Model Order Reduction for Linear and Nonlinear Systems: A System-Theoretic Perspective

@article{Baur2014ModelOR,
title={Model Order Reduction for Linear and Nonlinear Systems: A System-Theoretic Perspective},
author={Ulrike Baur and Peter Benner and Lihong Feng},
journal={Archives of Computational Methods in Engineering},
year={2014},
volume={21},
pages={331-358}
}
• Published 20 August 2014
• Computer Science
• Archives of Computational Methods in Engineering
In the past decades, Model Order Reduction (MOR) has demonstrated its robustness and wide applicability for simulating large-scale mathematical models in engineering and the sciences. [] Key Result Besides reviewing existing methods and the computational techniques needed to implement them, open issues are discussed, and some new results are proposed.
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