level 2
level 1
import numpy as np
from scipy.optimize import minimize
def g(var):
x, y = var
return np.sin(x + y) + np.cos(x + 2 * y)
initial_guess = [0, 0]
result = minimize(g, initial_guess, method='Nelder-Mead')
print("最小值点 (x, y):", result.x)
print("最小值:", result.fun)
2024年09月18日 09点09分
3
from scipy.optimize import minimize
def g(var):
x, y = var
return np.sin(x + y) + np.cos(x + 2 * y)
initial_guess = [0, 0]
result = minimize(g, initial_guess, method='Nelder-Mead')
print("最小值点 (x, y):", result.x)
print("最小值:", result.fun)
大佬，算的不一样
2024年09月18日 09点09分
