Introduction to Nonsmooth Optimization: Theory, Practice and Software

Bagirov, Adil; Karmitsa, Napsu; Mäkelä, Marko M.

This book is the first easy-to-read text on 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 provide 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. a guide to NSO software.

Details

Published by: Springer

Publication Date: 2016-08-23

Format: Paperback

ISBN-13: 9783319346274

DOI: 10.1007/978-3-319-08114-4

Dimensions: 235cm x155cm

Pages: 372