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Optimized Hybrid Block Adams Method for Solving First Order Ordinary Differential Equations

作     者:Hira Soomro Nooraini Zainuddin Hanita Daud Joshua Sunday 

作者机构:Department of Fundamental and Applied SciencesUniversiti Teknologi PETRONAS32610Seri IskandarPerakMalaysia Department of MathematicsUniversity of Jos930003JosNigeria 

出 版 物:《Computers, Materials & Continua》 (计算机、材料和连续体(英文))

年 卷 期:2022年第72卷第8期

页      面:2947-2961页

核心收录:

学科分类:07[理学] 0701[理学-数学] 

基  金:This research was funded by Fundamental Research Grant Scheme(FRGS)under the Ministry of Higher Education Malaysia grant number with project ref:FRGS/1/2019/STG06/UTP/03/2. 

主  题:Initial value problem(IVPs) linear multi-step method block interpolation hybrid Adams-Moulton method 

摘      要:Multistep integration methods are being extensively used in the simulations of high dimensional systems due to their lower computational cost.The block methods were developed with the intent of obtaining numerical results on numerous points at a time and improving computational efficiency.Hybrid block methods for instance are specifically used in numerical integration of initial value problems.In this paper,an optimized hybrid block Adams block method is designed for the solutions of linear and nonlinear first-order initial value problems in ordinary differential equations(ODEs).In deriving themethod,the Lagrange interpolation polynomial was employed based on some data points to replace the differential equation function and it was integrated over a specified interval.Furthermore,the convergence properties along with the region of stability of the method were examined.It was concluded that the newly derived method is convergent,consistent,and zero-stable.The method was also found to be A-stable implying that it covers the whole of the left/negative half plane.From the numerical computations of absolute errors carried out using the newly derived method,it was found that the method performed better than the ones with which we compared our results with.Themethod also showed its superiority over the existing methods in terms of stability and convergence.

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