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Intro to Parallel Vector Sci Comput
Taschenbuch von Ronald W. Shonkwiler (u. a.)
Sprache: Englisch

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Beschreibung
In this introductory text, the fundamental algorithms of numerical linear algebra are developed in a parallel context.
In this introductory text, the fundamental algorithms of numerical linear algebra are developed in a parallel context.
Über den Autor
Ronald W. Shonkwiler is a Professor in the School of Mathematics at the Georgia Institute of Technology. He has authored or co-authored over 50 research papers in areas of functional analysis, mathematical biology, image processing algorithms, fractal geometry, neural networks and Monte Carlo optimization methods. His algorithm for monochrome image comparison is part of a US patent for fractal image compression. He has co-authored two other books, An Introduction to the Mathematics of Biology and The Handbook of Stochastic Analysis and Applications.
Inhaltsverzeichnis
Part I. Machines and Computation: 1. Introduction - the nature of high performance computation; 2. Theoretical considerations - complexity; 3. Machine implementations; Part II. Linear Systems: 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; Part III. Monte Carlo Methods: 10. Monte Carlo simulation; 11. Monte Carlo optimization; Appendix: programming examples.
Details
Erscheinungsjahr: 2006
Fachbereich: EDV
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Thema: Lexika
Medium: Taschenbuch
Inhalt: 300 S.
ISBN-13: 9780521683371
ISBN-10: 0521683378
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Shonkwiler, Ronald W.
Lefton, Lew
Hersteller: Cambridge University Press
Maße: 229 x 152 x 18 mm
Von/Mit: Ronald W. Shonkwiler (u. a.)
Erscheinungsdatum: 26.10.2006
Gewicht: 0,5 kg
Artikel-ID: 102216858
Über den Autor
Ronald W. Shonkwiler is a Professor in the School of Mathematics at the Georgia Institute of Technology. He has authored or co-authored over 50 research papers in areas of functional analysis, mathematical biology, image processing algorithms, fractal geometry, neural networks and Monte Carlo optimization methods. His algorithm for monochrome image comparison is part of a US patent for fractal image compression. He has co-authored two other books, An Introduction to the Mathematics of Biology and The Handbook of Stochastic Analysis and Applications.
Inhaltsverzeichnis
Part I. Machines and Computation: 1. Introduction - the nature of high performance computation; 2. Theoretical considerations - complexity; 3. Machine implementations; Part II. Linear Systems: 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; Part III. Monte Carlo Methods: 10. Monte Carlo simulation; 11. Monte Carlo optimization; Appendix: programming examples.
Details
Erscheinungsjahr: 2006
Fachbereich: EDV
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Thema: Lexika
Medium: Taschenbuch
Inhalt: 300 S.
ISBN-13: 9780521683371
ISBN-10: 0521683378
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Shonkwiler, Ronald W.
Lefton, Lew
Hersteller: Cambridge University Press
Maße: 229 x 152 x 18 mm
Von/Mit: Ronald W. Shonkwiler (u. a.)
Erscheinungsdatum: 26.10.2006
Gewicht: 0,5 kg
Artikel-ID: 102216858
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