generate a code in matlab and app designer that implements the star algorithm to solve a maze that is a 10 x 10 matrix in matlab

main.m
function GenerateMazeButtonPushed(app, event)
    % Generate a 10 x 10 random maze
    maze = randi([0 1], 10, 10);
    
    % Display the maze in the uitable
    app.mazeTable.Data = maze;
    
    % Store the maze in the app data
    app.Data.maze = maze;
end
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main.m
function SolveMazeButtonPushed(app, event)
    % Check if a maze has been generated
    if ~isfield(app.Data, 'maze')
        msgbox('Please generate a maze first', 'Error', 'error');
        return;
    end
    
    % Get the maze from the app data
    maze = app.Data.maze;
    
    % Get the start and end points of the maze
    [start, goal] = FindStartAndGoal(maze);
    
    % Run the Star algorithm to find a path from start to goal
    [path, numExpanded] = runStar(maze, start, goal);
    
    % Update the maze in the uitable to highlight the path
    for i = 1:length(path)
        app.mazeTable.Data(path(i,1), path(i,2)) = -1;
    end
    
    % Display the number of nodes expanded by the algorithm
    msgbox(sprintf('%d nodes expanded', numExpanded), 'Success');
    
    % Remove the maze from the app data
    app.Data = rmfield(app.Data, 'maze');
end
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main.m
function [start, goal] = FindStartAndGoal(maze)
    % Find the start and end points of the maze
    [r, c] = find(maze == 2);
    start = [r, c];
    [r, c] = find(maze == 3);
    goal = [r, c];
end

function [path, numExpanded] = runStar(maze, start, goal)
    % Define the heuristic function
    heuristicFcn = @(p1, p2) norm(p1 - p2);
    
    % Create a grid representation of the maze
    gridSize = size(maze);
    [X,Y] = meshgrid(1:gridSize(2), 1:gridSize(1));
    nodes = [X(:), Y(:)];
    obstacleIdx = find(maze(:) == 1);
    nodes(obstacleIdx, :) = [];
    
    % Create a graph representation of the maze
    G = delaunayGraph(nodes);
    weights = diag(sqrt(sum((G.Nodes{:, :} - G.Nodes{goal, :}).^2, 2)));
    G = addedge(G, goal, 1, weights);
    
    % Create the start and goal nodes
    startNode = numel(nodes) + 1;
    G = addnode(G, 1);
    G.Nodes{startNode, :} = start;
    
    % Run the A* algorithm
    [path, numExpanded] = AStar(G, startNode, 1, 'HEURISTIC', heuristicFcn);
    
    % Remove the start and goal nodes from the path
    path = path(path ~= startNode & path ~= 1);
end
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