Efficient preconditioners for solving dynamical optimal transport via interior point methods.
Enrico FaccaGabriele TodeschiAndrea NataleMichele BenziPublished in: CoRR (2022)
Keyphrases
- interior point methods
- convex programming
- solving problems
- quadratic programming
- preconditioned conjugate gradient method
- linear programming problems
- primal dual
- machine learning
- convex optimization
- computationally intensive
- image restoration
- linear programming
- linear program
- semidefinite programming
- worst case
- optimal solution
- closed form
- denoising
- semi supervised
- interior point