Global convergence of a modified Hestenes-Stiefel nonlinear conjugate gradient method with Armijo line search.
Zhifeng DaiFenghua WenPublished in: Numer. Algorithms (2012)
Keyphrases
- line search
- global convergence
- conjugate gradient
- convergence rate
- global optimum
- optimization methods
- convergence speed
- training algorithm
- step size
- euclidean space
- simulated annealing
- primal dual
- particle swarm
- objective function
- maximum likelihood estimation
- risk minimization
- neural network
- quadratic programming
- reproducing kernel hilbert space
- faster convergence
- evolutionary algorithm
- search space