Approximation by Micchelli Combination of Half Bernstein Polynomials

This paper improves the rate of convergence of the half Bernstein polynomial of positive and linear operators H n,2k (g; x) by applying the technique of iterative combination (Micchelli combination).It turns out that this method improves the order of approximations to O(n -k ).Next, using this sequence, we investigate the Voronovskaja asymptotic expression in both ordinary and instantaneous approximating for smooth functions.The mistake caused by this approximation is then estimated by means of the modulus for continuity.Next, in order for approximation assessment functions, we provide numerical illustrations via this iterative combination of the sequence H n,2k (g; x).Lastly, we contrast the repeated combination's outcomes with the numerical outcomes obtained from the sequence H n,2k (g; x) without iterative combination.

Publication Details

Journal
Advanced mathematical models & applications.
Published
2025-08-03
DOI
https://doi.org/10.62476/amma.102372
Primary Topic
Approximation Theory and Sequence Spaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Approximation by Micchelli Combination of Half Bernstein Polynomials

Advanced mathematical models & applications.
Approximation Theory and Sequence Spaces
article

Approximation by Micchelli Combination of Half Bernstein Polynomials

article en

Abstract

This paper improves the rate of convergence of the half Bernstein polynomial of positive and linear operators H n,2k (g; x) by applying the technique of iterative combination (Micchelli combination).It turns out that this method improves the order of approximations to O(n -k ).Next, using this sequence, we investigate the Voronovskaja asymptotic expression in both ordinary and instantaneous approximating for smooth functions.The mistake caused by this approximation is then estimated by means of the modulus for continuity.Next, in order for approximation assessment functions, we provide numerical illustrations via this iterative combination of the sequence H n,2k (g; x).Lastly, we contrast the repeated combination's outcomes with the numerical outcomes obtained from the sequence H n,2k (g; x) without iterative combination.

Advanced mathematical models & applications.
Openalex Percentile: Top 81%
Approximation Theory and Sequence Spaces
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