Gaussian Elimination

Version 1.1.1 (1.98 KB) by Meysam Mahooti
Systems of Linear Equations: Gaussian Elimination
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Updated 11 Jan 2020

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Gaussian elimination, also known as row reduction, is an algorithm in linear algebra for solving a system of linear equations. It is usually understood as a sequence of operations performed on the corresponding matrix of coefficients. This method can also be used to find the rank of a matrix, to calculate the determinant of a matrix, and to calculate the inverse of an invertible square matrix. The method is named after Carl Friedrich Gauss (1777–1855). The following MATLAB routine “gauss()” implements the Gauss elimination algorithm, and the program test.m is designed to solve it.

Reference:
Applied Numerical Methods Using MATLAB®
Author(s): Won Young Yang, Wenwu Cao, Tae‐Sang Chung, John Morris
First published:14 January 2005
Print ISBN:9780471698333 |Online ISBN:9780471705192 |DOI:10.1002/0471705195
Copyright © 2005 John Wiley & Sons, Inc.

Cite As

Meysam Mahooti (2024). Gaussian Elimination (https://www.mathworks.com/matlabcentral/fileexchange/73485-gaussian-elimination), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2019a
Compatible with R2019a and later releases
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Gaussian Elimination

Version Published Release Notes
1.1.1

test.m is modified to compare results with MATLAB built-in functions
1.1.0

Image has changed.
1.0.0