An optimal method for high order mixed derivatives of bivariate functions
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866910512397156352 |
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| author | Semenova, Y. V. Solodky, S. G. |
| author_facet | Semenova, Y. V. Solodky, S. G. |
| contents | The problem of optimal recovering high-order mixed derivatives of bivariate functions with finite smoothness is studied. Based on the truncation method, an algorithm for numerical differentiation is constructed, which is order-optimal both in the sense of accuracy and in terms of the amount of involved Galerkin information. Numerical examples are provided to illustrate the fact that our approach can be implemented successfully. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_03327 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | An optimal method for high order mixed derivatives of bivariate functions Semenova, Y. V. Solodky, S. G. Numerical Analysis 47A52, 65D25 The problem of optimal recovering high-order mixed derivatives of bivariate functions with finite smoothness is studied. Based on the truncation method, an algorithm for numerical differentiation is constructed, which is order-optimal both in the sense of accuracy and in terms of the amount of involved Galerkin information. Numerical examples are provided to illustrate the fact that our approach can be implemented successfully. |
| title | An optimal method for high order mixed derivatives of bivariate functions |
| topic | Numerical Analysis 47A52, 65D25 |
| url | https://arxiv.org/abs/2407.03327 |