Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators 1

Data & IT

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

Gianluigi Rozza • Giovanni Stabile • Max Gunzburger • Marta D'Elia

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259 sidor
2025

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.

Författare: Gianluigi Rozza, Giovanni Stabile, Max Gunzburger, Marta D'Elia
Format: Pocket/Paperback
ISBN: 9783031550621
Språk: Engelska
Antal sidor: 259
Utgivningsdatum: 2025-06-25
Förlag: Springer International Publishing AG