Convergence rates for the heavy-ball continuous dynamics for non-convex optimization, under Polyak-Łojasiewicz condition.
Vassilis ApidopoulosNicolò GinattaSilvia VillaPublished in: J. Glob. Optim. (2022)
Keyphrases
- convex optimization
- convergence rate
- primal dual
- interior point methods
- convergence speed
- learning rate
- low rank
- total variation
- sufficient conditions
- norm minimization
- convex optimization problems
- global convergence
- dynamical systems
- multiscale
- image restoration
- image segmentation
- gradient method
- conjugate gradient
- cost function
- operator splitting