Python代码

import scipy
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import minimize
def func(x):
    return 7*np.sin(x) + 11*np.cos(5*x)
def cal_func():
    x = np.linspace(-5,5,1000)
    y = func(x)
    return x,y
def plot_func(x,y):
    plt.plot(x,y)
    plt.xlabel = 'x'
    plt.ylabel = 'f(x)'
if __name__ == '__main__':
    x,y = cal_func()
    plot_func(x,y)
    init_point = np.array(0)
    re = minimize(func,init_point,method='BFGS')
    print('result_x:',re.x)
    print('result.func:',re.fun)
    plt.scatter(re.x,re.fun,color='red', marker='o', s=100)
    plt.show()

当前参数下求解结果

result_x: [-0.64863839]
result.func: -15.171988751851286

图像：

参数设置

def func(x):
需要待优化求解的函数。这里为7*np.sin(x) + 11*np.cos(5*x)

minimize：
默认是最小值，如果要求最大值就取个负号。