[Solved] Which of the following is the correct way to specify integer variables in scipy.optimize.linprog?from scipy.optimize import linprog result = linprog(c, A_ub=A, b_ub=b, integrality=...) | SciPy

SciPy - Advanced Optimization

Which of the following is the correct way to specify integer variables in scipy.optimize.linprog?

from scipy.optimize import linprog

result = linprog(c, A_ub=A, b_ub=b, integrality=...)

Aintegrality=True # boolean for all integer

Bintegrality=[1, 0, 1] # 1 means integer, 0 means continuous

Cintegrality='integer' # string to specify all integer

Dintegrality=None # default no integer constraints

Step-by-Step Solution

Solution:

Step 1: Recall integrality parameter usage
The integrality argument takes a list or array indicating which variables are integers (1) or continuous (0).
Step 2: Check options
integrality=[1, 0, 1] # 1 means integer, 0 means continuous correctly uses a list with 1s and 0s. Options A, B, and D use incorrect types.
Final Answer:
integrality=[1, 0, 1] # 1 means integer, 0 means continuous -> Option B
Quick Check:
integrality list = integer flags [OK]

Quick Trick: Use list of 1/0 to mark integer variables [OK]

Common Mistakes:

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Which of the following is the correct way to specify integer variables in scipy.optimize.linprog?