The Proximal Alternating Minimization Algorithm for Two-Block Separable Convex Optimization Problems with Linear Constraints.
Sandy BitterlichRadu Ioan BotErnö Robert CsetnekGert WankaPublished in: J. Optim. Theory Appl. (2019)
Keyphrases
- linear constraints
- convex optimization problems
- convex optimization
- alternating minimization algorithm
- total variation minimization
- convex sets
- total variation
- optimization problems
- alternating minimization
- image restoration
- learning problems
- interior point methods
- primal dual
- objective function
- machine learning
- linear program
- image denoising
- cross validation
- machine learning algorithms
- cost function
- high quality
- computer vision