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• W2019626103 abstract "This paper explores the effectiveness of the author's decomposition in a parallel environment. The author's decomposition is a new class of direct method, which factorizes a nonsingular matrix into triangular matrices such that the product of the obtained triangular matrices is the inverse of the original matrix. This new technique provides an efficient procedure and a new feature in structural analysis. Both vectorization and parallelization are considered in this work. Performances in solving large-scaled sparse systems and comparisons with the well-known type of direct method, Gaussian elimination, are reported. Examples in application to domain decomposition are also included." @default.
• W2019626103 created "2016-06-24" @default.
• W2019626103 creator A5016807540 @default.
• W2019626103 date "1993-08-01" @default.
• W2019626103 modified "2023-09-26" @default.
• W2019626103 title "Parallel algorithms for the solution of a sparse system" @default.
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• W2019626103 doi "https://doi.org/10.1016/0956-0521(93)90018-r" @default.
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