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On Line-Separable Weighted Unit-Disk Coverage and Related Problems

Published 29 Jun 2024 in cs.CG and cs.DS | (2407.00329v1)

Abstract: Given a set PP of nn points and a set SS of nn weighted disks in the plane, the disk coverage problem is to compute a subset of disks of smallest total weight such that the union of the disks in the subset covers all points of PP. The problem is NP-hard. In this paper, we consider a line-separable unit-disk version of the problem where all disks have the same radius and their centers are separated from the points of PP by a line \ell. We present an O(n<sup>3/2log<sup>2</sup></sup>n)O(n<sup>{3/2}\log<sup>2</sup></sup> n) time algorithm for the problem. This improves the previously best work of O(n<sup>2log</sup>n)O(n<sup>2\log</sup> n) time. Our result leads to an algorithm of O(n<sup>7/2log<sup>2</sup></sup>n)O(n<sup>{{7}/{2}}\log<sup>2</sup></sup> n) time for the halfplane coverage problem (i.e., using nn weighted halfplanes to cover nn points), an improvement over the previous O(n<sup>4log</sup>n)O(n<sup>4\log</sup> n) time solution. If all halfplanes are lower ones, our algorithm runs in O(n<sup>3/2log<sup>2</sup></sup>n)O(n<sup>{{3}/{2}}\log<sup>2</sup></sup> n) time, while the previous best algorithm takes O(n<sup>2log</sup>n)O(n<sup>2\log</sup> n) time. Using duality, the hitting set problems under the same settings can be solved with similar time complexities.

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