Harvard AM205 video 2.12 - Low-rank approximation

Harvard Applied Math 205 is a graduate-level course on scientific computing and numerical methods. This video describes how the singular value decomposition (SVD) can be used to construct optimal low-rank approximations to matrices. This a useful feature of the SVD that can be used for compressing information in a matrix, and for analyzing its properties.