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DOI: 10.4230/LIPIcs.ICALP.2016.81
URN: urn:nbn:de:0030-drops-62040
URL: http://drops.dagstuhl.de/opus/volltexte/2016/6204/
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Backurs, Arturs ; Dikkala, Nishanth ; Tzamos, Christos

Tight Hardness Results for Maximum Weight Rectangles

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LIPIcs-ICALP-2016-81.pdf (0.6 MB)


Abstract

Given n weighted points (positive or negative) in d dimensions, what is the axis-aligned box which maximizes the total weight of the points it contains? The best known algorithm for this problem is based on a reduction to a related problem, the Weighted Depth problem [Chan, FOCS, 2013], and runs in time O(n^d). It was conjectured [Barbay et al., CCCG, 2013] that this runtime is tight up to subpolynomial factors. We answer this conjecture affirmatively by providing a matching conditional lower bound. We also provide conditional lower bounds for the special case when points are arranged in a grid (a well studied problem known as Maximum Subarray problem) as well as for other related problems. All our lower bounds are based on assumptions that the best known algorithms for the All-Pairs Shortest Paths problem (APSP) and for the Max-Weight k-Clique problem in edge-weighted graphs are essentially optimal.

BibTeX - Entry

@InProceedings{backurs_et_al:LIPIcs:2016:6204,
  author =	{Arturs Backurs and Nishanth Dikkala and Christos Tzamos},
  title =	{{Tight Hardness Results for Maximum Weight Rectangles}},
  booktitle =	{43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016)},
  pages =	{81:1--81:13},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-013-2},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{55},
  editor =	{Ioannis Chatzigiannakis and Michael Mitzenmacher and Yuval Rabani and Davide Sangiorgi},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/6204},
  URN =		{urn:nbn:de:0030-drops-62040},
  doi =		{10.4230/LIPIcs.ICALP.2016.81},
  annote =	{Keywords: Maximum Rectangles, Hardness in P}
}

Keywords: Maximum Rectangles, Hardness in P
Seminar: 43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016)
Issue Date: 2016
Date of publication: 17.08.2016


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