Gauss-Newton methods for a class of nonsmooth optimization problems

被引：0
|
作者：
李冲
王兴华
机构：
[1] ,Department of Mathematics,Hangzhou University, Hangzhou 310028, China
[2] Department of Applied Mathematics, Southeast University, Nanjing 210096, China
来源：
Progress in Natural Science:Materials International | 2000年 / 06期
基金：
中国国家自然科学基金;
关键词：
Gauss-Newton method; weak sharp minima; regular point; quadratic convergence;
D O I：
暂无
中图分类号：
O224 [最优化的数学理论];
学科分类号：
070105 ; 1201 ;
摘要：
The local quadratic convergence of the Gauss-Newton method for convex composite optimizations is established for any convex function with a minima set. This work extends Burke and Ferris’ results when this minima set is a set of weak sharp minima for the convex function,
引用
收藏
页码：72 / 75
页数：4
相关论文
共 50 条
12345