License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.ATMOS.2023.12
URN: urn:nbn:de:0030-drops-187738
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18773/
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Matsubayashi, Akira ; Saito, Yushi

A Faster Algorithm for Recognizing Directed Graphs Invulnerable to Braess’s Paradox

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OASIcs-ATMOS-2023-12.pdf (0.8 MB)


Abstract

Braess’s paradox is a counterintuitive and undesirable phenomenon, in which for a given graph with prescribed source and sink vertices and cost functions for all edges, removal of edges decreases the cost of a Nash flow from source to sink. The problem of deciding if the phenomenon occurs is generally NP-hard. In this paper, we consider the problem of deciding if, for a given graph with prescribed source and sink vertices, Braess’s paradox does not occur for any cost functions. It is known that this problem can be solved in O(nm²) time for directed graphs, where n and m are the numbers of vertices and edges of the input graph, respectively. In this paper, we propose a faster O(m²) time algorithm solving this problem for directed graphs. Our approach is based on a simple implementation of a known characterization that the subgraph of a given graph induced by all source-sink paths is series-parallel. The faster running time is achieved by speeding up the simple implementation using another characterization that a certain structure is embedded in the given graph. Combined with a known technique, the proposed algorithm can also be used to design a faster O(km²) time algorithm for directed graphs with k source-sink pairs, which improves the previous O(knm²) time algorithm.

BibTeX - Entry

@InProceedings{matsubayashi_et_al:OASIcs.ATMOS.2023.12,
  author =	{Matsubayashi, Akira and Saito, Yushi},
  title =	{{A Faster Algorithm for Recognizing Directed Graphs Invulnerable to Braess’s Paradox}},
  booktitle =	{23rd Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2023)},
  pages =	{12:1--12:19},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-302-7},
  ISSN =	{2190-6807},
  year =	{2023},
  volume =	{115},
  editor =	{Frigioni, Daniele and Schiewe, Philine},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/18773},
  URN =		{urn:nbn:de:0030-drops-187738},
  doi =		{10.4230/OASIcs.ATMOS.2023.12},
  annote =	{Keywords: Braess’s paradox, series-parallel graph, route-induced graph, Nash flow}
}

Keywords: Braess’s paradox, series-parallel graph, route-induced graph, Nash flow
Collection: 23rd Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2023)
Issue Date: 2023
Date of publication: 31.08.2023


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