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Rozza G Reduction, Approximation, Machine Learning, Simulators (RAMSES) 2024 | 15.56 MB
265 Pages
Title: Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators
Author: Gianluigi Rozza · Giovanni Stabile · Max Gunzburger · Marta D'Elia
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.
DOWNLOAD:
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.
DOWNLOAD:
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Code:
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