two non-linear equatio newton raphson method in matlab

To solve two non-linear equations using the Newton-Raphson method in MATLAB, follow these steps:

  1. Define the two non-linear equations as separate functions.
  2. Initialize the initial guess for the roots of the equations.
  3. Write a loop to iterate the Newton-Raphson formula until the desired level of accuracy is achieved.
  4. Evaluate the Jacobian matrix of the system of equations at each iteration.
  5. Use matrix inversion to calculate the step size for each iteration.
  6. Update the initial guess by subtracting the step size from the previous estimate.
  7. Repeat steps 4-6 until the desired level of accuracy is reached.
  8. Return the final estimates of the roots.

Here's an example implementation of solving two non-linear equations using the Newton-Raphson method in MATLAB:

main.m
% Define the non-linear equations as separate functions
f1 = @(x, y) x^2 - y - 1;
f2 = @(x, y) x + y^2 - 4;

% Set the initial guess for the roots
x0 = 0;
y0 = 0;

% Set the desired level of accuracy
tolerance = 1e-6;

% Initialize the error
error = inf;

% Initialize the iteration counter
iter = 0;

% Iterate the Newton-Raphson method until the desired level of accuracy is reached
while error > tolerance
    % Evaluate the functions and their partial derivatives at the current guess
    F = [f1(x0, y0); f2(x0, y0)];
    J = [2*x0, -1; 1, 2*y0];
    
    % Calculate the step size using matrix inversion
    delta = -J\F;
    
    % Update the guess
    x = x0 + delta(1);
    y = y0 + delta(2);
    
    % Update the error and iteration counter
    error = norm([x; y] - [x0; y0]);
    iter = iter + 1;
    
    % Update the previous guess
    x0 = x;
    y0 = y;
end

% Return the final estimates of the roots
root1 = x;
root2 = y;
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Make sure to replace the equations f1 and f2 with your own non-linear equations, and set the initial guess x0 and y0 accordingly.

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