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Optimization On Solution Sets Of Common Fixed Point Problems Springer Optimization And Its Applications 178 Alexander J Zaslavski

Name: Optimization On Solution Sets Of Common Fixed Point Problems Springer Optimization And Its Applications 178 Alexander J Zaslavski
SKU: BELL-51984346
Price: 31.00 USD
Availability: InStock
Rating: 4.25 (78 reviews)

SKU: BELL-51984346

$ 31.00 ~~$ 45.00~~ (-31%)

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78 reviews

Optimization On Solution Sets Of Common Fixed Point Problems Springer Optimization And Its Applications 178 Alexander J Zaslavski instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 2.58 MB

Pages: 445

Author: Alexander J. Zaslavski

ISBN: 9783030788483, 3030788482

Language: English

Year: 2021

Product desciption

Optimization On Solution Sets Of Common Fixed Point Problems Springer Optimization And Its Applications 178 Alexander J Zaslavski by Alexander J. Zaslavski 9783030788483, 3030788482 instant download after payment.

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.