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Vertex Cover Interdiction in Bipartite Graphs

Published 21 Sep 2026 in cs.DS | (2609.24624v1)

Abstract: In the vertex cover interdiction problem, we are given an undirected graph G=(V,E)G=(V,E), two integers tt and kk and a vertex subset B⊆VB\subseteq V, and we are asked to find a set X⊆BX \subseteq B with ∣X∣≤t|X|\leq t such that XX hits (i.e., intersects) all the vertex covers of GG of size at most kk. Recently, Grüne and Wulf proved that the problem is Σ2<sup>pΣ_2<sup>p-complete. However, their reduction relied on the fact that the vertex cover problem is NP-complete. This, in turn, means that we do not know the complexity status of the vertex cover interdiction problem when the input graph is restricted to a bipartite graph since the vertex cover problem can be solved in polynomial time for bipartite graphs. One of our main results shows that the vertex cover interdiction problem is NP-complete for bipartite graphs. In contrast, when kk is restricted to the minimum vertex cover size, i.e., we are only required to hit all the minimum vertex covers, we show that the vertex cover interdiction problem can be solved in polynomial time for bipartite graphs. This motivates us to study the parameterized complexity of the vertex cover interdiction problem for bipartite graphs when the difference of kk and the minimum vertex cover size is taken as a parameter. With this parameter, we show that the problem is W[1]\mathrm{W}[1]-hard, but can be solved in polynomial time when the parameter is constant (i.e., in XP time). We also show that the problem is fixed-parameter tractable when parameterized by kk.

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