Suppose that we can efficiently calculate the gradient vector
at a point (by `efficiently' we mean
analytically, requiring less computation than n individual evaluations
of the original function). There are cunning `Conjugate Gradient' algorithms available which
use this information to build up conjugate sets much faster than Powell's
method (n line minimizations rather than 
). See [6].