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Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators
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Reduction, Approximation, Machine Learning, Surrogates, Emulators and SimulatorsНазвание: 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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