BUG: callback defined both in options of scipy.optimize.minimize and in its signature

Describe your issue.

The documentation of version 1.8.0 says that callback is one possible option of the L-BFGS-B solver, but setting that option causes an error :

_minimize_lbfgsb() got multiple values for keyword argument 'callback'

Indeed, the documentation also states that callback is an argument.

Reproducing Code Example

>>> import numpy as np
>>> from scipy.optimize import minimize
>>> def f(x):
...   return x*x
... 
>>> minimize(f, np.array([10]), method="L-BFGS-B", options={"callback": lambda xk: print(xk)})

Error message

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/vvargas-calderon/miniconda3/envs/zapata/lib/python3.8/site-packages/scipy/optimize/_minimize.py", line 681, in minimize
    res = _minimize_lbfgsb(fun, x0, args, jac, bounds,
TypeError: _minimize_lbfgsb() got multiple values for keyword argument 'callback'

SciPy/NumPy/Python version information

1.8.0 1.21.6 sys.version_info(major=3, minor=8, micro=12, releaselevel=‘final’, serial=0)

[AtsushiSakai]

I found _minimize_cobyla has the same issue. I fixed both in this PR.

[tupui]

Thanks! Yes it should be. But please wait for a confirmation from @andyfaff.