TY - JOUR T1 - An Efficient Iterative Approach to Large Sparse Nonlinear Systems with Non-Hermitian Jacobian Matrices AU - Chen , Min-Hong AU - Wu , Qing-Biao AU - Gao , Qin AU - Lin , Rong-Fei JO - East Asian Journal on Applied Mathematics VL - 2 SP - 349 EP - 368 PY - 2021 DA - 2021/02 SN - 11 DO - http://doi.org/10.4208/eajam.260420.171120 UR - https://global-sci.org/intro/article_detail/eajam/18638.html KW - Splitting iteration, positive definite Jacobian matrices, large sparse nonlinear system, modified Newton-DMGHSS method, convergence. AB -
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.