Computational Thinking, Linear Algebra, Python, Jupyter Notebook, Math.
dtype=int64) S.indices array([0, 1, 0, 1], dtype=int32) S.data array([1, 2, 3, 4], dtype=int64) S.data / np.take(Sr, S.indices) array([ 0.25 , 0.33333, 0.75 , 0.66667]) def power_method(A, max_iter=100): n = A.shape[1] A = np.copy(A) A.data /= np.take(A.sum(axis=0).A1, A.indices) scores =