Deterministic sublinear-time approximations for metric 1-median selection
Given oracle access to an n-point metric space (M,d), let metric 1-median be the problem of finding argminx∈M∑y∈Md(x,y), breaking ties arbitrarily. We show that metric 1-median has a deterministic nonadaptive O(n3/2)-time 4-approximation algorithm. ► Metric 1-median asks for a point x in a metric sp...
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| Vydané v: | Information processing letters Ročník 113; číslo 8; s. 288 - 292 |
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Elsevier B.V
30.04.2013
Elsevier Sequoia S.A |
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| ISSN: | 0020-0190, 1872-6119 |
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| Abstract | Given oracle access to an n-point metric space (M,d), let metric 1-median be the problem of finding argminx∈M∑y∈Md(x,y), breaking ties arbitrarily. We show that metric 1-median has a deterministic nonadaptive O(n3/2)-time 4-approximation algorithm.
► Metric 1-median asks for a point x in a metric space (M,d) minimizing ∑y∈Md(x,y). ► This paper shows that metric 1-median has a deterministic nonadaptive O(n3/2)-time 4-approximation algorithm. ► Our result, which concerns deterministic algorithms, is not subsumed by that of Indyk (1999, 2000). ► Our result is not subsumed by those of Guha et al. (2003) because our algorithm is nonadaptive and 4-approximate. |
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| AbstractList | Given oracle access to an n-point metric space (M,d), let metric 1-median be the problem of finding ..., breaking ties arbitrarily. We show that metric 1-median has a deterministic nonadaptive O(n3/2)-time 4-approximation algorithm. (ProQuest: ... denotes formulae/symbols omitted.) Given oracle access to an n-point metric space (M,d), let metric 1-median be the problem of finding argminx∈M∑y∈Md(x,y), breaking ties arbitrarily. We show that metric 1-median has a deterministic nonadaptive O(n3/2)-time 4-approximation algorithm. ► Metric 1-median asks for a point x in a metric space (M,d) minimizing ∑y∈Md(x,y). ► This paper shows that metric 1-median has a deterministic nonadaptive O(n3/2)-time 4-approximation algorithm. ► Our result, which concerns deterministic algorithms, is not subsumed by that of Indyk (1999, 2000). ► Our result is not subsumed by those of Guha et al. (2003) because our algorithm is nonadaptive and 4-approximate. |
| Author | Chang, Ching-Lueh |
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| Cites_doi | 10.1137/070698257 10.1007/11523468_70 10.1137/070699007 10.1145/780547.780548 10.1006/jagm.2000.1117 10.1137/S0097539701383443 10.1145/1103963.1103968 10.1145/276698.276718 10.1016/j.socnet.2010.03.006 10.1137/08071990X 10.1007/s10107-004-0524-9 10.1007/s00454-006-1271-x 10.1016/j.comgeo.2004.03.003 10.1016/j.tcs.2011.12.003 10.1016/0378-8733(78)90021-7 10.1137/S0097539701398594 10.1002/rsa.20203 10.1016/j.tcs.2008.10.018 10.7155/jgaa.00081 10.1023/B:MACH.0000033114.18632.e0 10.1006/jcss.2002.1882 10.1137/S0097539797327908 10.1145/301250.301366 10.1145/1824777.1824779 10.1145/375827.375845 10.1007/978-3-642-03685-9_2 10.1137/S0097539703435716 10.1137/S0097539702416402 10.1137/S0097539702404055 10.1086/229694 10.1145/1667053.1667054 10.1137/1.9781611973082.3 10.1109/TKDE.2003.1198387 10.1109/SFFCS.1999.814635 |
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| Keywords | Sublinear-time algorithm Query complexity Metric space Metric 1-median selection Median selection Nonevasive algorithm Algorithm |
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| SubjectTerms | Algorithm Algorithms Approximation Mathematical problems Median selection Metric 1-median selection Metric space Nonevasive algorithm Query complexity Studies Sublinear-time algorithm Vector space |
| Title | Deterministic sublinear-time approximations for metric 1-median selection |
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