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NumPy Exercises

NumPy: Calculate the Frobenius norm and the condition number of a given array

NumPy: Linear Algebra Exercise-19 with Solution

Write a NumPy program to calculate the Frobenius norm and the condition number of a given array.

Sample Solution:

Python Code :

import numpy as np
a = np.arange(1, 10).reshape((3, 3))
print("Original array:")
print(a)
print("Frobenius norm and the condition number:")
print(np.linalg.norm(a, 'fro'))
print(np.linalg.cond(a, 'fro'))

Sample Output:

Original array:
[[1 2 3]
 [4 5 6]
 [7 8 9]]
Frobenius norm and the condition number:
16.8819430161
4.56177073661e+17

Python Code Editor:


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