An Efficient Iterative Approach to Large Sparse Nonlinear Systems with Non-Hermitian Jacobian Matrices

Authors

  • Min-Hong Chen
  • Qing-Biao Wu
  • Qin Gao
  • Rong-Fei Lin

DOI:

https://doi.org/10.4208/eajam.260420.171120

Keywords:

Splitting iteration, positive definite Jacobian matrices, large sparse nonlinear system, modified Newton-DMGHSS method, convergence.

Abstract

Inner-outer iterative methods for large sparse non-Hermitian nonlinear systems are considered. Using the ideas of modified generalised Hermitian and skew Hermitian methods and double-parameter GHSS method, we develop a double-parameter modified generalised Hermitian and skew Hermitian method (DMGHSS) for linear non-Hermitian systems. Using this method as the inner iterations and the modified Newton method as the outer iterations, we introduce modified Newton-DMGHSS methods for large sparse non-Hermitian nonlinear systems. The convergence of the methods is studied. Numerical results demonstrate the efficacy of the methods.

Published

2021-02-23

Issue

Section

Articles