Which of the following code snippets correctly computes the Cholesky decomposition of matrix A using scipy?

easy📝 Syntax Q3 of 15

SciPy - Linear Algebra (scipy.linalg)

Which of the following code snippets correctly computes the Cholesky decomposition of matrix A using scipy?

<pre>from scipy.linalg import cholesky
L = cholesky(A, lower=True)</pre>

<pre>import scipy.linalg
L = scipy.linalg.cholesky(A, upper=True)</pre>

<pre>from scipy.linalg import cholesky
L = cholesky(A, transpose=True)</pre>

<pre>import scipy.linalg
L = scipy.linalg.cholesky(A, inverse=True)</pre>

Step-by-Step Solution

Solution:

Step 1: Import cholesky function
Use from scipy.linalg import cholesky for direct access.
Step 2: Use correct parameters
lower=True returns the lower triangular matrix L.
Step 3: Verify other options
Options C and D use invalid parameters; B uses upper=True which is valid but not the preferred syntax here.
Final Answer:
from scipy.linalg import cholesky L = cholesky(A, lower=True) -> Option A
Quick Check:
Check if L is lower triangular [OK]

Quick Trick: Use cholesky(A, lower=True) for lower matrix [OK]

Common Mistakes:

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