03442nam a22005535i 4500 978-3-031-55060-7 DE-He213 20251030112328.0 cr nn 008mamaa 240624s2024 sz | s |||| 0|eng d 9783031550607 978-3-031-55060-7 10.1007/978-3-031-55060-7 doi QA297-299.4 PBKS bicssc MAT041000 bisacsh PBKS thema Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators [electronic resource] : RAMSES / edited by Gianluigi Rozza, Giovanni Stabile, Max Gunzburger, Marta D'Elia. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 259 p. 151 illus., 148 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Computational Science and Engineering, 2197-7100 ; 151 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. 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. Numerical analysis. Machine learning. 55059 Numerical Analysis. Machine Learning. 55059 Rozza, Gianluigi. editor. (orcid)0000-0002-0810-8812 https://orcid.org/0000-0002-0810-8812 edt http://id.loc.gov/vocabulary/relators/edt 77267 Stabile, Giovanni. editor. edt http://id.loc.gov/vocabulary/relators/edt 79204 Gunzburger, Max. editor. edt http://id.loc.gov/vocabulary/relators/edt 79205 D'Elia, Marta. editor. edt http://id.loc.gov/vocabulary/relators/edt 79206 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031550591 Printed edition: 9783031550614 Printed edition: 9783031550621 Lecture Notes in Computational Science and Engineering, 2197-7100 ; 151 69968 https://doi.org/10.1007/978-3-031-55060-7 ZDB-2-SMA ZDB-2-SXMS 60966 60966