In a nutshell, given the singular decomposition of a matrix A, the Moore-Penrose pseudoinverse is given by This post will explain what the terms above mean, and how to compute them in Python and in Mathematica. Singular Value Decomposition (SVD) The singular value decomposition of a matrix is a sort of change of coordinates that makes the matrix simple, a generalization of diagonalization. Matrix