A preconditioned nested splitting conjugate gradient iterative method for the large sparse generalized Sylvester equation.
Yi-Fen KeChang-Feng MaPublished in: Comput. Math. Appl. (2014)
Keyphrases
- conjugate gradient
- conjugate gradient algorithm
- training algorithm
- convergence rate
- maximum likelihood estimation
- faster convergence
- high dimensional
- levenberg marquardt
- learning rate
- reproducing kernel hilbert space
- neural network
- machine learning
- back propagation
- convergence speed
- global optimization
- low dimensional
- computer vision