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.2022.68
URN: urn:nbn:de:0030-drops-160760
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/16076/
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Ghosh, Anirban ; Shariful, FNU ; Wisnosky, David

Visualizing WSPDs and Their Applications (Media Exposition)

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LIPIcs-SoCG-2022-68.pdf (0.5 MB)

Abstract

Introduced by Callahan and Kosaraju back in 1995, the concept of well-separated pair decomposition (WSPD) has occupied a special significance in computational geometry when it comes to solving distance problems in d-space. We present an in-browser tool that can be used to visualize WSPDs and several of their applications in 2-space. Apart from research, it can also be used by instructors for introducing WSPDs in a classroom setting. The tool will be permanently maintained by the third author at https://wisno33.github.io/VisualizingWSPDsAndTheirApplications/.

BibTeX - Entry

@InProceedings{ghosh_et_al:LIPIcs.SoCG.2022.68,
  author =	{Ghosh, Anirban and Shariful, FNU and Wisnosky, David},
  title =	{{Visualizing WSPDs and Their Applications}},
  booktitle =	{38th International Symposium on Computational Geometry (SoCG 2022)},
  pages =	{68:1--68:4},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-227-3},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{224},
  editor =	{Goaoc, Xavier and Kerber, Michael},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/16076},
  URN =		{urn:nbn:de:0030-drops-160760},
  doi =		{10.4230/LIPIcs.SoCG.2022.68},
  annote =	{Keywords: well-separated pair decomposition, nearest neighbor, geometric spanners, minimum spanning tree}
}

Keywords: well-separated pair decomposition, nearest neighbor, geometric spanners, minimum spanning tree
Collection: 38th International Symposium on Computational Geometry (SoCG 2022)
Issue Date: 2022
Date of publication: 01.06.2022
Supplementary Material: Software (Web-Application): https://wisno33.github.io/VisualizingWSPDsAndTheirApplications/

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