Introduction to Nonsmooth Optimization - Theory, Practice and Software (Paperback, Softcover reprint of the original 1st ed. 2014)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	August 2016
First published:	2014
Authors:	Adil Bagirov • Napsu Karmitsa • Marko M. Makela
Dimensions:	235 x 155 x 21mm (L x W x T)
Format:	Paperback
Pages:	372
Edition:	Softcover reprint of the original 1st ed. 2014
ISBN-13:	978-3-319-34627-4
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations Books > Science & Mathematics > Mathematics > Optimization > General
LSN:	3-319-34627-X
Barcode:	9783319346274

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