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Python – scipy.linalg.sqrtm
The sqrtm() function of scipy.linalg package can be used to find the square root of an input matrix.
Syntax
scipy.linalg.sqrtm(x)
Example 1
Let us consider the following example −
# Importing the required libraries from scipy
from scipy import linalg
import numpy as np
# Define the input array
x = np.array([[14 , 2] , [89 , 33]])
print("Input array:
", x)
# Calculate the square root
r = linalg.sqrtm(x)
# Display the square root
print("Square Root of x:
", r)Output
It will generate the following output −
Input array: [[14 2] [89 33]] Square Root of x: [[3.43430132 0.22262855] [9.90697038 5.54927253]]
Example 2
Let us take another example −
# Importing the required libraries from scipy
from scipy import linalg
import numpy as np
# Define the input array
x = np.array([[25 , 8] , [66 , 54]])
print("Input array:
", x)
# Calculate the square root
m = linalg.sqrtm(x, disp=False)
# Display the square root
print("Square Root of x:
", m)Output
The above program will generate the following output −
Input array: [[25 8] [66 54]] Square Root of x: (array([[4.59645076, 0.68513573], [5.65236974, 7.08006776]]), 4.668211715240082e-30)
Updated on: 22-Dec-2021
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