Asymptotic-preserving and energy stable dynamical low-rank approximation.
Lukas EinkemmerJingwei HuJonas KuschPublished in: CoRR (2022)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- subspace learning
- low rank
- iterative algorithms
- data dependent
- kernel matrix
- spectral clustering
- latent semantic indexing
- reconstruction error
- nonnegative matrix factorization
- worst case
- least squares
- manifold learning
- pairwise
- data clustering
- linear combination
- adjacency matrix
- matrix completion