CODEWITHSUNDEEP
pythonscipy
Anna Yashina
Anna Yashina

Reputation: 534

Scipy optimization of function with several variables

I have a function with 2 variables and I try to minimize it using L-BFGS-B method.

def f(x,y):
    z = exp(x + y)
return z

My arguments are numpy arrays, x0 is (0,0). I try something like:

res = minimize(f,x0,args=(x,y), method = "L-BFGS-B")

and get the error saying I give 3 arguments instead of 2. What is going wrong?

Upvotes: 0

Views: 462

Answers (1)

jme
jme

Reputation: 20765

The args parameter is for passing in extra data to your objective function. In your case, the objective function should take one argument: the point at which it should be evaluated as an array. For instance:

def f(x):
    return np.exp(x.sum())

minimize(f, [0,0], bounds=[[-5,None], [-5,None]])

I imagine that you're optimizing a function other than the exponential, right? Because minimizing it is obviously trivial...

Upvotes: 1

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