Abstract

In the Partial Vertex Cover (PVC) problem, we are given an nn-vertex graph GG and a positive integer kk, and the objective is to find a vertex subset SS of size kk maximizing the number of edges with at least one end-point in SS. This problem is W[1]-hard on general graphs, but admits a parameterized subexponential time algorithm with running time 2O(k)nO(1)2^{O(\sqrt{k})}n^{O(1)} on planar and apex-minor free graphs [Fomin et al. (FSTTCS 2009, IPL 2011)], and a kO(k)nO(1)k^{O(k)}n^{O(1)} time algorithm on bounded degeneracy graphs [Amini et al. (FSTTCS 2009, JCSS 2011)]. Graphs of bounded degeneracy contain many sparse graph classes like planar graphs, HH-minor free graphs, and bounded tree-width graphs. In this work, we prove the following results: 1) There is an algorithm for PVC with running time 2O(k)nO(1)2^{O(k)}n^{O(1)} on graphs of bounded degeneracy which is an improvement on the previous kO(k)nO(1)k^{O(k)}n^{O(1)} time algorithm by Amini et al. 2) PVC admits a polynomial compression on graphs of bounded degeneracy, resolving an open problem posed by Amini et al.

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