scipy.optimize.minimize（）中的“ fun”应采用哪种格式？

Question

I would like to use the scipy.optimize.minimize() function, but I have a small problem : in the official documentation , it is said that the function take as argument an "objective function", without further precision.

So i wanted to know a few things : let's suppose here that the function I want to optimize is f(x_1,y_1,x_2,y_2,...,x_n,y_n) , n not constant.

1) Is it possible to put other arguments in the function ? for example, f(stuff,x1,...) ?

2) As n is not constant, i would rather use a list (something like that : f([x_1,y_1,x_2,y_2,...,x_n,y_n] ). Will scipy understand this ?

Thank you in advance for answers !

Answer 1

Ok, I've got some elements of answers :

As hjpaul said, I used an array to solve my problem, and it works ! One should note that if you give him a n-dimensional array, the function will transform it automatically in 1d-array (what blocked me at a moment).

The syntax sp.optimize.minimize(fun,array,other_args_tuple) is probably the best, but using global variable works too.

Thank you everyone (and especially hpaulj) for your answers. I didn't read accurately enough the documentation, that'll teach me ^^