Solving Nonlinear Equation Systems via a Steffensen-Type Higher-Order Method with Memory

This article introduces a multi-step solver for sets of nonlinear equations. To achieve this, we consider and develop a multi-step Steffensen-type method without memory, which does not require evaluations of the Fréchet derivatives, and subsequently extend it to a method with memory. The resulting order is 5+2, utilizing the identical number of functional evaluations as the solver without memory, thereby demonstrating a higher computational index of efficiency. Finally, we illustrate the advantages of the proposed scheme with memory through various test problems.

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Publication Details

Journal
Mathematics
Published
2024-11-22
DOI
https://doi.org/10.3390/math12233655
Primary Topic
Iterative Methods for Nonlinear Equations
Type
article
Field-Weighted Citation Impact
0.00

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article

Solving Nonlinear Equation Systems via a Steffensen-Type Higher-Order Method with Memory

Tao Liu, Shuai Wang, Stanford Shateyi, Haomiao Xian
Mathematics
Iterative Methods for Nonlinear Equations
article

Solving Nonlinear Equation Systems via a Steffensen-Type Higher-Order Method with Memory

Tao Liu, Shuai Wang, Stanford Shateyi, Haomiao Xian
article en

Abstract

This article introduces a multi-step solver for sets of nonlinear equations. To achieve this, we consider and develop a multi-step Steffensen-type method without memory, which does not require evaluations of the Fréchet derivatives, and subsequently extend it to a method with memory. The resulting order is 5+2, utilizing the identical number of functional evaluations as the solver without memory, thereby demonstrating a higher computational index of efficiency. Finally, we illustrate the advantages of the proposed scheme with memory through various test problems.

MathematicsVol. 12(23)
Beijing Normal University (CN), Changchun University (CN), University of Venda (ZA), Industrial and Commercial Bank of China (CN), Northeastern University (CN)
Natural Science Foundation of Hebei Province, Fundamental Research Funds for the Central Universities, Division of Graduate Education
Openalex Percentile: Top 67%
Iterative Methods for Nonlinear Equations
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