Investigation of a one-step hybrid algorithm towards the solution of first order linear and nonlinear initial-value problems of ordinary differential equations (FOLNIVP)

N. Kamoh, B.C. Dang, M. C. Soomiyol
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Abstract

The aim of developing any numerical method is to complement the challenges inherent in obtaining the analytical solution of a differential equation, if at all a closed form solution does exist. In this study we present a one-step implicit code of order eight block algorithms for the purpose of utilizing data at points other than a whole step number. The major advantage of hybrid method is that they possess remarkably small error constants which translate to better approximation. These methods constitute a class of methods whose computational potentialities have probably not yet been fully exploited. Therefore, the performance of the derived block hybrid algorithm is investigated using some numerical examples for the purpose of demonstrating its validity and applicability. The results obtained revealed that the algorithm is suitable for solving first order linear and nonlinear initial value problems (IVPs) of ordinary differential equations.
研究解决一阶线性和非线性常微分方程初值问题(FOLNIVP)的一步混合算法
开发任何数值方法的目的都是为了补充在获取微分方程解析解(如果存在闭式解的话)过程中所面临的挑战。在本研究中,我们提出了一种一步隐式代码的八阶块算法,用于利用整步数以外点的数据。混合方法的主要优点是误差常量非常小,因而近似性更好。这些方法是一类计算潜力可能尚未得到充分开发的方法。因此,为了证明其有效性和适用性,我们使用一些数值示例对衍生的块混合算法的性能进行了研究。研究结果表明,该算法适用于求解常微分方程的一阶线性和非线性初值问题(IVP)。
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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