求解无约束优化问题的一种新的非线性共轭梯度法

摘要

In this paper,an efficient conjugate gradient method is given to solve the general unconstrained optimization problems,which can guarantee the sufficient descent property and the global convergence with the strong Wolfe line search conditions.Numerical results show that the new method is efficient and stationary by comparing with PRP+method,so it can be widely used in scientific computation.