How can I optimize a function with multiple variables using SciPy?

How can I optimize a function with multiple variables using SciPy?

You can use the scipy.optimize.minimize function to optimize a function with multiple variables. What function are you trying to optimize?

I'm trying to minimize the function f(x, y) = (x - 1)^2 + (y - 2)^2.

You can define your function and then call minimize like this:

from scipy.optimize import minimize

def objective(vars):
    x, y = vars
    return (x - 1)**2 + (y - 2)**2

result = minimize(objective, [0, 0])
print(result)

This will start the optimization from the point (0, 0).

What if I have constraints on the variables?

You can add constraints by using the constraints parameter in the minimize function. You can define constraints as dictionaries. Would you like an example?