[Solved] What is wrong with this code?from scipy.sparse.linalg import svds from scipy.sparse import csr_matrix A = csr_matrix([[1, 0], [0, 1]]) U, s, Vt = svds(A, k=3) | SciPy

SciPy - Sparse Linear Algebra

What is wrong with this code?

from scipy.sparse.linalg import svds
from scipy.sparse import csr_matrix
A = csr_matrix([[1, 0], [0, 1]])
U, s, Vt = svds(A, k=3)

Asvds requires k to be 1

Bcsr_matrix cannot be created from list of lists

Ck cannot be greater than min(A.shape)

DMissing numpy import

Step-by-Step Solution

Solution:

Step 1: Check matrix shape and k value
The matrix A is 2x2, so the maximum k allowed is min(2,2) - 1 = 1.
Step 2: Understand svds k parameter limits
svds requires k to be less than min(A.shape), so k=3 is invalid here.
Final Answer:
k cannot be greater than min(A.shape) -> Option C
Quick Check:
k must be less than min(matrix dimensions) [OK]

Quick Trick: k < min(matrix rows, cols) for svds [OK]

Common Mistakes:

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What is wrong with this code?