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Data-driven Modelling and Scientific Machine Learning in Continuum Physics - Interdisciplinary Applied Mathematics Krishna Garikipati 2024 Edition
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Data-driven Modelling and Scientific Machine Learning in Continuum Physics - Interdisciplinary Applied Mathematics
Krishna Garikipati
This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science—specifically in continuum physics. This is followed by a brief treatment of the finite element method, since it is the most widely used approach to solve coupled partial differential equations in continuum physics.
| Media | Boeken Paperback Book (Boek met zachte kaft en gelijmde rug) |
| Vrijgegeven | 31 juli 2025 |
| ISBN13 | 9783031633645 |
| Uitgevers | Springer International Publishing AG |
| Pagina's | 230 |
| Afmetingen | 150 × 220 × 10 mm · 376 g |
| Taal en grammatica | Duits |
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