Dynamical low-rank tensor approximations to high-dimensional parabolic problems: existence and convergence of spatial discretizations.
Markus BachmayrHenrik EisenmannAndré UschmajewPublished in: CoRR (2023)
Keyphrases
- low rank
- high dimensional
- matrix completion
- trace norm
- missing data
- high dimensional data
- high order
- convex optimization
- linear combination
- high dimensionality
- matrix factorization
- low rank matrix
- active learning
- low dimensional
- gene expression data
- data mining
- linear programming
- dimensionality reduction
- kernel matrix
- semi supervised
- matrix decomposition