License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ICALP.2017.124
URN: urn:nbn:de:0030-drops-74398
URL: https://drops.dagstuhl.de/opus/volltexte/2017/7439/
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Bringmann, Karl ; Dueholm Hansen, Thomas ; Krinninger, Sebastian

Improved Algorithms for Computing the Cycle of Minimum Cost-to-Time Ratio in Directed Graphs

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Abstract

We study the problem of finding the cycle of minimum cost-to-time ratio in a directed graph with n nodes and m edges. This problem has a long history in combinatorial optimization and has recently seen interesting applications in the context of quantitative verification. We focus on strongly polynomial algorithms to cover the use-case where the weights are relatively large compared to the size of the graph. Our main result is an algorithm with running time ~O(m^{3/4} n^{3/2}), which gives the first improvement over Megiddo's ~O(n^3) algorithm [JACM'83] for sparse graphs (We use the notation ~O(.) to hide factors that are polylogarithmic in n.) We further demonstrate how to obtain both an algorithm with running time n^3/2^{Omega(sqrt(log n)} on general graphs and an algorithm with running time ~O(n) on constant treewidth graphs. To obtain our main result, we develop a parallel algorithm for negative cycle detection and single-source shortest paths that might be of independent interest.

BibTeX - Entry

@InProceedings{bringmann_et_al:LIPIcs:2017:7439,
  author =	{Karl Bringmann and Thomas Dueholm Hansen and Sebastian Krinninger},
  title =	{{Improved Algorithms for Computing the Cycle of Minimum Cost-to-Time Ratio in Directed Graphs}},
  booktitle =	{44th International Colloquium on Automata, Languages, and Programming (ICALP 2017)},
  pages =	{124:1--124:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-041-5},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{80},
  editor =	{Ioannis Chatzigiannakis and Piotr Indyk and Fabian Kuhn and Anca Muscholl},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7439},
  URN =		{urn:nbn:de:0030-drops-74398},
  doi =		{10.4230/LIPIcs.ICALP.2017.124},
  annote =	{Keywords: quantitative verification and synthesis, parametric search, shortest paths, negative cycle detection}
}

Keywords: quantitative verification and synthesis, parametric search, shortest paths, negative cycle detection
Collection: 44th International Colloquium on Automata, Languages, and Programming (ICALP 2017)
Issue Date: 2017
Date of publication: 07.07.2017

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