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Titlebook: Fundamentals of Convex Analysis and Optimization; A Supremum Function Rafael Correa,Abderrahim Hantoute,Marco A. López Textbook 2023 The E

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書目名稱Fundamentals of Convex Analysis and Optimization
副標題A Supremum Function
編輯Rafael Correa,Abderrahim Hantoute,Marco A. López
視頻videohttp://file.papertrans.cn/351/350225/350225.mp4
概述Convexity based on the properties of the supremum of a family of convex functions.Emphasizes direct approach to the mathematic foundations of convex optimization.Contains chapter-level exercises with
叢書名稱Springer Series in Operations Research and Financial Engineering
圖書封面Titlebook: Fundamentals of Convex Analysis and Optimization; A Supremum Function  Rafael Correa,Abderrahim Hantoute,Marco A. López Textbook 2023 The E
描述This book aims at an innovative approach within the framework of convex analysis and optimization, based on an in-depth study of the behavior and properties of the supremum of families of convex functions.?It presents an original and systematic treatment of convex analysis, covering standard results and improved calculus rules in subdifferential analysis. The tools supplied in the text allow a direct approach to the mathematical foundations of convex optimization, in particular to optimality and duality theory. Other applications in the book concern convexification processes in optimization, non-convex integration of the Fenchel subdifferential, variational characterizations of convexity, and the study of Chebychev sets. At the same time, the underlying geometrical meaning of all the involved concepts and operations is highlighted and duly emphasized. A notable feature of the book is its unifying methodology, as well as the novelty of providing an alternative or complementary viewto the traditional one in which the discipline is presented to students and researchers.?.This textbook can be used for courses on optimization, convex and variational analysis, addressed to graduate and p
出版日期Textbook 2023
關鍵詞Convex analysis; Supremum function; Subdifferential calculus rules; Optimality theory; Constraint qualif
版次1
doihttps://doi.org/10.1007/978-3-031-29551-5
isbn_softcover978-3-031-29553-9
isbn_ebook978-3-031-29551-5Series ISSN 1431-8598 Series E-ISSN 2197-1773
issn_series 1431-8598
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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