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Parallel Algorithms and Matrix Computation (Oxford Applied Mathematics and Computing Science Series)

Parallel Algorithms and Matrix Computation (Oxford Applied Mathematics and Computing Science Series)

Parallel Algorithms and Matrix Computation (Oxford Applied Mathematics and
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Parallel Algorithms and Matrix Computation (Oxford Applied Mathematics and Computing Science Series) Paperback - 1989

by Modi, Jagdish J

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1989-01-12. First Edition. paperback. Used: Good. 5.44x0.63x8.44. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Parallel Algorithms and Matrix Computation (Oxford Applied Mathematics and Computing Science Series)
  • Author Modi, Jagdish J
  • Binding Paperback
  • Edition First Edition
  • Condition Used: Good
  • Pages 270
  • Volumes 1
  • Language ENG
  • Publisher Oxford University Press, Oxford, UK
  • Publication date 1989-01-12
  • Illustrated Yes
  • Bookseller's Inventory # SONG0198596707
  • ISBN 9780198596707 / 0198596707
  • Weight 0.86 lbs (0.39 kg)
  • Dimensions 8.44 x 5.44 x 0.63 in (21.44 x 13.82 x 1.60 cm)
  • Size 5.44x0.63x8.44
  • Category Computers - General Information
  • Library of Congress subjects Parallel processing (Electronic computers), Matrices
  • Library of Congress Catalogue Number 88-9687
  • Dewey Decimal Code 004.35
  • Quantity available 1

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Reader reviews for Parallel Algorithms and Matrix Computation (Oxford Applied Mathematics and Computing Science Series)

From the publisher

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.
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