Computing Subset Vertex Covers in $H$-Free Graphs
Nick Brettell, Jelle J. Oostveen, Sukanya Pandey, Dani\"el, Paulusma, Johannes Rauch, Erik Jan van Leeuwen

TL;DR
This paper investigates the computational complexity of the Subset Vertex Cover problem in various graph classes, establishing NP-completeness in some cases and polynomial-time solvability in others, thereby advancing the understanding of its complexity landscape.
Contribution
It proves NP-completeness of Subset Vertex Cover on specific graph classes and provides a dichotomy and new polynomial-time algorithms for certain subclasses, extending the complexity classification.
Findings
NP-complete on subcubic (claw,diamond)-free planar graphs
NP-complete on 2-unipolar graphs
Polynomial-time solvable on graphs where G[T] is H-free for certain H
Abstract
We consider a natural generalization of Vertex Cover: the Subset Vertex Cover problem, which is to decide for a graph , a subset and integer , if has a subset of size at most , such that contains at least one end-vertex of every edge incident to a vertex of . A graph is -free if it does not contain 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 -unipolar graphs, a subclass of -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, some of which follow from a reduction to Vertex Cover restricted to classes of probe graphs. We first give a dichotomy on graphs…
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Taxonomy
TopicsAdvanced Graph Theory Research · Optimization and Search Problems · Complexity and Algorithms in Graphs
