Two modified Dai-Yuan nonlinear conjugate gradient methods

被引：0
|
作者：
Li Zhang
机构：
[1] Changsha University of Science and Technology,College of Mathematics and Computational Science
来源：
Numerical Algorithms | 2009年 / 50卷
关键词：
Conjugate gradient method; Global convergence; 90C30; 65K05;
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学科分类号：
摘要：
In this paper, we propose two modified versions of the Dai-Yuan (DY) nonlinear conjugate gradient method. One is based on the MBFGS method (Li and Fukushima, J Comput Appl Math 129:15–35, 2001) and inherits all nice properties of the DY method. Moreover, this method converges globally for nonconvex functions even if the standard Armijo line search is used. The other is based on the ideas of Wei et al. (Appl Math Comput 183:1341–1350, 2006), Zhang et al. (Numer Math 104:561–572, 2006) and possesses good performance of the Hestenes-Stiefel method. Numerical results are also reported.
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页码：1 / 16
页数：15
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