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.SWAT.2016.6
URN: urn:nbn:de:0030-drops-60296
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2016/6029/
Banik, Aritra ;
Bhattacharya, Binay ;
Das, Sandip ;
Kameda, Tsunehiko ;
Song, Zhao
The p-Center Problem in Tree Networks Revisited
Abstract
We present two improved algorithms for weighted discrete p-center problem for tree networks with n vertices. One of our proposed algorithms runs in O(n*log(n) + p*log^2(n) * log(n/p)) time. For all values of p, our algorithm thus runs as fast as or faster than the most efficient O(n*log^2(n)) time algorithm obtained by applying Cole's [1987] speed-up technique to the algorithm due to Megiddo and Tamir [1983], which has remained unchallenged for nearly 30 years.
Our other algorithm, which is more practical, runs in O(n*log(n) + p^2*log^2(n/p)) time, and when p=O(sqrt(n)) it is faster than Megiddo and Tamir's O(n*log^2(n) * log(log(n))) time algorithm [1983].
BibTeX - Entry
@InProceedings{banik_et_al:LIPIcs:2016:6029,
author = {Aritra Banik and Binay Bhattacharya and Sandip Das and Tsunehiko Kameda and Zhao Song},
title = {{The p-Center Problem in Tree Networks Revisited}},
booktitle = {15th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2016)},
pages = {6:1--6:15},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-011-8},
ISSN = {1868-8969},
year = {2016},
volume = {53},
editor = {Rasmus Pagh},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2016/6029},
URN = {urn:nbn:de:0030-drops-60296},
doi = {10.4230/LIPIcs.SWAT.2016.6},
annote = {Keywords: Facility location, p-center, parametric search, tree network, sorting network}
}
Keywords: |
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Facility location, p-center, parametric search, tree network, sorting network |
Collection: |
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15th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2016) |
Issue Date: |
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2016 |
Date of publication: |
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22.06.2016 |