Python | Numpy np.cholesky() method
Last Updated :
11 Nov, 2019
With the help of np.cholesky()
method, we can get the cholesky decomposition by using np.cholesky()
method.
Syntax : np.cholesky(matrix)
Return : Return the cholesky decomposition.
Example #1 :
In this example we can see that by using np.cholesky()
method, we are able to get the cholesky decomposition in the form of matrix using this method.
import numpy as np
a = np.array([[ 2 , - 3j ], [ 5j , 15 ]])
gfg = np.linalg.cholesky(a)
print (gfg)
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Output :
[[1.41421356 + 0.j, 0. + 0.j]
[0. + 3.53553391j, 1.58113883 + 0.j]]
Example #2 :
import numpy as np
a = np.array([[ 12 , - 13j ], [ 4j , 8 ]])
gfg = np.linalg.cholesky(a)
print (gfg)
|
Output :
[[3.46410162 + 0.j, 0. + 0.j]
[0. + 1.15470054j, 2.5819889 + 0.j]]
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