Mathematics for Large Scale Computing: Lecture Notes in Pure & Applied Mathematics, Band 120:

Diaz, J. C.:

ISBN 10: 0824781228 / ISBN 13: 9780824781224

Published by Marcel Dekker INc., 1989

About this Item

345 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 660.

Seller Inventory # 2294708

Bibliographic Details

• Title: Mathematics for Large Scale Computing: Lecture Notes in Pure & Applied Mathematics, Band 120:
• Publisher: Marcel Dekker INc.
• Publication Date: 1989
• Language: English
• ISBN 10: 0824781228
• ISBN 13: 9780824781224
• Binding: Broschiert
• Condition: Gut
• Weight: 660 grams
• Seller catalogs:
  • 200 Mathematik

About this title

Synopsis

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.

About the Author

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