A REGULARIZED INEXACT SMOOTHING NEWTON METHOD FOR CIRCULAR CONE COMPLEMENTARITY PROBLEM

被引:0
|
作者
Chi, Xiaoni [1 ]
Tao, Jiyuan [2 ]
Zhu, Zhibin [3 ]
Duan, Fujian [4 ,5 ]
机构
[1] Guilin Univ Elect Technol, Guangxi Key Lab Cryptog & Informat Secur, Sch Math & Comp Sci, Guilin 541004, Guangxi, Peoples R China
[2] Loyola Univ Maryland, Dept Math & Stat, Baltimore, MD 21210 USA
[3] Guilin Univ Elect Technol, Guangxi Key Lab Automat Detecting Technol & Instr, Sch Math & Comp Sci, Guilin 541004, Guangxi, Peoples R China
[4] Guilin Univ Elect Technol, Guangxi Coll, Sch Math & Comp Sci, Guilin 541004, Guangxi, Peoples R China
[5] Guilin Univ Elect Technol, Univ Key Lab Data Anal & Computat, Guilin 541004, Guangxi, Peoples R China
来源
PACIFIC JOURNAL OF OPTIMIZATION | 2017年 / 13卷 / 02期
基金
中国国家自然科学基金;
关键词
Circular cone complementarity problem; regularized inexact smoothing Newton method; regularized Fischer-Burmeister smoothing function; global convergence; local quadratic convergence; INTERIOR-POINT ALGORITHMS;
D O I
暂无
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper, we show that the regularized Fischer-Burmeister smoothing function is coercive under suitable assumptions, which plays an important role in the global convergence of our algorithm. Consequently, we develop a regularized inexact smoothing Newton algorithm for solving the circular cone complementarity problem (CCCP) via the regularized Fischer-Burmeister smoothing function. In addition, in our algorithm, the regularized parameter is viewed as an independent variable so that it is simpler and more easily implemented than many existing algorithms. Also, our algorithm solves only one linear system of equations approximately and performs only one line search at each iteration. Moreover, our algorithm is shown to possess global and local quadratic convergence properties without strict complementarity. Finally, some numerical results illustrate the effectiveness of our algorithm for solving the CCCP.
引用
收藏
页码:197 / 218
页数:22
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