You might also like

More about Introduction to Nonsmooth Optimization

• Book details
• Synopsis
• Trending among others

You get 356 loyalty points

Book synopsis

This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily di erentiable 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 di erent problems arising in the eld. 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 eld, it is also well suited as an independent learning guide for practitioners already familiar with the basics of optimization.

Book details

Book category Books in English Mathematics & science Mathematics Calculus & mathematical analysis

• Full title: Introduction to Nonsmooth Optimization
• Subtitle: Theory, Practice and Software
• Author: Adil Bagirov, Napsu Karmitsa, Marko M. Makela
• Language: English
• Binding: Paperback
• Number of pages: 372
• EAN: 9783319346274
• ISBN: 331934627X
• ID: 13633472
• Publisher: Springer International Publishing AG
• Weight: 5913 g
• Dimensions: 235 × 155 × 22 mm
• Date of publishing: 03. August 2016

Trending among others

---

---

---