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A Constant Approximation for Colorful k-Center
Conference proceeding   Open access

A Constant Approximation for Colorful k-Center

Sayan Bandyapadhyay, Tanmay Inamdar, Shreyas Pai and Kasturi Varadarajan
Leibniz International Proceedings in Informatics, LIPIcs, Vol.144
07/20/2019
DOI: 10.4230/lipics.esa.2019.12
url
https://doi.org/10.4230/lipics.esa.2019.12View
Published (Version of record) Open Access

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 $\rho$, such that with $k$ balls of radius $\rho$, 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.
Algorithms Computational Geometry Computer Science Data Structures

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