Overview
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.
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.The book, Introduction to Nonsmooth Optimization: Theory, Practice and Software [Bulk, Wholesale, Quantity] ISBN#9783319081137 in Hardcover by Adil Bagirov, Napsu Karmitsa, Marko M. Mäkelä may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
Format:
Hardcover
Publication Date:
08/22/2014
ISBN-13:
9783319081137
Pages:
372
Publisher:
Springer International Publishing
