English

On Some Variants of Euclidean K-Supplier

Data Structures and Algorithms 2021-12-06 v1

Abstract

The kk-Supplier problem is an important location problem that has been actively studied in both general and Euclidean metrics. Many of its variants have also been studied, primarily on general metrics. We study two variants of kk-Supplier, namely Priority kk-Supplier and kk-Supplier with Outliers, in Euclidean metrics. We obtain (1+3)(1+\sqrt{3})-approximation algorithms for both variants, which are the first improvements over the previously-known factor-33 approximation (that is known to be best-possible for general metrics). We also study the Matroid Supplier problem on Euclidean metrics, and show that it cannot be approximated to a factor better than 33 (assuming PNPP\ne NP); so the Euclidean metric offers no improvement in this case.

Keywords

Cite

@article{arxiv.2112.01700,
  title  = {On Some Variants of Euclidean K-Supplier},
  author = {Euiwoong Lee and Viswanath Nagarajan and Lily Wang},
  journal= {arXiv preprint arXiv:2112.01700},
  year   = {2021}
}