Python - 使用 linprog 时出错 ("Invalid input for linprog: provide a 3 x 2 array for bounds, not a 2 x 3 array")
Python - Error using linprog ("Invalid input for linprog: provide a 3 x 2 array for bounds, not a 2 x 3 array")
我正在尝试使用 python 中的 linprog 来解决这个问题:
# Minimize = (0.035*x1) + (0.015*x2) + (0.025*x3)
# x1+x2+x3=1.2
# 0<=x1<=0.7
# 0<=x2<=0.3
# 0<=x3<=0.5
c = [0.035, 0.015, 0.025] #objective function
A_eq = [[1, 1, 1]]
b = [1.2]
lb = (0, 0, 0)
up = (0.7, 0.3, 0.5)
from scipy.optimize import linprog
linprog(c, A_ub=None, b_ub=None, A_eq=A_eq, b_eq=b, bounds=[lb,up], method='interior-point', callback=None, options=None, x0=None)
但是我遇到了一个错误,你能帮我解决这个问题吗?
非常感谢!
您应该按照与系数相同的顺序正确定义每个变量的界限。在这种情况下,它们介于零和某个数字之间:
# Minimize = (0.035*x1) + (0.015*x2) + (0.025*x3)
# x1+x2+x3=1.2
# 0<=x1<=0.7
# 0<=x2<=0.3
# 0<=x3<=0.5
c = [0.035, 0.015, 0.025] #objective function
A_eq = [[1, 1, 1]]
b = [1.2]
x1_b = (0, 0.7)
x2_b = (0, 0.3)
x3_b = (0, 0.5)
from scipy.optimize import linprog
linprog(c, A_ub=None, b_ub=None, A_eq=A_eq, b_eq=b, bounds=[x1_b, x2_b,x3_b], method='interior-point', callback=None, options=None, x0=None)
我正在尝试使用 python 中的 linprog 来解决这个问题:
# Minimize = (0.035*x1) + (0.015*x2) + (0.025*x3)
# x1+x2+x3=1.2
# 0<=x1<=0.7
# 0<=x2<=0.3
# 0<=x3<=0.5
c = [0.035, 0.015, 0.025] #objective function
A_eq = [[1, 1, 1]]
b = [1.2]
lb = (0, 0, 0)
up = (0.7, 0.3, 0.5)
from scipy.optimize import linprog
linprog(c, A_ub=None, b_ub=None, A_eq=A_eq, b_eq=b, bounds=[lb,up], method='interior-point', callback=None, options=None, x0=None)
但是我遇到了一个错误,你能帮我解决这个问题吗? 非常感谢!
您应该按照与系数相同的顺序正确定义每个变量的界限。在这种情况下,它们介于零和某个数字之间:
# Minimize = (0.035*x1) + (0.015*x2) + (0.025*x3)
# x1+x2+x3=1.2
# 0<=x1<=0.7
# 0<=x2<=0.3
# 0<=x3<=0.5
c = [0.035, 0.015, 0.025] #objective function
A_eq = [[1, 1, 1]]
b = [1.2]
x1_b = (0, 0.7)
x2_b = (0, 0.3)
x3_b = (0, 0.5)
from scipy.optimize import linprog
linprog(c, A_ub=None, b_ub=None, A_eq=A_eq, b_eq=b, bounds=[x1_b, x2_b,x3_b], method='interior-point', callback=None, options=None, x0=None)