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Item Details
| Title:
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SOLVING LINEAR SYSTEMS ON VECTOR AND SHARED MEMORY COMPUTERS
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| By: |
Jack Dongarra, etc., Iain S. Duff |
| Format: |
Paperback |
| List price:
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£25.95 |
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We believe that this item is permanently unavailable, and so we cannot source
it.
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| ISBN 10: |
089871270X |
| ISBN 13: |
9780898712704 |
| Publisher: |
SOCIETY FOR INDUSTRIAL & APPLIED MATHEMATICS,U.S. |
| Pub. date: |
1 December, 1990 |
| Edition: |
New ed. |
| Pages: |
266 |
| Description: |
This is both a reference and a supplementary teaching text on aspects of scientific computation for use by graduate students, researchers working in computational science, and numerical analysts. |
| Synopsis: |
The recent availability of advanced architecture computers has had a very sigificant impact on all spheres of scientific computation including algorithm research and software development in numerical linear algebra. Major elements of these new computers and recent developments in linear equation algorithms for dense and sparse matrices that are designed to exploit these elements are discussed here. Many techniques and current understandings about solving systems of linear equations on vector and shared-memory parallel computers are documented and unified, providing a fast entrance to the world of vector and parallel processing for these linear algebra applications. This book is both a reference and a supplemental teaching text on aspects of scientific computation for use by graduate students, researchers working in computational science, and numerical analysts. |
| Illustrations: |
Illustrations |
| Publication: |
US |
| Imprint: |
Society for Industrial & Applied Mathematics,U.S. |
| Returns: |
Non-returnable |
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