Optimization on Solution Sets of Common Fixed Point Problems

Optimization on Solution Sets of Common Fixed Point Problems
Author :
Publisher : Springer Nature
Total Pages : 434
Release :
ISBN-10 : 9783030788490
ISBN-13 : 3030788490
Rating : 4/5 (490 Downloads)

Book Synopsis Optimization on Solution Sets of Common Fixed Point Problems by : Alexander J. Zaslavski

Download or read book Optimization on Solution Sets of Common Fixed Point Problems written by Alexander J. Zaslavski and published by Springer Nature. This book was released on 2021-08-09 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Optimization on Solution Sets of Common Fixed Point Problems Related Books

Optimization on Solution Sets of Common Fixed Point Problems
Language: en
Pages: 434
Authors: Alexander J. Zaslavski
Categories: Mathematics
Type: BOOK - Published: 2021-08-09 - Publisher: Springer Nature

DOWNLOAD EBOOK

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
Approximate Solutions of Common Fixed-Point Problems
Language: en
Pages: 457
Authors: Alexander J. Zaslavski
Categories: Mathematics
Type: BOOK - Published: 2016-06-30 - Publisher: Springer

DOWNLOAD EBOOK

This book presents results on the convergence behavior of algorithms which are known as vital tools for solving convex feasibility problems and common fixed poi
Algorithms for Solving Common Fixed Point Problems
Language: en
Pages: 320
Authors: Alexander J. Zaslavski
Categories: Mathematics
Type: BOOK - Published: 2018-05-02 - Publisher: Springer

DOWNLOAD EBOOK

This book details approximate solutions to common fixed point problems and convex feasibility problems in the presence of perturbations. Convex feasibility prob
Nonlinear Analysis and Global Optimization
Language: en
Pages: 484
Authors: Themistocles M. Rassias
Categories: Mathematics
Type: BOOK - Published: 2021-02-26 - Publisher: Springer Nature

DOWNLOAD EBOOK

This contributed volume discusses aspects of nonlinear analysis in which optimization plays an important role, as well as topics which are applied to the study
Solutions of Fixed Point Problems with Computational Errors
Language: en
Pages: 392
Authors: Alexander J. Zaslavski
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK