Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators
RAMSES
Springer Nature Switzerland
ISBN 978-3-031-55060-7
Standardpreis
Bibliografische Daten
eBook. PDF
2024
X, 259 p. 151 illus., 148 illus. in color..
In englischer Sprache
Umfang: 259 S.
Verlag: Springer Nature Switzerland
ISBN: 978-3-031-55060-7
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Lecture Notes in Computational Science and Engineering
Produktbeschreibung
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.
Autorinnen und Autoren
Produktsicherheit
Hersteller
Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg, DE
ProductSafety@springernature.com
BÜCHER VERSANDKOSTENFREI INNERHALB DEUTSCHLANDS

