Communications on Applied Mathematics and Computation ›› 2025, Vol. 7 ›› Issue (5): 1977-1992.doi: 10.1007/s42967-024-00421-x

• ORIGINAL PAPERS • Previous Articles    

Modulus-Based Cascadic Multigrid Method for Quasi-variational Inequality Problems

Ke-Yu Gao, Chen-Liang Li   

  1. School of Mathematics and Computing Science, Center for Applied Mathematics of Guangxi (GUET), Guangxi University Key Laboratory of Data Analysis and Computation, Guilin University of Electronics Technology, Guilin, 541004, Guangxi, China
  • Received:2023-09-01 Revised:2024-04-25 Accepted:2024-04-28 Online:2024-11-14 Published:2024-11-14
  • Contact: Chen-Liang Li,E-mail:chenli@guet.edu.cn E-mail:chenli@guet.edu.cn
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (12161027), Guangxi Natural Science Foundation, China (2020GXNSFAA159143), and the Science and Technology Project of Guangxi, China (AD23023002).

Abstract: We propose the modulus-based cascadic multigrid (MCMG) method and the modulus-based economical cascadic multigrid method for solving the quasi-variational inequalities problem. The modulus-based matrix splitting iterative method is adopted as a smoother, which can accelerate the convergence of the new methods. We also give the convergence analysis of these methods. Finally, some numerical experiments confirm the theoretical analysis and show that the new methods can achieve high efficiency and lower costs simultaneously.

Key words: Quasi-variational inequality, Modulus-based cascadic multigrid (MCMG) method, Modulus-based matrix splitting iteration method, Convergence