Parallel Algorithms and Matrix Computation.

Jagdish J. Modi .

ISBN 10: 0198596553 / ISBN 13: 9780198596554

Editore: Oxford University Press:at the Clarendon Press, New York, NY, 1988

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EX-RESEARCH LIBRARY COPY, showing the usual marks, designations, and treatments thereof. Else, Very Good+: shows a small bump at the top edge of the rear panel; very light wear to the extremities and mild rubbing to the laminated panels; a light yellow remainder mark at the top edge of the text block; the binding is ever so slightly cocked off square, but remains perfectly secure; the text is clean. Free of creased or dog-eared pages in the text. Free of underlining, hi-lighting, notations, or marginalia. A handsome copy, structurally sound and tightly bound, showing mild wear and several minor flaws. Bright and clean. Corners sharp. NOT a Book-Club. 8vo. (8.8 x 5.65 x 0.8 inches). viii, 260 pages. Language: English. Weight: 16.6 ounces. Oxford Applied Mathematics and Computing Science Series. First Edition (1988), unstated in accordance with Oxford University Press:at the Clarendon Press' customary practice at the time of publication. Hardback: No DJ 'as issued'. First Edition (1988), unstated in accordance with Oxford University Press:at the Clarendon Press' customary practice at the time of publication. Codice articolo 54253

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Titolo: Parallel Algorithms and Matrix Computation.

Casa editrice: Oxford University Press:at the Clarendon Press, New York, NY

Data di pubblicazione: 1988

Legatura: Hardcover

Edizione: prima edizione

Descrizione articolo

Riassunto:

An introduction to parallel computation and the application of parallel algorithms to numerical linear algebra. The emphasis is on the design and analysis of algorithms which are of importance to industrial and academic research. The first part of the book is devoted to a discussion of the general principles and techniques involved and a number of examples are used to illustrate these. Dr Modi then goes on to describe some key areas of application such as sorting, linear systems, partial differential equations, singular value decomposition and eigenvalue analysis. The book arises from a lecture course at the University of Cambridge and is aimed at those interested in the design and implementation of algorithms in parallel computing.