Alternative methods for minimizing Q(0) are based on either first-order or second-order steepest descent. These are defined as: first-order: g(+1) 816, where 6 is the negative of the gradient vector to Q(0) evaluated at " second order: g+)-1H-18, where H is the matrix of second derivatives evaluated at 0, and Using the data and the model from Exercise 8.2, compute the search direction at the first iteration for each of these methods, and compare with the direction for the Gauss-Newton method.