solve a system of equations using gauss-seirdel interation in matlab

Here is the implementation of the Gauss-Seidel iteration method to solve a system of linear equations in MATLAB:

main.m
% A is the coefficient matrix of the system of linear equations
A = [4 -1 0; 1 5 -2; 0 -2 4];

% b is the constant vector of the system of linear equations
b = [21; -8; 20];

% Set an initial guess for the solution
x0 = [0; 0; 0];

% Maximum number of iterations
maxIter = 100;

% Tolerance for the solution
tol = 1e-6;

% Dimension of the system
n = length(b);

% Preallocate memory for the solution
x = zeros(n, 1);

% Gauss-Seidel iteration
for k = 1:maxIter
    for i = 1:n
        x(i) = (b(i) - A(i,1:i-1)*x(1:i-1) - A(i,i+1:n)*x0(i+1:n)) / A(i,i);
    end
    if norm(x - x0) < tol % Check for convergence
        break;
    end
    x0 = x; % Update the solution
end

% The solution is the vector x
x
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In this implementation, A is the coefficient matrix, b is the constant vector, x0 is the initial guess, maxIter is the maximum number of iterations, and tol is the tolerance for the solution. The algorithm starts with an initial guess for the solution, and then iteratively refines the solution until it converges to the desired tolerance or reaches the maximum number of iterations. The solution is stored in the vector x.

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