I am trying to use scipy.optimize.basinhopping
with a function b_log(x)
at point x=10
. I do not understand the meaning of "minimization_failures" below. Can anyone explain?
In [144]: scipy.optimize.basinhopping(b_log,10)
Out[144]:
nfev: 6969
minimization_failures: 101
fun: 420
x: array([10])
message: ['requested number of basinhopping iterations completed successfully']
njev: 1919
nit: 100
From the original source :
# do a local minimization
minres = self.minimizer(x_after_step)
x_after_quench = minres.x
energy_after_quench = minres.fun
if not minres.success:
self.res.minimization_failures += 1
if self.disp:
print("warning: basinhopping: local minimization failure")
So, minimization_failures
means exactly what its name says: The number of times a minimization could not be done during the monte-carlo-step.
Edit: Have a look at this for some explanation of the method. I think u may need to provide the additional arguments to the function (eg T and minimizer_kwargs).
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