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Goldstein线搜索下混合共轭梯度法的全局收敛性
引用本文:焦宝聪,陈兰平,潘翠英.Goldstein线搜索下混合共轭梯度法的全局收敛性[J].计算数学,2007,29(2):137-146.
作者姓名:焦宝聪  陈兰平  潘翠英
作者单位:首都师范大学数学科学学院,北京,100037
基金项目:国家自然科学基金(60472071),北京市教委科研基金(KM200710028001)资助.
摘    要:本文结合FR算法和DY算法,给出了一类新的杂交共轭梯度算法,并结合Goldstein线搜索,在较弱的条件下证明了算法的收敛性.数值实验表明了新算法的有效性.

关 键 词:无约束最优化  非精确线搜索  共轭梯度法  全局收敛性
修稿时间:2005-11-18

CONVERGENCE PROPERTIES OF A HYBRID CONJUGATE GRADIENT METHODS WITH GOLDSTEIN LINE SEARCH
Jiao Baocong,Chen Lanping,Pan Cuiying.CONVERGENCE PROPERTIES OF A HYBRID CONJUGATE GRADIENT METHODS WITH GOLDSTEIN LINE SEARCH[J].Mathematica Numerica Sinica,2007,29(2):137-146.
Authors:Jiao Baocong  Chen Lanping  Pan Cuiying
Institution:School of Mathematical Sciences, Capital Normal University, Beijing 100037, China
Abstract:In this paper, we propose a hybrid of conjugate gradient methods for unconstrained optimization based on Fletcher-Reeves Algorithm and Dai-Yuan Algorithm, which had taken the advantages of two Algorithms. The convergence of the new methods is proved with the Goldstein line search and without the descent condition . Numerical experiments show that the algorith is efficient.
Keywords:Unconstrained optimization  Inexact line search  Hybrid conjugate gradient method  Global convergence
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