[Solved] Find the mistake in this code:from scipy.sparse import csr_matrix from scipy.sparse.linalg import spsolve A = csr_matrix([[1, 0], [0, 0]]) b = [1, 2] x = spsolve(A, b) print(x) | SciPy

SciPy - Sparse Matrices (scipy.sparse)

Find the mistake in this code:

from scipy.sparse import csr_matrix
from scipy.sparse.linalg import spsolve

A = csr_matrix([[1, 0], [0, 0]])
b = [1, 2]
x = spsolve(A, b)
print(x)

Acsr_matrix cannot have zeros

Bb should be a dense matrix

CMatrix A is singular (not invertible)

Dspsolve requires dense matrix A

Step-by-Step Solution

Solution:

Step 1: Analyze matrix A
Matrix A has a zero row, making it singular (no inverse exists).
Step 2: Understand spsolve requirements
spsolve cannot solve systems with singular matrices because the solution is not unique or does not exist.
Final Answer:
Matrix A is singular (not invertible) -> Option C
Quick Check:
Singular matrix causes spsolve failure [OK]

Quick Trick: Check matrix invertibility before using spsolve [OK]

Common Mistakes:

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