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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.

Diese Übung ist Teil des Kurses

Introduction to Optimization in Python

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Anleitung zur Übung

  • Set the lower and upper bound values for b[0] and b[1] as bounds.
  • Use scipy to find the minimum.

Interaktive Übung

Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.

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)
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