NAISS
SUPR
NAISS Projects
SUPR
Instance-Specific Approximation Ratios for 𝑘-Center
Dnr:

NAISS 2026/4-298

Type:

NAISS Small

Principal Investigator:

Thibault Marette

Affiliation:

Kungliga Tekniska högskolan

Start Date:

2026-02-13

End Date:

2026-06-01

Primary Classification:

10201: Computer Sciences

Webpage:

Allocation

Abstract

This project is conducted by a WASP PhD student (Thibault Marette) from Theoretical Computer Science (TCS) at KTH. It aims at complementing a paper submission. The paper presents a novel theoretical algorithm for computing instance-specific lower bounds for k-center, requiring experimental validation. We aim to run thorough experiments on large real-world datasets, to compare our algorithm with the state-of-the-art, on various metrics.