On the approximability of graph visibility problems
Davide Bil\`o, Alessia Di Fonso, Gabriele Di Stefano, Stefano Leucci

TL;DR
This paper investigates the computational complexity of graph visibility problems, providing polynomial algorithms for certain cases and establishing strong inapproximability bounds for others, highlighting their difficulty in general.
Contribution
The paper introduces a polynomial-time algorithm for large mutual-visibility sets and proves inapproximability results for various visibility problems based on graph diameter.
Findings
Polynomial algorithm for mutual-visibility set size based on average distance
Inapproximability of visibility problems within certain ratios for diameter ≥ 2
Stronger inapproximability bounds for graphs with diameter ≥ 3
Abstract
Visibility problems have been investigated for a long time under different assumptions as they pose challenging combinatorial problems and are connected to robot navigation problems. The mutual-visibility problem in a graph of vertices asks to find the largest set of vertices , also called -set, such that for any two vertices , there is a shortest -path where all internal vertices of are not in . This means that and are visible w.r.t. . Variations of this problem are known as total, outer, and dual mutual-visibility problems, depending on the visibility property of vertices inside and/or outside . The mutual-visibility problem and all its variations are known to be -complete on graphs of diameter . In this paper, we design a polynomial-time algorithm that finds a -set with size $\Omega\left(…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputational Geometry and Mesh Generation · Data Visualization and Analytics · Computer Graphics and Visualization Techniques
