Article detail · 2022
Approximation by Statistical Convergence with Respect to Power Series Methods
- Year
- 2022
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Hacettepe Journal of Mathematics and Statistics
- Catalog match (ISSN) Hacettepe Journal of Mathematics and Statistics
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
In the present work, using statistical convergence with respect to power series methods, we obtain various Korovkin-type approximation theorems for linear operators defined on derivatives of functions. Then we give an example satisfying our approximation theorem. We study certain rate of convergence related to this method. In the final section we summarize these results to emphasize the importance of the study.
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Citations
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15 citations
OpenAlex cited_by_count (cache / database)
15 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Approximation theorems via Pp -statistical convergence on weighted spaces 2024
- WEIGHTED B-SUMMABILITY AND POSITIVE LINEAR OPERATORS 2025
- Weighted Convergence and Applications to Approximation Theorems for Sequences of Monotone and Sublinear Operators 2025
- Approximation via Statistical Convergence in the Sense of Power Series Method of Bögel-Type Continuous Functions 2022
- ON STATISTICAL LIMIT POINTS WITH RESPECT TO POWER SERIES METHODS AND MODULUS FUNCTIONS 2023
- On statistical limit points with respect to power series methods and modulus functions 2023
- Approximation via a product (P, K_a )-convergence method on H_ω(K) 2026
- Approximation Results by Statistical Convergence Based on a Power Series in Modular Spaces 2023
- Korovkin-type Approximation Theorems for Functions with the Help of $$\mathcal {I}$$-statistical Convergence 2026
- Korovkin Theory via Power Series Methods for Double Sequences of Monotone Sublinear Operators 2026