Dynamical low-rank approximation for Burgers' equation with uncertainty.
Jonas KuschGianluca CerutiLukas EinkemmerMartin FrankPublished in: CoRR (2021)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- data dependent
- low rank
- kernel matrix
- subspace learning
- spectral clustering
- machine learning
- linear combination
- random walk
- text retrieval
- data sets
- training data
- latent semantic indexing
- adjacency matrix
- similarity measure
- matrix completion