Chinese Journal of Computational Physics ›› 2024, Vol. 41 ›› Issue (1): 75-86.DOI: 10.19596/j.cnki.1001-246x.8765

• Performance Optimization Techniques and Parallel Numerical Algorithms for Supercomputing • Previous Articles     Next Articles

Nonlinear Iterative Methods for Radiation Diffusion Equations

Hengbin AN1,2(), Zeyao MO1,2   

  1. 1. Institute of Applied Physics and Computational Mathematics, Beijing 100094, China
    2. Software Center for High Performance Numerical Simulation, China Academy of Engineering Physics, Beijing 100088, China
  • Received:2023-05-26 Online:2024-01-25 Published:2024-02-05

Abstract:

To improve the robustness and convergence speed of the Newton method and Picard method of solving radiation diffusion equations, several work is introduced when they are used to solve the three temperature radiation diffusion equation system, including the selection of initial iteration value, the treatment of physical constraints in the iterative process, the combination of the Picard iterative method and Anderson acceleration, and the improvement of Anderson acceleration method. By applying application-driven treatments and improvements, the two methods can be used to solve the nonlinear radiation diffusion equations.

Key words: radiation diffusion, nonlinear iteration, Newton method, Picard method, Anderson acceleration

CLC Number: