Online Search for a Hyperplane in High-Dimensional Euclidean Space
Computational Geometry
2021-09-10 v1 Data Structures and Algorithms
Abstract
We consider the online search problem in which a server starting at the origin of a -dimensional Euclidean space has to find an arbitrary hyperplane. The best-possible competitive ratio and the length of the shortest curve from which each point on the -dimensional unit sphere can be seen are within a constant factor of each other. We show that this length is in .
Cite
@article{arxiv.2109.04340,
title = {Online Search for a Hyperplane in High-Dimensional Euclidean Space},
author = {Antonios Antoniadis and Ruben Hoeksma and Sándor Kisfaludi-Bak and Kevin Schewior},
journal= {arXiv preprint arXiv:2109.04340},
year = {2021}
}
Comments
Pages: 7, Figures: 2