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Journal of Mathematics
Article . 2023 . Peer-reviewed
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Journal of Mathematics
Article . 2023
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A Note on Approximation of Blending Type Bernstein–Schurer–Kantorovich Operators with Shape Parameter α

ملاحظة حول تقريب مشغلي نوع المزج Bernstein - Schurer - Kantorovich مع معلمة الشكل α
Authors: Mohammad Ayman Mursaleen; Nadeem Rao; Mamta Rani; Adem Kılıçman; Ahmed Ahmed Hussin Ali Al-Abied; P. K. Malik;

A Note on Approximation of Blending Type Bernstein–Schurer–Kantorovich Operators with Shape Parameter α

Abstract

The objective of this paper is to construct univariate and bivariate blending typeα-Schurer–Kantorovich operators depending on two parametersα∈0,1andρ>0to approximate a class of measurable functions on0,1+q,q>0. We present some auxiliary results and obtain the rate of convergence of these operators. Next, we study the global and local approximation properties in terms of first- and second-order modulus of smoothness, weight functions, and by Peetre’sK-functional in different function spaces. Moreover, we present some study on numerical and graphical analysis for our operators.

Keywords

Statistics and Probability, Mathematical analysis, High-dimensional Integration and Quasi-Monte Carlo Methods, Health Sciences, QA1-939, FOS: Mathematics, Univariate, Apelin Signaling and Physiology, Multivariate Approximation, Biology, Pharmacology, Numerical Analysis, Algebra over a field, Ecology, Statistics, Statistical Convergence in Approximation Theory and Functional Analysis, Pure mathematics, Smoothness, Multivariate statistics, Bivariate analysis, Combinatorics, FOS: Biological sciences, Physical Sciences, Medicine, Type (biology), Mathematics

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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!
13
Top 10%
Top 10%
Top 10%
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