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Introduction to Nonsmooth Optimization: Theory, Practice and Software - Marko M. Mäkelä,Napsu Karmitsa,Adil Bagirov

English
2016-08-23
€194.03 €277.18

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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 ... Full description

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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.

More Information

Author Marko M. Mäkelä, Napsu Karmitsa, Adil Bagirov
Publisher Springer Nature Switzerland
Release year 2016
Cover type Softcover
EAN 9783319346274
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€194.03 €277.18