Proximal quasi-Newton methods for nondifferentiable convex optimization.
Xiaojun ChenMasao FukushimaPublished in: Math. Program. (1999)
Keyphrases
- convex optimization
- interior point methods
- total variation
- low rank
- convex programming
- norm minimization
- convex optimization problems
- convex formulation
- semidefinite program
- convex relaxation
- operator splitting
- primal dual
- image restoration
- augmented lagrangian
- image classification
- object recognition
- computer vision