Cantitate/Preț
Produs

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 Rozza
en Limba Engleză Paperback – 21 iun 2023
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.
Citește tot Restrânge

Din seria Lecture Notes in Mathematics

Preț: 36042 lei

Preț vechi: 43425 lei
-17% Nou

Puncte Express: 541

Preț estimativ în valută:
6898 7190$ 5743£

Carte disponibilă

Livrare economică 16-30 decembrie
Livrare express 29 noiembrie-05 decembrie pentru 2262 lei

Preluare comenzi: 021 569.72.76

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

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.

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