Improved algorithms for the k simple shortest paths and the replacement paths problems

Zvi Gotthilf, Moshe Lewenstein

Research output: Contribution to journalArticlepeer-review

57 Scopus citations

Abstract

Given a directed, non-negatively weighted graph G = (V, E) and s, t ∈ V, we consider two problems. In the k simple shortest paths problem, we want to find the k simple paths from s to t with the k smallest weights. In the replacement paths problem, we want the shortest path from s to t that avoids e, for every edge e in the original shortest path from s to t. The best known algorithm for the k simple shortest paths problem has a running of O (k (m n + n2 log n)). For the replacement paths problem the best known result is the trivial one running in time O (m n + n2 log n). In this paper we present two simple algorithms for the replacement paths problem and the k simple shortest paths problem in weighted directed graphs (using a solution of the All Pairs Shortest Paths problem). The running time of our algorithm for the replacement paths problem is O (m n + n2 log log n). For the k simple shortest paths we will perform O (k) iterations of the second simple shortest path (each in O (m n + n2 log log n) running time) using a useful property of Roditty and Zwick [L. Roditty, U. Zwick, Replacement paths and k simple shortest paths in unweighted directed graphs, in: Proc. of International Conference on Automata, Languages and Programming (ICALP), 2005, pp. 249-260]. These running times immediately improve the best known results for both problems over sparse graphs. Moreover, we prove that both the replacement paths and the k simple shortest paths (for constant k) problems are not harder than APSP (All Pairs Shortest Paths) in weighted directed graphs.

Original languageEnglish
Pages (from-to)352-355
Number of pages4
JournalInformation Processing Letters
Volume109
Issue number7
DOIs
StatePublished - 16 Mar 2009

Keywords

  • Algorithms
  • Replacement paths
  • Shortest paths
  • Weighted directed graphs
  • k simple shortest paths

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