Several accelerated subspace minimization conjugate gradient methods based on regularization model and convergence rate analysis for nonconvex problems.
Wumei SunHongwei LiuZexian LiuPublished in: Numer. Algorithms (2022)
Keyphrases
- convergence rate
- conjugate gradient
- conjugate gradient algorithm
- gradient method
- gauss seidel method
- objective function
- image restoration and reconstruction
- maximum likelihood estimation
- step size
- cost function
- probabilistic model
- line search
- convergence speed
- optimization problems
- parameter estimation
- support vector
- convex optimization
- training algorithm
- learning rate
- optimization methods
- neural network
- em algorithm
- probability distribution
- multi objective
- evolutionary algorithm
- learning algorithm