Model Order Reduction and Applications: Cetraro, Italy 2021 (Lecture Notes in Mathematics, 2328, Band 2328) - Softcover

Hinze, Michael; Kutz, J. Nathan; Mula, Olga; Urban, Karsten

 
9783031295621: Model Order Reduction and Applications: Cetraro, Italy 2021 (Lecture Notes in Mathematics, 2328, Band 2328)

Inhaltsangabe

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.

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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.

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9783031295645: Model Order Reduction and Applications: Cetraro, Italy 2021

Vorgestellte Ausgabe

ISBN 10:  3031295641 ISBN 13:  9783031295645
Verlag: Springer, 2023
Softcover