Linear and Nonlinear Programming

"Linear and Nonlinear Programming" is considered a classic textbook in Optimization. While it is a classic, it also reflects modern theoretical insights. These insights provide structure to what might otherwise be simply a collection of techniques and results, and this is valuable both as...

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Библиографические подробности
Главные авторы: Luenberger, David G., 1937-, Ye, Yinyu (Автор)
Формат: Livre numérique
Язык:Anglais
Опубликовано: New York, NY : Springer US 2008.
Cham : Springer Nature
Серии:International Series in Operations Research & Management Science 116
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Примечание: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Linear and nonlinear programming, David G. Luenberger,... Yinyu Ye,..., 3rd edition, 2008, New York, Springer, 1 vol. (XIII-546 p.), International series in operations research & management science, 978-0-387-74502-2
• Fractal modelling, growth and form in biology, Jaap A. Kaandorp, Berlin, Springer-Verlag, 1994, 1 vol. (XIII-208 p.), 0-387-56685-6
• Linear and nonlinear programming, David G. Luenberger, Yinyu Ye, 3ème éd., New York, Springer, 2010, 1 vol. (XIII,-546 p.), International series in operations research and management science, 978-1-441-94504-4
Описание
Итог:"Linear and Nonlinear Programming" is considered a classic textbook in Optimization. While it is a classic, it also reflects modern theoretical insights. These insights provide structure to what might otherwise be simply a collection of techniques and results, and this is valuable both as a means for learning existing material and for developing new results. One major insight of this type is the connection between the purely analytical character of an optimization problem, expressed perhaps by properties of the necessary conditions, and the behavior of algorithms used to solve a problem. This was a major theme of the first and second editions. Now the third edition has been completely updated with recent Optimization Methods. Yinyu Ye has written chapters and chapter material on a number of these areas including Interior Point Methods. This book is designed for either self-study by professionals or classroom work at the undergraduate or graduate level for technical students. Like the field of optimization itself, which involves many classical disciplines, the book should be useful to system analysts, operations researchers, numerical analysts, management scientists, and other specialists. .
Примечание:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9780387745039
ISSN:2214-7934
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