On some variants of Euclidean k-supplier

被引:0
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作者
Lee, Euiwoong [1 ]
Nagarajan, Viswanath [2 ]
Wang, Lily [2 ]
机构
[1] Univ Michigan, Comp Sci & Engn, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Ind & Operat Engn, Ann Arbor, MI 48109 USA
关键词
k-center; Clustering; Outliers; Euclidean spaces; Approximation algorithms; Hardness of approximation; ALGORITHMS;
D O I
10.1016/j.orl.2022.01.003
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
The k-Supplier problem is an important location problem that has been actively studied in both general and Euclidean metrics. Many of its variants have also been studied, primarily on general metrics. We study two variants of k-Supplier, namely Priority k-Supplier and k-Supplier with Outliers, in Euclidean metrics. We obtain (1 + root 3)-approximation algorithms for both variants, which are the first improvements over the previously-known factor-3 approximation (that is known to be best-possible for general metrics). We also study the Matroid Supplier problem on Euclidean metrics, and show that it cannot be approximated to a factor better than 3 (assuming P not equal NP); so the Euclidean metric offers no improvement in this case. (C) 2022 Elsevier B.V. All rights reserved.
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页码:115 / 121
页数:7
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