Low rank tensor approximation of singularly perturbed partial differential equations in one dimension.
Carlo MarcatiMaxim V. RakhubaJohan E. M. UlanderPublished in: CoRR (2020)
Keyphrases
- partial differential equations
- low rank
- high order
- frobenius norm
- trace norm
- matrix decomposition
- tensor decomposition
- matrix completion
- anisotropic diffusion
- numerical solution
- low rank matrix
- higher order
- low rank approximation
- image denoising
- kernel matrix
- missing data
- convex optimization
- linear combination
- matrix factorization
- rank minimization
- level set
- image processing
- singular value decomposition
- energy functional
- semi supervised
- image enhancement
- curve evolution
- high dimensional data
- data matrix
- multiscale
- pairwise
- denoising
- markov random field
- singular values
- original data
- edge detection