gaussian elimination using rref in matlab

To perform Gaussian elimination and obtain the reduced row echelon form (rref) of a matrix in MATLAB, you can use the built-in function rref. The syntax is as follows:

main.m
% A is the coefficient matrix of the system of linear equations
% b is the constant vector of the system of linear equations
% [A, b] is the augmented matrix of the system of linear equations
rref([A, b])
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Here is an example code snippet that demonstrates how to solve a system of linear equations using Gaussian elimination in MATLAB:

main.m
% Define the coefficient matrix A and constant vector b
A = [1 2 -1; 3 1 2; 4 3 -1];
b = [5; 12; 2];

% Augment A and b to form the augmented matrix
Ab = [A, b];

% Compute the rref of the augmented matrix to obtain the solution
x = rref(Ab);

% Extract the solution from the last column of the rref matrix
% x(1, 4) is the solution for x1, x(2, 4) is the solution for x2, and x(3, 4) is the solution for x3
x = x(:, end);
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In this example, we first define the coefficient matrix A and constant vector b for the system of linear equations. We then augment A and b to form the augmented matrix Ab. We then use rref to compute the reduced row echelon form of Ab, which gives us the solution to the system of linear equations. Finally, we extract the solution from the last column of the rref matrix.

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