Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH scholarly article en Csikós, Mónika; Mustafa, Nabil H. https://www.dagstuhl.de/lipics License: Creative Commons Attribution 4.0 license (CC BY 4.0)
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URN: urn:nbn:de:0030-drops-138273
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Escaping the Curse of Spatial Partitioning: Matchings with Low Crossing Numbers and Their Applications

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Abstract

Given a set system (X, S), constructing a matching of X with low crossing number is a key tool in combinatorics and algorithms. In this paper we present a new sampling-based algorithm which is applicable to finite set systems. Let n = |X|, m = | S| and assume that X has a perfect matching M such that any set in 𝒮 crosses at most κ = Θ(n^γ) edges of M. In the case γ = 1- 1/d, our algorithm computes a perfect matching of X with expected crossing number at most 10 κ, in expected time Õ (n^{2+(2/d)} + mn^(2/d)).
As an immediate consequence, we get improved bounds for constructing low-crossing matchings for a slew of both abstract and geometric problems, including many basic geometric set systems (e.g., balls in ℝ^d). This further implies improved algorithms for many well-studied problems such as construction of ε-approximations. Our work is related to two earlier themes: the work of Varadarajan (STOC '10) / Chan et al. (SODA '12) that avoids spatial partitionings for constructing ε-nets, and of Chan (DCG '12) that gives an optimal algorithm for matchings with respect to hyperplanes in ℝ^d.
Another major advantage of our method is its simplicity. An implementation of a variant of our algorithm in C++ is available on Github; it is approximately 200 lines of basic code without any non-trivial data-structure. Since the start of the study of matchings with low-crossing numbers with respect to half-spaces in the 1980s, this is the first implementation made possible for dimensions larger than 2.

BibTeX - Entry

@InProceedings{csikos_et_al:LIPIcs.SoCG.2021.28,
  author =	{Csik\'{o}s, M\'{o}nika and Mustafa, Nabil H.},
  title =	{{Escaping the Curse of Spatial Partitioning: Matchings with Low Crossing Numbers and Their Applications}},
  booktitle =	{37th International Symposium on Computational Geometry (SoCG 2021)},
  pages =	{28:1--28:17},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-184-9},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{189},
  editor =	{Buchin, Kevin and Colin de Verdi\`{e}re, \'{E}ric},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/13827},
  URN =		{urn:nbn:de:0030-drops-138273},
  doi =		{10.4230/LIPIcs.SoCG.2021.28},
  annote =	{Keywords: Matchings, crossing numbers, approximations}
}

Keywords: Matchings, crossing numbers, approximations
Seminar: 37th International Symposium on Computational Geometry (SoCG 2021)
Issue date: 2021
Date of publication: 02.06.2021
Supplementary Material: Software (Source Code): https://github.com/csikosm/LowCrossingMatchings archived at: https://archive.softwareheritage.org/swh:1:dir:527290e997b57b959e879363b26dd9218906f3a8


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