Better approximation of function by $\alpha-$Bernstein-P\u{a}lt\u{a}nea operators
Jaspreet Kaur, Meenu Goyal

TL;DR
This paper introduces a new class of $oldsymbol{ extalpha-}$Bernstein-Pe2lte2nea operators that improve approximation quality, providing convergence rates, error bounds, and asymptotic analysis, supported by computational verification.
Contribution
It proposes a novel modification of $ extalpha-$Bernstein-Pe2lte2nea operators with enhanced approximation properties and establishes theoretical convergence and error estimates.
Findings
Improved approximation order over existing operators
Derived convergence and error estimation results
Validated theoretical findings with MAPLE simulations
Abstract
In this paper, we present a new type of Bernstein-P\u{a}lt\u{a}nea operators having a better order of approximation than itself. We establish some approximation results concerning the rate of convergence, error estimation and asymptotic formulas for the new modifications. Also, the theoretical results are verified by using MAPLE algorithms.
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Taxonomy
TopicsApproximation Theory and Sequence Spaces
