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Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics, Series Number 16) - Softcover
Synopsis
This book has become the standard for a complete, state-of-the-art description of the methods for unconstrained optimization and systems of nonlinear equations. Originally published in 1983, it provides information needed to understand both the theory and the practice of these methods and provides pseudocode for the problems. The algorithms covered are all based on Newton's method or 'quasi-Newton' methods, and the heart of the book is the material on computational methods for multidimensional unconstrained optimization and nonlinear equation problems. The republication of this book by SIAM is driven by a continuing demand for specific and sound advice on how to solve real problems.
"synopsis" may belong to another edition of this title.
About the Author
J. E. Dennis, Jr. is Noah Harding Professor of Computational and Applied Mathematics at Rice University. Robert B. Schnabel is Professor of Computer Science at the University of Colorado at Boulder.
"About this title" may belong to another edition of this title.
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Numerical Methods for Unconstrained Optimization and Nonlinear Equations
Published by
Society for Industrial and Applied Mathematic, 1987
ISBN 10: 0898713641
ISBN 13: 9780898713640
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Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics, Series Number 16)
Published by
Society for Industrial and Appli, 1987
ISBN 10: 0898713641
ISBN 13: 9780898713640
Used
Paperback
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Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics, Series Number 16)
Published by
Society for Industrial and Applied Mathematics, 1987
ISBN 10: 0898713641
ISBN 13: 9780898713640
Used
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Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics, Series Number 16)
Published by
Society for Industrial and Applied Mathematics, 1987
ISBN 10: 0898713641
ISBN 13: 9780898713640
Used
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Numerical Methods for Unconstrained Optimization and Nonlinear Equations
Published by
Society for Industrial and Applied Mathematics, 1996
ISBN 10: 0898713641
ISBN 13: 9780898713640
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Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics, Series Number 16)
Published by
Society for Industrial and Applied Mathematics, 1996
ISBN 10: 0898713641
ISBN 13: 9780898713640
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Numerical Methods for Unconstrained Optimization and Nonlinear Equations
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Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics, Series Number 16)
Published by
Society for Industrial and Applied Mathematics, 1987
ISBN 10: 0898713641
ISBN 13: 9780898713640
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Numerical Methods for Unconstrained Optimization and Nonlinear Equations
Published by
Society for Industrial and Applied Mathematics, 1987
ISBN 10: 0898713641
ISBN 13: 9780898713640
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Softcover
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Numerical Methods for Unconstrained Optimization and Nonlinear Equations
Published by
Society for Industrial and Applied Mathematics,U.S., US, 1996
ISBN 10: 0898713641
ISBN 13: 9780898713640
New
Paperback
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. This book has become the standard for a complete, state-of-the-art description of the methods for unconstrained optimization and systems of nonlinear equations. Originally published in 1983, it provides information needed to understand both the theory and the practice of these methods and provides pseudocode for the problems. The algorithms covered are all based on Newton's method or ""quasi-Newton"" methods, and the heart of the book is the material on computational methods for multidimensional unconstrained optimization and nonlinear equation problems. The republication of this book by SIAM is driven by a continuing demand for specific and sound advice on how to solve real problems.The level of presentation is consistent throughout, with a good mix of examples and theory, making it a valuable text at both the graduate and undergraduate level. It has been praised as excellent for courses with approximately the same name as the book title and would also be useful as a supplemental text for a nonlinear programming or a numerical analysis course. Many exercises are provided to illustrate and develop the ideas in the text. A large appendix provides a mechanism for class projects and a reference for readers who want the details of the algorithms. Practitioners may use this book for self-study and reference.For complete understanding, readers should have a background in calculus and linear algebra. The book does contain background material in multivariable calculus and numerical linear algebra. Seller Inventory # LU-9780898713640
Quantity: 2 available