9783319346274 - Introduction to Nonsmooth Optimization: Theory, Practice and Software de Bagirov, Adil; Karmitsa, Napsu; Mäkelä, Marko M. (11 resultados)

Condición: New. In.

Condición: New. pp. 392.

Taschenbuch. Condición: Neu. Introduction to Nonsmooth Optimization | Theory, Practice and Software | Adil Bagirov (u. a.) | Taschenbuch | xviii | Englisch | 2016 | Springer | EAN 9783319346274 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Condición: Brand New. reprint edition. 392 pages. 9.25x6.10x0.89 inches. In Stock.

Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 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. 392 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Attempts to be the first easy-to-read book about nonsmooth optimizationCovers both the theory and the numerical methods used in nonsmooth optimization and offers a survey of different problems arising in the fieldBoth, the theory and the mo.

Condición: New. Print on Demand pp. 392.

Condición: New. PRINT ON DEMAND pp. 392.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 392 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 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.