Introduction to Nonsmooth Optimization Theory, Practice and Software /

• Main Authors: Bagirov, Adil (Author), Karmitsa, Napsu (Author), Mäkelä, Marko M. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Subjects: 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; Optimization.

 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. 

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