MATLAB Online Compiler

Run MATLAB code online with our numerical computing environment. Perfect for engineering, scientific computing, data analysis, and mathematical modeling.

matlab Online Compiler

% MATLAB Online Compiler
% Welcome to MATLAB programming environment

disp('Hello, World!');
disp('Welcome to MATLAB Online Compiler');

% Variables and basic operations
language = 'MATLAB';
version = 2024;
is_powerful = true;

fprintf('Language: %s\n', language);
fprintf('Version: %d\n', version);
fprintf('Is powerful: %d\n', is_powerful);

% Vectors and matrices
numbers = [1, 2, 3, 4, 5];
matrix_a = [1, 2; 3, 4];
matrix_b = [5, 6; 7, 8];

disp('Numbers vector:');
disp(numbers);

disp('Matrix A:');
disp(matrix_a);

disp('Matrix B:');
disp(matrix_b);

% Matrix operations
matrix_sum = matrix_a + matrix_b;
matrix_product = matrix_a * matrix_b;

disp('Matrix A + B:');
disp(matrix_sum);

disp('Matrix A * B:');
disp(matrix_product);

% Mathematical functions
x = linspace(0, 2*pi, 100);
y_sin = sin(x);
y_cos = cos(x);

fprintf('Generated %d points for sine and cosine\n', length(x));
fprintf('Max sine value: %.4f\n', max(y_sin));
fprintf('Min cosine value: %.4f\n', min(y_cos));

% Statistics
data = randn(1, 1000); % Generate random data
mean_val = mean(data);
std_val = std(data);
median_val = median(data);

fprintf('\nStatistical Analysis of Random Data:\n');
fprintf('Mean: %.4f\n', mean_val);
fprintf('Standard Deviation: %.4f\n', std_val);
fprintf('Median: %.4f\n', median_val);

% Loops and conditionals
disp('\nSquares of first 10 numbers:');
for i = 1:10
    square = i^2;
    if mod(i, 2) == 0
        fprintf('%d^2 = %d (even)\n', i, square);
    else
        fprintf('%d^2 = %d (odd)\n', i, square);
    end
end

% Function definition and usage
function result = calculate_factorial(n)
    if n <= 1
        result = 1;
    else
        result = n * calculate_factorial(n - 1);
    end
end

% Calculate factorials
disp('\nFactorials:');
for i = 1:5
    fact = calculate_factorial(i);
    fprintf('Factorial of %d: %d\n', i, fact);
end

% Polynomial operations
p = [1, -3, 2]; % represents x^2 - 3x + 2
roots_p = roots(p);
disp('\nPolynomial: x^2 - 3x + 2');
disp('Roots:');
disp(roots_p);

% Signal processing example
t = 0:0.01:1;
signal = sin(2*pi*5*t) + 0.5*sin(2*pi*10*t);
fprintf('\nGenerated signal with %d samples\n', length(signal));
fprintf('Signal range: [%.4f, %.4f]\n', min(signal), max(signal));

% Cell arrays and structures
student.name = 'John Doe';
student.age = 22;
student.grades = [85, 92, 78, 96];
student.gpa = mean(student.grades) / 20; % Convert to 4.0 scale

fprintf('\nStudent Information:\n');
fprintf('Name: %s\n', student.name);
fprintf('Age: %d\n', student.age);
fprintf('Average Grade: %.2f\n', mean(student.grades));
fprintf('GPA: %.2f\n', student.gpa);

disp('\nMATLAB computation completed successfully!');

Output

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