Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators
RAMSES
Series: Lecture Notes in Computational Science and Engineering; 151;
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Product details:
- Edition number 2024
- Publisher Springer Nature Switzerland
- Date of Publication 25 June 2024
- Number of Volumes 1 pieces, Book
- ISBN 9783031550591
- Binding Hardback
- No. of pages259 pages
- Size 235x155 mm
- Language English
- Illustrations X, 259 p. 151 illus., 148 illus. in color. Illustrations, black & white 573
Categories
Long description:
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.
MoreTable of Contents:
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.
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