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 ...

The iterative process, X n+1 = X n (2I - AX n), for computing A -1, is generalized to obtain the generalized inverse. This journal, begun in 1943 as Mathematical Tables and Other Aids to Computation, ...

The properties of the maximum likelihood estimate of the parameter of a first-order moving-average model, depend on the inverse of a symmetric tridiagonal matrix. Hitherto, approximate expressions for ...