Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators
- Ramses
- Indbinding:
- Hardback
- Udgivet:
- 25. juni 2024
- Størrelse:
- 41x224x18 mm.
- Vægt:
- 590 g.
- Ukendt - mangler pt..
Forlænget returret til d. 31. januar 2025
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- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
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Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators
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.
The book is a valuable resource for researchers, as well as masters and Ph.D students.
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