Exercise 2. Write a MATLAB function which uses the Newton-Raphson method to solve arbitrary systems of symbolic equations. The input to the function should be: 1. the symbolic vector function, 2. the symbolic independent variables, 3. an initial estimate for z (a column vector), and 4. the required accuracy (the process should terminate when the absolute values of are all less than the specified accuracy). The function should return: 1. the final values for , 2. the value of the vector corresponding to the final value of f(x) 3. the number of iterations required, and 4. the final Jacobian matrix. Use symbolic variables and the jacobian function. Also make use of symbolic-to-numeric conversions Use your Newton-Raphson function to solve the following system of nonlinear equations: where appropriate, using double 222-4 0 y+-0.3-0 2.1 from an initial point of [3, -1.5. Exercise 2. Write a MATLAB function which uses the Newton-Raphson method to solve arbitrary systems of symbolic equations. The input to the function should be: 1. the symbolic vector function, 2. the symbolic independent variables, 3. an initial estimate for z (a column vector), and 4. the required accuracy (the process should terminate when the absolute values of are all less than the specified accuracy). The function should return: 1. the final values for , 2. the value of the vector corresponding to the final value of f(x) 3. the number of iterations required, and 4. the final Jacobian matrix. Use symbolic variables and the jacobian function. Also make use of symbolic-to-numeric conversions Use your Newton-Raphson function to solve the following system of nonlinear equations: where appropriate, using double 222-4 0 y+-0.3-0 2.1 from an initial point of [3, -1.5