Applied Numerical Linear Algebra

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9780898713893: Applied Numerical Linear Algebra

Designed for first-year graduate students from a variety of engineering and scientific disciplines, this comprehensive textbook covers the solution of linear systems, least squares problems, eigenvalue problems, and the singular value decomposition. The author, who helped design the widely used LAPACK and ScaLAPACK linear algebra libraries, draws on this experience to present state-of-the-art techniques for these problems, including recommending which algorithms to use in various practical situations. Algorithms are derived in a mathematically illuminating way, including condition numbers and error bounds. Direct and iterative algorithms, suitable for dense and sparse matrices, are discussed. Algorithm design for modern computer architectures, where moving data is often more expensive than arithmetic operations, is discussed in detail, using LAPACK as an illustration. There are many numerical examples throughout the text and in the problems at the ends of chapters, most of which are written in MATLAB and are freely available on the Web.

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Book Description:

Designed for first-year graduate students from engineering and science disciplines, this comprehensive textbook covers the solution of linear systems, least squares problems, eigenvalue problems, and the singular value decomposition. The author presents state-of-the-art techniques for these problems, including recommendations of which algorithms to use in a variety of practical situations.

About the Author:

James Demmel is a Professor in the Computer Science Division and Mathematics Department at the University of California, Berkeley. He was elected to the National Academy of Engineering in 1999.

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1.

Demmel, James W.
Editorial: Society for Industrial and Applied Mathematics (1997)
ISBN 10: 0898713897 ISBN 13: 9780898713893
Nuevos Cantidad: 1
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Descripción Society for Industrial and Applied Mathematics, 1997. PAP. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería CE-9780898713893

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James W. Demmel
Editorial: Society for Industrial Applied Mathematics,U.S., United States (1997)
ISBN 10: 0898713897 ISBN 13: 9780898713893
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Descripción Society for Industrial Applied Mathematics,U.S., United States, 1997. Paperback. Estado de conservación: New. Language: English . Brand New Book. Designed for first-year graduate students from a variety of engineering and scientific disciplines, this comprehensive textbook covers the solution of linear systems, least squares problems, eigenvalue problems, and the singular value decomposition. The author, who helped design the widely used LAPACK and ScaLAPACK linear algebra libraries, draws on this experience to present state-of-the-art techniques for these problems, including recommending which algorithms to use in various practical situations. Algorithms are derived in a mathematically illuminating way, including condition numbers and error bounds. Direct and iterative algorithms, suitable for dense and sparse matrices, are discussed. Algorithm design for modern computer architectures, where moving data is often more expensive than arithmetic operations, is discussed in detail, using LAPACK as an illustration. There are many numerical examples throughout the text and in the problems at the ends of chapters, most of which are written in MATLAB and are freely available on the Web. Nº de ref. de la librería AAN9780898713893

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3.

James W. Demmel
Editorial: Society for Industrial & Applied Mathematics,U.S.
ISBN 10: 0898713897 ISBN 13: 9780898713893
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Descripción Society for Industrial & Applied Mathematics,U.S. Paperback. Estado de conservación: new. BRAND NEW, Applied Numerical Linear Algebra, James W. Demmel, Designed for first-year graduate students from a variety of engineering and scientific disciplines, this comprehensive textbook covers the solution of linear systems, least squares problems, eigenvalue problems, and the singular value decomposition. The author, who helped design the widely used LAPACK and ScaLAPACK linear algebra libraries, draws on this experience to present state-of-the-art techniques for these problems, including recommending which algorithms to use in various practical situations. Algorithms are derived in a mathematically illuminating way, including condition numbers and error bounds. Direct and iterative algorithms, suitable for dense and sparse matrices, are discussed. Algorithm design for modern computer architectures, where moving data is often more expensive than arithmetic operations, is discussed in detail, using LAPACK as an illustration. There are many numerical examples throughout the text and in the problems at the ends of chapters, most of which are written in MATLAB and are freely available on the Web. Nº de ref. de la librería B9780898713893

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Demmel, James W.
Editorial: SIAM (1997)
ISBN 10: 0898713897 ISBN 13: 9780898713893
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Descripción SIAM, 1997. Paperback. Estado de conservación: New. Never used!. Nº de ref. de la librería P110898713897

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James W. Demmel
Editorial: Society for Industrial & Applied (1997)
ISBN 10: 0898713897 ISBN 13: 9780898713893
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Descripción Society for Industrial & Applied, 1997. Paperback. Estado de conservación: Brand New. 1st edition. 431 pages. 10.25x7.00x1.00 inches. In Stock. Nº de ref. de la librería __0898713897

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James W. Demmel
Editorial: SIAM (1997)
ISBN 10: 0898713897 ISBN 13: 9780898713893
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Descripción SIAM, 1997. Paperback. Estado de conservación: New. 1. Nº de ref. de la librería DADAX0898713897

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Demmel, James W.
Editorial: SIAM
ISBN 10: 0898713897 ISBN 13: 9780898713893
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Descripción SIAM. PAPERBACK. Estado de conservación: New. 0898713897 New Condition. Nº de ref. de la librería NEW7.0502116

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James W. Demmel
Editorial: SIAM (1997)
ISBN 10: 0898713897 ISBN 13: 9780898713893
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Descripción SIAM, 1997. Paperback. Estado de conservación: New. 1. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. Buy with confidence, excellent customer service!. Nº de ref. de la librería 0898713897n

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