POLYNOMIAL ROOT COMPUTATION BY MEANS OF THE LR ALGORITHM
By representing the $LR$ algorithm of Rutishauser and its variants in a
polynomial setting, we derive
numerical methods for approximating either all of the roots
or a number $k$ of the roots of minimum modulus
of a given polynomial $p(t)$ of degree $n$. These methods share the
convergence properties of the $LR$ matrix iteration but, unlike it,
they
can be arranged to produce parallel and sequential
algorithms which are highly efficient
expecially in the case where $k<