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<p>This study focuses on an improved Newton-type iterative scheme for solving systems of nonlinear equations, which is based on a rational approximation with linear numerator and denominator (RALND) model and proposed in (Saheya et al SpringerPlus 5:1–13, 2016).&#xa0;We prove and verify the third-order convergence of this algorithm through theoretical analysis and numerical computations. Numerical experiments and application instances are conducted to demonstrate its effectiveness. The performance profile compares this method with traditional Newton’s method and another third-order convergent method, which shows that this method outperforms the traditional Newton’s method in terms of the number of iterations, and its computational efficiency is comparable to that of the third-order method. The analysis of the basin of attraction maps compares the INM method with the traditional Newton’s method and another third-order convergent method. The results demonstrate that the INM method offers superior characteristics in terms of the contour of the convergence region and the complexity of the boundary compared to the other methods.</p>

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A third-order-convergence improved Newton method and its numerical performance

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月9日

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  • Saheya Barintag,
  • Juan Hu,
  • Zhanlav Tugal,
  • Jein-Shan Chen

摘要

This study focuses on an improved Newton-type iterative scheme for solving systems of nonlinear equations, which is based on a rational approximation with linear numerator and denominator (RALND) model and proposed in (Saheya et al SpringerPlus 5:1–13, 2016). We prove and verify the third-order convergence of this algorithm through theoretical analysis and numerical computations. Numerical experiments and application instances are conducted to demonstrate its effectiveness. The performance profile compares this method with traditional Newton’s method and another third-order convergent method, which shows that this method outperforms the traditional Newton’s method in terms of the number of iterations, and its computational efficiency is comparable to that of the third-order method. The analysis of the basin of attraction maps compares the INM method with the traditional Newton’s method and another third-order convergent method. The results demonstrate that the INM method offers superior characteristics in terms of the contour of the convergence region and the complexity of the boundary compared to the other methods.