How to make function that outputs multiple minima of a function which takes arrays as input?

Question

a1 = [array] #shape = (m,)
a2 = [array] #shape = (n,)
a  = func(a1,a2) # func returns an array of shape = (n, m)
# a is an array of shape = (n, m)
a_sol = [] # empty list
for i in a1:
    f = lambda x: float(func(np.array(i), np.array(x)))
    res = scipy.optimize.minimize_scalar(f)
    a_sol.append(res)

Is there a way to do this without for loop? Instead of passing each element of a1 one at a time, is there a way to find the minima for all the values of a1 at once, without using the for loop?

Your function returns an ARRAY. How do expect minimize_scalar to work? — Igor Rivin, Jun 27 '20 at 05:53
There, I made the required edit, now `f` will return a float as long as `x` and `i` are scalars. — pnp. peeyush, Jun 27 '20 at 05:57

score 0 · Answer 1 · answered Jun 27 '20 at 04:36

0

from functools import partial

func1 = partial(func, array1)
scipy.optimize.minimize(func1)

I don't understand what you mean about your function returning an array. What does it mean to minimize an array?

answered Jun 27 '20 at 04:36

Igor Rivin

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Sorry my bad, your doubt made me rethink my entire question, now I've re framed it please take a look. – pnp. peeyush Jun 27 '20 at 05:28

How to make function that outputs multiple minima of a function which takes arrays as input?

1 Answers1