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Minimal subspace rotation on the Stiefel manifold for stabilization and enhancement of projection-based reduced order models for the compressible Navier-Stokes equations.

Maciej BalajewiczIrina TezaurEarl H. Dowell
Published in: J. Comput. Phys. (2016)
Keyphrases
  • reduced order
  • euclidean space
  • low dimensional
  • high dimensional
  • computationally efficient
  • feature extraction
  • state space
  • principal component analysis
  • manifold learning
  • kalman filtering