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无约束最优化的polakribire和hestenesstiefel共轭梯度法的全局收敛性英文
韩继业1; 王长钰2; 王磊1
2000
Source Publication运筹学学报
ISSN1007-6093
Volume4Issue:3Pages:1
Abstract该文在很弱的条件下得到了关于无约束最优化的Polak-Ribière和Hestenes-Stiefel共轭梯度法的全局收敛性的新结果,这里PR方法和HS方法中的参数β~(PR)_k和β~(HS)_k可以在某个负的区域内取值,这一负的区域与k有关.这些新的收敛性结果改进了文献中已有的结果.数值检验的结果表明了该文中新的PR方法和HS方法是相当有效的.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/37467
Collection中国科学院数学与系统科学研究院
Affiliation1.中国科学院数学与系统科学研究院
2.曲阜师范大学
Recommended Citation
GB/T 7714
韩继业,王长钰,王磊. 无约束最优化的polakribire和hestenesstiefel共轭梯度法的全局收敛性英文[J]. 运筹学学报,2000,4(3):1.
APA 韩继业,王长钰,&王磊.(2000).无约束最优化的polakribire和hestenesstiefel共轭梯度法的全局收敛性英文.运筹学学报,4(3),1.
MLA 韩继业,et al."无约束最优化的polakribire和hestenesstiefel共轭梯度法的全局收敛性英文".运筹学学报 4.3(2000):1.
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