Convergence of a relaxed inertial proximal algorithm for maximally monotone operators.
Hédy AttouchAlexandre CabotPublished in: Math. Program. (2020)
Keyphrases
- learning algorithm
- computational complexity
- improved algorithm
- optimal solution
- preprocessing
- high accuracy
- dynamic programming
- experimental evaluation
- convergence rate
- k means
- objective function
- computational cost
- worst case
- np hard
- neural network
- matching algorithm
- computationally efficient
- rapid convergence
- clustering method
- optimization algorithm
- recognition algorithm
- segmentation algorithm
- uniform distribution
- stochastic approximation
- convergence property
- expectation maximization
- convergence proof
- convergence theorem