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A Constant Approximation for Colorful k-Center

arXiv 1907.08906 ↗First posted 21 Jul 2019cs.DS cs.CGcited by 7

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Abstract (arXiv)

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 ρ, such that with k balls of radius ρ, 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.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Jul 2019.

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Citing papers per year: 2021: 2; 2022: 1; 2023: 1; 2024: 2; 2025: 1.

7 papers.