On the noise amplification of primal-dual gradient flow dynamics based on proximal augmented Lagrangian.
Hesameddin MohammadiMihailo R. JovanovicPublished in: ACC (2022)
Keyphrases
- primal dual
- augmented lagrangian
- linear programming problems
- convex optimization
- duality gap
- linear programming
- linear program
- interior point methods
- convergence rate
- approximation algorithms
- semidefinite programming
- total variation
- constrained optimization problems
- constrained optimization
- augmented lagrangian method
- noise level
- image denoising
- column generation
- simplex method
- active contour model
- mixed integer
- lagrange multipliers
- missing data
- evolutionary algorithm
- image processing
- energy functional
- regularization term
- differential evolution
- loss function
- high quality