Subgradient Sampling for Nonsmooth Nonconvex Minimization.
Jérôme BolteTam LeEdouard PauwelsPublished in: SIAM J. Optim. (2023)
Keyphrases
- image restoration and reconstruction
- convex functions
- convex optimization
- markov random field
- alternating direction method of multipliers
- convex minimization
- regularization term
- objective function
- data fidelity term
- random sampling
- norm minimization
- subgradient method
- globally convergent
- stochastic optimization
- sampling strategy
- total variation
- sample size
- variational inequalities
- cutting plane
- sampling algorithm
- nonlinear programming
- optimization methods
- monte carlo
- simulated annealing
- cost function