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Название: Linear and Nonlinear Programming, Fifth Edition
Автор: David G. Luenberger, Yinyu Ye
Издательство: Springer
Год: 2021
Страниц: 609
Язык: английский
Формат: pdf (true), epub
Размер: 26.3 MB
The 5th edition of this classic textbook covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. One major insight is the connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve that problem. End-of-chapter exercises are provided for all chapters. Although the book covers primarily material that is now fairly standard, this edition emphasizes methods that are both state-of-the-art and popular in emerging fields such as Data Sciences, Machine Learning, and Decision Analytics.
Автор: David G. Luenberger, Yinyu Ye
Издательство: Springer
Год: 2021
Страниц: 609
Язык: английский
Формат: pdf (true), epub
Размер: 26.3 MB
The 5th edition of this classic textbook covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. One major insight is the connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve that problem. End-of-chapter exercises are provided for all chapters. Although the book covers primarily material that is now fairly standard, this edition emphasizes methods that are both state-of-the-art and popular in emerging fields such as Data Sciences, Machine Learning, and Decision Analytics.