Very Good+ in Wraps: shows indications of moderate use, but this is an EX-LIBRARY COPY, showing the usual indications of such. Else, shows only the slightest spine lean; just a touch of wear to the extremities; fairly heavy rubbing and faint soiling to the white background areas of the wrapper covers, mostly at the rear panel. A clean, sturdy, presentable copy. NOT a Remainder or Book-Club. 8vo. 346pp. Lecture Notes in Pure and Applied Mathematics Series, Volume 120. First Edition Thus [1989]; First Printing indicated. Academic Press Paperback. First Edition Thus [1989]; First Printing indicated.

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Dati bibliografici

Titolo

Mathematics for Large Scale Computing.

Editore

Marcel Dekker, New York, NY

Data di pubblicazione

1989

Lingua

Inglese

ISBN 10

0824781228

ISBN 13

9780824781224

Rilegatura

Paperback

Edizione

prima edizione

Cataloghi dei venditori

Mathematics

Descrizione articolo

Riassunto

During recent years a great deal of interest has been devoted to large scale computing applications. This has occurred in great part because of the introduction of advanced high performance computer architectures. The book contains survey articles as well as chapters on specific research applications, development and analysis of numerical algorithms, and performance evaluation of algorithms on advanced architectures. The effect of specialized architectural features on the performance of large scale computation is also considered by several authors. Several areas of applications are represented, including the numerical solution of partial differential equations, iterative techniques for large structured problems, the numerical solution of boundary value problems for ordinary differential equations, numerical optimization, and numerical quadrature. Mathematical issues in computer architecture are also presented, including the description of grey codes for generalized hypercubes. The results presented in this volume give, in our opinion, a representative picture of today’s state of the art in several aspects of large scale computing.

Informazioni sull?autore

Julio Diaz, Center for Parallel and Scientific Computing The university of Tulsa, Tulsa, Oklahoma, USA.

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