Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators
Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators
Buch
- RAMSES
- Herausgeber: Gianluigi Rozza, Marta D'Elia, Max Gunzburger, Giovanni Stabile
- Springer Nature Switzerland, 06/2024
- Einband: Gebunden, HC runder Rücken kaschiert
- Sprache: Englisch
- ISBN-13: 9783031550591
- Bestellnummer: 11903884
- Umfang: 272 Seiten
- Auflage: 2024
- Gewicht: 626 g
- Maße: 241 x 160 mm
- Stärke: 20 mm
- Erscheinungstermin: 25.6.2024
- Serie: Lecture Notes in Computational Science and Engineering - Band 151
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
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.
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