Litcius/Paper detail

Applications of Generalized Weighted Statistical Convergence to Approximation Theorems for Functions of One and Two Variables

Faruk Özger

2020Numerical Functional Analysis and Optimization36 citationsDOI

Abstract

In this article, we apply weighted A−statistical convergence to obtain some general approximation results for λ−Bernstein operators. We prove a weighted A−statistical Voronovskaja-type approximation theorem. We support our theoretical parts about approximation properties of constructed bivariate λ−Bernstein operators with numerical results and graphics.

Topics & Concepts

MathematicsBivariate analysisConvergence (economics)Applied mathematicsBernstein polynomialType (biology)Rate of convergenceStatisticsEngineeringChannel (broadcasting)Electrical engineeringEconomicsBiologyEconomic growthEcologyApproximation Theory and Sequence SpacesMathematical Approximation and IntegrationHolomorphic and Operator Theory
Applications of Generalized Weighted Statistical Convergence to Approximation Theorems for Functions of One and Two Variables | Litcius