Global Convergence Of A New Modified PRP Conjugate Gradient Method

被引:0
|
作者
Yong, Li [1 ]
机构
[1] Baise Univ, Dept Math & Comp Sci, Baise 533000, Peoples R China
关键词
Unconstrained optimization; Conjugate Gradient Method; Inexact Line Search; Global Convergence; OPTIMIZATION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper puts forwards a modified PRP conjugate gradient method, in which the new parameter formula is adopted. This method ensures automatically the non-negative of the new parameter formula. Under mild conditions, the global convergence of the proposed formula with the generalized Wolfe-Powell line search and the Wolfe-Powell line search is proved. Numerical results show that the new method performs much better than both PRP and PRP+ methods.
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页码:2287 / 2290
页数:4
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