更新时间:2023-02-26 16:42:31
所以这似乎可以解决问题:
So this seems to do the trick:
from sympy import Sum, symbols, Indexed, lambdify
from scipy.optimize import minimize
import numpy as np
def _eqn(y, variables, periods, sign=-1.0):
x, i = symbols("x i")
n = periods-1
s = Sum(Indexed('x', i)/(1+0.06)**i, (i, 0, n))
f = lambdify(x, s, modules=['sympy'])
return float(sign*(y + f(variables)))
z = 3
results = minimize(lambda x: _eqn(3, x, z),np.zeros(z))
print(results.x)
还有其他建议吗?