$(4)$ Write a general Matlab routine for implementing the conjugate gradient method.

minimize Rosenbrock function and also use same strategies

to obtain the step sizes and same termination criteria & initial vector $x^{(0)}=[35].($Use same

constant step size, variable step size and quadratic fitting parameters for a reasonable

comparison with Steepest Descent Method$)$

Add an extra "Golden Section Line Search" for the step size.

$($B$)$ Plot the error as $||gradf||$ with respect to the iteration number.

$($C$)$ Compare the convergence rates, computation times, final error and final iteration number

with those of Steepest Descent Method in a neat table and give your brief comments.