RAMSES Rozza, Gianluigi. editor. edt http://id.loc.gov/vocabulary/relators/edt Stabile, Giovanni. editor. edt http://id.loc.gov/vocabulary/relators/edt Gunzburger, Max. editor. edt http://id.loc.gov/vocabulary/relators/edt D'Elia, Marta. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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electronic resource

access X, 259 p. 151 illus., 148 illus. in color. online resource. 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. 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. edited by Gianluigi Rozza, Giovanni Stabile, Max Gunzburger, Marta D'Elia. Numerical analysis Machine learning Numerical Analysis Machine Learning QA297-299.4 9783031550607 https://doi.org/10.1007/978-3-031-55060-7 https://doi.org/10.1007/978-3-031-55060-7 240624 20251030112328.0 978-3-031-55060-7