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.
This exercise is part of the course
Introduction to Optimization in Python
Exercise instructions
- Set the
constraintvariable using a dictionary. - Apply
scipyto find the optimal value.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
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)