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Basic Concepts of Nonlinear Optimization

Language EnglishEnglish
Book Paperback
Book Basic Concepts of Nonlinear Optimization Oliver Stein
Libristo code: 46539101
Publishers Springer, Berlin, November 2023
This textbook is an introduction to nonlinear optimization, which treats mathematical concepts strin... Full description
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This textbook is an introduction to nonlinear optimization, which treats mathematical concepts stringently on the one hand, but also motivates them in great detail and illustrates them with 42 figures. Therefore, the book is not only aimed at mathematicians, but also at natural scientists, engineers, and economists who want to understand and apply mathematically sound methods in their field.

With just over two hundred pages, the book offers sufficient flexibility to serve as a foundation for various types of lectures on nonlinear optimization. Many geometric approaches for understanding both optimality conditions and numerical methods introduce a new perspective, enriching the existing literature on optimization. This is particularly evident in the detailed treatment of issues arising from different functional descriptions of the same geometry of feasible sets, and the thus motivated introduction of constraint qualifications for deriving derivative-based optimality conditions.

This book is the English translation of the second edition of "Grundzüge der Nichtlinearen Optimierung" (Springer, 2021) written in German. The translation was done with the help of artificial intelligence. A subsequent revision was performed by the author to further refine the work and to ensure that the translation is appropriate concerning content and scientific correctness. It may, however, read stylistically different from a conventional translation.

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About the book

Full name Basic Concepts of Nonlinear Optimization
Author Oliver Stein
Language English
Binding Book - Paperback
Date of issue 2024
Number of pages 214
EAN 9783662697405
Libristo code 46539101
Publishers Springer, Berlin
Weight 347
Dimensions 155 x 12 x 235
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