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Titlebook: Introduction to Nonsmooth Optimization; Theory, Practice and Adil Bagirov,Napsu Karmitsa,Marko M. M?kel? Book 2014 Springer International P

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發(fā)表于 2025-3-21 19:57:33 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Introduction to Nonsmooth Optimization
副標題Theory, Practice and
編輯Adil Bagirov,Napsu Karmitsa,Marko M. M?kel?
視頻videohttp://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
圖書封面Titlebook: Introduction to Nonsmooth Optimization; Theory, Practice and Adil Bagirov,Napsu Karmitsa,Marko M. M?kel? Book 2014 Springer International P
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
doihttps://doi.org/10.1007/978-3-319-08114-4
isbn_softcover978-3-319-34627-4
isbn_ebook978-3-319-08114-4
copyrightSpringer International Publishing Switzerland 2014
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沙發(fā)
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板凳
發(fā)表于 2025-3-22 01:01:00 | 只看該作者
https://doi.org/10.1007/978-3-319-08114-4Bundle methods; Nondifferentiable optimization; Nonsmooth analysis; Subgradient methods; Test problems
地板
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5#
發(fā)表于 2025-3-22 10:53:38 | 只看該作者
978-3-319-34627-4Springer International Publishing Switzerland 2014
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發(fā)表于 2025-3-22 17:23:38 | 只看該作者
Academic Problemsion which can be and have been used to test the nonsmooth optimization software. We use a classification of test problems such that it is easy to pick up those problems that share features in interest. That is, for instance, convexity or nonconvexity, or min-max, piecewise quadratic or general polynomial objective function structure, etc.
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發(fā)表于 2025-3-23 00:51:05 | 只看該作者
Hybrid Methodsods to be introduced are the . and the . for solving general small- and medium-scale nonsmooth optimization problems; the modification of variable metric bundle method for solving large-scale nonsmooth optimization problems, that is, the .; and the . for extremely large-scale convex nonsmooth optimization problems.
9#
發(fā)表于 2025-3-23 04:20:13 | 只看該作者
Nonconvex Analysis subdifferential, many different generalizations of the concept of a subdifferential for nonconvex nonsmooth functions exist. At the end of this chapter we briefly recall some of them. More specifically we give definitions of the quasidifferential, the codifferential, the basic (limiting) and the singular subdifferentials.
10#
發(fā)表于 2025-3-23 06:12:03 | 只看該作者
Generalized Convexitieses of the generalized pseudo- and quasiconvexities for nondifferentiable locally Lipschitz continuous functions. The treatment is based on the Clarke subdifferentials and generalized directional derivatives.
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