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 ...

This is a preview. Log in through your library . Abstract The Sherman--Morrison--Woodbury formulas relate the inverse of a matrix after a small-rank perturbation to the inverse of the original matrix.

Sankhyā: The Indian Journal of Statistics, Series A (1961-2002), Vol. 32, No. 3 (Sep., 1970), pp. 299-310 (12 pages) In this paper, various types of generalised inverses are considered and the general ...