Model Order Reduction and Applications
Springer International Publishing (Verlag)
978-3-031-29562-1 (ISBN)
Consisting of four contributions presented at the CIME summer school, the book presents several points of view and techniques to solve demanding problems of increasing complexity. The focus is on theoretical investigation and applicative algorithm development for reduction in the complexity - the dimension, the degrees of freedom, the data - arising in these models.
The book is addressed to graduate students, young researchers and people interested in the field. It is a good companion for graduate/doctoral classes.- 1. The Reduced Basis Method in Space and Time: Challenges, Limits and Perspectives. - 2. Inverse Problems: A Deterministic Approach Using Physics-Based Reduced Models. - 3. Model Order Reduction for Optimal Control Problems. - 4. Machine Learning Methods for Reduced Order Modeling.
Erscheinungsdatum | 22.06.2023 |
---|---|
Reihe/Serie | C.I.M.E. Foundation Subseries |
Lecture Notes in Mathematics | |
Zusatzinfo | XIV, 230 p. 57 illus., 47 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 464 g |
Themenwelt | Mathematik / Informatik ► Mathematik ► Analysis |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
Schlagworte | Applied mathematics • Dynamic Mode Decomposition • Model order reduction • numerical simulation • optimal control • Partial differential equations • Reduced Order Modelling • Scientific Computing |
ISBN-10 | 3-031-29562-5 / 3031295625 |
ISBN-13 | 978-3-031-29562-1 / 9783031295621 |
Zustand | Neuware |
Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich