Central Library

Normal view MARC view ISBD view

Introduction to Nonsmooth Optimization [electronic resource] : Theory, Practice and Software / by Adil Bagirov, Napsu Karmitsa, Marko M. M�akel�a.

By: Bagirov, Adil [author.].
Contributor(s): Karmitsa, Napsu [author.] | M�akel�a, Marko M [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XVIII, 372 p. 72 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319081144.Subject(s): Business | Operations research | Decision making | Numerical analysis | Mathematical optimization | Calculus of variations | Management science | Business and Management | Operation Research/Decision Theory | Optimization | Numeric Computing | Operations Research, Management Science | Continuous Optimization | Calculus of Variations and Optimal Control; OptimizationAdditional physical formats: Printed edition:: No titleDDC classification: 658.40301 Online resources: Click here to access online
Contents:
Introduction -- Nonsmooth Analysis and Optimization -- Nonsmooth Problems -- Nonsmooth Optimizational Methods.
In: Springer eBooksSummary: 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 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.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.
    average rating: 0.0 (0 votes)
No physical items for this record

Introduction -- Nonsmooth Analysis and Optimization -- Nonsmooth Problems -- Nonsmooth Optimizational Methods.

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 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.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.

There are no comments for this item.

Log in to your account to post a comment.