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求解非凸函数极小的非单调线性搜索的修正Broyden算法

Modified Brotedn Methods with Nonmonotone Linesearch for Solving Nonconvex Minimization
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摘要 提出了一类求解非凸函数极小的修正Broyden算法,并在较弱条件下,即假设目标函数二阶连续可微,其梯度满足Lipschitz条件,采用非单调Wolfe线性搜索确定步长,证明了所提出的修正Broyden算法的全局收敛性。 In this paper,a class of modified Broyden methods with nonmonotone Wolfe linesearch was presented.If the objective function is twice continuously differentiable,the global convergence of the modified Broyden methods is demonstrated with nonmonotone Wolfe linesearch.
作者 陈忠 唐关丽
出处 《长江大学学报(自科版)(上旬)》 CAS 2008年第4期4-6,共3页 JOURNAL OF YANGTZE UNIVERSITY (NATURAL SCIENCE EDITION) SCI & ENG
基金 国家自然科学基金项目(40572078/D0206) 教育部重点实验室开放基金项目(KLETOR0608) 湖北省教育厅重点项目(D200512001)
关键词 非凸函数 非单调woIfe线性搜索 BROYDEN算法 全局收敛 nonconvex minimization Broyden methods global con vergence
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