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Using maximal independent sets to solve problems in parallel

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Graph-Theoretic Concepts in Computer Science (WG 1991)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 570))

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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 0λ(π) T π(n)(log n)2) using a polynomial number of processors, where λ(π) is the maximum of diameters of minimal graphs violating π and T π(n) is the time needed to decide whether a graph with n vertices satisfies π. (2) Given a family C = c 1,...,c m of subsets of a finite set S = 1,..., n with S = (U mi=1 ci, a 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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References

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Gunther Schmidt Rudolf Berghammer

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© 1992 Springer-Verlag Berlin Heidelberg

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Shoudai, T., Miyano, S. (1992). Using maximal independent sets to solve problems in parallel. In: Schmidt, G., Berghammer, R. (eds) Graph-Theoretic Concepts in Computer Science. WG 1991. Lecture Notes in Computer Science, vol 570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55121-2_12

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  • DOI: https://doi.org/10.1007/3-540-55121-2_12

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55121-8

  • Online ISBN: 978-3-540-46735-9

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