A Hybrid Method for Three-Dimensional Semi-Linear Elliptic Equations

Authors

  • Jianguo Huang
  • Shengbiao Ma
  • Haoqin Wang

DOI:

https://doi.org/10.4208/eajam.2022-264.091122%20

Keywords:

Deep learning, iterative method, semi-linear elliptic equations, convergence rate analysis.

Abstract

This paper is concerned with a hybrid method for three-dimensional semilinear elliptic equations, constructed by combining the ideas presented in [Huang et al., J. Comput. Phys. 419 (2020)] and [Zhang et al., Comput. Math. Appl. 80 (2020)]. The convergence rate analysis indicates that the method converges rapidly. Numerical examples support the theoretical results and show that the method proposed outperforms the purely deep learning-based and traditional iterative methods.

Published

2023-04-25

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Articles