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Open Access Research Article

A new variant of trapezoidal technique for simulation of nonlinear equations

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pp. 2601–2606Vol. 47Issue 7July 2026DOI: 10.47974/JIOS-2152XML
Received:
01 Jul 2025
Published Online:
02 Jun 2026
Article type:
Research Article
Language:
EN
Article no.:
JIOS-2152
Pages:
2601–2606

Abstract

Nonlinear equations arise in many fields of science and engineering. Solving these equations numerically is often challenging due to their complex nature. Finding roots of nonlinear equations is challenging in numerical analysis. Analytical solutions to nonlinear equations are often intractable necessitating the use of numerical methods. In this paper, we proposed a newly iterative technique for simulation of nonlinear equations based on trapezoidal rule of integration. Theoretical analysis and numerical experiments demonstrate and effectiveness of newly proposed iterative technique for solving a wide range of nonlinear problems. When working with certain higher order functions, the suggested approach greatly improves the trapezoidal rule and gets outcomes the error value problem, even when solving for a single interval. This provides grounds for confidence in the proposed method and provides the prospect for further refinement in future work.

Keywords

Subject Classifications

65A0565D0565D3065D32

References

[1] S. C. Chapra and R. P. Canale, Numerical Methods for Engineers, 7th ed. New York, NY, USA: McGraw-Hill, pp. 605–615 (2015).
[2] B. Fornberg, “Improving the accuracy of the trapezoidal rule,” SIAM Review, vol. 63, no. 1, pp. 167–180 (2021).
[3] L. N. Trefethen and J. A. C. Weideman, “The exponentially convergent trapezoidal rule,” SIAM Review, vol. 56, no. 3, pp. 385–458 (2014).
[4] D. H. Bailey and J. M. Borwein, “High-precision numerical integration: Progress and challenges,” Journal of Symbolic Computation, vol. 46, no. 7, pp. 741–754 (2011).
[5] A. Halder and S. Nikita, “Contrast enhancement algorithm using definite integration mathematical method trapezoidal rule,” in Proc. Int. Conf. Frontiers in Computing and Systems. Singapore: Springer (2021).
[6] J. Madhu, M. Gupta, and N. K. Jain, “Design of half sample delay recursive digital integrators using trapezoidal integration rule,” Int. J. Signal and Imaging Systems Engineering, vol. 9, no. 2, pp. 126–134 (2016).
[7] L. Jin and H. Ren, “Error expansion of trapezoidal rule for certain two-dimensional Cauchy principal value integrals,” Computers & Mathematics with Applications, vol. 74, no. 10, pp. 2608–2637 (2017).
[8] H. Matthew and P. O. (Paul O.), “Trapezoidal rule and its error analysis for the Grünwald-Letnikov operator,” Int. J. Dynamics and Control, vol. 5, no. 1, pp. 18–29 (2017).
[9] D. H. Allawi and M. A. K. Shiker, “A modified technique of spectral gradient projection method for solving nonlinear equations systems,” Journal of Interdisciplinary Mathematics, vol. 27, no. 4, pp. 655–665 (2024).
[10] Inderjeet and R. Bhardwaj, “Numerical simulation of nonlinear equation by converting quadrature rule to iterative technique,” Journal of Interdisciplinary Mathematics, vol. 28, no. 5, pp. 1837–1845 (2025).
[11] Inderjeet and R. Bhardwaj, “An integrated approach of the numerical simulation of nonlinear equations by modified bisection and regula falsi method,” Journal of Interdisciplinary Mathematics, vol. 28, no. 4, pp. 1553–1571 (2025).
[12] Inderjeet and R. Bhardwaj, “Numerical simulation of nonlinear equations by modified bisection & regula falsi method,” Proc. Pakistan Academy of Sciences: A. Physical and Computational Sciences, vol. 62, no. 1, p. 873 (2025).
[13] Inderjeet and R. Bhardwaj, “A new iterative Newton Raphson technique for the numerical simulation of nonlinear equations,” Journal of Integrated Science and Technology, vol. 13, no. 4, p. 1080 (2025).
[14] Inderjeet and R. Bhardwaj, “Newton Raphson based iterative method for simulating nonlinear equations,” International Research Journal of Multidisciplinary Scope, vol. 6, no. 1, pp. 857–866 (2025).
[15] Inderjeet and R. Bhardwaj, “A new variant of secant technique for simulation of nonlinear equations,” Journal of Interdisciplinary Mathematics, vol. 28, no. 8, pp. 2867–2876 (2025).
[16] Inderjeet and R. Bhardwaj, “Numerical simulations of non-linear equations by modified secant method,” Boletim da Sociedade Paranaense de Matematica, vol. 43, no. 2, pp. 1–10 (2025).
[17] Inderjeet and R. Bhardwaj, “An improved class of Newton Raphson method for the numerical simulation of nonlinear equations,” Palestine Journal of Mathematics, vol. 14, no. 4, pp. 104–108 (2025).

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