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

Gianluigi Rozza Giovanni Stabile Max Gunzburger Marta D'Elia

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  • 266 sidor
  • 2024
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: Inbunden
  • ISBN: 9783031550591
  • Språk: Engelska
  • Antal sidor: 266
  • Utgivningsdatum: 2024-06-13
  • Förlag: Springer International Publishing AG