Question

我正在使用以下代码，但我无法设置问题以便运行。

import numpy as np
from scipy.optimize import linprog

c = np.asarray([-0.098782540360068297, -0.072316526358138802, 0.004, 0.004, 0.004, 0.004])
A_ub = np.asarray([[1.0, 0, 0, 0, 0, 0], [-1.0, 0, 0, 0, 0, 0], [0, -1.0, 0, 0, 0, 0], [0, 1.0, 0, 0, 0, 0], [1.0, 1.0, 0, 0, 0, 0]])
b_ub = np.asarray([3.0, 3.0, 3.0, 3.0, 20.0])
A_eq = np.asarray([[1.0, 0, -1, 1, -1, 1], [0, -1.0, -1, 1, -1, 1]])
b_eq = np.asarray([0,0])
res = linprog(c, A_ub, b_ub, A_eq, b_eq)
lb = np.zeros([6,1]) #lower bound for x array
ub = np.ones([6,1])*2 #upper bound for x array
res2 = linprog(c, A_ub, b_ub, bounds=(lb, ub))

我收到错误：

ValueError: Invalid input for linprog with method = 'simplex'.  Length of bounds is inconsistent with the length of c

Answer 1

bounds参数需要一对对列表。使用类似的东西：

screenView

无法在Python中设置linprog

1 个答案: