Question

我的环境是运行SciPy 1.3.1和NumPy 1.17.2的Python 3.74。我正在尝试使用scipy.optimize.minimize函数来查找约束非线性多变量函数的最小值，该函数已构建为cost()。尝试运行以下代码摘录时，我遇到了TypeError：

constraints = [
    {'type' : 'ineq', 'fun' : AA},
    {'type' : 'ineq', 'fun' : Ev},
    {'type' : 'eq', 'fun' : Aeq},
    {'type' : 'eq', 'fun' : Beq}
]
bnds = ((-5, 5))

z = minimize(lambda z: cost(z,to), x0=z0, constraints=constraints, method='SLSQP')

AA是（96,48），值从-0.5到0 Ev是（96,1），值3和5 Aeq为（5,1），全为-0.5 Beq为0

我假设有一个问题，如documentation所述，这些都不是“可调用的”。如果是这种情况，我该怎么做？

回溯如下：

Exception has occurred: TypeError
'numpy.ndarray' object is not callable
  File "C:\Users\Jack\AppData\Roaming\Python\Python37\site-packages\scipy\optimize\slsqp.py", line 313, in <listcomp>
    for c in cons['eq']]))
  File "C:\Users\Jack\AppData\Roaming\Python\Python37\site-packages\scipy\optimize\slsqp.py", line 313, in _minimize_slsqp
    for c in cons['eq']]))
  File "C:\Users\Jack\AppData\Roaming\Python\Python37\site-packages\scipy\optimize\_minimize.py", line 608, in minimize
    constraints, callback=callback, **options)
  File "F:\[redactedpath]\main.py", line 125, in <module>
    z = minimize(lambda z: cost(z,to), x0=z0, constraints=constraints, method='SLSQP')
  File "C:\Users\Jack\AppData\Local\Programs\Python\Python37-32\Lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Users\Jack\AppData\Local\Programs\Python\Python37-32\Lib\runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "C:\Users\Jack\AppData\Local\Programs\Python\Python37-32\Lib\runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)

由于机密性，我无法提供完整代码，但是如果您需要更多信息，请提出建议，我会回复。谢谢。

带有scipy.optimize.minimize的TypeError numpy.ndarray（“ numpy.ndarray”对象不可调用）

0 个答案: