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- Über dieses Lehrbuch
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Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems.
For this new edition the book has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are used widely in practice and the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field. The authors have strived to produce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful nature of the discipline and its practical side.
- Inhaltsverzeichnis (19 Kapitel)
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Introduction
Seiten 1-9
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Fundamentals of Unconstrained Optimization
Seiten 10-29
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Line Search Methods
Seiten 30-65
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Trust-Region Methods
Seiten 66-100
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Conjugate Gradient Methods
Seiten 101-134
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Inhaltsverzeichnis (19 Kapitel)
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Bibliografische Information
- Bibliographic Information
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- Buchtitel
- Numerical Optimization
- Autoren
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- Jorge Nocedal
- S. Wright
- Titel der Buchreihe
- Springer Series in Operations Research and Financial Engineering
- Copyright
- 2006
- Verlag
- Springer-Verlag New York
- Copyright Inhaber
- Springer-Verlag New York
- eBook ISBN
- 978-0-387-40065-5
- DOI
- 10.1007/978-0-387-40065-5
- Hardcover ISBN
- 978-0-387-30303-1
- Softcover ISBN
- 978-1-4939-3711-0
- Buchreihen ISSN
- 1431-8598
- Auflage
- 2
- Seitenzahl
- XXII, 664
- Themen
