License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.MFCS.2018.77
URN: urn:nbn:de:0030-drops-96594
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9659/
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Akitaya, Hugo A. ; Jones, Matthew D. ; Stalfa, David ; Tóth, Csaba D.

Maximum Area Axis-Aligned Square Packings

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LIPIcs-MFCS-2018-77.pdf (0.8 MB)

Abstract

Given a point set S={s_1,... , s_n} in the unit square U=[0,1]^2, an anchored square packing is a set of n interior-disjoint empty squares in U such that s_i is a corner of the ith square. The reach R(S) of S is the set of points that may be covered by such a packing, that is, the union of all empty squares anchored at points in S.
It is shown that area(R(S))>= 1/2 for every finite set S subset U, and this bound is the best possible. The region R(S) can be computed in O(n log n) time. Finally, we prove that finding a maximum area anchored square packing is NP-complete. This is the first hardness proof for a geometric packing problem where the size of geometric objects in the packing is unrestricted.

BibTeX - Entry

@InProceedings{akitaya_et_al:LIPIcs:2018:9659,
  author =	{Hugo A. Akitaya and Matthew D. Jones and David Stalfa and Csaba D. T{\'o}th},
  title =	{{Maximum Area Axis-Aligned Square Packings}},
  booktitle =	{43rd International Symposium on Mathematical Foundations  of Computer Science (MFCS 2018)},
  pages =	{77:1--77:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-086-6},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{117},
  editor =	{Igor Potapov and Paul Spirakis and James Worrell},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9659},
  URN =		{urn:nbn:de:0030-drops-96594},
  doi =		{10.4230/LIPIcs.MFCS.2018.77},
  annote =	{Keywords: square packing, geometric optimization}
}

Keywords: square packing, geometric optimization
Collection: 43rd International Symposium on Mathematical Foundations of Computer Science (MFCS 2018)
Issue Date: 2018
Date of publication: 27.08.2018

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