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IUTAM Symposium on Model Order Reduction of Coupled Systems, Stuttgart, Germany, May 22–25, 2018

MORCOS 2018

  • Jörg Fehr
  • Bernard Haasdonk
Conference proceedings

Part of the IUTAM Bookseries book series (IUTAMBOOK, volume 36)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Hermann G. Matthies, Roger Ohayon
    Pages 25-39
  3. Ion Victor Gosea, Igor Pontes Duff, Peter Benner, Athanasios C. Antoulas
    Pages 41-53
  4. Soledad Le Clainche, José M. Vega
    Pages 55-66
  5. Maria-Luisa Rapún, Filippo Terragni, José M. Vega
    Pages 81-93
  6. Ashish Bhatt, Jörg Fehr, Dennis Grunert, Bernard Haasdonk
    Pages 95-110
  7. Efthymios N. Karatzas, Giovanni Stabile, Nabil Atallah, Guglielmo Scovazzi, Gianluigi Rozza
    Pages 111-125
  8. Jonas Siegfried Jehle, Luca Mechelli, Stefan Volkwein
    Pages 127-139
  9. Benjamin Fröhlich, Florian Geiger, Jan Gade, Manfred Bischoff, Peter Eberhard
    Pages 151-163
  10. Jie Yuan, Loic Salles, Chian Wong, Sophoclis Patsias
    Pages 165-176
  11. Nehzat Emamy, Pascal Litty, Thomas Klotz, Miriam Mehl, Oliver Röhrle
    Pages 177-190
  12. Nicodemus Banagaaya, Sara Grundel, Peter Benner
    Pages 191-207
  13. Back Matter
    Pages 221-222

About these proceedings

Introduction

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.

Keywords

reduced bases interface reduction surrogate modelling tensor-based techniques complex systems input-output behaviour mechatronic systems parametrized PDEs IUTAM

Editors and affiliations

  • Jörg Fehr
    • 1
  • Bernard Haasdonk
    • 2
  1. 1.Institute of Engineering and Computational MechanicsUniversity of StuttgartStuttgartGermany
  2. 2.Institute of Applied Analysis and Numerical SimulationUniversity of StuttgartStuttgartGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-21013-7
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-21012-0
  • Online ISBN 978-3-030-21013-7
  • Series Print ISSN 1875-3507
  • Series Online ISSN 1875-3493
  • Buy this book on publisher's site
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