CommencerCommencer gratuitement

Finding the maxima

Unconstrained optimization is finding the maxima or minima of a function that does not have any constraints or restrictions on the input variables.

Suppose you are launching a new product in your delicious cookie company and you want to maximize the revenue. The revenue can be modeled with this objective function where R is the revenue generated at price x.

R = -(x**2) + 3*x - 5

Solve this maximization problem using SciPys minimize_scalar() which has been loaded for you.

Cet exercice fait partie du cours

Introduction to Optimization in Python

Afficher le cours

Instructions

  • Define a new objective function that is the negation of the original objective function.
  • Maximize the negated function.
  • Print the optimal value to two decimal places.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# Define the new objective function
def negated_function(x):
  ____

# Maximize the negated function
result = ____

# Print the result
print(f"The maximum is {____} in two decimals")
Modifier et exécuter le code