An optimum iteration for the matrix polar decomposition
The author shows that an acceleration parameter (derived from the Frobenius norm) makes Newton's iteration for the computation of the polar decomposition optimal and monotonic with respect to the associated norm. An application to full-rank rectangular matrices \(A\in \mathbb{R}^{m\times n}\) is also given.
scientific article; zbMATH DE number 1306001