Schur complement-based domain decomposition preconditioners with low-rank corrections.
Ruipeng LiYuanzhe XiYousef SaadPublished in: Numer. Linear Algebra Appl. (2016)
Keyphrases
- low rank
- missing data
- linear combination
- matrix completion
- singular value decomposition
- low rank matrix
- rank minimization
- matrix factorization
- convex optimization
- tensor decomposition
- high order
- semi supervised
- singular values
- kernel matrix
- robust principal component analysis
- trace norm
- high dimensional data
- minimization problems
- image restoration
- matrix decomposition
- low rank matrices
- interior point methods
- principal component analysis
- incomplete data
- missing values
- input image
- pattern recognition
- binary matrix
- image sequences