gauss-seidel interation solver in matlab

Here's the code to implement Gauss-Seidel iteration method in Matlab.

main.m
% Define the coefficient matrix
A = ...

% Define the right-hand side vector
b = ...

% Define the initial guess
x0 = ...

% Define the maximum number of iterations
max_iterations = ...

% Define the tolerance value
tolerance = ...

% Get the size of the coefficient matrix
n = size(A, 1);

% Initialize the current solution vector
x = x0;

% Initialize the iteration counter
iteration = 0;

% Iterate until the maximum number of iterations is reached or the tolerance is met
while iteration < max_iterations
    % Increase the iteration counter
    iteration = iteration + 1;

    % Iterate over all rows of the coefficient matrix
    for i = 1:n
        % Calculate the new solution for the current row
        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

    % Check if the tolerance is met
    if norm(x - x0) < tolerance
        break;
    end

    % Update the solution vector for the next iteration
    x0 = x;
end

% Display the solution vector
disp(x);
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Where A is the coefficient matrix, b is the right-hand side vector, x0 is the initial guess, max_iterations is the maximum number of iterations, and tolerance is the tolerance value that determines when to stop iterating.

The code iterates over all rows of the coefficient matrix and calculates the new solution for each row. It then checks if the tolerance is met and updates the solution vector for the next iteration. The iteration stops when the maximum number of iterations is reached or the tolerance is met. The final solution vector is displayed using the disp function.

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