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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.

Este exercício faz parte do curso

Introduction to Optimization in Python

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Instruções do exercício

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

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

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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