Numerical Approximation Method for Solving Differential Equations

This paper investigates numerical methods for solving differential equation. In this work, the continuous least square method (CLSM) was considered to find the best numerical approximation by solving differential equations. The continuous least square method (CLSM) was developed together with the L_...

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Main Author: Salisu Ibrahim
Format: Article
Language:English
Published: Tishk International University 2020-12-01
Series:Eurasian Journal of Science and Engineering
Subjects:
Online Access:https://eajse.tiu.edu.iq/index.php/volume-6-issue-2-article-13/
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author Salisu Ibrahim
author_facet Salisu Ibrahim
author_sort Salisu Ibrahim
collection DOAJ
description This paper investigates numerical methods for solving differential equation. In this work, the continuous least square method (CLSM) was considered to find the best numerical approximation by solving differential equations. The continuous least square method (CLSM) was developed together with the L_2 norm. Numerical results obtained yield minimum approximation error, provide the best approximation. Explicit results obtained are supported by examples treated with MATLAB and Wolfram Mathematica 11.
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spelling doaj.art-92ff3107745246f4b96f3b69501692cd2023-08-02T03:57:55ZengTishk International UniversityEurasian Journal of Science and Engineering2414-56292414-56022020-12-016215716810.23918/eajse.v6i2p157Numerical Approximation Method for Solving Differential EquationsSalisu Ibrahim0Department of Mathematics Education, Faculty of Education, Tishk International University, Erbil, IraqThis paper investigates numerical methods for solving differential equation. In this work, the continuous least square method (CLSM) was considered to find the best numerical approximation by solving differential equations. The continuous least square method (CLSM) was developed together with the L_2 norm. Numerical results obtained yield minimum approximation error, provide the best approximation. Explicit results obtained are supported by examples treated with MATLAB and Wolfram Mathematica 11.https://eajse.tiu.edu.iq/index.php/volume-6-issue-2-article-13/the least square method (lsm)ordinary differential equationsl_2 norm
spellingShingle Salisu Ibrahim
Numerical Approximation Method for Solving Differential Equations
Eurasian Journal of Science and Engineering
the least square method (lsm)
ordinary differential equations
l_2 norm
title Numerical Approximation Method for Solving Differential Equations
title_full Numerical Approximation Method for Solving Differential Equations
title_fullStr Numerical Approximation Method for Solving Differential Equations
title_full_unstemmed Numerical Approximation Method for Solving Differential Equations
title_short Numerical Approximation Method for Solving Differential Equations
title_sort numerical approximation method for solving differential equations
topic the least square method (lsm)
ordinary differential equations
l_2 norm
url https://eajse.tiu.edu.iq/index.php/volume-6-issue-2-article-13/
work_keys_str_mv AT salisuibrahim numericalapproximationmethodforsolvingdifferentialequations