A novel interpolation-regression approach for function approximation on the disk and its application to cubature formulas
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866909730972106752 |
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| author | Dell'Accio, Francesco Marcellán, Francisco Nudo, Federico |
| author_facet | Dell'Accio, Francesco Marcellán, Francisco Nudo, Federico |
| contents | The interpolation-regression approximation is a powerful tool in numerical analysis for reconstructing functions defined on square or triangular domains from their evaluations at a regular set of nodes. The importance of this technique lies in its ability to avoid the Runge phenomenon. In this paper, we present a polynomial approximation method based on an interpolation-regression approach for reconstructing functions defined on disk domains from their evaluations at a general set of sampling points. Special attention is devoted to the selection of interpolation nodes to ensure numerical stability, particularly in the context of Zernike polynomials. As an application, the proposed method is used to derive accurate cubature formulas for numerical integration over the disk. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_07047 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A novel interpolation-regression approach for function approximation on the disk and its application to cubature formulas Dell'Accio, Francesco Marcellán, Francisco Nudo, Federico Numerical Analysis The interpolation-regression approximation is a powerful tool in numerical analysis for reconstructing functions defined on square or triangular domains from their evaluations at a regular set of nodes. The importance of this technique lies in its ability to avoid the Runge phenomenon. In this paper, we present a polynomial approximation method based on an interpolation-regression approach for reconstructing functions defined on disk domains from their evaluations at a general set of sampling points. Special attention is devoted to the selection of interpolation nodes to ensure numerical stability, particularly in the context of Zernike polynomials. As an application, the proposed method is used to derive accurate cubature formulas for numerical integration over the disk. |
| title | A novel interpolation-regression approach for function approximation on the disk and its application to cubature formulas |
| topic | Numerical Analysis |
| url | https://arxiv.org/abs/2508.07047 |