向L-BFGS-B优化器传递maxcor参数时触发TypeError求助

Hey there! I spot the issue immediately—this is a super common mix-up when working with scipy's optimization tools. Let's get this sorted quickly.

What's Going Wrong #

The maxcor parameter is specific to the L-BFGS-B optimizer, but you're passing it directly as a top-level key in minimizer_kwargs. The problem is that scipy.optimize.minimize() (which basinhopping uses under the hood) doesn't accept maxcor as a direct argument. Method-specific parameters like this need to be wrapped inside an options dictionary instead.

The Corrected Code #

Here's how to adjust your code to pass maxcor properly:

minimizer_kwargs = {
    "method": "L-BFGS-B",
    "bounds": bounds,
    "options": {"maxcor": 190}  # Move maxcor into the options sub-dictionary
}
BH_result = optimize.basinhopping(
    obj_Basinhopping, 
    initial_guess, 
    minimizer_kwargs=minimizer_kwargs, 
    accept_test=mybounds,
    callback=printx, 
    disp=True
)

Why This Fixes It #

• Top-level keys in minimizer_kwargs are parameters that minimize() accepts universally (like method, bounds, or jac).
• Settings that are unique to a specific optimizer (like maxcor for L-BFGS-B, which controls the number of stored history updates for the limited-memory BFGS approximation) belong in the options dict. This tells minimize() to pass those settings directly to the chosen optimization method.

内容的提问来源于stack exchange，提问作者Paul Thomas