A Constant Approximation for Colorful k-Center
July 21, 2019 Β· Declared Dead Β· π Embedded Systems and Applications
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Authors
Sayan Bandyapadhyay, Tanmay Inamdar, Shreyas Pai, Kasturi Varadarajan
arXiv ID
1907.08906
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.CG
Citations
44
Venue
Embedded Systems and Applications
Last Checked
3 months ago
Abstract
In this paper, we consider the colorful $k$-center problem, which is a generalization of the well-known $k$-center problem. Here, we are given red and blue points in a metric space, and a coverage requirement for each color. The goal is to find the smallest radius $Ο$, such that with $k$ balls of radius $Ο$, the desired number of points of each color can be covered. We obtain a constant approximation for this problem in the Euclidean plane. We obtain this result by combining a "pseudo-approximation" algorithm that works in any metric space, and an approximation algorithm that works for a special class of instances in the plane. The latter algorithm uses a novel connection to a certain matching problem in graphs.
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