A Modified Twentieth-Order Iterative Method for Solving Nonlinear Physicochemical Models: Convergence, Physical Models and Basin of Attraction Analysis

Authors

  • Sanaullah Jamali Department of Mathematics, University of Sindh, Laar Campus, Badin, Sindh, Pakistan
  • Zubair Ahmed Kalhoro Institute of Mathematics and Computer Science, University of Sindh, Jamshoro-76080, Sindh, Pakistan
  • Saifullah Jamali Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
  • Baddar ul ddin Jamali Dr. M.A. Kazi Institute of Chemistry, University of Sindh, Jamshoro-76080, Sindh, Pakistan
  • Abdul Wasim Shaikh Institute of Mathematics and Computer Science, University of Sindh, Jamshoro-76080, Sindh, Pakistan
  • Muhammad Saleem Chandio Institute of Mathematics and Computer Science, University of Sindh, Jamshoro-76080, Sindh, Pakistan

DOI:

https://doi.org/10.53560/PPASA(62-4)699

Keywords:

Nonlinear Physicochemical Models, Iterative Method, Convergence Analysis, Weight Function, Hermite Interpolation, Basin of Attraction

Abstract

This paper introduces a modified twentieth-order method for solving nonlinear equations that commonly arise in physicochemical models. The proposed method is designed to efficiently handle the complex problems that normally occur in the van der Waals equation for real gases, Planck’s radiation law, and chemical equilibrium conditions. The traditional method has a lower order of convergence and uses higher-order derivatives. However, proposed method has twentieth-order convergence with only one first derivative used in each iteration. A detailed convergence order has been carried out to demonstrate the theoretical order of accuracy. Various numerical experiments have also been carried out to validate the performance of the proposed method. The results show the significantly improve the accuracy and taking a smaller number of iterations, number of function evaluations, and CPU time when applied to nonlinear equations arises in van der Waals equation for real gases, Planck’s radiation law, and chemical equilibrium conditions and basin of attraction further validate the stability of proposed method.

References

1. H. Susanto and N. Karjanto. Newton’s method’s basins of attraction revisited. Applied Mathematics and Computation 215(3): 1084-1090 (2009).

2. M. Grau and J.L. Díaz-Barrero. An improvement to Ostrowski root-finding method. Applied Mathematics and Computation 173(1): 450-456 (2006).

3. F.A. Lakho, Z.A. Kalhoro, S. Jamali, A.W. Shaikh, and J. Guan. A three steps seventh order iterative method for solution nonlinear equation using Lagrange Interpolation technique. VFAST Transactions on Mathematics 12(1): 46-59 (2024).

4. Z. Abbasi, Z.A. Kalhoro, S. Jamali, A.W. Shaikh, and O.A. Rajput. A novel approach for real-world problems based on Hermite interpolation technique and analysis using basins of attraction. Science 5(3): 112-126 (2024).

5. S. Jamali, Z.A. Kalhoro, and I.Q. Memon. An efficient four step fifteenth order method for solution of non-linear models in real-world problems. Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences 61(3): 273-281 (2024).

6. A.S. Alshomrani, R. Behl, and V. Kanwar. An optimal reconstruction of Chebyshev–Halley type methods for nonlinear equations having multiple zeros. Journal of Computational and Applied Mathematics 354: 651-662 (2019).

7. M.U.D. Junjua, F. Zafar, and N. Yasmin. Optimal derivative-free root finding methods based on inverse interpolation. Mathematics 7(2): 164 (2019).

8. O. Said Solaiman and I. Hashim. Efficacy of optimal methods for nonlinear equations with chemical engineering applications. Mathematical Problems in Engineering 2019: 1728965 (2019).

9. V. Kodnyanko. Improved bracketing parabolic method for numerical solution of nonlinear equations. Applied Mathematics and Computation 400: 125995 (2021).

10. B.M. Faraj, S.K. Rahman, D.A. Mohammed, B.M. Hussein, B.A. Salam, and K.R. Mohammed. An improved bracketing method for numerical solution of nonlinear equations based on Ridders method. Matrix Science Mathematics 6(2): 30-33 (2022).

11. S. Jamali, Z.A. Kalhoro, A.W. Shaikh, and M.S. Chandio. An iterative, bracketing & derivative-free method for numerical solution of non-linear equations using Stirling interpolation technique. Journal of Mechanics of Continua and Mathematical Sciences 16(6): 13-27 (2021).

12. A. Suhadolnik. Combined bracketing methods for solving nonlinear equations. Applied Mathematics Letters 25(11): 1755-1760 (2012).

13. M.I. Soomro, Z.A. Kalhoro, A.W. Shaikh, S. Jamali, and O. Ali. Modified bracketing iterative method for solving nonlinear equations. VFAST Transactions on Mathematics 12(1): 105-120 (2024).

14. A. Cordero, N. Garrido, J.R. Torregrosa, P. Triguero-Navarro, M. Moscoso-Martínez, and J.R. Torregrosa. Three-step iterative weight function scheme with memory for solving nonlinear problems. Mathematical Methods in the Applied Sciences 48(7): 8024-8036 (2023).

15. S. Jamali, Z.A. Kalhoro, A.W. Shaikh, M.S. Chandio, and S. Dehraj. A new three step derivative free method using weight function for numerical solution of non-linear equations arises in application problems. VFAST Transactions on Mathematics 10(2): 164-174 (2022).

16. M.Q. Khirallah and A.M. Alkhomsan. A new fifth-order iterative method for solving non-linear equations using weight function technique and the basins of attraction. Journal of Mathematics and Computer Science 28(3): 281-293 (2023).

17. M. Kumar, A.K. Singh, and A. Srivastava. Various Newton-type iterative methods for solving nonlinear equations. Journal of the Egyptian Mathematical Society 21(3): 334-339 (2013).

18. R. Thukral. Two-step iterative methods with sixth-order convergence for solving nonlinear equations. British Journal of Mathematics and Computer Science 4(14): 1941-1950 (2014).

19. A. Naseem, M.A. Rehman, and T. Abdeljawad. Numerical methods with engineering applications and their visual analysis via polynomiography. IEEE Access 9: 99287 (2016).

20. A. Naseem, M.A. Rehman, and T. Abdeljawad. Computational methods for non-linear equations with some real-world applications and their graphical analysis. Intelligent Automation and Soft Computing 30(3): 805-819 (2021).

21. A. Naseem, M.A. Rehman, and T. Abdeljawad. Real-world applications of a newly designed root-finding algorithm and its polynomiography. IEEE Access 9: 160868 (2021).

22. D. Jain. Families of Newton-like methods with fourth-order convergence. International Journal of Computer Mathematics 90(5): 1072-1082 (2013).

23. P. Sivakumar and J. Jayaraman. Some new higher order weighted Newton methods for solving nonlinear equation with applications. Mathematical and Computational Applications 24(2): 59 (2019).

24. F. Soleymani. Efficient optimal eighth-order derivative-free methods for nonlinear equations. Japan Journal of Industrial and Applied Mathematics 30(2): 287-306 (2013).

25. I.K. Argyros, M. Kansal, V. Kanwar, and S. Bajaj. Higher-order derivative-free families of Chebyshev–Halley type methods with or without memory for solving nonlinear equations. Applied Mathematics and Computation 315: 224-245 (2017).

26. J. Li, X. Wang, and K. Madhu. Higher-order derivative-free iterative methods for solving nonlinear equations and their basins of attraction. Mathematics 7(1): 1052 (2019).

27. R. Meghwar, Z.A. Kalhoro, and S. Jamali. Computationally Efficient Three-Step Derivative-Free Iterative Scheme for Nonlinear Algebraic and Transcendental Equations. Quest Research Journal 23(01): 38-45 (2025).

Published

2025-12-18

How to Cite

Jamali, S., Zubair Ahmed Kalhoro, Saifullah Jamali, Baddar ul ddin Jamali, Abdul Wasim Shaikh, & Muhammad Saleem Chandio. (2025). A Modified Twentieth-Order Iterative Method for Solving Nonlinear Physicochemical Models: Convergence, Physical Models and Basin of Attraction Analysis. Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences, 62(4). https://doi.org/10.53560/PPASA(62-4)699

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