Inverting a matrix is one of the most common tasks in data science and machine learning. In this article I explain why inverting a matrix is very difficult and present code that you can use as-is, or ...

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 ...

THE problem of ‘inverting’ singular matrices is by no means uncommon in statistical analysis. Rao 1 has shown in a lemma that a generalized inverse (g-inverse) always exists, although in the case of a ...

I've run into a problem with my project with both the speed and accuracy with a home brew matrix class using doubles. I'm inverting a matrix and multiplying it by a ...

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 ...

Journal of Applied Probability, Vol. 27, No. 1 (Mar., 1990), pp. 156-170 (15 pages) Let Xt be a discrete-time multivariate stationary process possessing an infinite autoregressive representation and ...