Matrix Optimization Over Low-Rank Spectral Sets: Stationary Points and Local and Global Minimizers.
Xinrong LiNaihua XiuShenglong ZhouPublished in: J. Optim. Theory Appl. (2020)
Keyphrases
- low rank
- stationary points
- linear combination
- convex optimization
- low rank matrix
- matrix factorization
- singular value decomposition
- rank minimization
- constrained optimization
- missing data
- nonlinear programming
- matrix completion
- trace norm
- high dimensional data
- kernel matrix
- semi supervised
- high order
- mathematical programming
- optimization algorithm
- optimization problems
- convex sets
- objective function
- optimization method
- norm minimization
- optimization methods
- global convergence
- semidefinite programming
- spectral clustering