Téléchargez le livre : Optimization on Solution Sets of Common Fixed Point Problems

Optimization on Solution Sets of Common Fixed Point Problems

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Éditeur :

Springer


Collection :

Springer Optimization and Its Applications

Paru le : 2021-08-09

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Description

This book is devoted to a detailed study of the subgradient projection method and its variants for convex optimization problems over the solution sets of common fixed point problems and convex feasibility problems. These optimization problems are investigated to determine good solutions obtained by different versions of the subgradient projection algorithm in the presence of sufficiently small computational errors.  The use of selected algorithms is highlighted including the Cimmino type subgradient, the iterative subgradient, and the dynamic string-averaging subgradient.  All results presented are new.  Optimization problems where the underlying constraints are the solution sets of other problems, frequently occur in applied mathematics. The reader should not miss the section in Chapter 1 which considers some examples arising in the real world applications. The problems discussed have an important impact in optimization theory as well. The book will be useful for researches interested in the optimization theory and its applications.
Pages
434 pages
Collection
Springer Optimization and Its Applications
Parution
2021-08-09
Marque
Springer
EAN papier
9783030788483
EAN PDF
9783030788490
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
43
Taille du fichier
4260 Ko
Prix
137,14 €
EAN EPUB
9783030788490
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
43
Taille du fichier
30740 Ko
Prix
137,14 €

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