Abstract
We investigate the fixed parameter complexity of one of the most popular problems in combinatorial optimization, Weighted Vertex Cover. Given a graph G = (V,E), a weight function ω : V → R+, and k ∈ R+, Weighted Vertex Cover (WVC for short) asks for a subset C of vertices in V of weight at most k such that every edge of G has at least one endpoint in C. WVC and its variants have all been shown to be NP-complete. We show that, when restricting the range of ! to positive integers, the so-called Integer-WVC can be solved as fast as unweighted Vertex Cover. Our main result is that if the range of ! is restricted to positive reals ≥ 1, then so-called Real-WVC can be solved in time O(1.3954k +k∣V∣). If we modify the problem in such a way that k is not the weight of the vertex cover we are looking for, but the number of vertices in a minimum weight vertex cover, then the same running time can be obtained. If the weights are arbitrary (referred to by General-WVC), however, the problem is not fixed parameter tractable unless P = NP.
Work performed within the “PEAL” project (Parameterized complexity and Exact ALgorithms), supported by the Deutsche Forschungsgemeinschaft (NI-369/1-1).
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Niedermeier, R., Rossmanith, P. (2000). On Efficient Fixed Parameter Algorithms for Weighted Vertex Cover. In: Goos, G., Hartmanis, J., van Leeuwen, J., Lee, D.T., Teng, SH. (eds) Algorithms and Computation. ISAAC 2000. Lecture Notes in Computer Science, vol 1969. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40996-3_16
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