Model Reduction for Large Scale Systems

  title={Model Reduction for Large Scale Systems},
  author={Tim Keil and Mario Ohlberger},
Projection based model order reduction has become a mature technique for simulation of large classes of parameterized systems. However, several challenges remain for problems where the solution manifold of the parameterized system cannot be well approximated by linear subspaces. While the online efficiency of these model reduction methods is very convincing for problems with a rapid decay of the Kolmogorov n-width, there are still major drawbacks and limitations. Most importantly, the… 
1 Citations

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