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 import numpy as np a = np.array([[2, -3j], [5j, 15]]) # using 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 :
# import numpy import numpy as np a = np.array([[12, -13j], [4j, 8]]) # using 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]]