A Decomposition Augmented Lagrangian Method for Low-Rank Semidefinite Programming.
Yifei WangKangkang DengHaoyang LiuZaiwen WenPublished in: SIAM J. Optim. (2023)
Keyphrases
- low rank
- semidefinite programming
- kernel matrix
- convex optimization
- primal dual
- augmented lagrangian
- interior point methods
- missing data
- total variation
- linear combination
- singular value decomposition
- matrix factorization
- semi supervised
- high dimensional data
- linear programming
- high order
- data sets
- constrained optimization
- linear programming problems
- small number
- wavelet transform
- image processing