Computational Physics, Linear Algebra, Python, Math, Matrix.
of the matrix # svd of A U, D, V = np.linalg.svd(A) U array([[-0.85065081, -0.52573111], [-0.52573111, 0.85065081]]) D array([8.71337969, 3.32821489]) V array([[-0.59455781, -0.80405286], [ 0.80405286, -0.59455781]]) We can now look at the sub-transformations by looking at the effect of the