NUMERICAL COMPUTATIONS OF GENERAL NON-LINEAR SECOND ORDER INITIAL VALUE PROBLEMS BY USING MODIFIED RUNGE-KUTTA METHOD

Nazrul Islam, Md. Shorif Hossan, Md. Parvez Mosharaf, Md. Rayhan Prodhan
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Abstract

Numerical solution of ordinary differential equations is the most important technique which is widely used for mathematical modelling in science and engineering. The differential equation that describes the problem is typically too complex to precisely solve in real-world circumstances. Since most ordinary differential equations are not solvable analytically, numerical computations are the only way to obtain information about the solution. Many different methods have been proposed and used is an attempt to solve accurately various types of ordinary differential equations. Among them, Runge-Kutta is a well-known and popular method because of their good efficiency. This paper contains an analysis for the computations of the modified Runge-Kutta method for nonlinear second order initial value problems. This method is wide quite efficient and practically well suited for solving linear and non-linear problems. In order to verify the accuracy, we compare numerical solution with the exact solution. We also compare the performance and the computational effort of this method. In order to achieve higher accuracy in the solution, the step size needs to be small. Finally, we take some examples of non-linear initial value problems (IVPs) to verify proposed method. The results of that example indicate that the convergence, stability analysis, and error analysis which are discussed to determine the efficiency of the method.
用修正龙格-库塔法数值计算一般非线性二阶初值问题
常微分方程的数值解是科学和工程数学建模中广泛应用的最重要的技术。描述该问题的微分方程通常过于复杂,无法在现实环境中精确求解。由于大多数常微分方程不能解析解,数值计算是获得解信息的唯一途径。人们提出了许多不同的方法,并尝试使用这些方法来精确地求解各种类型的常微分方程。其中,龙格-库塔法因其效率高而闻名于世。本文分析了非线性二阶初值问题的修正龙格-库塔法的计算方法。该方法适用范围广,效率高,适用于求解线性和非线性问题。为了验证其准确性,我们将数值解与精确解进行了比较。我们还比较了该方法的性能和计算量。为了在解中获得更高的精度,步长需要小。最后,我们以非线性初值问题(IVPs)为例验证了所提出的方法。算例结果表明,本文讨论了该方法的收敛性、稳定性和误差分析,从而确定了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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