Gianluigi Rozza,
Giovanni Stabile,
Max Gunzburger,
Marta D'Elia
e.a.
Springer Nature Switzerland
e druk, 2025
9783031550621
Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators
RAMSES
Specificaties
Paperback, blz.
|
Engels
Springer Nature Switzerland |
e druk, 2025
ISBN13: 9783031550621
Rubricering
Onderdeel van serie
Lecture Notes in Computational Science and Engineering
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9783031550621
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Switzerland
Inhoudsopgave
Shafqat Ali, Francesco Ballarin and Gianluigi Rozza: An online stabilization method for parametrized viscous flows.- Margarita Chasapi, Pablo Antolin, Annalisa Buffa: Reduced order modelling of nonaffine problems on parameterized NURBS multipatch geometries.- Anton Dereventsov, Joseph Daws, Jr., and Clayton G. Webster: Offline Policy Comparison under Limited Historical Agent-Environment Interactions.- Julien Genovese, Francesco Ballarin, Gianluigi Rozza and Claudio Canuto: Weighted reduced order methods for uncertainty quantification in computational fluid dynamics.