一个基于LS公式修正的新共轭梯度算法
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黄海[1] 林穗华[1] 姚胜伟[2]
[1]南宁师范高等专科学校数学与计算机科学系,广西龙州532400 [2]广西大学数学与信息科学学院,广西南宁530004
摘 要:
基于LS公式βLkS提出一个求解大规模非线性优化问题的新共轭梯度法公式:βk*=gTk(gk-‖gk‖‖gk-1‖gk-1)/(-gTk-1dk-1),并证明新公式在σ∈(0,21)的SWP线搜索下具有充分下降性和全局收敛性.新方法的数值试验结果良好.[著者文摘]
文章出处:
《广西科学》-2007年14卷3期,249 -244-246,249页
Guangxi Sciences
分 类 号:
文献标识码:
A
文章编号:
1005-9164(2007)03-0244-03
[参考文献]
A New Conjugate Gradient Method for Modified LS Formula
HUANG Hai ,LIN Sui-hua ,YAO Sheng-wei(1. Department of Mathematics and Computer Science, Nanning Teachers College, Longzhou, Guangxi, 532400, China; 2. College of Mathematics and Information Science,Guangxi University, Nanning, Guangxi, 530004, China)
Abstract:
A conjugate gradient formula βL^* based on modified formula βL^kS proposed. That is βk*=gTk(gk-‖gk‖‖gk-1‖gk-1)/(-gTk-1dk-1) .It is proved that under the strong Wolfe-Powell line search 1 and the parameter o σ∈(0,21), the corresponding method has sufficient descent and global convergence properties. Preliminary numerical results show that the proposed method is very promising.[著者文摘]
Key words:
unconstrained optimination, conjugate gradient method, SWP line search, global convergence
收稿日期: 2006-12-28
基金资助:
广西自然科学基金项目(0542043)和南宁师范高等专科学校科研项目(2007012)资助.

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