Abstract
In this paper, we contemplate addressing nonlinear problems involving complex symmetric Jacobian matrices. Firstly, we establish a parameter-free method called modified Newton–CAPRESB (MN–CAPRESB) method by harnessing the modified Newton method as the outer iteration and the CAPRESB (Chebyshev accelerated preconditioned square block) method as the inner iteration. Secondly, the local and semilocal convergence theorems of MN–CAPRESB method are proved under some conditions. Eventually, the numerical experiments of two kinds of complex nonlinear equations are presented to validate the feasibility of MN–CAPRESB method compared to other existing iteration methods.
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21 June 2024
A Correction to this paper has been published: https://doi.org/10.1007/s40314-024-02786-4
References
Axelsson O (1996) Iterative solution methods. Cambridge University Press, Cambridge
Axelsson O, Neytcheva M, Ahmad B (2014) A comparison of iterative methods to solve complex valued linear algebraic systems. Numer Algorithms 66:811–841
Bai ZZ, Guo XP (2010) On Newton-HSS methods for systems of nonlinear equations with positive-definite Jacobian matrices. J Comput Math 28:235–260
Bai ZZ, Golub GH, Ng MK (2003) Hermitian and skew-Hermitian splitting methods for non-Hermitian positive definite linear systems. SIAM J Matrix Anal Appl 24(3):603–626
Bai ZZ, Benzi M, Chen F (2010) Modified HSS iteration methods for a class of complex symmetric linear systems. Computing 87(3–4):93–111
Bai ZZ, Benzi M, Chen F (2011) On preconditioned MHSS iteration methods for complex symmetric linear systems. Numer Algorithms 56(2):297–317
Bai ZZ, Benzi M, Chen F et al (2013) Preconditioned MHSS iteration methods for a class of block two-by-two linear systems with applications to distributed control problems. IMA J Numer Anal 33(1):343–369
Dai PF, Wu QB, Chen MH (2018) Modified Newton-NSS method for solving systems of nonlinear equations. Numer Algorithms 77:1–21
Darvishi MT, Barati A (2007) A third-order Newton-type method to solve systems of nonlinear equations. Appl Math Comput 187(2):630–635
Dembo RS, Eisenstat SC, Steihaug T (1982) Inexact newton methods. SIAM J Numer Anal 19(2):400–408
Edalatpour V, Hezari D, Khojasteh Salkuyeh D (2015) Accelerated generalized SOR method for a class of complex systems of linear equations. Math Commun 20(1):37–52
Feng YY, Wu QB (2021) MN-PGSOR method for solving nonlinear systems with block two-by-two complex symmetric Jacobian matrices. J Math 2021:1–18
Golub GH, Varga RS (1961) Chebyshev semi-iterative methods, successive overrelaxation iterative methods, and second order Richardson iterative methods. Numer Math 3(1):157–168
Hezari D, Edalatpour V, Salkuyeh DK (2015) Preconditioned GSOR iterative method for a class of complex symmetric system of linear equations. Numer Linear Algebra Appl 22(4):761–776
Hezari D, Salkuyeh DK, Edalatpour V (2016) A new iterative method for solving a class of complex symmetric system of linear equations. Numer Algorithms 73:927–955
Huang ZG (2021) Modified two-step scale-splitting iteration method for solving complex symmetric linear systems. Comput Appl Math 40(4):122
King RF (1973) A family of fourth order methods for nonlinear equations. SIAM J Numer Anal 10(5):876–879
Liang ZZ, Zhang GF (2016) On SSOR iteration method for a class of block two-by-two linear systems. Numer Algorithms 71:655–671
Liang ZZ, Zhang GF (2021) On Chebyshev accelerated iteration methods for two-by-two block linear systems. J Comput Appl Math 391:113449
Ortega JM, Rheinboldt WC (2000) Iterative solution of nonlinear equations in several variables. SIAM, Philadelphia
Rheinboldt WC (1998) Methods for solving systems of nonlinear equations. SIAM, Philadelphia
Salkuyeh DK, Siahkolaei TS (2018) Two-parameter TSCSP method for solving complex symmetric system of linear equations. Calcolo 55:1–22
Salkuyeh DK, Hezari D, Edalatpour V (2015) Generalized successive overrelaxation iterative method for a class of complex symmetric linear system of equations. Int J Comput Math 92(4):802–815
Shirilord A, Dehghan M (2022) Single step iterative method for linear system of equations with complex symmetric positive semi-definite coefficient matrices. Appl Math Comput 426:127111
Wang T, Zheng Q, Lu L (2017) A new iteration method for a class of complex symmetric linear systems. J Comput Appl Math 325:188–197
Wu Q, Chen M (2013) Convergence analysis of modified Newton-HSS method for solving systems of nonlinear equations. Numer Algorithms 64:659–683
Xiao XY, Wang X (2018) A new single-step iteration method for solving complex symmetric linear systems. Numer Algorithms 78:643–660
Xiao Y, Wu Q, Zhang Y (2021) Newton-PGSS and its improvement method for solving nonlinear systems with saddle point Jacobian matrices. J Math 2021:1–18
Xie F, Lin RF, Wu QB (2020) Modified Newton-DSS method for solving a class of systems of nonlinear equations with complex symmetric Jacobian matrices. Numer Algorithms 85:951–975
Yang AL, Wu YJ (2012) Newton-MHSS methods for solving systems of nonlinear equations with complex symmetric Jacobian matrices. Numer Algebra Control Optim 2(4):839–853
Yu X, Wu Q (2022) Modified Newton-SSTS method for solving a class of nonlinear systems with complex symmetric Jacobian matrices. Comput Appl Math 41(6):258
Zhang J, Wang Z, Zhao J (2019) Double-step scale splitting real-valued iteration method for a class of complex symmetric linear systems. Appl Math Comput 353:338–346
Zhang L, Wu QB, Chen MH et al (2021) Two new effective iteration methods for nonlinear systems with complex symmetric Jacobian matrices. Comput Appl Math 40:1–27
Zhang Y, Wu Q, Feng Y et al (2022) Modified Newton-PSBTS method for solving complex nonlinear systems with symmetric Jacobian matrices. Appl Numer Math 182:308–329
Zheng Z, Huang FL, Peng YC (2017) Double-step scale splitting iteration method for a class of complex symmetric linear systems. Appl Math Lett 73:91–97
Zhong HX, Chen GL, Guo XP (2015) On preconditioned modified Newton-MHSS method for systems of nonlinear equations with complex symmetric Jacobian matrices. Numer Algorithms 69(3):553–567
Acknowledgements
This work was supported by the National Natural Science Foundation of China (Grant No. 12271479).
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Chen, J., Yu, X. & Wu, Q. Modified Newton–CAPRESB method for solving a class of systems of nonlinear equations with complex symmetric Jacobian matrices. Comp. Appl. Math. 43, 219 (2024). https://doi.org/10.1007/s40314-024-02691-w
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DOI: https://doi.org/10.1007/s40314-024-02691-w
Keywords
- Complex nonlinear system
- Preconditioned square block (PRESB) method
- Chebyshev acceleration
- Modified Newton method
- Convergence analysis