[Solved] What will be the output of this SciPy code?import numpy as np from scipy.linalg import lu A = np.array([[4, 3], [6, 3]]) P, L, U = lu(A) print(round(U[0,0], 2)) | SciPy

SciPy - Advanced Optimization

What will be the output of this SciPy code?

import numpy as np
from scipy.linalg import lu

A = np.array([[4, 3], [6, 3]])
P, L, U = lu(A)
print(round(U[0,0], 2))

A4.00

B6.00

C3.00

DError due to unpacking

Step-by-Step Solution

Solution:

Step 1: Understand LU decomposition output
LU decomposition returns permutation matrix P, lower matrix L, and upper matrix U.
Step 2: Analyze matrix A and U
For matrix A, the largest pivot after permutation is 6, so U[0,0] = 6.
Final Answer:
6.00 -> Option B
Quick Check:
LU decomposition pivot = 6.00 [OK]

Quick Trick: LU decomposition's U matrix top-left is pivot [OK]

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