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所属单位：

中南大学

发表刊物：

ANZIAM JOURNAL

关键字：

UNCONSTRAINED OPTIMIZATION; LINE SEARCH; ALGORITHMS; DIRECTION

摘要：

A modified spectral PRP conjugate gradient method is presented for solving unconstrained optimization problems. The constructed search direction is proved to be a sufficiently descent direction of the objective function. With an Armijo-type line search to determinate the step length, a new spectral PRP conjugate algorithm is developed. Under some mild conditions, the theory of global convergence is established. Numerical results demonstrate that this algorithm is promising, particularly, compared with the existing similar ones.

合写作者：

Songhai Deng

第一作者：

Shuai Huang

论文类型：

基础研究

通讯作者：

Zhong Wan

文献类型：

J

卷号：

54

期号：

3

页面范围：

143-152

是否译文：

否

发表时间：

2013-01-01