Handling hard inequalities
Back in the coffee shop, you want to look at minimizing daily expenses. You have an objective function that calculates your production costs, and a constraint function that tells you the limits of how much coffee you can produce.
Apply scipy to find the optimal allocation of resources to minimize costs.
Deze oefening maakt deel uit van de cursus
Introduction to Optimization in Python
Oefeninstructies
- Set the
constraintvariable using a dictionary. - Apply
scipyto find the optimal value.
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
def objective_function(b):
return (b[0] - 5) ** 2 + (b[1] - 3) ** 3
def constraint_function(x):
return 2*x[0] + 3*x[1] - 6
# Set the constraint variable
constraint = ____
x0 = [20, 20]
# Find the minimum
result = minimize(____)
print(result)