[Solved] What is wrong with this code?import numpy as np from scipy.linalg import qr A = np.array([[1, 2], [3, 4]]) Q, R = qr(A) print(Q @ R) | SciPy

SciPy - Linear Algebra (scipy.linalg)

What is wrong with this code?

import numpy as np
from scipy.linalg import qr
A = np.array([[1, 2], [3, 4]])
Q, R = qr(A)
print(Q @ R)

Aqr returns only one matrix, not two

BNothing wrong; Q @ R equals A

CQ and R shapes do not match for multiplication

DQ and R are not multiplied correctly

Step-by-Step Solution

Solution:

Step 1: Understand QR decomposition output
qr(A) returns Q and R such that Q @ R reconstructs A.
Step 2: Confirm matrix multiplication correctness
Multiplying Q and R returns the original matrix A without error.
Final Answer:
Nothing wrong; Q @ R equals A -> Option B
Quick Check:
Q times R reconstructs A correctly [OK]

Quick Trick: Q @ R reconstructs original matrix A [OK]

Common Mistakes:

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What is wrong with this code?