Proximal minimization based distributed convex optimization.
Kostas MargellosAlessandro FalsoneSimone GarattiMaria PrandiniPublished in: ACC (2016)
Keyphrases
- convex optimization
- norm minimization
- interior point methods
- total variation
- low rank
- primal dual
- regularization term
- convex relaxation
- convex optimization problems
- convex formulation
- operator splitting
- image processing
- alternating direction method of multipliers
- semidefinite program
- convex constraints
- image restoration
- objective function