Iutam Symposium on Model Order Reduction of Coupled Systems, Stuttgart, Germany, May 22–25, 2018: Morcos 2018: 36 - Rilegato

Rilegato

ISBN 10: 303021012X ISBN 13: 9783030210120

Casa editrice: Springer Nature, 2019

Riassunto

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.

Su questo libro

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 303021012X
• ISBN 13: 9783030210120
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 236
• Redattore: Fehr Jrg, Haasdonk Bernard
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Germania