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商品詳細
Reduction, Approximation, Machine learning, Surrogates, Emulators and Simulators : RAMSES. 1st ed. 2024.
・ISBN 978-3-031-55059-1 hard EUR 129.99
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| 著者・編者 | Rozza, Gianluigi / Stabile, Giovanni / Gunzburger, Max / D'Elia, Marta (eds.), |
|---|---|
| シリーズ | Lecture Notes in Computational Science and Engineering |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2024 |
| ページ数 | 259 pp. |
| 言語 | ENG |
| ニュース番号 | <M25-1143> |
解説
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.