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Volume 6, Issue 3, September 2020, Page: 49-53
Solution of Lagrange’s Linear Differential Equation Using Matlab
Abdel Radi Abdel Rahman Abdel Gadir, Department of Mathematics, Faculty of Education, Omdurman Islamic University, Omdurman, Sudan
Neama Yahia Mohammed, Department of Mathematics, College of Science, Tabuk University, Tabuk, Saudi Arabia
Marwa Eltayb Abu Elgasim Msis, Researcher in Faculty of Post Graduate Studies, Omdurman Islamic University, Omdurman, Sudan
Received: Jul. 7, 2020;       Accepted: Aug. 14, 2020;       Published: Sep. 16, 2020
Abstract
MATLAB, which stands for Matrix Laboratory, is a software package developed by Math Works, Inc. to facilitate numerical computations as well as some symbolic manipulation. It strikes us as being slightly more difficult to begin working with it than such packages as Maple, Mathematica, and Macsyma, though once you get comfortable with it, it offers greater flexibility. The main point of using it is that it is currently the package you will most likely found yourself working with if you get a job in engineering or industrial mathematics. So we found that the Matlab method in differential equations is very important and useful mathematical tools which help us to solve and plot differential equations. The aims of this paper is to solve Lagrange’s Linear differential equations and compare between manual and Matlab solution such that the Matlab solution is one of the most famous mathematical programs in solving mathematical problems. We followed the applied mathematical method using Matlab and we compared between the two solutions whence accuracy and speed. Also we explained that the solution of Matlab is more accuracy and speed than the manual solution which proves the aptitude the usage of Matlab in different mathematical methods.
Keywords
Solution, Lagrange, Linear Differential Equation, Matlab
Abdel Radi Abdel Rahman Abdel Gadir, Neama Yahia Mohammed, Marwa Eltayb Abu Elgasim Msis, Solution of Lagrange’s Linear Differential Equation Using Matlab, International Journal of Applied Mathematics and Theoretical Physics. Special Issue: Computational Mathematics. Vol. 6, No. 3, 2020, pp. 49-53. doi: 10.11648/j.ijamtp.20200603.13
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