On optimization of numerical differentiation methods for bivariate functions
UDC 519.653 For the problem of numerical differentiation for bivariate functions with finite smoothness, the exact orders of the minimum radius of Galerkin information are found, and also a variant of the truncation method is constructed, which is optimal in the sense of the indicated quantity.
Збережено в:
| Дата: | 2022 |
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| Автори: | , , , |
| Формат: | Стаття |
| Мова: | Українська |
| Опубліковано: |
Institute of Mathematics, NAS of Ukraine
2022
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| Онлайн доступ: | https://umj.imath.kiev.ua/index.php/umj/article/view/6906 |
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| Назва журналу: | Ukrains’kyi Matematychnyi Zhurnal |
| Завантажити файл: |  |
Репозитарії
Ukrains’kyi Matematychnyi Zhurnal| Резюме: | UDC 519.653
For the problem of numerical differentiation for bivariate functions with finite smoothness, the exact orders of the minimum radius of Galerkin information are found, and also a variant of the truncation method is constructed, which is optimal in the sense of the indicated quantity. |
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| DOI: | 10.37863/umzh.v74i2.6906 |