from scipy.optimize import minimize

import numpy as np

​

# 计算 1/x+x 的最小值

def fun(args):

    a = args

    v = lambda x: a / x[0] + x[0]

    return v

​

​

if __name__ == "__main__":

    args = (1)  # a

    x0 = np.array([1.3, 0.7, 0.8, 1.9, 1.2])

    res = minimize(fun(args), x0, method='nelder-mead')

    print(res.fun)

    print(res.success)

    print(res.x)