  In this paper a novel numerical approximation of parametric eigenvalue
problems is presented. We motivate our study with the analysis of a POD reduced
order model for a simple one dimensional example. In particular, we introduce a
new algorithm capable to track the matching of eigenvalues when the parameters
vary.
