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 Annals of Mathematical Statistics, Vol. 17, No. 3 (Sep., 1946), pp. 336-343 (8 pages) The enlargement principle provides techniques for inverting any nonsingular matrix by building the inverse ...

In my previous column (see “Editor's Picks,” at right), I discussed transverse flexural testing of a unidirectional composite as one method of evaluating the strength of the fiber/matrix interfacial ...

A procedure is derived for extracting the observed information matrix when the EM algorithm is used to find maximum likelihood estimates in incomplete data problems. The technique requires computation ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...