BÜCHER VERSANDKOSTENFREI INNERHALB DEUTSCHLANDS
Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators
RAMSES
Springer
ISBN 978-3-031-55059-1
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Hardcover
2024
3 s/w-Abbildungen, 148 Farbabbildungen.
In englischer Sprache
Umfang: x, 259 S.
Format (B x L): 15,5 x 23,5 cm
Verlag: Springer
ISBN: 978-3-031-55059-1
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
Kundeninformationen
Provides guidelines for the most promising approaches for near-future research Synergistic exchanges between the mathematics and data science communities Latest knowledge and results on emerging topics
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