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Fast fencing

Published: 20 June 2018 Publication History

Abstract

We consider very natural ”fence enclosure” problems studied by Capoyleas, Rote, and Woeginger and Arkin, Khuller, and Mitchell in the early 90s. Given a set S of n points in the plane, we aim at finding a set of closed curves such that (1) each point is enclosed by a curve and (2) the total length of the curves is minimized. We consider two main variants. In the first variant, we pay a unit cost per curve in addition to the total length of the curves. An equivalent formulation of this version is that we have to enclose n unit disks, paying only the total length of the enclosing curves. In the other variant, we are allowed to use at most k closed curves and pay no cost per curve.
For the variant with at most k closed curves,we present an algorithm that is polynomialin bothn andk. For the variant with unit cost per curve, or unit disks, we presenta near-linear time algorithm.
Capoyleas, Rote, and Woeginger solved the problem with at most k curves in nO(k) time. Arkin, Khuller, and Mitchell used this to solve the unit cost per curve version in exponential time. At the time, they conjectured that the problem with k curves is NP-hard for general k. Our polynomial time algorithm refutes this unless P equals NP.

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References

[1]
Mikkel Abrahamsen, Anna Adamaszek, Karl Bringmann, Vincent Cohen-Addad, Mehran Mehr, Eva Rotenberg, Alan Roytman, and Mikkel Thorup. 2018. Fast Fencing. CoRR abs/1804.00101 (2018).
[2]
Mikkel Abrahamsen, Mark de Berg, Kevin Buchin, Mehran Mehr, and Ali D. Mehrabi. 2017. Minimum perimeter-sum partitions in the plane. In Proceedings of the 33rd International Symposium on Computational Geometry. 4:1–4:15.
[3]
Pankaj K. Agarwal and Micha Sharir. 1998. Efficient algorithms for geometric optimization. Comput. Surveys 30, 4 (1998), 412–458.
[4]
Esther M. Arkin, Samir Khuller, and Joseph S. B. Mitchell. 1993.
[5]
Geometric knapsack problems. Algorithmica 10, 5 (1993), 399–427.
[6]
Babak Behsaz and Mohammad R. Salavatipour. 2015. On minimum sum of radii and diameters clustering. Algorithmica 73, 1 (2015), 143–165.
[7]
Vasilis Capoyleas, Günter Rote, and Gerhard Woeginger. 1991. Geometric clusterings. Journal of Algorithms 12, 2 (1991), 341–356.
[8]
Mark de Berg, Marc van Kreveld, Mark Overmars, and Otfried Cheong. 2008.
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Computational geometry: algorithms and applications (3rd edition). Springer-Verlag.
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Stephen G. Dicke and Britt Hubbard. 2008. Tree protection standards in construction sites. (2008).
[11]
The Forest and Wildlife Research Center, Mississippi State University Extension Service, http://fwrc.msstate.edu/pubs/treeprotection.pdf.
[12]
Matt Gibson, Gaurav Kanade, Erik Krohn, Imran A. Pirwani, and Kasturi Varadarajan. 2012.
[13]
On clustering to minimize the sum of radii. SIAM J. Comput. 41, 1 (2012), 47–60.
[14]
Sariel Har-Peled. 2011.
[15]
Geometric approximation algorithms. Vol. 173. American Mathematical Society.
[16]
Joseph S. B. Mitchell. 2017. Private communication. (2017).

Cited By

View all
  • (2024)Exact and heuristic solutions for the prize‐collecting geometric enclosure problemInternational Transactions in Operational Research10.1111/itor.1342831:4(2093-2122)Online publication date: 13-Jan-2024
  • (2020)Geometric Multicut: Shortest Fences for Separating Groups of Objects in the PlaneDiscrete & Computational Geometry10.1007/s00454-020-00232-wOnline publication date: 11-Aug-2020
  • (2019)Minimum Perimeter-Sum Partitions in the PlaneDiscrete & Computational Geometry10.1007/s00454-019-00059-0Online publication date: 6-Feb-2019

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cover image ACM Conferences
STOC 2018: Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing
June 2018
1332 pages
ISBN:9781450355599
DOI:10.1145/3188745
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 June 2018

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Author Tags

  1. Geometric Clustering
  2. Minimum Perimeter Sum

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STOC '18
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STOC '18: Symposium on Theory of Computing
June 25 - 29, 2018
CA, Los Angeles, USA

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Cited By

View all
  • (2024)Exact and heuristic solutions for the prize‐collecting geometric enclosure problemInternational Transactions in Operational Research10.1111/itor.1342831:4(2093-2122)Online publication date: 13-Jan-2024
  • (2020)Geometric Multicut: Shortest Fences for Separating Groups of Objects in the PlaneDiscrete & Computational Geometry10.1007/s00454-020-00232-wOnline publication date: 11-Aug-2020
  • (2019)Minimum Perimeter-Sum Partitions in the PlaneDiscrete & Computational Geometry10.1007/s00454-019-00059-0Online publication date: 6-Feb-2019

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