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.
Questo esercizio fa parte del corso
Introduction to Optimization in Python
Istruzioni dell'esercizio
- Set the
constraintvariable using a dictionary. - Apply
scipyto find the optimal value.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
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)