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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 | Böcker Pocketbok (Bok med mjukt omslag och limmad rygg) |
| Releasedatum | 31 juli 2025 |
| ISBN13 | 9783031633645 |
| Utgivare | Springer International Publishing AG |
| Antal sidor | 230 |
| Mått | 150 × 220 × 10 mm · 376 g |
| Språk | Tyska |
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