import numpy as np
from matplotlib import pyplot as plt
from scipy.optimize import fmin,fminbound
 
 
def f(x):
  return x**2+10*np.sin(x)+1
x=np.linspace(-10,10,num=500)
min1=fmin(f,3)#求3附近的极小值
min2=fmin(f,0)#求0附近的极小值
min_global=fminbound(f,-10,10)#这个区域的最小值
print(min1)
print(min2)
print(min_global)
plt.plot(x,f(x))
plt.show()

Optimization terminated successfully.
     Current function value: 9.315586
     Iterations: 15
     Function evaluations: 30
Optimization terminated successfully.
     Current function value: -6.945823
     Iterations: 26
     Function evaluations: 52
[3.83745117]
[-1.3064375]
-1.306440096615395