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

Hardcover

ISBN 10: 303021012X ISBN 13: 9783030210120

Publisher: Springer, 2019

Synopsis

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 recentand new advances.

About this title

From the Back Cover

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 recentand new advances.

Edition details

• Publisher: Springer
• Publication date: 2019
• Language: English
• ISBN 10: 303021012X
• ISBN 13: 9783030210120
• Binding: Hardcover
• Edition number: 1
• Number of pages: 236
• Editor: Fehr Jörg, Haasdonk Bernard