(f) Comment on the results in the table. Your comments should discuss at least the following things. 0 Did the Gradient Descent method always converge? For which settings / step sizes (using fminbound vs. a xed time step) did it not converge? In the cases for which it did not converge, explain why it did not converge. o For which settings (using fminbound vs. a xed time step and different step sizes) did the method converge the quickest? 0 Which converged in the fewest number of iterations? o Is your answer to the above two questions (fastest and fewest iterations) the same? If so, why? If not, why? What slows down the algorithm? 0 Optional: Can you nd the optimum tstep to make this algorithm con verge the fastest for this