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DOI: 10.4230/LIPIcs.SoCG.2017.29

On Bend-Minimized Orthogonal Drawings of Planar 3-Graphs

Authors: Yi-Jun Chang and Hsu-Chun Yen

Published in: LIPIcs, Volume 77, 33rd International Symposium on Computational Geometry (SoCG 2017)

Abstract

An orthogonal drawing of a graph is a planar drawing where each edge is drawn as a sequence of horizontal and vertical line segments. Finding a bend-minimized orthogonal drawing of a planar graph of maximum degree 4 is NP-hard. The problem becomes tractable for planar graphs of maximum degree 3, and the fastest known algorithm takes O(n^5 log n) time. Whether a faster algorithm exists has been a long-standing open problem in graph drawing. In this paper we present an algorithm that takes only O~(n^{17/7}) time, which is a significant improvement over the previous state of the art.

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Yi-Jun Chang and Hsu-Chun Yen. On Bend-Minimized Orthogonal Drawings of Planar 3-Graphs. In 33rd International Symposium on Computational Geometry (SoCG 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 77, pp. 29:1-29:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InProceedings{chang_et_al:LIPIcs.SoCG.2017.29,
  author =	{Chang, Yi-Jun and Yen, Hsu-Chun},
  title =	{{On Bend-Minimized Orthogonal Drawings of Planar 3-Graphs}},
  booktitle =	{33rd International Symposium on Computational Geometry (SoCG 2017)},
  pages =	{29:1--29:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-038-5},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{77},
  editor =	{Aronov, Boris and Katz, Matthew J.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2017.29},
  URN =		{urn:nbn:de:0030-drops-72080},
  doi =		{10.4230/LIPIcs.SoCG.2017.29},
  annote =	{Keywords: Bend minimization, graph drawing, orthogonal drawing, planar graph}
}

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On Bend-Minimized Orthogonal Drawings of Planar 3-Graphs

Abstract

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