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.SoCG.2017.13
URN: urn:nbn:de:0030-drops-72214
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/7221/
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Barba, Luis ; Cardinal, Jean ; Iacono, John ; Langerman, Stefan ; Ooms, Aurélien ; Solomon, Noam

Subquadratic Algorithms for Algebraic Generalizations of 3SUM

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LIPIcs-SoCG-2017-13.pdf (1 MB)


Abstract

The 3SUM problem asks if an input n-set of real numbers contains a triple whose sum is zero. We consider the 3POL problem, a natural generalization of 3SUM where we replace the sum function by a constant-degree polynomial in three variables. The motivations are threefold. Raz, Sharir, and de Zeeuw gave an O(n^{11/6}) upper bound on the number of solutions of trivariate polynomial equations when the solutions are taken from the cartesian product of three n-sets of real numbers. We give algorithms for the corresponding problem of counting such solutions. Grønlund and Pettie recently designed subquadratic algorithms for 3SUM. We generalize their results to 3POL. Finally, we shed light on the General Position Testing (GPT) problem: "Given n points in the plane, do three of them lie on a line?", a key problem in computational geometry.

We prove that there exist bounded-degree algebraic decision trees of depth O(n^{12/7+e}) that solve 3POL, and that 3POL can be solved in O(n^2 (log log n)^{3/2} / (log n)^{1/2}) time in the real-RAM model. Among the possible applications of those results, we show how to solve GPT in subquadratic time when the input points lie on o((log n)^{1/6}/(log log n)^{1/2}) constant-degree polynomial curves. This constitutes the first step towards closing the major open question of whether GPT can be solved in subquadratic time. To obtain these results, we generalize important tools - such as batch range searching and dominance reporting - to a polynomial setting. We expect these new tools to be useful in other applications.

BibTeX - Entry

@InProceedings{barba_et_al:LIPIcs:2017:7221,
  author =	{Luis Barba and Jean Cardinal and John Iacono and Stefan Langerman and Aur{\'e}lien Ooms and Noam Solomon},
  title =	{{Subquadratic Algorithms for Algebraic Generalizations of 3SUM}},
  booktitle =	{33rd International Symposium on Computational Geometry (SoCG 2017)},
  pages =	{13:1--13:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-038-5},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{77},
  editor =	{Boris Aronov and Matthew J. Katz},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7221},
  URN =		{urn:nbn:de:0030-drops-72214},
  doi =		{10.4230/LIPIcs.SoCG.2017.13},
  annote =	{Keywords: 3SUM, subquadratic algorithms, general position testing, range searching, dominance reporting, polynomial curves}
}

Keywords: 3SUM, subquadratic algorithms, general position testing, range searching, dominance reporting, polynomial curves
Collection: 33rd International Symposium on Computational Geometry (SoCG 2017)
Issue Date: 2017
Date of publication: 20.06.2017


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