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NumPy: Compute the condition number of a given matrix

NumPy: Linear Algebra Exercise-14 with Solution

Write a NumPy program compute the condition number of a given matrix.

From Wikipedia: In the field of numerical analysis, the condition number of a function with respect to an argument measures how much the output value of the function can change for a small change in the input argument. This is used to measure how sensitive a function is to changes or errors in the input, and how much error in the output results from an error in the input.

Sample Solution:

Python Code :

import numpy as np
m = np.array([[1,2],[3,4]])
print("Original matrix:")
print(m)
result =  np.linalg.cond(m)
print("Condition number of the said matrix:")
print(result)

Sample Output:

Original matrix:
[[1 2]
 [3 4]]
Condition number of the said matrix:
14.9330343737

Python Code Editor:


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