Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators: RAMSES -
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Saadetis 17-23 tööpäeva jooksul
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This volume is focused on the review of recent algorithmic and mathematical advances and the development of new research directions for Mathematical Model Approximations via RAMSES (Reduced order models, Approximation theory, Machine learning, Surrogates, Emulators, Simulators) in the setting of parametrized partial differential equations also with sparse and noisy data in high-dimensional parameter spaces. ... Täielik kirjeldus
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Kirjeldus
This volume is focused on the review of recent algorithmic and mathematical advances and the development of new research directions for Mathematical Model Approximations via RAMSES (Reduced order models, Approximation theory, Machine learning, Surrogates, Emulators, Simulators) in the setting of parametrized partial differential equations also with sparse and noisy data in high-dimensional parameter spaces. The book is a valuable resource for researchers, as well as masters and Ph.D students.
Lisateave
| Kirjastaja | Springer Nature Switzerland |
|---|---|
| Series | Lecture Notes in Computational Science and Engineering |
| Väljalaskeaasta | 2024 |
| Kaanetüüp | Kõvakaaneline |
| EAN | 9783031550591 |