Parallel Algorithms for Matrix Computations (Paperback)

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.

General

Imprint:	Society For Industrial & Applied Mathematics,U.S.
Country of origin:	United States
Release date:	1987
Authors:	K.A. Gallivan • Michael T. Heath • Esmond Ng • James M. Ortega • Barry M. Peyton • Barry W. Peyton • R.J. Plemmons • Charles H. Romine • A.H. Sameh • Robert G. Voigt
Dimensions:	229 x 152 x 12mm (L x W x T)
Format:	Paperback - Trade
Pages:	207
ISBN-13:	978-0-89871-260-5
Categories:	Books > Science & Mathematics > Mathematics > Algebra > General
LSN:	0-89871-260-2
Barcode:	9780898712605

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!