具有振荡解的线性常微分方程的三角拟合五阶四步预测校正方法

IF 0.5 Q3 MATHEMATICS
M. Salih, F. Ismail
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引用次数: 1

摘要

本文在四步Adams-Bashforth方法作为预测器和五步Adams-Moulton方法作为校正器的基础上,提出了一种三角拟合的五阶四步预测器-校正器方法来求解具有振荡解的线性常微分方程。该方法构造为精确积分初值问题,其解可以表示为集函数{sin(υx),cos(υx)}与υ∈R的线性组合,其中v表示问题频率的近似值。该方法将使用频率来提高求解的准确性。检验了所提出方法的稳定性,并描绘了相应的稳定区域。将新的五阶代数三角拟合法应用于求解涉及三角函数的初值问题。数值结果证明,该方法比目前广泛使用的数值求解具有振荡解的线性常微分方程的方法更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trigonometrically-Fitted Fifth Order Four-Step Predictor-Corrector Method for Solving Linear Ordinary Differential Equations with Oscillatory Solutions
In this paper, we proposed a trigonometrically-fitted fifth order four-step predictor-corrector method based on the four-step Adams-Bashforth method as predictor and five-step Adams-Moulton method as corrector to solve linear ordinary differential equations with oscillatory solutions. This method is constructed which exactly integrate initial value problems whose solutions can be expressed as linear combinations of the set functions {sin(υx),cos(υx)} with υ ∈ R, where v represents an approximation of the frequency of the problem. The frequency will be used in the method to raise the accuracy of the solution. Stability of the proposed method is examined and the corresponding region of stability is depicted. The new fifth algebraic order trigonometrically-fitted predictor-corrector method is applied to solve the initial value problems whose solutions involved trigonometric functions. Numerical results presented proved that the prospective method is more efficient than the widely used methods for the numerical solution of linear ordinary differential equations with oscillating solutions.
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来源期刊
CiteScore
1.10
自引率
20.00%
发文量
0
期刊介绍: The Research Bulletin of Institute for Mathematical Research (MathDigest) publishes light expository articles on mathematical sciences and research abstracts. It is published twice yearly by the Institute for Mathematical Research, Universiti Putra Malaysia. MathDigest is targeted at mathematically informed general readers on research of interest to the Institute. Articles are sought by invitation to the members, visitors and friends of the Institute. MathDigest also includes abstracts of thesis by postgraduate students of the Institute.
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