Commit 040f4f48 authored by Tiago Peixoto's avatar Tiago Peixoto
Browse files

multicanonical_equilibrate(): Use both extrema to guarantee histogram flatness

parent 2a058f62
Pipeline #152 failed with stage
......@@ -477,7 +477,8 @@ class MulticanonicalState(object):
h = array([0] + list(h))
if not use_ent:
h_mean = h.mean()
return h.min() / h_mean
return min(h.min() / h_mean,
h_mean / h.max())
h /= h.sum()
S = -(h * log(h)).sum()
......@@ -522,7 +523,8 @@ def multicanonical_equilibrate(state, m_state, f_range=(1., 1e-6),
Sufficient histogram flatness threshold used to continue the algorithm.
use_ent : ``bool`` (optional, default: ``True``)
If ``True``, the histogram entropy will be used to determine flatness,
otherwise the smallest count relative to the mean will be used.
otherwise the smallest and largest counts relative to the mean will be
callback : ``function`` (optional, default: ``None``)
If given, this function will be called after each iteration. The
function must accept the current ``state`` and ``m_state`` as arguments.
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