A New Family of Methods for Solving Systems of Nonlinear Equations

A new family of iterative methods for solving systems of nonlinear equations is introduced, extending and unifying several existing approaches within a general framework. In the single-variable case, Newton’s method was accelerated using Padé approximations. This strategy is then extended to systems of nonlinear equations, leading to the construction of higher-order iteration functions with convergence orders ranging from two to four. By varying the order (p, q) of the Padé approximation, several known methods and their modifications emerge as special cases of this generalized approach. Theoretical convergence rates are established, and numerical experiments, conducted using high-precision arithmetic, confirm both the predicted behavior and improved computational efficiency across a variety of test problems.

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Publication Details

Journal
Mathematics
Published
2025-12-11
DOI
https://doi.org/10.3390/math13243945
Primary Topic
Iterative Methods for Nonlinear Equations
Type
article
Field-Weighted Citation Impact
0.00
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article

A New Family of Methods for Solving Systems of Nonlinear Equations

Vladimir Tadić, Dejana Herceg, Péter Odry
Mathematics
Iterative Methods for Nonlinear Equations
article

A New Family of Methods for Solving Systems of Nonlinear Equations

Vladimir Tadić, Dejana Herceg, Péter Odry
article en

Abstract

A new family of iterative methods for solving systems of nonlinear equations is introduced, extending and unifying several existing approaches within a general framework. In the single-variable case, Newton’s method was accelerated using Padé approximations. This strategy is then extended to systems of nonlinear equations, leading to the construction of higher-order iteration functions with convergence orders ranging from two to four. By varying the order (p, q) of the Padé approximation, several known methods and their modifications emerge as special cases of this generalized approach. Theoretical convergence rates are established, and numerical experiments, conducted using high-precision arithmetic, confirm both the predicted behavior and improved computational efficiency across a variety of test problems.

MathematicsVol. 13(24)
Obuda University (HU), University of Novi Sad (RS), Technical College of Applied Sciences (RS), University of Dunaújváros (HU)
Openalex Percentile: Top 47%
Iterative Methods for Nonlinear Equations
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