Scipy Optimize-缺少2个必需的位置参数

我在尝试最小化非常直接的代码时遇到了这个问题。

from scipy.optimize import fsolve
from scipy.optimize import minimize
design_var_0 = (0.1, 500, 0.5)
def height_equation(h, D, n, m_batt):
return return h - D*n*m_batt
def height(design_var):
return fsolve(height_equation, x0=10000, args=design_var)[0]
def respro_height(design_var):
return 1/height(design_var)
minimize(respro_height, design_var_0)

File "solver.py", line 36, in height
return fsolve(height_equation, x0=10000, args=design_var)[0]
File "C:UserskjAnaconda3libsite-packagesscipyoptimizeminpack.py", line 160, in fsolve
res = _root_hybr(func, x0, args, jac=fprime, **options)
File "C:UserskjAnaconda3libsite-packagesscipyoptimizeminpack.py", line 226, in _root_hybr
shape, dtype = _check_func('fsolve', 'func', func, x0, args, n, (n,))
File "C:UserskjAnaconda3libsite-packagesscipyoptimizeminpack.py", line 24, in _check_func
res = atleast_1d(thefunc(*((x0[:numinputs],) + args)))
TypeError: height_equation() missing 2 required positional arguments: 'n' and 'm_batt'

因此，fsolve的内部优化循环似乎给了我这个错误。但是，如果我只是用元组调用respro_height，我会得到预期的浮点答案。

>>> respro_height(design_var_0)
0.0012771435682421253

有人能告诉我，为什么我会出现这个错误，以及如何修复它吗？

请注意，函数height_equation指的是一个解析函数，该函数的形式为lambert-W，不能直接求解高度。这就是为什么我使用fsolve来获得高度