logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Optimization on Solution Sets of Common Fixed Point Problems by Alexander J. Zaslavski ISBN 9783030788483, 9783030788490, 3030788482, 3030788490

  • SKU: EBN-43024678
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.7

13 reviews
Instant download (eBook) Optimization on Solution Sets of Common Fixed Point Problems after payment.
Authors:Alexander J. Zaslavski
Pages:434 pages.
Year:2021
Editon:1
Publisher:Springer
Language:english
File Size:3.59 MB
Format:pdf
ISBNS:9783030788483, 9783030788490, 3030788482, 3030788490
Categories: Ebooks

Product desciption

(Ebook) Optimization on Solution Sets of Common Fixed Point Problems by Alexander J. Zaslavski ISBN 9783030788483, 9783030788490, 3030788482, 3030788490

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.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products