摘要
基于带有自调比参数的修正DL方法,提出一个带有修正割线条件的修正共轭梯度法NDL方法.在满足Wolfe线搜索的条件下,证明了该方法具有充分下降性;最后分析并且证明,该方法在满足强Wolfe条件下,对一般函数都会具有全局收敛性.
Based on the modified DL method with self scaling parameters, a modified conjugate gradient method (NDL) with modified secant conditions has been proposed,The step length satisfies the Wolfe line search, it is proved that the meth od has sufficient descending property. Finally, the method is proved to have a general function under the strong Wolfe condition. There is a global convergence.
作者
张翔
ZHANG Xiang(College of Mathematics Science,Chongqing Normal University,Chongqing 401331,China)
出处
《周口师范学院学报》
CAS
2018年第5期11-13,共3页
Journal of Zhoukou Normal University
基金
重庆市自然科学学基金重点项目(No.cstc2015jcyjBX0029)
关键词
无约束优化
共轭梯度法
全局收敛性
割线条件
unconstrained optimization
conjugate gradient method
global convergence
secant condition