On the Convergence of a Regularized Jacobi Algorithm for Convex Optimization.
Goran BanjacKostas MargellosPaul J. GoulartPublished in: IEEE Trans. Autom. Control. (2018)
Keyphrases
- convex optimization
- learning algorithm
- dynamic programming
- optimal solution
- augmented lagrangian
- cost function
- convergence rate
- dual formulation
- norm minimization
- iterative algorithms
- primal dual
- np hard
- objective function
- computational complexity
- globally optimal
- pairwise
- linear transformation
- interior point methods
- global convergence
- multiscale
- image sequences