a basic simulated annealing engine.
as always, the user supplies the function 'target' in the main driver,
the rest is taken care of here
 
This implementation is based on
 
http://nl.wikipedia.org/wiki/Simulated_annealing

Modules
		scitbx.array_family.flex scitbx.math os sys

Classes
		__builtin__.object sa_optimizer tst_function   class sa_optimizer(__builtin__.object)       Methods defined here: __init__(self, parent, start_solution, scales, start_t=100, end_t=1, burn_in=100, burn_out=10000, steps=100) get_solution(self) make_anneal_profile(self) move(self) perturb(self, vector) run(self) Data descriptors defined here: __dict__ dictionary for instance variables (if defined) __weakref__ list of weak references to the object (if defined)   class tst_function(__builtin__.object)       Methods defined here: __init__(self) target(self, vector) Data descriptors defined here: __dict__ dictionary for instance variables (if defined) __weakref__ list of weak references to the object (if defined)

Functions
		tst()