Introduction to Nonsmooth Optimization

Theory, Practice and Software

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Éditeur :

Springer


Paru le : 2014-08-12



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Description

This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily di?erentiable optimization). Solving these kinds of problems plays a critical role in many industrial applications and real-world modeling systems, for example in the context of image denoising, optimal control, neural network training, data mining, economics and computational chemistry and physics. The book covers both the theory and the numerical methods used in NSO and provide an overview of di?erent problems arising in the ?eld. It is organized into three parts:
1. convex and nonconvex analysis and the theory of NSO;
2. test problems and practical applications;
3. a guide to NSO software.The book is ideal for anyone teaching or attending NSO courses. As an accessible introduction to the ?eld, it is also well suited as an independent learning guide for practitioners already familiar with the basics of optimization.
Pages
372 pages
Collection
n.c
Parution
2014-08-12
Marque
Springer
EAN papier
9783319081137
EAN EPUB
9783319081144

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
37
Taille du fichier
7731 Ko
Prix
147,69 €

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