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Difference between revisions of "Selected Introductory Works"

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* M. Ohlberger and B. Haasdonk. "<span class="plainlinks">[https://www.gamm-ev.de/images/publikationen/pdf/RB_2014_01_weba.pdf#page=6 Wenn die Probleme zahlreicher werden: Reduzierte Basis Methoden für effiziente und gesicherte numerische Simulation]</span>", GAMM Rundbrief 2014(1): 6--13, 2014.
 
* M. Ohlberger and B. Haasdonk. "<span class="plainlinks">[https://www.gamm-ev.de/images/publikationen/pdf/RB_2014_01_weba.pdf#page=6 Wenn die Probleme zahlreicher werden: Reduzierte Basis Methoden für effiziente und gesicherte numerische Simulation]</span>", GAMM Rundbrief 2014(1): 6--13, 2014.
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* R. Brueckner. "<span class="plainlinks">[https://insidehpc.com/2020/01/predictive-data-science-for-physical-systems-from-model-reduction-to-scientific-machine-learning/ Predictive Data Science for Physical Systems: From Model Reduction to Scientific Machine Learning]</span>", Inside HPC, 2020.

Revision as of 13:07, 27 March 2020


Following is a list of selected works introducing the field of model order reduction. A comprehensive list of journal articles, conference proceedings, collection chapters, and PhD theses can be found on the Publications page.


Books

Surveys

Lectures

  • M. Hinze "Proper Orthogonal Decomposition - mathematics and practical aspects". LMS - EPSRC Durham Symposium on Model Order Reduction, 2017. (slides: part 1, part 2, part 3; video: part 1, part 2, part 3)
  • B. Haasdonk. "Reduced Basis Methods for Parametrized Partial Differential Equations". LMS - EPSRC Durham Symposium on Model Order Reduction, 2017. (slides: part 1, part 2, part 3; video: part 1, part 2, part 3)
  • T. Stykel. "Balanced truncation model reduction". LMS - EPSRC Durham Symposium on Model Order Reduction, 2017. (slides: part 1, part 2, part 3)
  • S. Gugercin, C. Beattie, and A. C. Antoulas. "Model Reduction via Interpolation". LMS - EPSRC Durham Symposium on Model Order Reduction, 2017. (slides: part 1, part 2; video part 1, part 2, part 3)
  • T. Damm. "Model order reduction for stochastic systems". LMS - EPSRC Durham Symposium on Model Order Reduction, 2017. (slides: part 1, part 2, part 3; video: part 1, part 2, part 3)
  • P. Benner. "Parameter-preserving model order reduction of dynamical systems". LMS - EPSRC Durham Symposium on Model Order Reduction, 2017. (slides: part 1, part 2, part 3; video: part 1, part 2, part 3)
  • C. Beattie, P. Benner, S. Gugercin "An Introduction to System-theoretic Methods for Model Reduction". ICERM - Model and dimension reduction in uncertain and dynamic systems, 2020. (videos:

part 1A, part 1B, part 1C, part 2A, part 2B, part 3A, part 3B, part 4, part 5)

News