An Adaptive Multigrid Method for Semilinear Elliptic Equations

Authors

  • Fei Xu Beijing Institute for Scientific and Engineering Computing, Beijing University of Technology, Beijing 100124, China
  • Qiumei Huang College of Applied Sciences, Beijing University of Technology, Beijing 100124, China
  • Shuangshuang Chen Beijing Institute for Scientific and Engineering Computing, College of Applied Sciences, Beijing University of Technology, Beijing 100124, China.
  • Tao Bing China Reinsurance (Group) Corporation, Beijing 100032, China.

DOI:

https://doi.org/10.4208/eajam.061118.070419

Keywords:

Semilinear elliptic problem, adaptive multigrid method, convergence, optimal complexity.

Abstract

An adaptive multigrid method for semilinear elliptic equations based on adaptive multigrid methods and on multilevel correction methods is developed. The solution of a semilinear problem is reduced to a series of linearised elliptic equations on the sequence of adaptive finite element spaces and semilinear elliptic problems on a very low dimensional space. The corresponding linear elliptic equations are solved by an adaptive multigrid method. The convergence and optimal complexity of the algorithm is proved and illustrating numerical examples are provided. The method requires only the Lipschitz continuity of the nonlinear term. This approach can be extended to other nonlinear problems, including Navier-Stokes problems and phase field models.

Published

2019-10-09

Issue

Section

Articles