Linear Algebra, Python, Numpy, Matrix Decomposition, Eigenvectors.
matrix as: We can confirm the product of these two matrices would give us the original matrix A. l = np.array([[1,0,0],[3,2,0],[2,2,3]]) u = np.array([[1,2,4], [0,1,1],[0,0,1]]) np.matmul(l,u) Out[5]: array([[ 1, 2, 4], [ 3, 8, 14], [ 2, 6, 13]]) 3. Cholesky Finally, the last method is the Cholesky