A 2-Stage Implicit Runge-Kutta Method Based on Heronian Mean for Solving Ordinary Differential Equations

A. S. Olaniyan, Omolara Fatimah Bakre, M. A. Akanbi
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引用次数: 2

Abstract

In recent times, the use of different types of mean in the derivation of explicit Runge-Kutta methods had been on increase. Researchers have explored explicit Runge-Kutta methods derivation by using different types of mean such as geometric mean, harmonic mean, contra-harmonic mean, heronian mean to name but a few; as against the conventional explicit Runge-Kutta methods which was viewed as arithmetic mean. However, despite efforts to improve the derivation of explicit Runge-Kutta methods with use of other types of mean, none has deemed it fit to extend this notion to implicit Runge-Kutta methods. In this article, we present the use of heronian mean as a basis for the construction of implicit Runge-Kutta method in a way of improving the conventional method which is arithmetic mean based. Numerical results was conducted on ordinary differential equations which was compared with the conventional two-stage fourth order implicit Runge-Kutta (IRK4) method and two-stage third order diagonally implicit Runge-Kutta (DIRK3) method. The results presented confirmed that the new scheme performs better than these numerical methods. A better Qualitative properties using Dalquist test equation were established.
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基于Heronian均值的二阶隐式龙格-库塔法求解常微分方程
近年来,在显式龙格-库塔方法的推导中,越来越多地使用不同类型的平均值。研究者利用几何均值、调和均值、反调和均值、赫伦均值等不同类型的均值,探索了显式龙格-库塔方法的推导;而传统的显式龙格-库塔方法被视为算术平均值。然而,尽管人们努力使用其他类型的均值来改进显式龙格-库塔方法的推导,但没有人认为它适合将这一概念扩展到隐式龙格-库塔方法。本文在改进传统的基于算术平均的方法的基础上,提出了用赫氏平均作为构造隐式龙格-库塔方法的基础。对常微分方程进行了数值计算,并与传统的两阶段四阶隐式龙格-库塔法(IRK4)和两阶段三阶对角隐式龙格-库塔法(DIRK3)进行了比较。结果表明,新方案的性能优于现有的数值方法。利用Dalquist检验方程建立了较好的定性性质。
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CiteScore
0.60
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发文量
2
期刊介绍: The “Italian Journal of Pure and Applied Mathematics” publishes original research works containing significant results in the field of pure and applied mathematics.
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