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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Graphs of the approximation are obtained using the Maple program.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper, a new generalization of Bernstein operators is defined.
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Key Findings & Data:The Korovkin type approximation and the statistical approximation of this new operator are studied.
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Conclusion & Impact:Graphs of the approximation are obtained using the Maple program.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Approximation theory · linear positive operators · statistical approximation
Abstract
In this paper, a new generalization of Bernstein operators is defined. The Korovkin type approximation and the statistical approximation of this new operator are studied. Voronovskaja type and quantitative Voronovskaja type approximation theorems are proved. Graphs of the approximation are obtained using the Maple program.
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Cite This Article
İzgi, A., Dinsever, D. K. (2026). On the Korovkin-Type and Statistical Approximation of A New Linear Positive Operators. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, Volume: 75 Issue: 1. https://doi.org/10.31801/cfsuasmas.1468206