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.
Este ejercicio forma parte del curso
Introduction to Optimization in Python
Instrucciones del ejercicio
- Set the
constraintvariable using a dictionary. - Apply
scipyto find the optimal value.
Ejercicio interactivo práctico
Prueba este ejercicio completando el código de muestra.
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)