A comparative study of 4th-order and 6th-stage 5th-order Runge-Kutta methods for solving autonomous differential equations

In this study, we utilized the Sixth-Stage Fifth-Order Runge-Kutta method and the Fourth-Order Runge-Kutta (RK4) method to address First-Order Autonomous Differential Equations with Initial Value Problems (IVPs). Both methods demonstrate considerable efficacy and are well-suited for resolving challenges encountered in engineering and scientific contexts. To evaluate the accuracy of the numerical solutions obtained, we compared the approximate results with exact solutions, revealing a strong correlation between the two. Additionally, we analyzed the error terms associated with both methods and provided a comparative evaluation using a relevant example.

Authors

Publication Details

Journal
Journal of Statistical Sciences and Computational Intelligence
Published
2025-08-11
DOI
https://doi.org/10.64497/jssci.52
Citations
1
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
2.63
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article

A comparative study of 4th-order and 6th-stage 5th-order Runge-Kutta methods for solving autonomous differential equations

Auwal Lawan, Abubakar Salihu
1 citations
Journal of Statistical Sciences and Computational Intelligence
Numerical methods for differential equations
2.63
article

A comparative study of 4th-order and 6th-stage 5th-order Runge-Kutta methods for solving autonomous differential equations

Auwal Lawan, Abubakar Salihu
article en
1 citations

Abstract

In this study, we utilized the Sixth-Stage Fifth-Order Runge-Kutta method and the Fourth-Order Runge-Kutta (RK4) method to address First-Order Autonomous Differential Equations with Initial Value Problems (IVPs). Both methods demonstrate considerable efficacy and are well-suited for resolving challenges encountered in engineering and scientific contexts. To evaluate the accuracy of the numerical solutions obtained, we compared the approximate results with exact solutions, revealing a strong correlation between the two. Additionally, we analyzed the error terms associated with both methods and provided a comparative evaluation using a relevant example.

Journal of Statistical Sciences and Computational IntelligenceVol. 1(2)
Openalex Percentile: Top 10%
Numerical methods for differential equations
2.63
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A comparative study of 4th-order and 6th-stage 5th-order Runge-Kutta methods for solving autonomous differential equations — Auwal Lawan, Abubakar Salihu · Journal of Statistical Sciences and Computational Intelligence (2025) | TGRS Research Map | TGRS