Circumventing Ill-Conditioning Arising from Using Linear Multistep Methods in Approximating the Solution of Initial Value Problems

When finding numerical solutions to stiff and nonstiff initial value problems using linear multistep methods, ill-conditioned systems are often encountered. In this paper, we demonstrate how this ill-conditioning can be circumvented without iterative refinement or preconditioning, by carefully choos...

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Main Authors: Richard Olatokunbo Akinola, Ali Shokri, Shao-Wen Yao, Stephen Yakubu Kutchin
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/16/2910
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author Richard Olatokunbo Akinola
Ali Shokri
Shao-Wen Yao
Stephen Yakubu Kutchin
author_facet Richard Olatokunbo Akinola
Ali Shokri
Shao-Wen Yao
Stephen Yakubu Kutchin
author_sort Richard Olatokunbo Akinola
collection DOAJ
description When finding numerical solutions to stiff and nonstiff initial value problems using linear multistep methods, ill-conditioned systems are often encountered. In this paper, we demonstrate how this ill-conditioning can be circumvented without iterative refinement or preconditioning, by carefully choosing the grid point used in deriving the discrete scheme from the continuous formulation. Results of numerical experiments show that the new scheme perform very well when compared with the exact solution and results from an earlier scheme.
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spelling doaj.art-7ec26cf92d4a4009982acf0c36edd45f2023-12-03T14:03:21ZengMDPI AGMathematics2227-73902022-08-011016291010.3390/math10162910Circumventing Ill-Conditioning Arising from Using Linear Multistep Methods in Approximating the Solution of Initial Value ProblemsRichard Olatokunbo Akinola0Ali Shokri1Shao-Wen Yao2Stephen Yakubu Kutchin3Department of Mathematics, Faculty of Natural Sciences, University of Jos, Jos 930105, NigeriaDepartment of Science, Faculty of Science, University of Maragheh, Maragheh 83111-55181, IranSchool of Mathematics and Information Science, Henan Polytechnic University, Jiaozuo 454000, ChinaDepartment of Mathematics, Faculty of Natural Sciences, University of Jos, Jos 930105, NigeriaWhen finding numerical solutions to stiff and nonstiff initial value problems using linear multistep methods, ill-conditioned systems are often encountered. In this paper, we demonstrate how this ill-conditioning can be circumvented without iterative refinement or preconditioning, by carefully choosing the grid point used in deriving the discrete scheme from the continuous formulation. Results of numerical experiments show that the new scheme perform very well when compared with the exact solution and results from an earlier scheme.https://www.mdpi.com/2227-7390/10/16/2910ill-conditioninglinear multistep methodsorder(non)singularityunderdetermined
spellingShingle Richard Olatokunbo Akinola
Ali Shokri
Shao-Wen Yao
Stephen Yakubu Kutchin
Circumventing Ill-Conditioning Arising from Using Linear Multistep Methods in Approximating the Solution of Initial Value Problems
Mathematics
ill-conditioning
linear multistep methods
order
(non)singularity
underdetermined
title Circumventing Ill-Conditioning Arising from Using Linear Multistep Methods in Approximating the Solution of Initial Value Problems
title_full Circumventing Ill-Conditioning Arising from Using Linear Multistep Methods in Approximating the Solution of Initial Value Problems
title_fullStr Circumventing Ill-Conditioning Arising from Using Linear Multistep Methods in Approximating the Solution of Initial Value Problems
title_full_unstemmed Circumventing Ill-Conditioning Arising from Using Linear Multistep Methods in Approximating the Solution of Initial Value Problems
title_short Circumventing Ill-Conditioning Arising from Using Linear Multistep Methods in Approximating the Solution of Initial Value Problems
title_sort circumventing ill conditioning arising from using linear multistep methods in approximating the solution of initial value problems
topic ill-conditioning
linear multistep methods
order
(non)singularity
underdetermined
url https://www.mdpi.com/2227-7390/10/16/2910
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