Can you provide an example of using the scipy.optimize.minimize function for optimization?

Here is an example of using the scipy.optimize.minimize function in Python for optimization:

python import numpy as np from scipy.optimize import minimize

Define the objective function to be minimized def objectivefunction(x): return x02 x12

Initial guess for the optimization initialguess np.array(1, 1)

Perform the optimization using the minimize function result minimize(objectivefunction, initialguess, method'Nelder-Mead')

Print the optimized result print(result.x)

In this example, we define a simple objective function to minimize (in this case, a simple quadratic function), provide an initial guess for the optimization, and then use the minimize function from scipy.optimize to find the optimal solution.