Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators Ramses |
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| Editor:
| Rozza, Gianluigi
Stabile, Giovanni
Gunzburger, Max
D'Elia, Marta |
| Series title: | Lecture Notes in Computational Science and Engineering Ser. |
| ISBN: | 978-3-031-55059-1 |
| Publication Date: | Jun 2024 |
| Publisher: | Springer
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| Book Format: | Hardback |
| List Price: | USD $139.99 |
Book Description:
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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.
The book is a valuable resource for researchers, as well as masters...
More Description
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.