Numerical Optimization
Overview
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Authors:
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J. Frédéric Bonnans
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Ecole Polytechnique, Centre de Mathématiques Appliquées, 91128, Palaiseau, France
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J. Charles Gilbert
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INRIA Rocquencourt, 78153, Le Chesnay, France
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Claude Lemaréchal
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INRIA Rhône-Alpes, 38334, Montbonnot, France
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Claudia A. Sagastizábal
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INRIA Rocquencourt, 22460-320, Rio de Janeiro–RJ, Brazil
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- Includes supplementary material: sn.pub/extras
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167k Accesses
About this book
Just as in its 1st edition, this book starts with illustrations of the ubiquitous character of optimization, and describes numerical algorithms in a tutorial way. It covers fundamental algorithms as well as more specialized and advanced topics for unconstrained and constrained problems. Most of the algorithms are explained in a detailed manner, allowing straightforward implementation. Theoretical aspects of the approaches chosen are also addressed with care, often using minimal assumptions.
This new edition contains computational exercises in the form of case studies which help understanding optimization methods beyond their theoretical, description, when coming to actual implementation. Besides, the nonsmooth optimization part has been substantially reorganized and expanded.
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Keywords
Table of contents (26 chapters)
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Unconstrained Problems
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Nonsmooth Optimization
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Newton's Methods in Constrained Optimization
Reviews
From the reviews of the second edition:
"This volume is a collection of four coordinated monographs on topics in numerical optimization. … the four sections of the book fit together to provide a broad survey of methods for numerical optimization at an advanced level. … this book should be of interest to advanced graduate students and researchers working in numerical optimization." (Brian Borchers, MathDL, March, 2007)
"More realistic application problems are introduced with the emphasis on outlining a typical modeling process in more detail. … the presentation of theoretical results on nonsmooth optimization is reorganized and contains now a new subsection with convergence results. The book provides an excellent basis for studying optimization theory and algorithms, especially for nonsmooth optimization. Additional case studies, availability of computer codes, and exercises improve the understanding of numerical algorithms and the practical problem solving process. In summary, the second edition significantly improves the first one." (Klaus Schittkowski, Zentralblatt MATH, Vol. 1108 (10), 2007)
Authors and Affiliations
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Ecole Polytechnique, Centre de Mathématiques Appliquées, 91128, Palaiseau, France
J. Frédéric Bonnans
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INRIA Rocquencourt, 78153, Le Chesnay, France
J. Charles Gilbert
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INRIA Rhône-Alpes, 38334, Montbonnot, France
Claude Lemaréchal
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INRIA Rocquencourt, 22460-320, Rio de Janeiro–RJ, Brazil
Claudia A. Sagastizábal
About the authors
The four authors are leading international specialists in various branches of nonlinear optimization (one of them received the Dantzig Prize). They are working - or have worked - at INRIA, the French National Institute for Research in Computer Science and Control, and they also teach in various universities and "Grandes Écoles". All of them continually collaborate with industry on problems dealing with optimization, in fields such as energy management, geoscience, life sciences, etc.
Bibliographic Information
Book Title: Numerical Optimization
Book Subtitle: Theoretical and Practical Aspects
Authors: J. Frédéric Bonnans, J. Charles Gilbert, Claude Lemaréchal, Claudia A. Sagastizábal
Series Title: Universitext
DOI: https://doi.org/10.1007/978-3-540-35447-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Softcover ISBN: 978-3-540-35445-1Published: 20 September 2006
eBook ISBN: 978-3-540-35447-5Published: 06 October 2006
Series ISSN: 0172-5939
Series E-ISSN: 2191-6675
Edition Number: 2
Number of Pages: XIV, 494
Topics: Optimization, Operations Research, Management Science, Calculus of Variations and Optimal Control; Optimization, Numerical Analysis, Algorithm Analysis and Problem Complexity, Mathematics of Computing