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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 2006 . Peer-reviewed
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Statistical approximation of Meyer--König and Zeller operators based on $q$-integers

Statistical approximation of Meyer-König and Zeller operators based on \(q\)-integers
Authors: Doğru, O.; Duman, O.;

Statistical approximation of Meyer--König and Zeller operators based on $q$-integers

Abstract

Summary: In this paper, we introduce a generalization of the Meyer-König and Zeller operators based on \(q\)-integers and get a Bohman-Korovkin type approximation theorem of these operators via \(A\)-statistical convergence. We also compute rate of \(A\)-statistical convergence of these \(q\)-type operators by means of the modulus of continuity and Lipschitz type maximal function, respectively. The second purpose of this note is to obtain explicit formulas for the monomials \(\big( \frac{t}{1-t}\big) ^{\nu }\), \(\nu =0,1,2\) of \(q\)-type generalization of Meyer-König and Zeller operators.

Country
Turkey
Keywords

the Bollman-Korovkin type theorem, Approximation to limiting values (summation of series, etc.), \(q\)-integers, Approximation by positive operators, Rate of convergence, degree of approximation, the Bohman-Korovkin type theorem, q-integers, Approximation by polynomials, \(A\)-statistical convergence, modulus of continuity, A-statistical convergence, Lipschitz type maximal function, positive linear operators

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Top 10%
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