Python: numpy and scipy minimize: setting an array element with a sequence minimize [duplicate]

Question

I'm trying to minimize the function, but get an

ValueError: setting an array element with a sequence.

in the following code:

import numpy as np
from scipy import optimize as opt

def f(x):
    return np.sin(x / 5.) * np.exp(x / 10.) + 5 * np.exp( -x / 2.)

aprox_0 = np.array([range(1, 10), range(11, 20), range(21, 30)])
min_0 = opt.minimize(f, aprox_0[0])

Can anyone help?

Can you explain what you expect to happen if you feed an array as initial guess? The code works if you replace aprox_0[0] with a single value. Maybe you are just mistaken about the shape of aprox_0? It's a 2D array. — StefanS
– StefanS, Commented May 22, 2017 at 10:22
This question has a better answer: stackoverflow.com/questions/22844347/… — MB-F
– MB-F, Commented May 22, 2017 at 10:39
Thanks guys, I've found the issue: I thought about the finding local minimum via arrays and using them as a parameter instead of boundaries — Victor Veryasov
– Victor Veryasov, Commented May 22, 2017 at 11:05

user2614596 · Accepted Answer · 2017-05-22 10:20:35Z

0

Check the dimensions of both x inside the function f() and its returning value during the mininization, when you find the problem probably the function flatten() will help.

answered May 22, 2017 at 10:20

user2614596

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