Python | Numpy np.cholesky () method

Using the np.cholesky() method, we can get the cholesky decomposition using np.cholesky () .

Syntax: np.cholesky (matrix)
Return: Return the cholesky decomposition.

Example # 1:
In this example, we can see that using np.cholesky () , we can get the Cholesky decomposition into matrix shape using this method.

# NumPy import

import numpy as np

 

a = np.array ([[ 2 , - 3j  ], [ 5j , 15 ]])

# using the np.cholesky () method

gfg = np.linalg.cholesky (a)

 

print (gfg)

Output:

[[1.41421356 + 0.j, 0. + 0.j]
[0. + 3.53553391j, 1.58113883 + 0.j]]

Example # 2:

# NumPy import

import numpy as np

 

a = np.array ([[ 12 , - 13j ], [ 4j , 8 ]])

# using the np.cholesky () method

gfg = np.linalg.cholesky (a)

  

 print (gfg)

Output:

[[3.46410162 + 0.j, 0. + 0.j]
[0. + 1.15470054j, 2.5819889 + 0.j]]