Introduction to Nonsmooth Optimization Theory, Practice and Software By: Adil Bagirov; Napsu Karmitsa; Marko M. Mäkelä Publisher: Springer Print ISBN: 9783319081137, 3319081136 eText ISBN: 9783319081144, 3319081144 Copyright year: 2014 Format: EPUB Available from $ 129.00 USD SKU: 9783319081144 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. SKU: 9783319081137 Download now: https://ebookscoffee.sellpass.io/products/Introduction-to-Nonsmooth-Optimization
