C1 Vertaisarvioitu tieteellinen erillisteos
Introduction to Nonsmooth Optimization – Theory, Practice and Software
Alaotsikko: Theory, Practice and Software
Tekijät: Adil Bagirov, Napsu Karmitsa, Marko M. Mäkelä
Julkaisuvuosi: 2014
ISBN: 978-3-319-08113-7
eISBN: 978-3-319-08114-4
DOI: https://doi.org/10.1007/978-3-319-08114-4
This book is the first easy-to-read book about nonsmooth optimization (NSO, not necessarily differentiable 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 provides an overview of different problems arising in the field. It is organized into three parts:
1. convex and nonconvex analysis and the theory of NSO;
2. test problems and practical applications;
3. guide to NSO software.
The book is ideal for anyone teaching or attending NSO courses. As an accessible introduction to the field, it is also well suited as an independent learning guide for practitioners already familiar with the basics of optimization.
