A conjugate gradient method with descent direction for unconstrained optimization.
Gonglin YuanXiwen LuZengxin WeiPublished in: J. Comput. Appl. Math. (2009)
Keyphrases
- unconstrained optimization
- conjugate gradient method
- objective function
- constrained optimization
- optimization methods
- iterative methods
- nonlinear optimization
- trust region
- search methods
- penalty function
- multi objective
- conjugate gradient
- optimization problems
- optimal solution
- global optimum
- optimization method
- high dimensional
- positive definite
- neural network
- cost function
- training data
- computer vision