A New Conjugate Gradient Method with Generalized Wolfe Step Size Rule

Conjugate gradient optimization algorithms depend on the search directions with different choice for the parameter in the conjugate gradient directions.In this paper,conditions are given on the parameter to ensure that the conjugate direction is sufficient descent,and a new conjugate gradient method is proposed.This algorithm only needs a smaller memory and has the better convergence rate.