Optimization of methods for mixed derivatives of bivariate functions

The problem of optimal recovering high-order mixed derivatives of bivariate functions is studied. For numerical differentiation, a new version of the truncation method is proposed. It is established that this algorithm is order-optimal both in the sense of accuracy and in terms of the amount of involved discrete information.

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Publication Details

Journal
International Journal of Wavelets Multiresolution and Information Processing
Published
2024-12-27
DOI
https://doi.org/10.1142/s0219691324500656
Citations
1
Primary Topic
Mathematical functions and polynomials
Type
article
Field-Weighted Citation Impact
0.97
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article

Optimization of methods for mixed derivatives of bivariate functions

S. G. Solodky, Y. V. Semenova
1 citations
International Journal of Wavelets Multiresolution and Information Processing
Mathematical functions and polynomials
0.97
article

Optimization of methods for mixed derivatives of bivariate functions

S. G. Solodky, Y. V. Semenova
article en
1 citations

Abstract

The problem of optimal recovering high-order mixed derivatives of bivariate functions is studied. For numerical differentiation, a new version of the truncation method is proposed. It is established that this algorithm is order-optimal both in the sense of accuracy and in terms of the amount of involved discrete information.

International Journal of Wavelets Multiresolution and Information ProcessingVol. 23(03)
National Academy of Sciences of Ukraine (UA), Institute of Mathematics (UA), Justus-Liebig-Universität Gießen (DE), Giessen School of Theology (DE)
Openalex Percentile: Top 21%
Mathematical functions and polynomials
0.97
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