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zbMATH Open
Article . 2022
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Mathematical Foundations of Computing
Article . 2022 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 2022
Data sources: DBLP
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On Rogosinski-type approximation processes in Banach space using the framework of the cosine operator function

Authors: Andi Kivinukk; Anna Saksa;

On Rogosinski-type approximation processes in Banach space using the framework of the cosine operator function

Abstract

<p style='text-indent:20px;'>In this article, we investigate the approximation properties of general cosine-type operators, especially Rogosinski-type operators, in Banach space when there is a cosine operator function. We apply our approach to both trigonometric Rogosinski operators and Shannon sampling operators. Moreover, for some operators, we derived orders of approximation that include numerical estimates of the constants contained in it. We announced a new direction for approximation issues in the Mellin framework.</p>

Keywords

Abstract approximation theory (approximation in normed linear spaces and other abstract spaces), modulus of continuity, Rogosinski-type approximation processes, degree of approximation, Inequalities in approximation (Bernstein, Jackson, Nikol'skiĭ-type inequalities), cosine operator function

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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!
2
Average
Average
Average
gold