Computational Physics, Linear Algebra, Math, Mathematics, Science.
(SVD) which is another way of decomposing matrices. The advantage of the SVD is that you can use it also with non-square matrices. Extra: Visualizing linear transformations We can see the effect of eigenvectors and eigenvalues in linear transformation. We will see first how linear transformation