A note on minimum-sum coverage by aligned disks
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In this paper, we consider a facility location problem to find a minimum-sum coverage of n points by disks centered at a fixed line. The cost of a disk with radius r has the form of a nondecreasing function f(r)=r^@a for any @a>=1. The goal is to find a set of disks in any L"p-metric such that the disks are centered on the x-axis, their union covers the points, and the sum of the cost of the disks is minimized. Alt et al. [1] presented an algorithm running in O(n^4logn) time for any @a>1 in any L"p-metric. We present a faster algorithm that runs in O(n^2logn) time for any @a>1 and any L"p-metric.
[1] D. T. Lee,et al. Two-Dimensional Voronoi Diagrams in the Lp-Metric , 1980, J. ACM.
[2] Mark de Berg,et al. Computational geometry: algorithms and applications , 1997 .
[3] Esther M. Arkin,et al. Minimum-cost coverage of point sets by disks , 2006, SCG '06.