TY - JOUR T1 - A Hybrid Method for Three-Dimensional Semi-Linear Elliptic Equations AU - Huang , Jianguo AU - Ma , Shengbiao AU - Wang , Haoqin JO - East Asian Journal on Applied Mathematics VL - 2 SP - 420 EP - 434 PY - 2023 DA - 2023/04 SN - 13 DO - http://doi.org/10.4208/eajam.2022-264.091122 UR - https://global-sci.org/intro/article_detail/eajam/21655.html KW - Deep learning, iterative method, semi-linear elliptic equations, convergence rate analysis. AB -
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.