  Hierarchical Model reduction and Proper Generalized Decomposition both
exploit separation of variables to perform a model reduction. After setting the
basics, we exemplify these techniques on some standard elliptic problems to
highlight pros and cons of the two procedures, both from a methodological and a
numerical viewpoint.
