Cooperative stochastic differential games

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 th...

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Autors principals: Yeung, David W. K., 1955-, Petrosyan, Leon A., 19..- (Autor)
Format: Livre numérique
Idioma:Anglais
Publicat: New York, NY : Springer New York 2006.
Cham : Springer Nature
Col·lecció:Springer Series in Operations Research and Financial Engineering
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Nota: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Cooperative Stochastic Differential Games, Texte imprimé, 9781441920942
• Cooperative Stochastic Differential Games, Texte imprimé, 9780387508399
• Cooperative Stochastic Differential Games, Texte imprimé, 9780387276205
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Sumari: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.
Descripció de l’ítem:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9780387276229
ISSN:2197-1773
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