output: Contribution to journalArticlepeer-review

61 Scopus citations

Abstract

The authors have solved the all pairs shortest distances (APSD) problem for graphs with integer edge lengths. Our algorithm is subcubic for edge lengths of small ( ≤ M) absolute value. In this paper we show how to transform these algorithms to solve the all pairs shortest paths (APSP), in the same time complexity, up to a polylogarithmic factor. For n = |V| the number of vertices, M the bound on edge length, and w the exponent of matrix multiplication, we get the following results: 1. A directed nonnegative APSP(n, M) algorithm which runs in Õ(T(n, M)) time, where (Formula Presented) 2. An undirected APSP(n, M) algorithm which runs in Õ(M(ω + 1)/2nω log(Mn)) time. 3. A general APSP(n, M) algorithm which runs in Õ((Mn)(3 + Iω)/2). ] 1997 Academic Press.

Original languageEnglish
Pages (from-to)243-254
Number of pages12
JournalJournal of Computer and System Sciences
Volume54
Issue number2
DOIs
StatePublished - 1 Jan 1997
Externally publishedYes

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science
  • Computer Networks and Communications
  • Computational Theory and Mathematics
  • Applied Mathematics

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