| 一种带强Wolfe线搜索的CD和LS混合共轭梯度算法 |
| |
| 引用本文： | 马,烁.一种带强Wolfe线搜索的CD和LS混合共轭梯度算法[J].重庆工商大学学报(自然科学版),2014(8):62-65,100. |
| |
| 作者姓名： | 马 烁 |
| |
| 作者单位： | 荆州理工职业学院,湖北荆州434000 |
| |
| 基金项目： | 湖北省教育科学“十二五”规划课题（20128310）资助. |
| |
| 摘 要： | 在CD方法和LS方法的基础上,结合二者的优势,提出了一种求解无约束优化问题的混合共轭梯度算法,并在强Wolfe线搜索下证明了算法的全局收敛性;数值实验结果表明算法是有效的.
|
| 关 键 词： | 无约束最优化 共轭梯度法 Wolfe线搜索 全局收敛性 |
A Kind of CD and LS Mixed Conjugate Gradient Algorithm with Strong Wolfe Line Search |
| |
| MA Shuo.A Kind of CD and LS Mixed Conjugate Gradient Algorithm with Strong Wolfe Line Search[J].Journal of Chongqing Technology and Business University:Natural Science Edition,2014(8):62-65,100. |
| |
| Authors: | MA Shuo |
| |
| Institution: | MA Shuo (Jingzhou Vocational College of Technology, Hubei Jingzhou 434000, China) |
| |
| Abstract: | Based on CD and LS method, this paper proposes a kind of mixed conjugate gradient algorithm to solve unconstrained optimization problem by combining the advantages of the two, proves the global convergence of this algorithm under strong Wolfe line search, and the numerical experiment shows that this algorithm is valid. |
| |
| Keywords: | unconstrained optimization conjugate gradient algorithm Wolfe line search global convergence |
| 本文献已被 CNKI 维普 等数据库收录！ |
