Constant-factor approximation algorithms for domination problems on circle graphs

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Abstract

A graph G = (V, E) is called a circle graph if there is a one- to-one correspondence between vertices in V and a set C of chords in a circle such that two vertices in V are adjacent if and only if the corresponding chords in C intersect. A subset V' of V is a dominating set of G if for all u ∈ V either u ∈ V' or u has a neighbor in V'. In addition, if G[V'] is connected, then V' is called a connected dominating set; if G[V'] has no isolated vertices, then V' is called a total dominating set. Keil (Discrete Applied Mathematics, 42 (1993), 51-63) shows that the minimum dominating set problem (MDS), the minimum connected dominating set problem (MCDS) and the minimum total domination problem (MTDS) are all NP-complete even for circle graphs. He mentions designing approximation algorithms for these problems as being open. This paper presents O(1)-approximation algorithms for all three problems — MDS, MCDS, and MTDS on circle graphs. For any circle graph with n vertices and m edges, these algorithms take O(n2 + nm) time and O(n2) space. These results, along with the result on the hardness of approximating minimum independent dominating set on circle graphs (Damian-Iordache and Pemmaraju, in this proceedings) advance our understanding of domination problems on circle graphs significantly.

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Damian-Iordache, M., & Pemmaraju, S. V. (1999). Constant-factor approximation algorithms for domination problems on circle graphs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1741, pp. 70–82). Springer Verlag. https://doi.org/10.1007/3-540-46632-0_8

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