Journal of Jilin University Science Edition ›› 2019, Vol. 57 ›› Issue (2): 258-264.

Previous Articles     Next Articles

Smoothing Newton Method for Linear CircularCone Complementarity Problems#br#

ZHANG Suobin1,2, WANG Yang2,3, CHI Xiaoni3,4, ZENG Xiangyan3,5#br#   

  1. 1. School of Computer Science and Information Security,  Guilin University of Electronic Technology, Guilin 541004, Guangxi Zhuang Autonomous Region, China; 2. Guangxi Key Laboratory of Cryptography and Information Security,Guilin University of Electronic Technology, Guilin 541004, Guangxi Zhuang Autonomous Region, China;3. School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin 541004, Guangxi Zhuang Autonomous Region, China; 4. Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin 541004, Guangxi Zhuang Autonomous Region, China; 5. Guangxi Key Laboratory of Automatic Detection Technology and Instrument, Guilin University of Electronic Technology, Guilin 541004, Guangxi Zhuang Autonomous Region, China
  • Received:2018-04-18 Online:2019-03-26 Published:2019-03-26
  • Contact: CHI Xiaoni E-mail:chixiaoni@126.com

Abstract: We presented a new smoothing Newton method for solving the linear circular cone complementarity problems. Firstly, based on  the smoothing function of the circular cone complementary function, the linear circular cone complementarity problem was transformed into a system of equations, which were solved by the smoothing Newton method. Secondly, under suitable assumptions, we proved that the algorithm had the global convergence and local quadratic convergence. The numerical results show that the CPU time and iteration times of the algorithm for solving linear circular cone complementarity problems are less, and the algorithm is relatively stable, which proves the effectiveness of the algorithm.

Key words: linear circular cone complementarity problem, smoothing Newton method, smoothing function, global convergence, local quadratic convergence

CLC Number: 

  • O221