Fundamentals of Matrix Computations / Wiley Series in Pure and Applied Mathematics (PDF)
(Sprache: Englisch)
A significantly revised and improved introduction to a critical
aspect of scientific computation
Matrix computations lie at the heart of most scientific
computational tasks. For any scientist or engineer doing
large-scale simulations, an understanding...
aspect of scientific computation
Matrix computations lie at the heart of most scientific
computational tasks. For any scientist or engineer doing
large-scale simulations, an understanding...
sofort als Download lieferbar
eBook (pdf)
99.99 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Fundamentals of Matrix Computations / Wiley Series in Pure and Applied Mathematics (PDF)“
A significantly revised and improved introduction to a critical
aspect of scientific computation
Matrix computations lie at the heart of most scientific
computational tasks. For any scientist or engineer doing
large-scale simulations, an understanding of the topic is
essential. Fundamentals of Matrix Computations, Second Edition
explains matrix computations and the accompanying theory clearly
and in detail, along with useful insights.
This Second Edition of a popular text has now been revised and
improved to appeal to the needs of practicing scientists and
graduate and advanced undergraduate students. New to this edition
is the use of MATLAB for many of the exercises and examples,
although the Fortran exercises in the First Edition have been kept
for those who want to use them. This new edition includes:
* Numerous examples and exercises on applications including
electrical circuits, elasticity (mass-spring systems), and simple
partial differential equations
* Early introduction of the singular value decomposition
* A new chapter on iterative methods, including the powerful
preconditioned conjugate-gradient method for solving symmetric,
positive definite systems
* An introduction to new methods for solving large, sparse
eigenvalue problems including the popular implicitly-restarted
Arnoldi and Jacobi-Davidson methods
With in-depth discussions of such other topics as modern
componentwise error analysis, reorthogonalization, and rank-one
updates of the QR decomposition, Fundamentals of Matrix
Computations, Second Edition will prove to be a versatile companion
to novice and practicing mathematicians who seek mastery of matrix
computation.
aspect of scientific computation
Matrix computations lie at the heart of most scientific
computational tasks. For any scientist or engineer doing
large-scale simulations, an understanding of the topic is
essential. Fundamentals of Matrix Computations, Second Edition
explains matrix computations and the accompanying theory clearly
and in detail, along with useful insights.
This Second Edition of a popular text has now been revised and
improved to appeal to the needs of practicing scientists and
graduate and advanced undergraduate students. New to this edition
is the use of MATLAB for many of the exercises and examples,
although the Fortran exercises in the First Edition have been kept
for those who want to use them. This new edition includes:
* Numerous examples and exercises on applications including
electrical circuits, elasticity (mass-spring systems), and simple
partial differential equations
* Early introduction of the singular value decomposition
* A new chapter on iterative methods, including the powerful
preconditioned conjugate-gradient method for solving symmetric,
positive definite systems
* An introduction to new methods for solving large, sparse
eigenvalue problems including the popular implicitly-restarted
Arnoldi and Jacobi-Davidson methods
With in-depth discussions of such other topics as modern
componentwise error analysis, reorthogonalization, and rank-one
updates of the QR decomposition, Fundamentals of Matrix
Computations, Second Edition will prove to be a versatile companion
to novice and practicing mathematicians who seek mastery of matrix
computation.
Inhaltsverzeichnis zu „Fundamentals of Matrix Computations / Wiley Series in Pure and Applied Mathematics (PDF)“
Preface. Acnowledgments. Gaussian Elimination and its Variants. Sensitivity of Linear Systems. The Least Squares Problem. The Singular Value Decomposition. Eigenvalues and Eigenvectors I. Eigenvalues and Eigenvectors II. Iterative Methods for Linear Systems. Appendix: Some Sources of Software for Matrix Computations. References. Index. Index of MATLAB Terms.
Autoren-Porträt von David S. Watkins
DAVID S. WATKINS, PhD, is Professor of Mathematics at Washington State University.
Bibliographische Angaben
- Autor: David S. Watkins
- 2004, 2. Auflage, 640 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0471461679
- ISBN-13: 9780471461678
- Erscheinungsdatum: 13.08.2004
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 26 MB
- Mit Kopierschutz
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "Fundamentals of Matrix Computations / Wiley Series in Pure and Applied Mathematics"
Schreiben Sie einen Kommentar zu "Fundamentals of Matrix Computations / Wiley Series in Pure and Applied Mathematics".
Kommentar verfassen