Optimization theory and methods : nonlinear programming

This book, a result of the authors teaching and research experience in various universities and institutes over the past ten years, can be used as a textbook for an optimization course for graduates and senior undergraduates. It systematically describes optimization theory and several powerful metho...

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Главные авторы: Sun, Wenyu, Yuan, Ya-Xiang (Автор)
Формат: Livre numérique
Язык:Anglais
Опубликовано: New York, NY : Springer US [20..].
Cham : Springer Nature
Редактирование:1st ed. 2006.
Серии:Springer Optimization and Its Applications 1
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Примечание: Description d'après consultation du 15 avril 2011
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Optimization Theory and Methods, Texte imprimé, 9781441937650
• Optimization Theory and Methods, Texte imprimé, 9780387505510
• Optimization theory and methods, nonlinear programming, by Wenyu Sun,... Ya-Xiang Yuan,..., New York, Springer, 2006, 1 vol. (XII-687 p.), Springer optimization and its applications, 0-387-24975-3
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504 |a Bibliogr. p. [649]-681. Index 
505 1 |a Line Search Newton s Methods Conjugate Gradient Method Quasi-Newton Methods Trust-Region Methods and Conic Model Methods Solving Nonlinear Least-Squares Problems Theory of Constrained Optimization Quadratic Programming Penalty Function Methods Feasible Direction Methods Sequential Quadratic Programming Trust-Region Methods for Constrained Problems Nonsmooth Optimization 
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520 |a This book, a result of the authors teaching and research experience in various universities and institutes over the past ten years, can be used as a textbook for an optimization course for graduates and senior undergraduates. It systematically describes optimization theory and several powerful methods, including recent results. For most methods, the authors discuss an idea s motivation, study the derivation, establish the global and local convergence, describe algorithmic steps, and discuss the numerical performance. The book deals with both theory and algorithms of optimization concurrently. It also contains an extensive bibliography with 366 references. Finally, apart from its use for teaching, Optimization Theory and Methods is also very beneficial for doing research. Audience This book is intended for senior students, graduates, teachers, and researchers in optimization, operations research, computational mathematics, applied mathematics, and some engineering and economics. It will also be useful for scientists in engineering and economics 
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