EconPapers    
Economics at your fingertips  
 

Spaces with Generalized Distances

Alexander J. Zaslavski
Additional contact information
Alexander J. Zaslavski: The Technion - Israel Institute of Technology

Chapter Chapter 6 in Approximate Solutions of Common Fixed-Point Problems, 2016, pp 199-250 from Springer

Abstract: Abstract In this chapter we study the convergence of dynamic string-maximum methods for solving common fixed point problems in a space equipped with a generalized distance. Our main goal is to obtain an approximate solution of the problem in the presence of computational errors. We show that our dynamic string-maximum algorithm generates a good approximate solution, if the sequence of computational errors is bounded from above by a constant.

Keywords: Common Fixed Point Problem; Computational Errors; Good Approximate Solution; Index Vector; Natural Numbers (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_6

Ordering information: This item can be ordered from
http://www.springer.com/9783319332550

DOI: 10.1007/978-3-319-33255-0_6

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 ().

 
Page updated 2025-04-01
Handle: RePEc:spr:spochp:978-3-319-33255-0_6