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IUTAM Symposium on Model Order Reduction of Coupled Systems, Stuttgart, Germany, May 22-25, 2018: MORCOS 2018: 36 (IUTAM Bookseries, 36) - Tapa dura

Libro 13 de 16: IUTAM Books
 
9783030210120: IUTAM Symposium on Model Order Reduction of Coupled Systems, Stuttgart, Germany, May 22-25, 2018: MORCOS 2018: 36 (IUTAM Bookseries, 36)
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ISBN 10: 303021012X ISBN 13: 9783030210120
Editorial: Springer, 2019

Sinopsis

This volume contains the proceedings of the IUTAM Symposium on Model Order Reduction of Coupled System, held in Stuttgart, Germany, May 22-25, 2018.

For the understanding and development of complex technical systems, such as the human body or mechatronic systems,  an integrated, multiphysics and multidisciplinary view is essential. Many problems can be solved within one physical domain. For the simulation and optimization of the combined system, the different domains are connected with each other. Very often, the combination is only possible by using reduced order models such that the large-scale dynamical system is approximated with a system of much smaller dimension where the most dominant features of the large-scale system are retained as much as possible.

The field of model order reduction (MOR) is interdisciplinary. Researchers from Engineering, Mathematics and Computer Science identify, explore and compare the potentials, challenges and limitations of recent and new advances.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

This volume contains the proceedings of the IUTAM Symposium on Model Order Reduction of Coupled System, held in Stuttgart, Germany, May 22 25, 2018.

For the understanding and development of complex technical systems, such as the human body or mechatronic systems,  an integrated, multiphysics and multidisciplinary view is essential. Many problems can be solved within one physical domain. For the simulation and optimization of the combined system, the different domains are connected with each other. Very often, the combination is only possible by using reduced order models such that the large-scale dynamical system is approximated with a system of much smaller dimension where the most dominant features of the large-scale system are retained as much as possible.

The field of model order reduction (MOR) is interdisciplinary. Researchers from Engineering, Mathematics and Computer Science identify, explore and compare the potentials, challenges and limitations of recent and new advances.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2019
Idioma
Inglés
ISBN 10 
303021012X
ISBN 13 
9783030210120
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
238
Editor
Haasdonk Bernard, Fehr Jörg
Contacto del fabricante
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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