(I don't need to show work, even though it would be nice if you did. All I really need are the tables.)

Write a MATLAB (or Python) routine for implementing the conjugate gradient algorithm for general functions. Use the secant method for the line search. Test the three different formulas, Hestenes-Stiefel, Polak-Ribire, and Fletcher-Reeves, for Bk on Rosenbrock's function (z) = 100(12-2 + (1-1)2 with an initial condition2,2 For his exercise, reinitialize the update direction to the negative gradient every 6 iterations. Set the stopping criterion to lg(k) ll