License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.SoCG.2023.64
URN: urn:nbn:de:0030-drops-179146
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/17914/
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Chubet, Oliver A. ; Macnichol, Paul ; Parikh, Parth ; Sheehy, Donald R. ; Sheth, Siddharth S.

Greedy Permutations and Finite Voronoi Diagrams (Media Exposition)

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LIPIcs-SoCG-2023-64.pdf (1 MB)


Abstract

We illustrate the computation of a greedy permutation using finite Voronoi diagrams. We describe the neighbor graph, which is a sparse graph data structure that facilitates efficient point location to insert a new Voronoi cell. This data structure is not dependent on a Euclidean metric space. The greedy permutation is computed in O(nlog Δ) time for low-dimensional data using this method [Sariel Har-Peled and Manor Mendel, 2006; Donald R. Sheehy, 2020].

BibTeX - Entry

@InProceedings{chubet_et_al:LIPIcs.SoCG.2023.64,
  author =	{Chubet, Oliver A. and Macnichol, Paul and Parikh, Parth and Sheehy, Donald R. and Sheth, Siddharth S.},
  title =	{{Greedy Permutations and Finite Voronoi Diagrams}},
  booktitle =	{39th International Symposium on Computational Geometry (SoCG 2023)},
  pages =	{64:1--64:5},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-273-0},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{258},
  editor =	{Chambers, Erin W. and Gudmundsson, Joachim},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/17914},
  URN =		{urn:nbn:de:0030-drops-179146},
  doi =		{10.4230/LIPIcs.SoCG.2023.64},
  annote =	{Keywords: greedy permutation, Voronoi diagrams}
}

Keywords: greedy permutation, Voronoi diagrams
Collection: 39th International Symposium on Computational Geometry (SoCG 2023)
Issue Date: 2023
Date of publication: 09.06.2023
Supplementary Material: Audiovisual: https://youtu.be/zMlpHV6Y1SM


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