Using maximal independent sets to solve problems in parallel

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Abstract

By using an O((log n)2) time EREW PRAM algorithm for a maximal independent set problem (MIS), we show the following two results: (1) Given a graph, the maximal vertex-induced subgraph satisfying a hereditary graph property π can be found in time O(δ λ(π) Tπ(n)(log n)2) using a polynomial number of processors, where λ(π) is the maximum of diameters of minimal graphs violating π and Tπ(n) is the time needed to decide whether a graph with n vertices satisfies π. (2) Given a family C = {c1,….,cm} of subsets of a finite set S = {1,…,n} with S = Umi=1ci minimal set cover for S can be computed on an EREW PRAM in time O(αβ(log(n + m))2) using a polynomial number of processors, where α = max{|ci| i = 1,…, m} and β = max{|dj|| j=1,…,n}.

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APA

Shoudai, T., & Miyano, S. (1992). Using maximal independent sets to solve problems in parallel. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 570 LNCS, pp. 126–134). Springer Verlag. https://doi.org/10.1007/3-540-55121-2_12

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