Function Fn

code/optim/bridge_de.py:32–33

(t, A, B, C, D)

import numpy as np
from scipy.optimize import differential_evolution
def Fn(t, A, B, C, D):
    return A*np.exp(-B*t)*np.sin(C*t) + D
def func(parameters, *data):
    A, B, C, D = parameters
    Fn, t, Y = data