Efficient Algorithms for Finding the Most Vital Edge of a Minimum Spanning Tree
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Let G(V,E) be an undirected graph with m edges and n vertices such that each edge e has a real valued weight w(e). Let MST(G) be a minimum spanning tree in G. Let ƒ(G) be the weight of a minimum spanning tree of G if G is connected; otherwise ƒ(G)∞. We define a most vital edge with respect to a minimum spanning tree in a connected undirected graph G as an edge e such that ƒ(G−e)⩾ƒ(G−e′) for every edge e′ in G.
In this paper, we give O(m+n log n) and O(mα(m,n)) time algorithms, which improve O(m log m) and O(n2) time bounds by Hsu et al. in Inform. Process. Lett. 39 (1991) 277–281.
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