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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.

Cet exercice fait partie du cours

Introduction to Optimization in Python

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Instructions

  • Set the constraint variable using a dictionary.
  • Apply scipy to find the optimal value.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de 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)
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