Tensorized low-rank circulant preconditioners for multilevel Toeplitz linear systems from high-dimensional fractional Riesz equations.
Lei ZhangGuo-Feng ZhangZhao-Zheng LiangPublished in: Comput. Math. Appl. (2022)
Keyphrases
- linear systems
- low rank
- high dimensional
- high dimensional data
- least squares
- singular value decomposition
- linear equations
- low dimensional
- sufficient conditions
- missing data
- linear combination
- dimensionality reduction
- fourier transform
- convex optimization
- matrix factorization
- dynamical systems
- data points
- low rank matrix
- kernel matrix
- nearest neighbor
- rank minimization
- semi supervised
- coefficient matrix
- iterative methods
- high order
- data analysis
- semidefinite programming
- pid controller
- preconditioned conjugate gradient method
- frequency domain
- principal component analysis
- feature space
- neural network
- sparse coding
- basis functions
- sparse representation
- image restoration
- small number
- interior point methods
- active learning
- pairwise
- data sets