Numerical methods for low-rank matrix approximation; matrix compression

Numerical methods for low-rank matrix approximation; matrix compression

Shows how truncating the SVD gives the best rank-r approximation of a matrix (Eckart-Young), interpreting singular values as importance weights, with image compression demonstrating how few ranks cap…