Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7505
Title: Statistical approximation by positive linear operators on modular spaces
Authors: Karakuş, Sevda
Demirci, Kamil
Duman, Oktay
Keywords: Positive linear operators
Modular space
Regular matrix
Statistical convergence
Korovkin theorem
Publisher: Springer
Abstract: In this paper, we investigate the problem of statistical approximation to a function by means of positive linear operators defined on a modular space. Especially, in order to get more powerful results than the classical aspects we mainly use the concept of statistical convergence. A non-trivial application is also presented.
URI: https://doi.org/10.1007/s11117-009-0020-9
https://hdl.handle.net/20.500.11851/7505
ISSN: 1385-1292
1572-9281
Appears in Collections:Matematik Bölümü / Department of Mathematics
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record



CORE Recommender

SCOPUSTM   
Citations

19
checked on Apr 13, 2024

WEB OF SCIENCETM
Citations

25
checked on Apr 13, 2024

Page view(s)

24
checked on Apr 15, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.