A dual-primal balanced augmented Lagrangian method for linearly constrained convex programming.
Shengjie XuPublished in: J. Appl. Math. Comput. (2023)
Keyphrases
- primal dual
- convex programming
- linearly constrained
- variational inequalities
- convex optimization
- augmented lagrangian
- interior point methods
- linear programming
- linear program
- total variation
- semidefinite programming
- low rank
- convergence rate
- approximation algorithms
- convex sets
- convex functions
- linear constraints
- denoising
- feature vectors
- objective function
- image processing
- np hard
- optimal solution
- constrained minimization