Zheng, H. and Qu, W. (2020) Superlinearly Convergent Methods for Solving a Class of Implicit Complementarity Problems Based on Sign Analysis. Japan Journal of Industrial and Applied Mathematics, 37, 433-447.
https://doi.org/10.1007/s13160-020-00405-3

has been cited by the following article:

• TITLE: A Class of Smoothing Modulus-Based Iterative Method for Solving Implicit Complementarity Problems

  AUTHORS: Cong Guo, Chenliang Li, Tao Luo

  KEYWORDS: Implicit Complementarity Problem, Smooth Function, Smoothing Modulus-Based Iterative Method

  JOURNAL NAME: American Journal of Computational Mathematics, Vol.12 No.2, May 18, 2022

  ABSTRACT: In this paper, a class of smoothing modulus-based iterative method was presented for solving implicit complementarity problems. The main idea was to transform the implicit complementarity problem into an equivalent implicit fixed-point equation, then introduces a smoothing function to obtain its approximation solutions. The convergence analysis of the algorithm was given, and the efficiency of the algorithms was verified by numerical experiments.