Convergence rates for critical point regularization.
Daniel ObmannMarkus HaltmeierPublished in: Appl. Math. Comput. (2024)
Keyphrases
- convergence rate
- critical points
- scale space
- vector field
- convergence speed
- learning rate
- gaussian kernels
- deep structure
- primal dual
- global convergence
- reproducing kernel hilbert space
- numerical stability
- regularization parameter
- stopping criterion
- feature points
- data dependent
- number of iterations required
- approximation algorithms
- multiscale