A parameterized proximal point algorithm for separable convex optimization.
Jianchao BaiHongchao ZhangJicheng LiPublished in: Optim. Lett. (2018)
Keyphrases
- convex optimization
- basis pursuit
- proximal point algorithm
- total variation
- interior point methods
- low rank
- primal dual
- denoising
- convex optimization problems
- convex relaxation
- semidefinite program
- machine learning
- alternating direction method of multipliers
- operator splitting
- norm minimization
- convex formulation
- image denoising
- image quality
- high quality