数学物理学报(英文版) ›› 2017, Vol. 37 ›› Issue (5): 1262-1280.doi: 10.1016/S0252-9602(17)30072-3

• 论文 • 上一篇    下一篇

SMOOTHING NEWTON ALGORITHM FOR THE CIRCULAR CONE PROGRAMMING WITH A NONMONOTONE LINE SEARCH

迟晓妮1, 韦洪锦2, 万仲平3, 朱志斌4   

  1. 1. School of Mathematics and Computing Science, Guangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology, Guilin 541004, China;
    2. School of Mathematics and Computing Science, Guangxi Key Laboratory of Automatic Detecting Technology and Instruments, Guilin University of Electronic Technology, Guilin 541004, China;
    3. School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China;
    4. School of Mathematics and Computing Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin 541004, China
  • 收稿日期:2016-05-10 修回日期:2016-12-16 出版日期:2017-10-25 发布日期:2017-10-25
  • 通讯作者: Xiaoni CHI,E-mail:chixiaoni@126.com E-mail:chixiaoni@126.com
  • 作者简介:Hongjin WEI,E-mail:hjwei530209@163.com;Zhongping WAN,E-mail:mathwanzhp@whu.edu.cn;Zhibin ZHU,E-mail:zhuzbma@hotmail.com
  • 基金资助:

    This research was supported by the National Natural Science Foundation of China (11401126, 71471140 and 11361018), Guangxi Natural Science Foundation (2016GXNSFBA380102 and 2014GXNSFFA118001), Guangxi Key Laboratory of Cryptography and Information Security (GCIS201618), and Guangxi Key Laboratory of Automatic Detecting Technology and Instruments (YQ15112 and YQ16112), China.

SMOOTHING NEWTON ALGORITHM FOR THE CIRCULAR CONE PROGRAMMING WITH A NONMONOTONE LINE SEARCH

Xiaoni CHI1, Hongjin WEI2, Zhongping WAN3, Zhibin ZHU4   

  1. 1. School of Mathematics and Computing Science, Guangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology, Guilin 541004, China;
    2. School of Mathematics and Computing Science, Guangxi Key Laboratory of Automatic Detecting Technology and Instruments, Guilin University of Electronic Technology, Guilin 541004, China;
    3. School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China;
    4. School of Mathematics and Computing Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin 541004, China
  • Received:2016-05-10 Revised:2016-12-16 Online:2017-10-25 Published:2017-10-25
  • Contact: Xiaoni CHI,E-mail:chixiaoni@126.com E-mail:chixiaoni@126.com
  • Supported by:

    This research was supported by the National Natural Science Foundation of China (11401126, 71471140 and 11361018), Guangxi Natural Science Foundation (2016GXNSFBA380102 and 2014GXNSFFA118001), Guangxi Key Laboratory of Cryptography and Information Security (GCIS201618), and Guangxi Key Laboratory of Automatic Detecting Technology and Instruments (YQ15112 and YQ16112), China.

摘要:

In this paper, we present a nonmonotone smoothing Newton algorithm for solving the circular cone programming (CCP) problem in which a linear function is minimized or maximized over the intersection of an affine space with the circular cone. Based on the relationship between the circular cone and the second-order cone (SOC), we reformulate the CCP problem as the second-order cone problem (SOCP). By extending the nonmonotone line search for unconstrained optimization to the CCP, a nonmonotone smoothing Newton method is proposed for solving the CCP. Under suitable assumptions, the proposed algorithm is shown to be globally and locally quadratically convergent. Some preliminary numerical results indicate the effectiveness of the proposed algorithm for solving the CCP.

关键词: circular cone programming, second-order cone programming, nonmonotone line search, smoothing Newton method, local quadratic convergence

Abstract:

In this paper, we present a nonmonotone smoothing Newton algorithm for solving the circular cone programming (CCP) problem in which a linear function is minimized or maximized over the intersection of an affine space with the circular cone. Based on the relationship between the circular cone and the second-order cone (SOC), we reformulate the CCP problem as the second-order cone problem (SOCP). By extending the nonmonotone line search for unconstrained optimization to the CCP, a nonmonotone smoothing Newton method is proposed for solving the CCP. Under suitable assumptions, the proposed algorithm is shown to be globally and locally quadratically convergent. Some preliminary numerical results indicate the effectiveness of the proposed algorithm for solving the CCP.

Key words: circular cone programming, second-order cone programming, nonmonotone line search, smoothing Newton method, local quadratic convergence