A FORWARD-BACKWARD ALGORITHM FOR THE DC PROGRAMMING IN HILBERT SPACES

被引：2
|
作者：
Chuang, Chih-Sheng [1 ]
机构：
[1] Natl Chiayi Univ, Dept Appl Math, Chiayi, Taiwan
来源：
JOURNAL OF NONLINEAR AND VARIATIONAL ANALYSIS | 2019年 / 3卷 / 02期
关键词：
DC programming; Maximal monotone; Strongly convex; Semicontinuous and convex function; PROXIMAL POINT ALGORITHM; OPTIMALITY CONDITIONS; OPTIMIZATION PROBLEMS; DUALITY; CONVEX; CONVERGENCE;
D O I：
10.23952/jnva.3.2019.2.06
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, we introduce a forward-backward algorithm to solve the DC programming problem and establish convergence theorems in the framework of finite dimensional real Hilbert spaces. Our results can also be extended to the generalized DC programming.
引用
收藏
页码：171 / 179
页数：9
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