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非单调带参数Perry-Shanno无记忆拟牛顿法的收敛性

杭丹 颜世建2,*   

  1. 1. 空军勤务学院基础部, 江苏徐州 221000; 2. 南京师范大学数学科学学院, 南京 210097
  • 收稿日期:2016-03-21 出版日期:2016-12-15 发布日期:2016-12-15
  • 通讯作者: 颜世建 13814438626@163.com

Convergence of nonmonotonic Perry-Shanno's memoryless quasi-Newton method with parameters

HANG DanYAN Shijian2,*   

  1. 1. Department of Basic Education, Air Force College, Xuzhou 221000, Jiangsu, China; 2. School of Mathematical Science, Nanjing Normal University, Nanjing 210097, China
  • Received:2016-03-21 Online:2016-12-15 Published:2016-12-15

摘要:

给出了一种非单调带参数的Perry-Shanno无记忆拟牛顿法, 对于目标函数为凸函数, 在参数满足适当范围的情况下, 证明了算法的全局收敛性.

关键词: Perry-Shanno无记忆拟牛顿法, 参数, 非单调线搜索, 全局收敛性

Abstract:

A nonmonotonic Perry-Shanno's memoryless Quasi-Newton method with parameters for unconstrained optimization is investigated.The global convergence of
this algorithm is proved for convex objective function when  parameters are in the given range.

Key words: Perry-Shanno memoryless Quasi-Newton method, parameters, nonmonotone linesearch, global convergence