New type of conjugate gradient algorithms for unconstrained optimization problems

被引：0
|
作者：
Caiying Wu and Guoqing Chen College of Mathematics Science
机构：
来源：
Journal of Systems Engineering and Electronics | 2010年 / 21卷 / 06期
关键词：
conjugate gradient; unconstrained optimization; global convergence; conjugacy condition;
D O I：
暂无
中图分类号：
O224 [最优化的数学理论];
学科分类号：
070105 ; 1201 ;
摘要：
Two new formulaes of the main parameter βk of the conjugate gradient method are presented, which respectively can be seen as the modifications of method HS and PRP. In comparison with classic conjugate gradient methods, the new methods take both available gradient and function value information. Furthermore, their modifications are proposed. These methods are shown to be global convergent under some assumptions. Numerical results are also reported.
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页码：1000 / 1007
页数：8
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