Computing Subset Vertex Covers in H-Free Graphs
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2023-09-21
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Abstract
We consider a natural generalization of Vertex Cover: the Subset Vertex Cover problem, which is to decide for a graph G = (V,E), a subset T ⊆ V and integer k, if V has a subset S of size at most k, such that S contains at least one end-vertex of every edge incident to a vertex of T. A graph is H-free if it does not contain H as an induced subgraph. We solve two open problems from the literature by proving that Subset Vertex Cover is NP-complete on subcubic (claw,diamond)-free planar graphs and on 2-unipolar graphs, a subclass of 2P3-free weakly chordal graphs. Our results show for the first time that Subset Vertex Cover is computationally harder than Vertex Cover (under P = NP). We also prove new polynomial time results. We first give a dichotomy on graphs where G[T] is H-free. Namely, we show that Subset Vertex Cover is polynomial-time solvable on graphs G, for which G[T] is H-free, if H = sP1 + tP2 and NP-complete otherwise. Moreover, we prove that Subset Vertex Cover is polynomial-time solvable for (sP1 +P2 +P3)-free graphs and bounded mim-width graphs. By combining our new results with known results we obtain a partial complexity classification for Subset Vertex Cover on H-free graphs
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Brettell, N, Oostveen, J, Pandey, S, Paulusma, D & van Leeuwen, E J 2023, Computing Subset Vertex Covers in H-Free Graphs. in Fundamentals of Computation Theory - 24th International Symposium, FCT 2023, Trier, Germany, September 18-21, 2023, Proceedings. Lecture Notes in Computer Science, vol. 14292, Springer, pp. 88-102. https://doi.org/10.1007/978-3-031-43587-4_7