如何将 scipy.optimize.minimize 用于具有 3 个变量的 function？

Question

I'm trying to optimise this function:

def voce(strain, sigma_s, sigma_y, epsilon_0):
    stress = sigma_s - (sigma_s - sigma_y)*np.exp(-strain/epsilon_0)
    return stress

by finding the best values for sigma_s, sigma_y and epsilon_0. Strain and stress should be 1 dimensional numpy arrays.

I've tried:

initial_guess = [1, 1, 1]
result = minimize(voce, initial_guess)

but I get "ValueError: can only convert an array of size 1 to a Python scalar"

I'm a bit confused how to use minimise this

Answer 1

The function to be optimized by scipy.optimize.minimize should return a scalar value. Please see here .