Dynamic String-Averaging Methods in Normed Spaces
Alexander J. Zaslavski
Additional contact information
Alexander J. Zaslavski: The Technion - Israel Institute of Technology
Chapter Chapter 4 in Approximate Solutions of Common Fixed-Point Problems, 2016, pp 99-151 from Springer
Abstract:
Abstract In this chapter we study the convergence of dynamic string-averaging methods for solving common fixed point problems in a normed space. Our main goal is to obtain an approximate solution of the problem in the presence of computational errors. We show that our dynamic string-averaging algorithm generates a good approximate solution, if the sequence of computational errors is bounded from above by a constant.
Keywords: Normed Space; Common Fixed Point Problem; Computational Errors; Good Approximate Solution; String Variables (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-319-33255-0_4
Ordering information: This item can be ordered from
http://www.springer.com/9783319332550
DOI: 10.1007/978-3-319-33255-0_4
Access Statistics for this chapter
More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().