Using Matlab, Matlab, Matlab!!!

fy) a) Create a symbolic function named f that defines f(x,y) = xy + xy", and print the symbolic function. Evaluate the value of f at the point x = 1, y = 2 and print your result. b) Compute the symbolic (partial) derivative of f with respect to x named fx using diff. Similarly, compute the symbolic (partial) derivative of f with respect to y named fy. Print the symbolic functions fx and fy. (fx] Note that is essentially the gradient of f. Evaluate the gradient of f at the point x = 1, y = 2 and print your result. Note: the gradient should be a column vector. c) Compute the symbolic derivative of fx with respect to x named fxx using diff. Similarly, compute the symbolic derivative of fx with respect to y named fxy, compute the symbolic derivative of fy with respect to x named fyx, and compute the symbolic derivative of fy with respect to y named fyy. Print the symbolic functions fxx, fxy, fyx, and fyy. (fxx fxy Note that is essentially the Hessian matrix of f. Evaluate the Hessian fyx fyy! matrix of f at the point x = 1, y 2 and print your result. Note: the Hessian matrix should be a 2 x 2 matrix