Working with Bounds
Bound-constrained problems have variables that are limited to a range of values.
You're running a coffee shop and need to place an order for two varieties of coffee beans: b[0] and b[1]. You want to minimize costs. Your supplier only accepts minimum quantity orders of 2 units for each bean, and you can afford a maximum of 100 units per bean.
minimize and Bounds from scipy.optimize have been loaded for you and the objective function is provided.
This exercise is part of the course
Introduction to Optimization in Python
Exercise instructions
- Set the lower and upper bound values for
b[0]andb[1]asbounds. - Use
scipyto find the minimum.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
def objective_function(b):
return (b[0] - 6)**2 + (b[1] - 8)**2 + 3
# Set the bounds of your problem
bounds = ____
x0 = [10, 5]
# Find the minimum
result = ____(____)
print(result.x)