A scaled BFGS preconditioned conjugate gradient algorithm for unconstrained optimization.
Neculai AndreiPublished in: Appl. Math. Lett. (2007)
Keyphrases
- conjugate gradient algorithm
- learning rate
- conjugate gradient
- convergence rate
- line search
- constrained optimization
- nonlinear optimization
- regularization framework
- search methods
- convergence speed
- learning algorithm
- optimization methods
- evolutionary programming
- training algorithm
- step size
- mutation operator
- maximum likelihood estimation
- levenberg marquardt
- global convergence
- global search
- primal dual
- support vector