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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
In our construction particular cases are outlined.
📌 3 Key Takeaways
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Objective & Hypothesis:Starting from a discrete linear approximation process that has the ability to turn polynomials into polynomials of the same degree, we introduce an integral generalization by using Beta-type bases.
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Key Findings & Data:Some properties of this new sequence of operators are investigated in unweighted and weighted spaces of functions defined on unbounded interval.
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Conclusion & Impact:In our construction particular cases are outlined.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Korovkin theorem · modulus of smoothness · weighted space
Abstract
Starting from a discrete linear approximation process that has the ability to turn polynomials into polynomials of the same degree, we introduce an integral generalization by using Beta-type bases. Some properties of this new sequence of operators are investigated in unweighted and weighted spaces of functions defined on unbounded interval. In our construction particular cases are outlined.
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Cite This Article
AGRATİNİ, O. (2022). Linear positive operators constructed by using Beta-type bases. Hacettepe Journal of Mathematics and Statistics, Cilt: 49 - Sayı: 3, 1030–1038. https://ajindex.com/articles/529554