UID:
almahu_9949773124002882
Format:
X, 259 p. 151 illus., 148 illus. in color.
,
online resource.
Edition:
1st ed. 2024.
ISBN:
9783031550607
Series Statement:
Lecture Notes in Computational Science and Engineering, 151
Content:
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.
Note:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031550591
Additional Edition:
Printed edition: ISBN 9783031550614
Additional Edition:
Printed edition: ISBN 9783031550621
Language:
English
DOI:
10.1007/978-3-031-55060-7
URL:
https://doi.org/10.1007/978-3-031-55060-7
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