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

RAMSES

Language EnglishEnglish
E-book Adobe ePub DRM
Publishers Springer, June 2024
This volume is focused on the review of recent algorithmic and mathematical advances and the develop... Full description
? points 388 b
56 668 Ft
In stock Immediate digital delivery

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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.

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About the book

Full name Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators
Author Gianluigi Rozza, Giovanni Stabile, Max Gunzburger, Marta D'Elia
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2024
EAN 9783031550607
Libristo code 47696446
Publishers Springer

Categories

Mathematics & Science > Mathematics > Calculus & mathematical analysis > Numerical analysis
Computing & Information Technology > Computer science > Artificial intelligence > Machine learning
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