Linear Algebra, Python, Numpy, Matrix Decomposition, Eigenvectors.
np.matmul(l,u) Out[3]: array([[ 1, 2, 4], [ 3, 8, 14], [ 2, 6, 13]]) As you can see, the product produces the same matrix A. 2. Crout The second method is Crout. In this method, the upper triangular matrix has 1’s on its diagonal. Taking the same matrix A as an example: We can set the 𝐿 and 𝑈