Introduction to Nonsmooth Optimization
Bagirov, Adil.
Introduction to Nonsmooth Optimization Theory, Practice and Software / [electronic resource] : by Adil Bagirov, Napsu Karmitsa, Marko M. Mäkelä. - Cham : Springer International Publishing : Imprint: Springer, 2014. - XVIII, 372 p. 72 illus. online resource.
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.
9783319081144
10.1007/978-3-319-08114-4 doi
Economics.
Electronic data processing.
Mathematical optimization.
Operations research.
Economics/Management Science.
Operation Research/Decision Theory.
Optimization.
Numeric Computing.
Operations Research, Management Science.
Continuous Optimization.
Calculus of Variations and Optimal Control; Optimization.
HD30.23
658.40301
Introduction to Nonsmooth Optimization Theory, Practice and Software / [electronic resource] : by Adil Bagirov, Napsu Karmitsa, Marko M. Mäkelä. - Cham : Springer International Publishing : Imprint: Springer, 2014. - XVIII, 372 p. 72 illus. online resource.
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.
9783319081144
10.1007/978-3-319-08114-4 doi
Economics.
Electronic data processing.
Mathematical optimization.
Operations research.
Economics/Management Science.
Operation Research/Decision Theory.
Optimization.
Numeric Computing.
Operations Research, Management Science.
Continuous Optimization.
Calculus of Variations and Optimal Control; Optimization.
HD30.23
658.40301