Approximately Counting Approximately-Shortest Paths in Directed Acyclic Graphs

Matús Mihalák, Rastislav Šrámek*, Peter Widmayer

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Given a directed acyclic graph with non-negative edge-weights, two vertices s and t, and a threshold-weight L, we present a fully-polynomial time approximation-scheme for the problem of counting the s-t paths of length at most L. This is best possible, as we also show that the problem is #P-complete. We then show that, unless P=NP, there is no finite approximation to the bi-criteria version of the problem: count the number of s-t paths of length at most L (1) in the first criterion, and of length at most L (2) in the second criterion. On the positive side, we extend the approximation scheme for the relaxed version of the problem, where, given thresholds L (1) and L (2), we relax the requirement of the s-t paths to have length exactly at most L (1), and allow the paths to have length at most L (1') : = (1+delta)L (1), for any delta > 0.

Original languageEnglish
Pages (from-to)45-59
Number of pages15
JournalTheory of Computing Systems
Volume58
Issue number1
DOIs
Publication statusPublished - Jan 2016

Keywords

  • Approximation algorithms
  • Counting
  • Shortest paths
  • TANDEM MASS-SPECTROMETRY

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