Sufficient descent conjugate gradient methods for large-scale optimization problems
Release time:2024-08-09
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- Affiliation of Author(s):
- 理学院
- Journal:
- International Journal of Computer Mathematics
- Key Words:
- 中文关键字:共轭梯度法;充分下降;无约束优化;Wolfe线搜索;全局收敛性,英文关键字:conjugate gradient method;sufficient descent; unco
- Abstract:
- Sufficient descent condition is very crucial in establishing the global convergence of nonlinear conjugate gradient method. In this paper, we modified two conjugate gradient methods such that both methods satisfy this property. Under suitable conditions, we prove the global convergence of the proposed methods. Numerical results show that the proposed methods are efficient for the given test problems.
- Note:
- 郑秀云
- Co-author:
- 刘红卫
- First Author:
- zhengxiuyun
- Indexed by:
- Journal paper
- Volume:
- 卷:88
- Issue:
- 期:16
- Page Number:
- 页:3436-3447
- Translation or Not:
- no
- Date of Publication:
- 2011-10-01



