Numerical low-rank approximation of matrix differential equations.
Hermann MenaAlexander OstermannLena-Maria PfurtschellerChiara PiazzolaPublished in: J. Comput. Appl. Math. (2018)
Keyphrases
- differential equations
- low rank approximation
- numerical methods
- singular value decomposition
- low rank matrix approximation
- low rank
- runge kutta
- dynamical systems
- subspace learning
- spectral clustering
- kernel matrix
- adjacency matrix
- iterative algorithms
- data dependent
- singular values
- nonnegative matrix factorization
- partial differential equations
- missing data
- linear combination
- matrix factorization
- dimensionality reduction
- convex optimization
- latent semantic indexing
- reconstruction error
- high order
- least squares
- face recognition
- directed graph
- image quality
- semi supervised
- pairwise
- feature space
- reinforcement learning