Three New Hybrid Conjugate Gradient Methods for Optimization

• 作者: Anwa Zhou Hao Fan Qian Qing Zhibin Zhu
• 来源期刊: 应用数学(英文)
• 学科: 数学
• 关键词: CONJUGATE GRADIENT Method DESCENT Direction GLOBAL CONVERGENCE
• 年，卷（期）: 2011,（3）
• 页码范围: 303-308
• 页数: 6页
• 分类号: O22

摘要

In this paper, three new hybrid nonlinear conjugate gradient methods are presented, which produce suf?cient descent search direction at every iteration. This property is independent of any line search or the convexity of the objective function used. Under suitable conditions, we prove that the proposed methods converge globally for general nonconvex functions. The numerical results show that all these three new hybrid methods are efficient for the given test problems.