| 書(shū)目名稱 | Introduction to Nonsmooth Optimization |
| 副標(biāo)題 | Theory, Practice and |
| 編輯 | Adil Bagirov,Napsu Karmitsa,Marko M. M?kel? |
| 視頻video | http://file.papertrans.cn/474/473972/473972.mp4 |
| 概述 | Attempts to be the first easy-to-read book about nonsmooth optimization.Covers both the theory and the numerical methods used in nonsmooth optimization and offers a survey of different problems arisin |
| 圖書(shū)封面 |  |
| 描述 | .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. |
| 出版日期 | Book 2014 |
| 關(guān)鍵詞 | Bundle methods; Nondifferentiable optimization; Nonsmooth analysis; Subgradient methods; Test problems |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-08114-4 |
| isbn_softcover | 978-3-319-34627-4 |
| isbn_ebook | 978-3-319-08114-4 |
| copyright | Springer International Publishing Switzerland 2014 |
|Archiver|手機(jī)版|小黑屋|
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