Parallel Algorithms and Matrix Computation.

Jagdish J. Modi .

ISBN 10: 0198596553 / ISBN 13: 9780198596554

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

About this Item

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. Seller Inventory # 54253

Bibliographic Details

Title: Parallel Algorithms and Matrix Computation.

Publisher: Oxford University Press:at the Clarendon Press, New York, NY

Publication Date: 1988

Binding: Hardcover

Edition: 1st Edition

About this title

Synopsis:

One of the first textbooks on the topic, this book brings together and further articulates the fundamental concepts in parallel computing. It covers the application of parallel algorithms to numerical linear algebra, with an emphasis on the design and analysis of algorithms that are of particular importance in both industrial and academic research. The first part is devoted to a discussion of the general principles and techniques involved, and is illustrated by numerous examples. Dr. Modi goes on to describe some key areas of application, such as sorting, linear systems, partial differential equations, singular-value decomposition, and eigenvalue analysis. Based on a lecture course at the University of Cambridge, the text will appeal to those with an interest in the design and implementations of algorithms in parallel computing.