Chinese Journal of Computational Physics ›› 2024, Vol. 41 ›› Issue (1): 122-130.DOI: 10.19596/j.cnki.1001-246x.8767

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

Convergence Estimation and Characteristic Analysis of A Two-level Iterative Algorithm for Discretized Three-temperature Energy Linear Systems

Yue HAO1,2(), Silu HUANG1,2, Xiaowen XU1,2,*()   

  1. 1. Laboratory of Computational Physics, Beijing 100088, China
    2. Institute of Applied Physics and Computational Mathematics, Beijing 100094, China
  • Received:2023-05-30 Online:2024-01-25 Published:2024-02-05
  • Contact: Xiaowen XU

Abstract:

In this paper, we study in detail the specific convergence property of the physical-variable-based coarsening two-level iterative method (PCTL) algorithm based on the theory of algebraic multigrid method (AMG), and give a reasonable upper bound on the convergence factor, which provides a theoretical guarantee for the PCTL algorithm. Moreover, we also analyze the algebraic features that affect the convergence of the PCTL algorithm, such as diagonal dominance and coupling strength, hoping to provide theoretical guidance for the applications and algorithm optimization of the PCTL algorithm.

Key words: three temperature energy equation, physical-variable based coarsening two-level iterative method, algebraic multigrid method, convergence, influence factor

CLC Number: