RIGOROUS ANALYSIS OF A HIGHLY EFFICIENT THIRD-ORDER INTEGRATOR FOR INITIAL VALUE PROBLEMS

Authors

  • Muhammad Daud Kandhro Institute of Mathematics and Computer Science, University of Sindh, Jamshoro Author
  • Sobia Vighio Government Girls Degree College Qasimabad Hyderabad, College Education Department, Government of Sindh, Pakistan. Author
  • Asad Ali khore 3Institute of Mathematics and Computer Science, University of Sindh, Jamshoro. Author

DOI:

https://doi.org/10.71146/kjmr915

Keywords:

Local Truncation Error, Stability, Consistency, Convergence

Abstract

In this paper, we have theoretically studied well-organized third order numerical technique of IVP of ODE including partial derivative that has improved its competency in light of truncation error. Theoretically, integrator method of local truncation error and convergence is studied, to determine how precise and trustworthy proposed method is. Expansion of the series of Taylor is carried out that offers suitable pattern to expand and analyze function evaluation. Local truncation error, aiding with the series developed by Taylor, is an explicitly stated error to explain the order of accuracy. Linear standard test is taken in calculating the stability. Knowing behavior of method is explored under the stability. MATLAB2023a software is used to draw stability region. Stability region is also visualized to verify that the numerical method has a solution that is limited when used repeatedly and very frequently. Consistency is demonstrated that informs us that error decreases to zero as much as we shrink step size which ensures desired outcome. Convergence criteria are theoretically discussed here by proving consistency and stability. Theoretical results proving that the numerical method is stable, achieves high accuracy and provides a reliable performance. Hence, method is effective and can be used in the general class of IVP that occur in the field of ODE.

Downloads

Download data is not yet available.

References

Ahmad, N. R. (2025). Digital transformation and competitive advantage: Leveraging AI in emerging market supply chains. Journal of Emerging Technologies and Supply Chain Management, 4(1), 72–86.

Ahmad, N. R. (2025). The impact of fintech startups on financial innovation and stability in Pakistan’s evolving financial landscape. Pakistan Journal of Financial Innovation and Technology, 3(2), 91–105.

1. Ashiribo Senapon Wusu, Moses Adebowale Akanbi and Solomon Adebola Okunuga ‘’A Three-Stage Multiderivative Explicit Runge-Kutta Method’’, American Journal of Computational Mathematics, 2013, 3, 121-126

2. Muhammad Daud Kandhro, (2026) A Highly Efficient Third-Order Integrator for Initial Value Problems -vol. 4 No. 2 (2026): (February 2026) Annual Methodological Archive Research Review

3. Owolanke, A.O., Uwaheren, O. And Obarhua, F.O. (2017) An Eight Order Two-Step TaylorSeries Algorithm for The Numerical Solutions of Initial Value Problems of Second Order Ordinary Differential Equations. Open Access Library Journal, 4: E3486.

4. Butcher, John Charles. Numerical methods for ordinary differential equations. John Wiley & Sons, 2016

5. A Third Runge Kutta Method Based on a Linear Combination of Arithmetic Mean, Harmonic Mean and Geometric Mean

6. Mukaddes Okten Turacı1, 2·Turgut ¨Ozis¸1 ‘’Derivation of Three-Derivative Runge-Kutta Methods’’ Springer Science Business Media New York 2016

7. Wazwaz, Abdul-Majid. "A modified third order Runge-Kutta method." Applied Mathematics Letters 3.3 (1990): 123-125.

8. Abdul Majid Wazwak ‘’A Modified Third Order Runge Kutta Method” Al Quds university college of science and technology (1990).

9. Rao V. Dukkipati "Numerical Methods " First Edition 2010

10. Burden, Richard L., and J. Douglas Faires. "Numerical analysis. 2001." Brooks/Cole, USA (2001).

11. Peter V. O’Neil "Advanced Engineering Mathematics" 7th edition

12. Akanbi, M.A., (2010), On 3-stage geometric explicit Runge–Kutta method for singular autonomous initial value problems in ordinary differential equations. Springer-Verlag.

13. Butcher, J.C., (1964), On Runge-Kutta processes of high Order, J. Austral. Math. Soc., 4

14. Fatunla, S.O., (1991), Numerical Methods for IVPs in ODEs. Academic Press, New York.

15. Dr Najmuddin Ahmed, Study of Numerical Accuracy of Runge-Kutta Second, Third and Fourth Order Method

16. Hairer, E . ; Narsett, S. P. and Wanner, G. (1993): Solving Ordinary Differential Equations. Ι. Nonstiff problems, Vol. 8 of Springer Series in Computational Mathematics Springer – Verlag (Berlin), Second Ed.

17. Hundsdofer , W. and Verwer , J. G. (2003) : Numerical Solution of Time dependent Advection – Diffusion – Reaction Equations , Vol. 33 of Springer Series in Computational Mathematics . Springer (Berlin)

18. Kaw, Autar; Kalu , Egwu (2008) : Numerical Methods with Applications (1st Ed.), www.autarkaw.com.

19. Runge – Kutta – Fehlberg Type Procedure on Two Nodes for Numerical Integration of Systems Differential Equations . Dumitras , Daria Elena Automat . Comput. Appl. Math, Vol. 2, pp 139 – 143, Math. Sci. Net.

20. Test results on Initial Value Methods for Non – Stiff Ordinary Differential Equations W. H. Enright; T. E. Hull SIAM Journal on Numerical Analysis, Vol. 13 No. 6. (Dec. 1976), pp 944 – 961, Jstor.

21. Verner , J. H. ( 1991 ) : Some Runge – Kutta Formula Pairs . SIAM J. Numer . Anal. Vol. 28 , No. 2 , pp 496 – 511, Math . Sci. Net.

Downloads

Published

2026-05-03

Issue

Section

Natural Sciences

Categories

How to Cite

RIGOROUS ANALYSIS OF A HIGHLY EFFICIENT THIRD-ORDER INTEGRATOR FOR INITIAL VALUE PROBLEMS. (2026). Kashf Journal of Multidisciplinary Research, 3(05), 14-22. https://doi.org/10.71146/kjmr915