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When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ESA.2017.52
URN: urn:nbn:de:0030-drops-78608
URL: http://drops.dagstuhl.de/opus/volltexte/2017/7860/
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Kaplan, Haim ; Roy, Sasanka ; Sharir, Micha

Finding Axis-Parallel Rectangles of Fixed Perimeter or Area Containing the Largest Number of Points

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Abstract

Let P be a set of n points in the plane in general position, and consider the problem of finding an axis-parallel rectangle with a given perimeter, or area, or diagonal, that encloses the maximum number of points of P. We present an exact algorithm that finds such a rectangle in O(n^{5/2} log n) time, and, for the case of a fixed perimeter or diagonal, we also obtain (i) an improved exact algorithm that runs in O(nk^{3/2} log k) time, and (ii) an approximation algorithm that finds, in O(n+(n/(k epsilon^5))*log^{5/2}(n/k)log((1/epsilon) log(n/k))) time, a rectangle of the given perimeter or diagonal that contains at least (1-epsilon)k points of P, where k is the optimum value. We then show how to turn this algorithm into one that finds, for a given k, an axis-parallel rectangle of smallest perimeter (or area, or diagonal) that contains k points of P. We obtain the first subcubic algorithms for these problems, significantly improving the current state of the art.

BibTeX - Entry

@InProceedings{kaplan_et_al:LIPIcs:2017:7860,
  author =	{Haim Kaplan and Sasanka Roy and Micha Sharir},
  title =	{{Finding Axis-Parallel Rectangles of Fixed Perimeter or Area Containing the Largest Number of Points}},
  booktitle =	{25th Annual European Symposium on Algorithms (ESA 2017)},
  pages =	{52:1--52:13},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-049-1},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{87},
  editor =	{Kirk Pruhs and Christian Sohler},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7860},
  URN =		{urn:nbn:de:0030-drops-78608},
  doi =		{10.4230/LIPIcs.ESA.2017.52},
  annote =	{Keywords: Computational geometry, geometric optimization, rectangles, perimeter, area}
}

Keywords: Computational geometry, geometric optimization, rectangles, perimeter, area
Seminar: 25th Annual European Symposium on Algorithms (ESA 2017)
Issue Date: 2017
Date of publication: 31.08.2017


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