Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/8250
Title: Regular summability methods in the approximation by max-min operators
Authors: Gökçer, Turkan Yeliz
Duman, Oktay
Keywords: Max-min operations
Max-min Shepard operators
Pseudo-linearity
Quasiconcave function
Regular summability methods
Cesaro summability
Almost convergence
Summation Process
Product
Convergence
Operations
Sequence
Matrix
Rates
Issue Date: 2022
Publisher: Elsevier
Abstract: In this paper, by using nonnegative regular summability methods we improve and generalize the approximation properties of max-min operators which have been investigated systematically in our recent paper published in 2020 in this journal. We also discuss the rate of convergence in the approximation. Applications and concluding remarks at the end of the paper explain why we need such summability methods. (c) 2021 Elsevier B.V. All rights reserved.
URI: https://doi.org/10.1016/j.fss.2021.03.003
https://hdl.handle.net/20.500.11851/8250
ISSN: 0165-0114
1872-6801
Appears in Collections:Matematik Bölümü / Department of Mathematics
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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