We consider a well studied generalization of the maximum clique problem which is defined as follows. Given a graph G on n vertices and an integer d ≥ 1, in the maximum diameter-bounded subgraph problem (MaxDBS for short), the goal is to find a (vertex) maximum subgraph of G of diameter at most d. For d = 1, this problem is equivalent to the maximum clique problem and thus it is NP-hard to approximate it within a factor n1-ϵ, for any ϵ > 0. Moreover, it is known that, for any d ≥ 2, it is NP-hard to approximate MaxDBS within a factor n1/2-ϵ, for any ϵ > 0. In this paper we focus on MaxDBS for the class of unit disk graphs. We provide a polynomial-time constant-factor approximation algorithm for the problem. The approximation ratio of our algorithm does not depend on the diameter d. Even though the algorithm itself is simple, its analysis is rather involved. We combine tools from the theory of hypergraphs with bounded VC-dimension, k-quasi planar graphs, fractional Helly theorems and several geometric properties of unit disk graphs.

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34th International Symposium on Computational Geometry, SoCG 2018
Computational Geometry Lab

Abu-Affash, A.K. (A. Karim), Carmi, P. (Paz), Maheshwari, A, Morin, P, Smid, M, & Smorodinsky, S. (Shakhar). (2018). Approximating maximum diameter-bounded subgraph in unit disk graphs. In Leibniz International Proceedings in Informatics, LIPIcs (pp. 21–212). doi:10.4230/LIPIcs.SoCG.2018.2