create a function that will perform newton's method in matlab

Here is an example of a function that performs Newton's method in MATLAB:

main.m
function [root, iter] = newtonsMethod(f, df, x0, tol, max_iter)
% Inputs:
%   f: function handle of the equation
%   df: function handle of the derivative of the equation
%   x0: initial guess
%   tol: tolerance value for convergence
%   max_iter: maximum number of iterations
% Outputs:
%   root: the root of the equation
%   iter: number of iterations

% Initialize variables
iter = 0;
x = x0;

% Perform iterations until convergence or maximum iterations reached
while abs(f(x)) > tol && iter < max_iter
    x = x - f(x)/df(x); % Perform Newton's method update
    iter = iter + 1;
end

root = x;

end
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To use the function, you need to define your equation f(x) and its derivative df(x) as separate functions in MATLAB. Then, you can call the newtonsMethod function with these function handles, along with the initial guess, tolerance, and maximum number of iterations.

Here's an example of how you can use the newtonsMethod function to find the root of the equation x^2 - 4 = 0:

main.m
f = @(x) x^2 - 4;
df = @(x) 2*x;
x0 = 2;
tol = 1e-6;
max_iter = 100;

[root, iter] = newtonsMethod(f, df, x0, tol, max_iter);

disp(root); % Display the root
disp(iter); % Display the number of iterations
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This will output the root and the number of iterations it took to converge.

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