Numerical derivation of multivariate functions

We consider the problem of the numerical derivation of a function of several real variables. The proposed numerical method is based on the singular value expansion of the integral formulation of the derivative problem generalised to the multivariate case. The resulting derivation method is able to compute the partial derivatives of a multivariate function sampled at points in general position. The accuracy of the proposed method is analysed and confirmed by numerical tests performed for different distributions of the sampling points.

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Publication Details

Journal
Applied Numerical Mathematics
Published
2024-12-31
DOI
https://doi.org/10.1016/j.apnum.2024.12.011
Primary Topic
Iterative Methods for Nonlinear Equations
Type
article
Field-Weighted Citation Impact
0.00

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article

Numerical derivation of multivariate functions

Pierluigi Maponi, Nadaniela Egidi, Josephin Giacomini
1 links
Applied Numerical Mathematics
Iterative Methods for Nonlinear Equations
article

Numerical derivation of multivariate functions

Pierluigi Maponi, Nadaniela Egidi, Josephin Giacomini
article en

Abstract

We consider the problem of the numerical derivation of a function of several real variables. The proposed numerical method is based on the singular value expansion of the integral formulation of the derivative problem generalised to the multivariate case. The resulting derivation method is able to compute the partial derivatives of a multivariate function sampled at points in general position. The accuracy of the proposed method is analysed and confirmed by numerical tests performed for different distributions of the sampling points.

Applied Numerical MathematicsVol. 210
European Commission, Faculty of Science and Engineering, University of Manchester
Openalex Percentile: Top 62%
Iterative Methods for Nonlinear Equations
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