Low-rank approximation of continuous functions in Sobolev spaces with dominating mixed smoothness.
Michael GriebelHelmut HarbrechtReinhold SchneiderPublished in: CoRR (2022)
Keyphrases
- continuous functions
- low rank approximation
- singular value decomposition
- real valued
- differential equations
- low rank
- subspace learning
- kernel matrix
- iterative algorithms
- spectral clustering
- endpoints
- adjacency matrix
- activation function
- pairwise
- objective function
- small number
- neural network
- convex optimization
- dynamical systems
- dimensionality reduction
- principal component analysis
- image segmentation
- least squares
- image processing