# MATLAB Code Generator

## What Is MATLAB Code Generator?

An AI MATLAB Code Generator is a modern online tool that uses generative artificial intelligence, machine learning, and natural language processing to create specific MATLAB code based on what you need. This generator is designed for people who want quick coding solutions without getting stuck in the details of programming.

The process is simple and follows three clear steps:

- Input: You tell the tool what you want the code to do.
- Processing: The tool looks at your input and creates the related MATLAB code using its AI features.
- Output: You get the finished code, ready to use or customize further.

## How Does Minary’s MATLAB Code Generator Work?

After writing your prompt, just click the “Generate” button. The generator processes your input and quickly shows the related MATLAB code on the right side of the screen. You can easily copy the code by clicking the “Copy” button at the bottom, making it simple to transfer into your MATLAB environment.

You can also provide feedback on the generated code using the vote buttons directly below the output. If the code meets your expectations, a quick thumbs-up helps encourage improvement. If it doesn’t work as you hoped, a thumbs-down shows that it needs improvement. This feedback is important; it helps train the AI to keep getting better.

For effective prompts, consider these examples:

1. “Create a MATLAB function that calculates the Fibonacci sequence up to a given number.”

2. “Generate a script that plots a 3D surface graph for the function z = x^2 + y^2.”

3. “Write a code snippet to implement the k-means clustering algorithm on a dataset.”

Each clear prompt helps the generator create relevant and well-suited code for your specific needs.

## Examples Of Generated MATLAB Code

function randomMazeSolver()

% Parameters

mazeSize = [21, 21]; % Maze size must be odd numbers

entrance = [1, 2];

exit = [mazeSize(1), mazeSize(2)-1];

% Generate random maze

maze = generateMaze(mazeSize);

% Solve the maze

[path, found] = depthFirstSearch(maze, entrance, exit);

% Display the maze

displayMaze(maze, path, found, entrance, exit);

end

function maze = generateMaze(size)

% Initialize maze with walls (1s)

maze = ones(size);

% Randomly carve paths

for i = 2:2:size(1)-1

for j = 2:2:size(2)-1

maze(i,j) = 0; % open space

dir = randi([0 3]); % random direction

if dir == 0 && j > 1 % Up

maze(i-1,j) = 0;

elseif dir == 1 && i < size(1)-2 % Down
maze(i+1,j) = 0;
elseif dir == 2 && j < size(2)-2 % Right
maze(i,j+1) = 0;
elseif dir == 3 && j > 1 % Left

maze(i,j-1) = 0;

end

end

end

% Ensure entrance and exit are open

maze(1,2) = 0;

maze(end, end-1) = 0;

end

function [path, found] = depthFirstSearch(maze, start, goal)

stack = {start}; % Stack for DFS

visited = containers.Map(‘KeyType’, ‘char’, ‘ValueType’, ‘any’);

parent = containers.Map(‘KeyType’, ‘char’, ‘ValueType’, ‘any’);

found = false;

path = [];

while ~isempty(stack)

current = stack{end}; stack(end) = []; % Pop the last element

x = current(1); y = current(2);

if visited.isKey(mat2str(current))

continue; % Already visited

end

visited(mat2str(current)) = true; % Mark as visited

if all(current == goal)

found = true;

break; % Exit if goal is reached

end

% Explore neighboring cells (up, down, left, right)

neighbors = [x-1, y; x+1, y; x, y-1; x, y+1];

for i = 1:size(neighbors,1)

n = neighbors(i,:);

if maze(n(1), n(2)) == 0 && ~visited.isKey(mat2str(n))

stack{end+1} = n; % Push to stack

parent(mat2str(n)) = current; % Track parent

end

end

end

if found

% Trace back path from goal to start

while ~isempty(parent)

path(end+1, 🙂 = goal;

goal = parent(mat2str(goal));

if isempty(goal)

break;

end

end

path = flipud(path);

end

end

function displayMaze(maze, path, found, entrance, exit)

% Create a color mapped image of the maze

mazeImage = 255 * ones(size(maze)); % white background

mazeImage(maze == 1) = 0; % walls (black)

mazeImage(entrance(1), entrance(2)) = 128; % entrance (gray)

mazeImage(exit(1), exit(2)) = 64; % exit (dark gray)

if found

% Mark solution path

for i = 1:size(path, 1)

mazeImage(path(i, 1), path(i, 2)) = 255; % mark path (white)

end

end

% Display the maze

imshow(mazeImage, ‘InitialMagnification’, ‘fit’);

colormap(gray(256));

title(‘Random Maze with Depth-First Search Solution’);

end

% Run the maze solver

randomMazeSolver();

“`

function generateRandomPassword()

% Prompt for the desired length of the password

passwordLength = input(‘Enter the desired length of the password: ‘);

% Check if the input is valid

if ~isnumeric(passwordLength) || passwordLength <= 0
disp('Please enter a valid positive integer for the password length.');
return;
end
% Define the character sets
upperCaseLetters = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ';
lowerCaseLetters = 'abcdefghijklmnopqrstuvwxyz';
digits = '0123456789';
specialCharacters = '!@#$%^&*()_-+=[]{}|;:,.<>?’;

% Combine all characters

allCharacters = [upperCaseLetters, lowerCaseLetters, digits, specialCharacters];

% Ensure the password contains at least one character from each category

password = [

upperCaseLetters(randi(length(upperCaseLetters), 1, 1)), …

lowerCaseLetters(randi(length(lowerCaseLetters), 1, 1)), …

digits(randi(length(digits), 1, 1)), …

specialCharacters(randi(length(specialCharacters), 1, 1))

];

% Generate the remaining characters randomly

if passwordLength > 4

remainingLength = passwordLength – 4;

password = [password, allCharacters(randi(length(allCharacters), 1, remainingLength))];

end

% Shuffle the password to ensure randomness

password = password(randperm(length(password)));

% Display the generated password

disp([‘Generated Password: ‘, password]);

end

“`