I’m having trouble when using scipy minimize. I have sqrt in my objective function, it seems it does not work with minimize, I’m getting ValueError: Objective function must return a scalar.
Minimum code to reproduce the problem:
import scipy
from scipy.optimize import minimize
func = lambda x: (-24.9 * x[0] -25.0435945 * x[1] +24.9563343 * sqrt(1 - x[1]**2))**2 + (25.0627089 * x[0] -24.9563293 * x[1] -25.0435896 * sqrt(1 - x[1]**2))**2
res = minimize(func, (0.0, 0.0), method='SLSQP')
Also, if I’m using BFGS method, I’m getting TypeError: float() argument must be a string or a number.
How to get rid of these errors?
