A Low-Rank in Time Approach to PDE-Constrained Optimization.
Martin StollTobias BreitenPublished in: SIAM J. Sci. Comput. (2015)
Keyphrases
- constrained optimization
- low rank
- high order
- partial differential equations
- convex optimization
- missing data
- linear combination
- matrix completion
- matrix factorization
- low rank matrix
- constrained optimization problems
- singular value decomposition
- level set
- rank minimization
- anisotropic diffusion
- semi supervised
- objective function
- unconstrained optimization
- matrix decomposition
- image denoising
- high dimensional data
- minimization problems
- higher order
- augmented lagrangian
- kernel matrix
- trace norm
- image processing
- penalty function
- denoising
- data sets
- nuclear norm
- singular values
- collaborative filtering
- small number