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Cholesky Factorization of Matrices in Parallel and Ranking of Graphs

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Parallel Processing and Applied Mathematics (PPAM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3019))

Abstract

The vertex ranking problem is closely related to the problem of finding the elimination tree of minimum height for a given graph. This implies that the problem has applications in the parallel Cholesky factorization of matrices. We describe the connection between this model of graph coloring and the matrix factorization. We also present a polynomial time algorithm for finding edge ranking of complete bipartite graphs. We use it to design an O(m 2 + d) algorithm for edge ranking of graphs obtained by removing O(log m) edges from a complete bipartite graph, where d is a fixed number. Then we extend our results to complete k-partite graphs for any fixed k>2. In this way we give a new class of matrix factorization instances that can be optimally solved in polynomial time.

Supported in part by KBN grant 4T11C 04725

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© 2004 Springer-Verlag Berlin Heidelberg

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Dereniowski, D., Kubale, M. (2004). Cholesky Factorization of Matrices in Parallel and Ranking of Graphs. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2003. Lecture Notes in Computer Science, vol 3019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24669-5_127

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  • DOI: https://doi.org/10.1007/978-3-540-24669-5_127

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21946-0

  • Online ISBN: 978-3-540-24669-5

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