func : callable f(x, *args)
Function to be optimized.
x0 : ndarray
Initial guess.
args : tuple
Extra parameters to func.
schedule : base_schedule
Annealing schedule to use (a class).
full_output : bool
Whether to return optional outputs.
T0 : float
Initial Temperature (estimated as 1.2 times the largest
cost-function deviation over random points in the range).
Tf : float
Final goal temperature.
maxeval : int
Maximum function evaluations.
maxaccept : int
Maximum changes to accept.
maxiter : int
Maximum cooling iterations.
learn_rate : float
Scale constant for adjusting guesses.
boltzmann : float
Boltzmann constant in acceptance test
(increase for less stringent test at each temperature).
feps : float
Stopping relative error tolerance for the function value in
last four coolings.
quench, m, n : float
Parameters to alter fast_sa schedule.
lower, upper : float or ndarray
Lower and upper bounds on x.
dwell : int
The number of times to search the space at each temperature.
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