Numerical optimization by Downhill Simplex method

 This is an implementation of the Downhill Simpex Method in Multidimensions
 (Nelder and Mead) for finding the (local) minimum of a function. Doing this
 in Perl makes it easy for that function to actually be the output of another
 program such as a simulator.
 .
 Arrays and the function are passed by reference to the routines.