Dynamically Orthogonal Runge-Kutta Schemes with Perturbative Retractions for the Dynamical Low-Rank Approximation.
Aaron CharousPierre F. J. LermusiauxPublished in: SIAM J. Sci. Comput. (2023)
Keyphrases
- low rank approximation
- runge kutta
- singular value decomposition
- iterative algorithms
- differential equations
- spectral clustering
- subspace learning
- low rank
- kernel matrix
- pattern recognition
- latent semantic indexing
- pairwise
- nonnegative matrix factorization
- numerical methods
- data dependent
- dimensionality reduction
- adjacency matrix
- image segmentation