Manuscript Number : IJSRSET207371

Solving the Linear Equation by Using Python Code

Authors(4) :-Khin Moh Moh Thin, Hla Yin Moe, Lin Lin Aye, San San Nwe

In this paper we will introduce the study of solving linear equation. Gauss-elimination and Gauss-Jordan elimination by using python code. This paper aims that students can easily and quickly calculate the linear problems by using python code. Gauss-elimination and Gauss-Jordan elimination are linking the application problem such that electrical networks, traffic flow and commodity marked. By studying this theorem, they know the important characteristics of matrices, concept of vector spaces and properties of special categories of matrices. And also they can know how to use characteristics of matrix to solve a liner system of equations or study properties of a linear transformation.

Authors and Affiliations

Khin Moh Moh Thin
Faculty of Computing, University of Computer Studies, Taungoo, Bago Division, Myanmar
Hla Yin Moe
Faculty of Computing, University of Computer Studies, Taungoo, Bago Division, Myanmar
Lin Lin Aye
Faculty of Computing, University of Computer Studies, Taungoo, Bago Division, Myanmar
San San Nwe
Faculty of Computing, University of Computer Studies, Taungoo, Bago Division, Myanmar

Linear equation, Gauss-Elimination, Gauss-Jordan Elimination, Python code, Electrical network.

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Publication Details

Published in : Volume 7 | Issue 3 | May-June 2020
Date of Publication : 2020-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 296-301
Manuscript Number : IJSRSET207371
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Khin Moh Moh Thin, Hla Yin Moe, Lin Lin Aye, San San Nwe, " Solving the Linear Equation by Using Python Code, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 3, pp.296-301, May-June-2020. Available at doi : https://doi.org/10.32628/IJSRSET207371      Journal URL : https://res.ijsrset.com/IJSRSET207371

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