Low-rank update of preconditioners for the nonlinear Richards equation.
Luca BergamaschiRafael BruAngeles MartinezJosé MasMario PuttiPublished in: Math. Comput. Model. (2013)
Keyphrases
- low rank
- sparse linear
- high order
- missing data
- linear combination
- linear systems
- matrix factorization
- convex optimization
- low rank matrix
- matrix completion
- rank minimization
- semi supervised
- singular value decomposition
- kernel matrix
- matrix decomposition
- minimization problems
- high dimensional data
- bundle adjustment
- collaborative filtering
- low rank matrices
- trace norm
- image restoration
- machine learning
- robust principal component analysis
- nonlinear optimization
- non rigid structure from motion
- denoising
- active learning
- pattern recognition