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Parallel Numerical Algorithms (ICASE LaRC Interdisciplinary Series in Science and Engineering)

Parallel Numerical Algorithms (ICASE LaRC Interdisciplinary Series in Science and Engineering)

Parallel Numerical Algorithms (ICASE LaRC Interdisciplinary Series in Science
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Parallel Numerical Algorithms (ICASE LaRC Interdisciplinary Series in Science and Engineering) Hardback - 1997

by David E. Keyes (Editor); Ahmed Sameh (Editor); V. Venkatakrishnan (Editor)

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Springer, 1997-01-31. Hardcover. Very Good. 1.2000 in x 9.5000 in x 6.4000 in.
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Details

  • Title Parallel Numerical Algorithms (ICASE LaRC Interdisciplinary Series in Science and Engineering)
  • Author David E. Keyes (Editor); Ahmed Sameh (Editor); V. Venkatakrishnan (Editor)
  • Binding Hardback
  • Edition 1st edition.
  • Condition Used - Very good
  • Pages 395
  • Volumes 1
  • Language ENG
  • Publisher Springer, Boston
  • Publication date 1997-01-31
  • Illustrated Yes
  • Features Bibliography, Illustrated
  • Bookseller's Inventory # mon0000409172
  • ISBN 9780792342823 / 0792342828
  • Weight 1.66 lbs (0.75 kg)
  • Dimensions 9.21 x 6.14 x 0.94 in (23.39 x 15.60 x 2.39 cm)
  • Size 1.2000 in x 9.5000 in x 6.4000 i
  • Category Technology & Industrial Arts
  • Library of Congress subjects Parallel processing (Electronic computers), Parallel algorithms
  • Library of Congress Catalogue Number 96038607
  • Dewey Decimal Code 004.1
  • Quantity available 2
  • Bookseller catalogues Book

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Reader reviews for Parallel Numerical Algorithms (ICASE LaRC Interdisciplinary Series in Science and Engineering)

From the publisher

In this volume, designed for computational scientists and engineers working on applications requiring the memories and processing rates of large-scale parallelism, leading algorithmicists survey their own field-defining contributions, together with enough historical and bibliographical perspective to permit working one's way to the frontiers.
This book is distinguished from earlier surveys in parallel numerical algorithms by its extension of coverage beyond core linear algebraic methods into tools more directly associated with partial differential and integral equations - though still with an appealing generality - and by its focus on practical medium-granularity parallelism, approachable through traditional programming languages.
Several of the authors used their invitation to participate as a chance to stand back and create a unified overview, which nonspecialists will appreciate.
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