Convergence of a generalized subgradient method for nondifferentiable convex optimization.
Sehun KimHyunsil AhnPublished in: Math. Program. (1991)
Keyphrases
- convex optimization
- subgradient method
- operator splitting
- total variation
- interior point methods
- convex optimization problems
- optimization problems
- low rank
- primal dual
- convex relaxation
- convex programming
- multiscale
- lagrangian relaxation
- convex sets
- denoising
- augmented lagrangian
- dual formulation
- convergence rate
- evolutionary algorithm
- image denoising
- dynamic programming
- special case