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Randomized fully dynamic graph algorithms with polylogarithmic time per operation


Author(s) : Monika Rauch Henzinger Valerie King, 
Publisher : N/A
Publication Date : 1999
ISSN : N/A
Abstract : This paper solves a longstanding open problem in fully dynamic algorithms: We present the first fully dynamic algorithms that maintain connectivity, bipartiteness, and approximate minimum spanning trees in polylogarithmic time per edge insertion or deletion. The algorithms are designed using a new dynamic technique which combines a novel graph decomposition with randomization. They are Las-Vegas type randomized algorithms which use simple data structures and have a small constant factor. Let n denote the number of nodes in the graph. For a sequence of \Omega\Gamma m 0) operations, where m 0 is the number of edges in the initial graph, the expected time for p updates is O(p log 3,