On the Stancu Type of Novel Generalization of $\left(\lambda,\mu\right)$-Bernstein-Kantorovich Operators

This study investigates the shape parameters $\lambda$ and $\mu$, a concept of contemporary interest due to their capacity to introduce considerable flexibility and enhance modeling possibilities within approximation theory. This paper mainly introduces novel generalized $(\lambda,\mu)$-Bernstein-Kantorovich-Stancu operators. We examine the approximation properties of these operators, establishing the order of approximation through classical methods, specifically utilizing the Lipschitz class and the second modulus of continuity. Finally, to substantiate our theoretical findings, we present comprehensive numerical and graphical illustrations.

Authors

Institutions

Publication Details

Journal
Mathematical Sciences and Applications E-Notes
Published
2026-02-26
DOI
https://doi.org/10.36753/mathenot.1847910
Primary Topic
Approximation Theory and Sequence Spaces
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the Stancu Type of Novel Generalization of $\left(\lambda,\mu\right)$-Bernstein-Kantorovich Operators

Murat BODUR
Mathematical Sciences and Applications E-Notes
Approximation Theory and Sequence Spaces
article

On the Stancu Type of Novel Generalization of $\left(\lambda,\mu\right)$-Bernstein-Kantorovich Operators

Murat BODUR
article en

Abstract

This study investigates the shape parameters $\lambda$ and $\mu$, a concept of contemporary interest due to their capacity to introduce considerable flexibility and enhance modeling possibilities within approximation theory. This paper mainly introduces novel generalized $(\lambda,\mu)$-Bernstein-Kantorovich-Stancu operators. We examine the approximation properties of these operators, establishing the order of approximation through classical methods, specifically utilizing the Lipschitz class and the second modulus of continuity. Finally, to substantiate our theoretical findings, we present comprehensive numerical and graphical illustrations.

Mathematical Sciences and Applications E-Notes(Advanced Online Publication)
Sağlık Bilimleri Üniversitesi (TR)
Openalex Percentile: Top 45%
Approximation Theory and Sequence Spaces
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.