Computing the inverse of a matrix is one of the most important operations in machine learning. If some matrix A has shape n-by-n, then its inverse matrix Ai is n-by-n and the matrix product of Ai * A ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most difficult tasks in numerical ...

A hyper-invertible matrix is a matrix whose every non-trivial square sub-matrix is invertible. Any m-by-n matrix induces a (linear) mapping from n input values to m output values; if the matrix is ...