Finding the most vital edge with respect to minimum spanning tree in weighted graphs
Information Processing Letters
Efficient algorithms for finding the most vital edge of a minimum spanning tree
Information Processing Letters
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Finding the k most vital edges in the minimum spanning tree problem
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Finding the k most vital edges with respect to minimum spanning trees for fixed k
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Efficient algorithms for finding the k most vital edges for the minimum spanning tree problem
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Mathematical and Computer Modelling: An International Journal
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In this paper, we study the complexity and the approximation of the k most vital edges (nodes) and min edge (node) blocker versions for the minimum spanning tree problem (MST). We show that the k most vital edges MST problem is NP-hard even for complete graphs with weights 0 or 1 and 3-approximable for graphs with weights 0 or 1. We also prove that the k most vital nodes MST problem is not approximable within a factor n 1驴驴 , for any 驴0, unless NP=ZPP, even for complete graphs of order n with weights 0 or 1. Furthermore, we show that the min edge blocker MST problem is NP-hard even for complete graphs with weights 0 or 1 and that the min node blocker MST problem is NP-hard to approximate within a factor 1.36 even for graphs with weights 0 or 1.