Title
On preconditioned modified Newton-MHSS method for systems of nonlinear equations with complex symmetric jacobian matrices
Abstract
Preconditioned modified Hermitian and skew-Hermitian splitting (PMHSS) method is an unconditionally convergent iterative method for solving large sparse complex symmetric systems of linear equations. By making use of the PMHSS iteration as the inner solver to approximately solve the Newton equations, we establish a modified Newton-PMHSS method for solving large systems of nonlinear equations. Motivated by the idea in Chen et al. (2014), we analyze the local convergence properties under the Hölder continuous condition, which is weaker than the assumptions used in modified Newton-HSS method proposed by Wu and Chen (2013). Numerical results are given to confirm the effectiveness of our method.
Year
DOI
Venue
2015
10.1007/s11075-014-9912-2
Numerical Algorithms
Keywords
Field
DocType
Large sparse systems,Nonlinear equations,Modified Newton-HSS method,Convergence analysis,65F10,65W05
Linear equation,Mathematical optimization,Nonlinear system,Jacobian matrix and determinant,Iterative method,Mathematical analysis,Matrix (mathematics),Local convergence,Solver,Hermitian matrix,Mathematics
Journal
Volume
Issue
ISSN
69
3
1017-1398
Citations 
PageRank 
References 
4
0.43
11
Authors
3
Name
Order
Citations
PageRank
Hong-Xiu Zhong140.43
Guoliang Chen230546.48
Xue-Ping Guo371.18