SciPy - Advanced Optimization
What will be the output of this code snippet?
from scipy.optimize import milp
c = [3, 1]
bounds = [(0, None), (0, None)]
integrality = [1, 1]
result = milp(c, bounds=bounds, integrality=integrality)
print(result.x)What will be the output of this code snippet?
medium📝 Predict Output Q5 of 15
Step-by-Step Solution
Solution:
Step 1: Analyze the objective and constraints
Minimize 3*x0 + 1*x1 with both variables >= 0 and integer.Step 2: Find minimum values
Both variables can be zero, which gives objective 0, the minimum possible.Final Answer:
[0. 0.] -> Option AQuick Check:
Minimum at zero for non-negative integer variables [OK]
Quick Trick: Zero is valid integer solution if bounds allow [OK]
Common Mistakes:
- Assuming variables must be positive integers
- Ignoring bounds allowing zero
- Thinking solution must be non-zero
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