On the convergence and sampling of randomized primal-dual algorithms and their application to parallel MRI reconstruction.
Eric B. GutiérrezClaire DelplanckeMatthias J. EhrhardtPublished in: CoRR (2022)
Keyphrases
- primal dual
- convergence rate
- interior point
- simplex algorithm
- linear programming
- learning algorithm
- optimization problems
- special case
- linear program
- global convergence
- magnetic resonance imaging
- step size
- linear programming problems
- interior point methods
- iterative algorithms
- semidefinite programming
- approximation algorithms
- convex optimization
- multi objective
- multiresolution