The convergence of conjugate gradient method with nonmonotone line search.
Zhenjun ShiShengquan WangZhiwei XuPublished in: Appl. Math. Comput. (2010)
Keyphrases
- line search
- conjugate gradient
- conjugate gradient method
- convergence rate
- objective function
- faster convergence
- training algorithm
- maximum likelihood estimation
- levenberg marquardt
- global convergence
- step size
- variational inequalities
- neural network
- reproducing kernel hilbert space
- quadratic programming
- primal dual
- least squares
- kernel machines
- global optimum
- cost function
- risk minimization
- training data
- convergence property
- image sequences