`scipy.optimize._dual_annealing:EnergyState`

Signature

class EnergyState(lower, upper, callback = None)

Class used to record the energy state. At any time, it knows what is the currently used coordinates and the most recent best location.

lower : array_like: A 1-D NumPy ndarray containing lower bounds for generating an initial random components in the reset method.
upper : array_like: A 1-D NumPy ndarray containing upper bounds for generating an initial random components in the reset method components. Neither NaN or inf are allowed.
callback : callable, ``callback(x, f, context)``, optional: A callback function which will be called for all minima found. x and f are the coordinates and function value of the latest minimum found, and context has value in [0, 1, 2]