NumPy: Get the lower-triangular L in the Cholesky decomposition of a given array
NumPy: Linear Algebra Exercise-16 with Solution
Write a NumPy program to get the lower-triangular L in the Cholesky decomposition of a given array.
Sample Solution:
Python Code :
import numpy as np
a = np.array([[4, 12, -16], [12, 37, -53], [-16, -53, 98]], dtype=np.int32)
print("Original array:")
print(a)
L = np.linalg.cholesky(a)
print("Lower-trianglular L in the Cholesky decomposition of the said array:")
print(L)
Sample Output:
Original array: [[ 4 12 -16] [ 12 37 -53] [-16 -53 98]] Lower-triangular L in the Cholesky decomposition of the said array: [[ 2. 0. 0.] [ 6. 1. 0.] [-8. -5. 3.]]
Python-Numpy Code Editor:
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