On the Convergence of Alternating Minimization for Convex Programming with Applications to Iteratively Reweighted Least Squares and Decomposition Schemes.
Amir BeckPublished in: SIAM J. Optim. (2015)
Keyphrases
- reweighted least squares
- convex programming
- alternating minimization
- convex optimization
- total variation
- spatially varying
- interior point methods
- linear programming
- compressive sensing
- kullback leibler divergence
- primal dual
- image restoration
- denoising
- convergence rate
- point spread function
- map estimation
- kernel learning
- convex functions
- objective function
- image denoising
- semidefinite programming
- multiscale
- regularization parameter
- computational complexity
- linear program