Model Order Reduction and Applications: Cetraro, Italy 2021: Lecture Notes in Mathematics, cartea 2328
Autor Michael Hinze, J. Nathan Kutz, Olga Mula, Karsten Urban Editat de Maurizio Falcone, Gianluigi Rozzaen Limba Engleză Paperback – 21 iun 2023
The book is addressed to graduate students, young researchers and people interested in the field. It is a good companion for graduate/doctoral classes.
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Specificații
ISBN-13: 9783031295621
ISBN-10: 3031295625
Pagini: 230
Ilustrații: XIV, 230 p. 57 illus., 47 illus. in color.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.23 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seriile Lecture Notes in Mathematics, C.I.M.E. Foundation Subseries
Locul publicării:Cham, Switzerland
ISBN-10: 3031295625
Pagini: 230
Ilustrații: XIV, 230 p. 57 illus., 47 illus. in color.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.23 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seriile Lecture Notes in Mathematics, C.I.M.E. Foundation Subseries
Locul publicării:Cham, Switzerland
Cuprins
- 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.
Textul de pe ultima copertă
This book addresses the state of the art of reduced order methods for modelling and computational reduction of complex parametrised systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in various fields.
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.
The book is addressed to graduate students, young researchers and people interested in the field. It is a good companion for graduate/doctoral classes.
Caracteristici
Written by internationally recognised experts in model order reduction and related areas Presents a fresh, very original and balanced selection of modern topics Features self-contained contributions, ideal for newcomers to the field