✨
AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Finally, the studycontains numerical considerations regarding the constructed operators based on Maple algorithms.
📌 3 Key Takeaways
🎯
Objective & Hypothesis:In this paper, we investigate approximation properties of the Stancu type generalization of the -Bernsteinoperator.
📊
Key Findings & Data:We obtain a recurrence relation for moments and the rate of convergence by means of moduli of continuity.Also, we present Voronovskaya and Grüss–Voronovskaya type asymptotic results for these operators.
💡
Conclusion & Impact:Finally, the studycontains numerical considerations regarding the constructed operators based on Maple algorithms.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this paper, we investigate approximation properties of the Stancu type generalization of the -Bernsteinoperator. We obtain a recurrence relation for moments and the rate of convergence by means of moduli of continuity.Also, we present Voronovskaya and Grüss–Voronovskaya type asymptotic results for these operators. Finally, the studycontains numerical considerations regarding the constructed operators based on Maple algorithms.
🔖
Cite This Article
ÇETİN, N., RADU, V. A. (2022). Approximation by generalized Bernstein–Stancu operators. Turkish Journal of Mathematics, Cilt: 43 - Sayı: 4, 2032–2048. https://ajindex.com/articles/607615