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.
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'))
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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In Python you can use negative indexing. While positive index starts with 0, negative index starts with -1.
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