On the Convergence Rate of Projected Gradient Descent for a Back-Projection based Objective.
Tom TirerRaja GiryesPublished in: CoRR (2020)
Keyphrases
- convergence rate
- conjugate gradient
- convergence speed
- learning rate
- step size
- global convergence
- primal dual
- cost function
- gradient method
- mutation operator
- faster convergence rate
- special case
- neural network
- particle swarm optimization algorithm
- loss function
- computationally efficient
- wavelet neural network
- optimal solution
- gravitational search algorithm