2 research outputs found

    A Single-Exponential Fixed-Parameter Algorithm for Distance-Hereditary Vertex Deletion

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    Vertex deletion problems ask whether it is possible to delete at most kk vertices from a graph so that the resulting graph belongs to a specified graph class. Over the past years, the parameterized complexity of vertex deletion to a plethora of graph classes has been systematically researched. Here we present the first single-exponential fixed-parameter tractable algorithm for vertex deletion to distance-hereditary graphs, a well-studied graph class which is particularly important in the context of vertex deletion due to its connection to the graph parameter rank-width. We complement our result with matching asymptotic lower bounds based on the exponential time hypothesis. As an application of our algorithm, we show that a vertex deletion set to distance-hereditary graphs can be used as a parameter which allows single-exponential fixed-parameter tractable algorithms for classical NP-hard problems.Comment: 43 pages, 9 figures (revised journal version; an extended abstract appeared in the proceedings of MFCS 2016
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