A decentralized prediction-correction method for networked time-varying convex optimization.
Andrea SimonettoAryan MokhtariAlec KoppelGeert LeusAlejandro RibeiroPublished in: CAMSAP (2015)
Keyphrases
- convex optimization
- interior point methods
- low rank
- convex optimization problems
- total variation
- norm minimization
- convex relaxation
- primal dual
- image processing
- semidefinite program
- convex formulation
- convex constraints
- alternating direction method of multipliers
- operator splitting
- image quality
- level set
- motion estimation
- basis pursuit
- machine learning