Mathematics, Linear Algebra, Machine Learning, Data Science.
definite matrix A = np.array([[4, 2, -1], [2, 5, 3], [-1, 3, 9]]) # Perform Cholesky decomposition L = np.linalg.cholesky(A) print("L:\n", L) # Perform LU decomposition P, L, U = scipy.linalg.lu(A) Why It’s Useful: Matrix decompositions are powerful tools in various operations in data science. LU