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An Introduction to Parallel and Vect...
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Ebooks Corporation.
An Introduction to Parallel and Vector Scientific Computation.
紀錄類型:
書目-電子資源 : 單行本
正題名/作者:
An Introduction to Parallel and Vector Scientific Computation./
作者:
Shonkwiler, Ronald W.
其他作者:
Lefton, Lew.
出版者:
Leiden :Cambridge University Press, : 2006.,
面頁冊數:
306 p.
標題:
Parallel processing (Electronic computers). -
電子資源:
Click here to view book
ISBN:
9780511617935 (electronic bk.)
An Introduction to Parallel and Vector Scientific Computation.
Shonkwiler, Ronald W.
An Introduction to Parallel and Vector Scientific Computation.
[electronic resource]. - Leiden :Cambridge University Press,2006. - 306 p.
Cover; Half-title; Series-title; Title; Copyright; Contents; Preface; Acknowlegments; 1 Introduction – The Nature of High-Performance Computation; 2 Theoretical Considerations – Complexity; 3 Machine Implementations; 4 Building Blocks – Floating Point Numbers and Basic Linear Algebra; 5 Direct Methods for Linear Systems and LU Decomposition; 6 Direct Methods for Systems with Special Structure; 7 Error Analysis and QR Decomposition; 8 Iterative Methods for Linear Systems; 9 Finding Eigenvalues and Eigenvectors; 10 Monte Carlo Simulation; 11 Monte Carlo Optimization
In this introductory text, the fundamental algorithms of numerical linear algebra are developed in a parallel context. Topics include direct and iterative methods for solving linear systems, numerical methods for the eigenvector/eigenvalue problem and applications to Monte Carlo methods.
Electronic reproduction.
Available via World Wide Web.
Mode of access: World Wide Web.
ISBN: 9780511617935 (electronic bk.)Subjects--Topical Terms:
196899
Parallel processing (Electronic computers).
Index Terms--Genre/Form:
96803
Electronic books.
LC Class. No.: QA76.58 .S545 2006eb
Dewey Class. No.: 004.35
An Introduction to Parallel and Vector Scientific Computation.
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Cambridge University Press,
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306 p.
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Cover; Half-title; Series-title; Title; Copyright; Contents; Preface; Acknowlegments; 1 Introduction – The Nature of High-Performance Computation; 2 Theoretical Considerations – Complexity; 3 Machine Implementations; 4 Building Blocks – Floating Point Numbers and Basic Linear Algebra; 5 Direct Methods for Linear Systems and LU Decomposition; 6 Direct Methods for Systems with Special Structure; 7 Error Analysis and QR Decomposition; 8 Iterative Methods for Linear Systems; 9 Finding Eigenvalues and Eigenvectors; 10 Monte Carlo Simulation; 11 Monte Carlo Optimization
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Appendix: Programming ExamplesMPI Examples; Fork Example; LAN Example; Threads Example; SGI Example; References; Index
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In this introductory text, the fundamental algorithms of numerical linear algebra are developed in a parallel context. Topics include direct and iterative methods for solving linear systems, numerical methods for the eigenvector/eigenvalue problem and applications to Monte Carlo methods.
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Click here to view book
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