Computational Physics, Linear Algebra, Python, Math, Matrix.
comes from the fact that eigenvectors are not unique. The linalg functions from Numpy return the normalized eigenvectors. Scaling by -1 doesn't change their direction or the fact that they are unit vectors. U, D, V = np.linalg.svd(A) U array([[-0.69366543, 0.59343205, -0.40824829], [-0.4427092 ,