Linear and Nonlinear Programming

Idioma: inglés

Editorial: Springer Nature Switzerland AG, CH, 2022

3030854523 / 9783030854522

Serie: Libro 304 de 323 - International Series in Operations Research & Management Science

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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. The material is organized into three separate parts. Part I offers a self-contained introduction to linear programming. The presentation in this part is fairly conventional, covering the main elements of the underlying theory of linear programming, many of the most effective numerical algorithms, and many of its important special applications. Part II, which is independent of Part I, covers the theory of unconstrained optimization, including both derivations of the appropriate optimality conditions and an introduction to basic algorithms. This part of the book explores the general properties of algorithms and defines various notions of convergence. In turn, Part III extends the concepts developed in the second part to constrained optimization problems. Except for a few isolated sections, this part is also independent of Part I. As such, Parts II and III can easily be used without reading Part I and, in fact, the book has been used in this way at many universities. New to this edition are popular topics in data science and machine learning, such as the Markov Decision Process, Farkas' lemma, convergence speed analysis, duality theories and applications, various first-order methods, stochastic gradient method, mirror-descent method, Frank-Wolf method, ALM/ADMM method, interior trust-region method for non-convex optimization, distributionally robust optimization, online linear programming, semidefinite programming for sensor-network localization, and infeasibility detection for nonlinear optimization.…

N° de ref. del artículo LU-9783030854522

Título
Linear and Nonlinear Programming
Autor
David G. Luenberger, Yinyu Ye
Editorial
Springer Nature Switzerland AG, CH
Año de publicación
2022
Estado
New
Encuadernación
Paperback
Idioma
inglés
ISBN 10
3030854523
ISBN 13
9783030854522
Edición
Fifth Edition 2021.
Serie
Libro 304 de 323: International Series in Operations Research & Management Science

Rarewaves.com USA

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