Sequential optimality conditions for nonlinear optimization on Riemannian manifolds and a globally convergent augmented Lagrangian method.
Yuya YamakawaHiroyuki SatoPublished in: Comput. Optim. Appl. (2022)
Keyphrases
- optimality conditions
- nonlinear programming
- variational inequalities
- augmented lagrangian
- global convergence
- euclidean space
- convex optimization
- constrained optimization problems
- total variation
- constrained optimization
- optimization problems
- linear programming problems
- convergence rate
- image denoising
- primal dual
- convex sets
- global optimum
- convergence speed
- optimization methods
- image restoration
- machine learning