A Rank–One Reduction Formula and Its Applications to Matrix Factorizations
Let $A \in R^{m \times n} $ denote an arbitrary matrix. If $x \in R^n $ and $y \in R^m $ are vectors such that $\omega = y^T Ax \ne 0$, then the matrix $B: = A - \omega ^{ - 1} ...