Reduction, Approximation, Machine Learning, Surrogates, Emulators and SimulatorsКНИГИ » ТЕХНИЧЕСКИЕ НАУКИ
Название: Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators (RAMSES) Автор: Gianluigi Rozza, Giovanni Stabile, Max Gunzburger, Marta D'Elia Издательство: Springer Год выхода: 2024 Страниц: 265 Формат: True PDF Размер: 17,5 MB Язык: английский
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.
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Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators 
Название: Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators (RAMSES)