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Mathematics for Large Scale Computing (Lecture Notes in Pure and Applied Mathematics)

By: Julio Diaz (Edited by)

Out of stock

Ksh 63,350.00

Format: Paperback or Softback

ISBN-10: 0824781228

ISBN-13: 9780824781224

Collection / Series: Lecture Notes in Pure and Applied Mathematics

Collection Type: Publisher collection

Publisher: Taylor & Francis Inc

Imprint: CRC Press Inc

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jul 28th, 1989

Publication Status: Active

Product extent: 368 Pages

Weight: 635.00 grams

Product Classification / Subject(s): Mathematical theory of computation

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During recent years a great deal of interest has been devoted to large scale computing applications. 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.
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.

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