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Optimization on Solution Sets of Common Fixed Point Problems

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Studies the influence of computational errors on minimization problems with a convex objective function on a common fixed point set of a finite family of quasi-nonexpansive mappings Highlights the use of Cimmino type subgradient algorithms Highlights the use of the iterative subgradient algorithms Highlights the use of the dynamic string-averaging subgradient algorithm

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Studies the influence of computational errors on minimization problems with a convex objective function on a common fixed point set of a finite family of quasi-nonexpansive mappings Highlights the use of Cimmino type subgradient algorithms Highlights the use of the iterative subgradient algorithms Highlights the use of the dynamic string-averaging subgradient algorithm

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Hardcover, Softcover

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Book information

Edition
1st Edition
ISBN [Hardcover]
9783030788483
ISBN [Softcover]
9783030788513
Publisher
Springer
Year
2021
Pages
XI, 434 p.
Series Title
Springer Optimization and Its Applications
Language
English
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