[Solved] You run the following code but get an error:from scipy.sparse import csc_matrix from scipy.sparse.... | SciPy

SciPy - Sparse Linear Algebra

You run the following code but get an error:

from scipy.sparse import csc_matrix
from scipy.sparse.linalg import splu

A = csc_matrix([[0, 0], [0, 0]])
lu = splu(A)

What is the most likely cause of the error?

AMatrix A is singular and cannot be factorized

Bcsc_matrix does not support splu factorization

Csplu requires a dense matrix, not sparse

DThe matrix size is too small for splu

Step-by-Step Solution

Solution:

Step 1: Analyze matrix A
A is a zero matrix, which means it is singular (no inverse exists).
Step 2: Understand splu requirements
splu cannot factorize singular matrices because LU decomposition requires invertibility.
Final Answer:
Matrix A is singular and cannot be factorized -> Option A
Quick Check:
Singular matrix causes splu error [OK]

Quick Trick: Check if matrix is singular before splu [OK]

Common Mistakes:

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