Function func

code/optim/bridge_de.py:34–37

(parameters, *data)

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
    return np.linalg.norm(Fn(t,A,B,C,D)-Y)
def compute_ABCD(bounds, t, y_meas):
    args = (Fn, t, y_meas)
    DE_result = differential_evolution(func, bounds, args=args)