Approximation by Durrmeyer Type Exponential Sampling Operators
Shivam Bajpeyi, A. Sathish Kumar, Ilaria Mantellını
Abstract
In the present article, we derive some approximation results concerning the order of convergence for a family of Durrmeyer type exponential sampling operators. Further, we improve the rate of approximation by constructing linear combinations of these operators. At the end, we provide a few examples of the kernel functions to which the presented theory can be applied along with the graphical representation.
Topics & Concepts
MathematicsExponential functionExponential typeRate of convergenceApplied mathematicsConvergence (economics)Kernel (algebra)Representation (politics)Type (biology)Mathematical analysisPure mathematicsComputer sciencePoliticsEconomicsBiologyChannel (broadcasting)Economic growthComputer networkPolitical scienceLawEcologyApproximation Theory and Sequence SpacesMathematical Approximation and IntegrationMathematical Inequalities and Applications