[Solved] Identify the error in this code snippet:import numpy as np from scipy.sparse import csr_matrix from scipy.sparse.linalg import spsolve A = csr_matrix([[1, 2], [3, 4]]) b = np.... | SciPy

SciPy - Sparse Linear Algebra

Identify the error in this code snippet:

import numpy as np
from scipy.sparse import csr_matrix
from scipy.sparse.linalg import spsolve

A = csr_matrix([[1, 2], [3, 4]])
b = np.array([5, 6])
x = spsolve(b, A)
print(x)

AVector b must be a list, not a numpy array

BMatrix A must be dense, not sparse

Ccsr_matrix cannot be used with spsolve

DArguments to spsolve are reversed; should be spsolve(A, b)

Step-by-Step Solution

Solution:

Step 1: Check spsolve function signature
spsolve expects the matrix A first, then vector b: spsolve(A, b).
Step 2: Identify argument order mistake
The code calls spsolve(b, A), reversing arguments, causing an error.
Final Answer:
Arguments to spsolve are reversed; should be spsolve(A, b) -> Option D
Quick Check:
Correct order = spsolve(A, b) [OK]

Quick Trick: Remember spsolve(A, b), matrix first then vector [OK]

Common Mistakes:

Swapping matrix and vector arguments
Thinking sparse matrix is unsupported
Using wrong data types for b

Master "Sparse Linear Algebra" in SciPy

9 interactive learning modes - each teaches the same concept differently

Learn Why Deep Visual Try Challenge Project Recall Time

More SciPy Quizzes

Identify the error in this code snippet:

Step 1: Check spsolve function signature

Step 2: Identify argument order mistake

Final Answer:

Quick Check:

Want More Practice?