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A Deterministic Bicriteria Approximation Algorithm for the Art Gallery Problem

Computational Geometry 2026-04-16 v2 Discrete Mathematics Data Structures and Algorithms

Abstract

Given a polygon HH in the plane, the art gallery problem calls for fining the smallest set of points in HH from which every other point in HH is seen. We give a deterministic algorithm that, given any polygon HH with hh holes, nn rational veritces of maximum bit-length LL, and a parameter δ(0,1)\delta \in(0,1), is guaranteed to find a set of points in HH of size O(\OPTlog(h+2)log(\OPTlog(h+2)))O\big(\OPT\cdot\log(h+2)\cdot\log (\OPT\cdot\log(h+2))) that sees at least a (1δ)(1-\delta)-fraction of the area of the polygon. The running time of the algorithm is polynomial in hh, nn, LL and log(1δ)\log(\frac{1}{\delta}), where \OPT\OPT is the size of an optimum solution.

Keywords

Cite

@article{arxiv.2512.23297,
  title  = {A Deterministic Bicriteria Approximation Algorithm for the Art Gallery Problem},
  author = {Khaled Elbassioni},
  journal= {arXiv preprint arXiv:2512.23297},
  year   = {2026}
}
R2 v1 2026-07-01T08:44:01.731Z