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Convex Analysis and Beyond: Volume I: Basic Theory (Springer Series in Operations Research and Financial Engineering) Papeback - 2022
by Boris S. Mordukhovich; Nguyen Mau Nam
- New
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Details
- Title Convex Analysis and Beyond: Volume I: Basic Theory (Springer Series in Operations Research and Financial Engineering)
- Author Boris S. Mordukhovich; Nguyen Mau Nam
- Binding Papeback
- Condition New
- Pages 585
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date 1st ed. 2022 edition NO-PA16
- Bookseller's Inventory # 6396287298
- ISBN 9783030947873 / 3030947874
- Weight 2.36 lbs (1.07 kg)
- Category Mathematics
- Quantity available 4
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From the publisher
From the rear cover
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 classesin 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 spaces that will be useful to upper undergraduate students, whereas the work as a whole provides an ample resource to mathematicians and applied scientists, particularly experts in convex and variational analysis, optimization, and their applications.
