Linear Convergence of the Alternating Direction Method of Multipliers for a Class of Convex Optimization Problems.
Wei Hong YangDeren HanPublished in: SIAM J. Numer. Anal. (2016)
Keyphrases
- convex optimization problems
- convex optimization
- alternating direction method of multipliers
- primal dual
- interior point methods
- optimization problems
- low rank
- learning problems
- total variation
- image processing
- convergence rate
- low rank matrix
- decision trees
- computer vision
- semi supervised learning
- linear programming
- semidefinite programming
- object recognition
- support vector
- feature selection