Describes a selection of important parallel algorithms for matrix computations. Reviews the current status and provides an overall perspective of parallel algorithms for solving problems arising in the major areas of numerical linear algebra, including (1) direct solution of dense, structured, or sparse linear systems, (2) dense or structured least squares computations, (3) dense or structured eigenvaluen and singular value computations, and (4) rapid elliptic solvers. The book emphasizes computational primitives whose efficient execution on parallel and vector computers is essential to obtain high performance algorithms.Consists of two comprehensive survey papers on important parallel algorithms for solving problems arising in the major areas of numerical linear algebra - direct solution of linear systems, least squares computations, eigenvalue and singular value computations, and rapid elliptic solvers, plus an extensive up-to-date bibliography (2,000 items) on related research.

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Bibliographic Details

Title: Parallel Algorithms for Matrix Computations
Publisher: Society for Industrial and Applied Mathematics,U.S., US
Publication Date: 1990
Language: English
ISBN 10: 0898712602
ISBN 13: 9780898712605
Binding: Paperback
Condition: New
Dimensions: 17.15 centimeters width by 1.91 centimeters height by 25.4 centimeters depth
Weight: 354 grams

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This volume consists of two comprehensive survey papers on parallel algorithms for solving problems arising in the major areas of numerical linear algebra - direct solution of linear systems, least squares computations, eigenvalue and singular value computations, and rapid elliptic solvers, plus an extensive up-to-date bibliography (2000 items) on related research.

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