Introduction to Nonsmooth Optimization is popular PDF and ePub book, written by Adil Bagirov in 2014-08-12, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Introduction to Nonsmooth Optimization can be Read Online from any device for your convenience.
Introduction to Nonsmooth Optimization Book PDF Summary
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.
Detail Book of Introduction to Nonsmooth Optimization PDF
- Author : Adil Bagirov
- Release : 12 August 2014
- Publisher : Springer
- ISBN : 9783319081144
- Genre : Business & Economics
- Total Page : 372 pages
- Language : English
- PDF File Size : 7,6 Mb
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