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• W2109496768 abstract "A new class of normalized explicit approximate inverse matrix techniques, based on normalized approximate factorization procedures, for solving sparse linear systems resulting from the finite difference discretization of partial differential equations in three space variables are introduced. A new parallel normalized explicit preconditioned conjugate gradient square method in conjunction with normalized approximate inverse matrix techniques for solving efficiently sparse linear systems on distributed memory systems, using Message Passing Interface (MPI) communication library, is also presented along with theoretical estimates on speedups and efficiency. The implementation and performance on a distributed memory MIMD machine, using Message Passing Interface (MPI) is also investigated. Applications on characteristic initial/boundary value problems in three dimensions are discussed and numerical results are given." @default.
• W2109496768 created "2016-06-24" @default.
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• W2109496768 date "2005-01-01" @default.
• W2109496768 modified "2023-10-14" @default.
• W2109496768 title "Parallel Preconditioned Conjugate Gradient Square Method Based on Normalized Approximate Inverses" @default.
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• W2109496768 doi "https://doi.org/10.1155/2005/508607" @default.
• W2109496768 hasPublicationYear "2005" @default.
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