A linear time approximation scheme for computing geometric maximum k-star
Document Type
Article
Publication Date
4-2013
Department
Department of Electrical and Computer Engineering
Abstract
Facility dispersion seeks to locate the facilities as far away from each other as possible, which has attracted a multitude of research attention recently due to the pressing need on dispersing facilities in various scenarios. In this paper, as a facility dispersion problem, the geometric maximum k-star problem is considered. Given a set P of n points in the Euclidean plane, a k-star is defined as selecting k points from P and linking k - 1 points to the center point. The maximum k-star problem asks to compute a k-star on P with the maximum total length over its k - 1 edges. A linear time approximation scheme is proposed for this problem. It approximates the maximum k-star within a factor of (1+ ∩) O(n+1/4 log 1)time for any > 0. To the best of the authors' knowledge, this work presents the first linear time approximation scheme on the facility dispersion problems.
Publication Title
Journal of Global Optimization
Recommended Citation
Wang, J.,
&
Hu, S.
(2013).
A linear time approximation scheme for computing geometric maximum k-star.
Journal of Global Optimization,
55(4), 849-855.
http://doi.org/10.1007/s10898-012-9867-6
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/4944