[Solved] Identify the error in this code snippet that uses linprog:from scipy.optimize import linprog c = [1, 2] A = [[-1, 1], [3, 4]] b = [1, 12] res = linprog(c, A_eq=A, b_eq=b) print(res.success) | SciPy

SciPy - Advanced Optimization

Identify the error in this code snippet that uses linprog:

from scipy.optimize import linprog
c = [1, 2]
A = [[-1, 1], [3, 4]]
b = [1, 12]
res = linprog(c, A_eq=A, b_eq=b)
print(res.success)

AObjective coefficients should be negative to minimize

BMissing variable bounds argument

CUsing <code>A_eq</code> with inequality constraints instead of <code>A_ub</code>

DIncorrect import statement

Step-by-Step Solution

Solution:

Step 1: Check constraint type usage
The code uses A_eq and b_eq, which define equality constraints, but the constraints given are inequalities (e.g., -1*x1 + x2 <= 1).
Step 2: Correct constraint parameter
For inequality constraints, A_ub and b_ub should be used instead of A_eq and b_eq.
Final Answer:
Using A_eq with inequality constraints instead of A_ub -> Option C
Quick Check:
Use A_ub for inequalities, A_eq for equalities [OK]

Quick Trick: Use A_ub for inequalities, A_eq for equalities [OK]

Common Mistakes:

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