An Efficient Iterative Approach To Large Sparse Nonlinear Systems With Non-Hermitian Jacobian Matrices

East Asian Journal on Applied Mathematics(2021)

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