|本期目录/Table of Contents|

[1]张继伟.保守修正BFGS算法及全局收敛性[J].集美大学学报(自然科学版),2010,15(3):228-233.
 ZHANG Ji-wei.A Cautious BFGS-type Method and Its Global Convergence[J].Journal of Jimei University,2010,15(3):228-233.
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《集美大学学报(自然科学版)》[ISSN:1007-7405/CN:35-1186/N]

卷:
第15卷
期数:
2010年第3期
页码:
228-233
栏目:
数理科学与信息工程
出版日期:
2010-05-25

文章信息/Info

Title:
A Cautious BFGS-type Method and Its Global Convergence
作者:
张继伟
(集美大学理学院,福建 厦门 361021)
Author(s):
ZHANG Ji-wei
(School of Sciences,Jimei University,Xiamen 361021,China)
关键词:
BFGS算法全局收敛性超线性收敛性
Keywords:
BFGS algorithmglobal convergencesuperlinear convergence
分类号:
-
DOI:
-
文献标志码:
-
摘要:
]基于新拟牛顿方程,提出一类保守修正BFGS算法.该算法的特点是:即使当目标函数是非凸函数时,该算法仍然是全局收敛的.在适当的条件下,该算法具有局部超线性收敛性.初步的数值实验表明,该算法是有效的
Abstract:
A cautious BFGS-type algorithm based on a new secant equation was proposed.A feature of this version of BFGS algorithm was that this algorithm possessed global convergence even when the objective function was nonconvex.In the proper conditions,the cautious BFGS-type algorithm was superlinearly convergent.The numerical experiments showed that the cautious BFGStype algorithm was promising

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更新日期/Last Update: 2014-06-28