A Proximal Augmented Lagrangian Method for Linearly Constrained Nonconvex Composite Optimization Problems.
Jefferson G. MeloRenato D. C. MonteiroHairong WangPublished in: J. Optim. Theory Appl. (2024)
Keyphrases
- optimization problems
- linearly constrained
- augmented lagrangian method
- augmented lagrangian
- constrained optimization problems
- convex optimization
- linear constraints
- variational inequalities
- nonlinear programming
- primal dual
- evolutionary algorithm
- total variation
- total variation regularization
- objective function
- optimization methods
- metaheuristic
- global convergence
- knapsack problem
- constrained minimization
- cost function
- traveling salesman problem
- linear programming
- convex sets
- combinatorial optimization
- image denoising
- image deblurring
- denoising
- locally adaptive
- genetic algorithm
- image restoration
- regularization term
- approximation algorithms
- lp relaxation
- multiresolution
- linear programming problems
- linear program
- simulated annealing
- pairwise
- wavelet transform