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Titlebook: Convex Analysis and Beyond; Volume I: Basic Theo Boris S. Mordukhovich,Nguyen Mau Nam Textbook 2022 Springer Nature Switzerland AG 2022 Top

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發(fā)表于 2025-3-21 16:56:26 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Convex Analysis and Beyond
副標題Volume I: Basic Theo
編輯Boris S. Mordukhovich,Nguyen Mau Nam
視頻videohttp://file.papertrans.cn/238/237820/237820.mp4
概述Presents a unified theory of convex analysis, optimization, and related topics in both finite and infinite dimensions.Highlights a variational approach to convex analysis and applications.Includes in-
叢書名稱Springer Series in Operations Research and Financial Engineering
圖書封面Titlebook: Convex Analysis and Beyond; Volume I: Basic Theo Boris S. Mordukhovich,Nguyen Mau Nam Textbook 2022 Springer Nature Switzerland AG 2022 Top
描述This book presents a unified theory of convex functions, sets, and set-valued mappings in topological vector spaces with its specifications to locally convex, Banach and finite-dimensional settings. These developments and expositions are based on the powerful geometric approach of variational analysis, which resides on set extremality with its characterizations and specifications in the presence of convexity. Using this approach, the text consolidates the device of fundamental facts of generalized differential calculus to obtain novel results for convex sets, functions, and set-valued mappings in finite and infinite dimensions. It also explores topics beyond convexity using the fundamental machinery of convex analysis to develop nonconvex generalized differentiation and its applications..?.The text utilizes an adaptable framework designed with researchers as well as multiple levels of students in mind. It includes many exercises and figures suited to graduate classes in mathematical sciences that are also accessible to advanced students in economics, engineering, and other applications. In addition, it includes chapters on convex analysis and optimization in finite-dimensional spac
出版日期Textbook 2022
關鍵詞Topological Vector Spaces; Locally Convex Topological Vector Spaces; Convex Sets; Convex Functions; Conv
版次1
doihttps://doi.org/10.1007/978-3-030-94785-9
isbn_softcover978-3-030-94787-3
isbn_ebook978-3-030-94785-9Series ISSN 1431-8598 Series E-ISSN 2197-1773
issn_series 1431-8598
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

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Textbook 2022udents in mind. It includes many exercises and figures suited to graduate classes in mathematical sciences that are also accessible to advanced students in economics, engineering, and other applications. In addition, it includes chapters on convex analysis and optimization in finite-dimensional spac
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Shahira Fahmy,Mary Angela Bock,Wayne Wantas are nondifferentiable at the points of interest, the now flourishing generalized differentiation theory oriented toward optimization-related problems has started from convex analysis and then has been extended to more general variational frameworks. It concerns not only nondifferentiable functions
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Why Macroprudential Policy? Brief Overviews for the study of generalized differentiation . the function convexity. A conventional way to do it is developing a scheme using first a suitable extension of the . and then defining the corresponding . via a . with such an extended directional derivative. The subgradient mappings obtained in this
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https://doi.org/10.1007/978-3-030-94785-9Topological Vector Spaces; Locally Convex Topological Vector Spaces; Convex Sets; Convex Functions; Conv
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