Linear Algebra, Randomization, Singular Values, Eigenvectors, Thoughts And Theory.
vectors will be same as provided by E and V, respectively! Now, we are all set to find our approximation of U, without doing any heavy duty optimization based SVD on the humongous data matrix S. That can be done by the following simple matrix-vector multiplication. This is an elegant example of how