Statistical Blending-Type Approximation by a Class of Operators That Includes Shape Parameters λ and α
Qing-Bo Cai,
Khursheed J. Ansari,
Merve Temizer Ersoy and
Faruk Özger
Additional contact information
Qing-Bo Cai: Fujian Provincial Key Laboratory of Data-Intensive Computing, Key Laboratory of Intelligent Computing and Information Processing, School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou 362000, China
Khursheed J. Ansari: Department of Mathematics, College of Science, King Khalid University, Abha 61413, Saudi Arabia
Merve Temizer Ersoy: Department of Software Engineering, Faculty of Engineering and Architecture, Nisantasi University, Istanbul 34398, Turkey
Faruk Özger: Department of Engineering Sciences, İzmir Katip Çelebi University, İzmir 35620, Turkey
Mathematics, 2022, vol. 10, issue 7, 1-20
Abstract:
This paper is devoted to studying the statistical approximation properties of a sequence of univariate and bivariate blending-type Bernstein operators that includes shape parameters α and λ and a positive integer. An estimate of the corresponding rates was obtained, and a Voronovskaja-type theorem is given by a weighted A -statistical convergence. A Korovkin-type theorem is provided for the univariate and bivariate cases of the blending-type operators. Moreover, the convergence behavior of the univariate and bivariate new blending basis and new blending operators are exhaustively demonstrated by computer graphics. The studied univariate and bivariate blending-type operators reduce to the well-known Bernstein operators in the literature for the special cases of shape parameters α and λ , and they propose better approximation results.
Keywords: Voronovskaja-type theorem; blending-type operators; ? -Bernstein operators; ? -Bernstein operators; shape parameters; statistical convergence; convergence rates; bivariate approximation; computer graphics (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/2227-7390/10/7/1149/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/7/1149/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:7:p:1149-:d:786019
Access Statistics for this article
Mathematics is currently edited by Ms. Emma He
More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().