Uncertainty quantification for complex systems with very high dimensional response using Grassmann manifold variations.
Dimitris G. GiovanisMichael D. ShieldsPublished in: J. Comput. Phys. (2018)
Keyphrases
- complex systems
- high dimensional
- grassmann manifold
- dynamic systems
- stochastic gradient
- component analysis
- dimensionality reduction
- subspace learning
- data points
- nearest neighbor
- multi agent systems
- parameter space
- image set
- feature space
- low dimensional
- biological systems
- physical systems
- technical systems
- steady state simulation
- nearest neighbor classifier
- sparse coding
- pairwise
- multi agent
- machine learning
- data sets