A Constant Approximation for Colorful k-Center

July 21, 2019 Β· Declared Dead Β· πŸ› Embedded Systems and Applications

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

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 $ρ$, 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.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Data Structures & Algorithms

Died the same way β€” πŸ‘» Ghosted