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Erschienen in: Numerical Algorithms 1/2024

05.10.2023 | Original Paper

Modified Newton-PBS method for solving a class of complex symmetric nonlinear systems

verfasst von: Yuanyuan Zhang, Qingbiao Wu, Yao Xiao, Zhewei Xie

Erschienen in: Numerical Algorithms | Ausgabe 1/2024

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Abstract

The parameterized block splitting (PBS) is a convergent and efficient iterative method to solve the large complex symmetric linear systems. In this paper, by using PBS iterative technique, the Newton equation is approximately solved, then we establish the modified Newton-PBS iterative method to solve the complex nonlinear systems whose Jacobian matrices are large, sparse, and complex symmetric. Subsequently, the local convergence analysis are explored under appropriate conditions. Ultimately, we apply the new method and several known methods to experimental numerical examples, and experimental results verify the superiority and efficiency of our new method. Especially, in terms of CPU time and iteration steps, our method is obviously better.

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Metadaten
Titel
Modified Newton-PBS method for solving a class of complex symmetric nonlinear systems
verfasst von
Yuanyuan Zhang
Qingbiao Wu
Yao Xiao
Zhewei Xie
Publikationsdatum
05.10.2023
Verlag
Springer US
Erschienen in
Numerical Algorithms / Ausgabe 1/2024
Print ISSN: 1017-1398
Elektronische ISSN: 1572-9265
DOI
https://doi.org/10.1007/s11075-023-01649-z

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