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Article detail · 2022

Approximation by Statistical Convergence with Respect to Power Series Methods

YÖKSİS OpenAlex Open access · diamond SJR Q3 JCR Q3 TR Index Citations 15 Percentile 88.4% FWCI 2.22
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.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

15 citations

OpenAlex cited_by_count (cache / database)

Authors

  1. NİLAY ŞAHİN BAYRAM BAŞKENT ÜNİVERSİTESİ
  2. SEVDA YILDIZ SİNOP ÜNİVERSİTESİ