A Numerical Study of Combining RBF Interpolation and Finite Differences to Approximate Differential Operators

This paper focuses on RBF-based meshless methods for approximating differential operators, one of the most popular being RBF-FD. Recently, a hybrid approach was introduced that combines RBF interpolation and traditional finite difference stencils. We compare the accuracy of this method and RBF-FD on a two-dimensional Poisson problem for standard five-point and nine-point stencils and different method parameters.

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Published
2025-06-02
DOI
https://doi.org/10.1109/mipro65660.2025.11132052
Citations
1
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
3.69

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article

A Numerical Study of Combining RBF Interpolation and Finite Differences to Approximate Differential Operators

Andrej Kolar-Požun, Gregor Kosec, Adrijan Rogan
1 citations
Numerical methods in inverse problems
3.69
article

A Numerical Study of Combining RBF Interpolation and Finite Differences to Approximate Differential Operators

Andrej Kolar-Požun, Gregor Kosec, Adrijan Rogan
article en
1 citations

Abstract

This paper focuses on RBF-based meshless methods for approximating differential operators, one of the most popular being RBF-FD. Recently, a hybrid approach was introduced that combines RBF interpolation and traditional finite difference stencils. We compare the accuracy of this method and RBF-FD on a two-dimensional Poisson problem for standard five-point and nine-point stencils and different method parameters.

Jožef Stefan Institute (SI)
Javna Agencija za Raziskovalno Dejavnost RS
Openalex Percentile: Top 8%
Numerical methods in inverse problems
3.69
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