Multivariate optimization
Great job maximizing that revenue! You now want to look at minimizing costs.
You'll need to consider two variables for your new cookie product, the sugar ingredient (a[0]) and the flour ingredient (a[1]). This is a multivariate optimization problem where you want to find the best way to mix these ingredients so that your cookies are delicious but not too expensive!
SciPy's minimize() function has been loaded for you and the objective function has been provided.
This exercise is part of the course
Introduction to Optimization in Python
Exercise instructions
- Save your initial guess to
x0; this can be anything! - Calculate and print the minimum.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
def objective_function(a):
return (a[0] - 2)**2 + (a[1] - 3)**2 + 3
# Save your initial guess
x0 = ____
# Calculate and print the minimum
result = minimize(____, ____)
print(f"minimum is (x, y) = ({result.x[0]:.2f}, {result.x[1]:.2f}) in two decimals.")