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Can I read Introduction to Nonsmooth Optimization : Theory, Practice and Software on EtoBox?
Introduction to Nonsmooth Optimization : Theory, Practice and Software by Adil Bagirov, Napsu Karmitsa, Marko M. Mäkelä (auth.) is a nonfiction available to read on EtoBox.
What is Introduction to Nonsmooth Optimization : Theory, Practice and Software about?
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.
Who reads Introduction to Nonsmooth Optimization : Theory, Practice and Software?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Adil Bagirov, Napsu Karmitsa, Marko M. Mäkelä (auth.)
- Publisher
- Springer International Publishing : Imprint : Springer
- Published
- 2014
- Language
- EN
- ISBN
- 9783319081137
- Category
- nonfiction
- Subjects
- Mathematics, Science, Technology
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