International Journal of Systems Science and Applied Mathematics · 2021 · 12 citations · 11 references
Natural SciencesComputational EngineeringMathematicsComputational Fluid DynamicsComputational MechanicsDifferential EquationsConvergence AnalysisNumerical AlgorithmsNumerical AnalysisNumerical ConvergenceNumerical Methods For Differential EquationsNumerical StabilityDifferential Equation SolversDiscretizationDiscretization Error AnalysisFirst-order Difference EquationsForward Difference SchemesGrid-based DiscretizationNumerical Solutions Of Ordinary Differential EquationsOrdinary Differential Equation Solvers
In this paper, the classical fourth-order Runge-Kutta methodis presented for solving the first-order ordinary differential equation. First, the given solution domain is discretizedby using a uniform discretization grid point. Next by applyingthe forward difference method, we discretized the given ordinary differential equation. And formulating a difference equation. Then using this difference equation, the given first-order ordinary differential equation is solved by using the classicalfourth-order Runge-Kutta method at each specified grid point. To validate the applicability of the proposed method, two model examples are considered and solved at each specific grid point on its solution domain. The stability and convergent analysis of the present method is worked by supportedthe theoretical and mathematical statementsand the accuracy of the solution is obtained. The accuracy of the present methodhas been shown in the sense ofmaximumabsolute error and the local behavior of the solution is captured exactly. Numerical and exact solutions have been presented in tables and graphs and the corresponding maximumabsolute errorisalso presented in tables and graphs. The present method approximates the exact solution very well and it is quite efficient and practically well suitedfor solving first-order ordinary differential equations. The numerical result presented in tables and graphsindicates that the approximate solution is in good agreement with the exact solution. Hence the proposed method is accruable to solve ordinary differential equations.
11
Introduction to Numerical Analysis.
Carl-Erik Fröberg, Josef Stoer, Roland Bulirsch · Mathematics of Computation · 1981 · 5.5K citations
Runge-Kutta methods with minimum error bounds
Anthony Ralston · Mathematics of Computation · 1962 · 190 citations · Full text