The global convergence of the Polak-Ribière-Polyak conjugate gradient algorithm under inexact line search for nonconvex functions.
Gonglin YuanZengxin WeiYuning YangPublished in: J. Comput. Appl. Math. (2019)
Keyphrases
- line search
- global convergence
- conjugate gradient
- globally convergent
- convergence rate
- global optimum
- convergence speed
- convergence analysis
- optimization methods
- objective function
- training algorithm
- levenberg marquardt
- maximum likelihood estimation
- step size
- quadratic programming
- reproducing kernel hilbert space
- faster convergence
- learning rate
- back propagation
- neural network