A smallest singular value method for nonlinear eigenvalue problems
Abstract
ANewton-type method for the eigenvalue problem of analytic matrix
functions is described and analysed. The method finds the eigenvalue
and eigenvector, respectively, as a point in the level set of the
smallest singular value function and the corresponding right singular
vector. The algorithmic aspects are discussed and illustrated by
numerical examples.