"Analysis of the Blunting Anti-Wrapping Strategy"

Ned Nedialkov

McMaster University
Canada

Berz and makino proposed the so-called blunting method for reducing 
the wrapping-effect in their Taylor models. The blunting method can 
be viewed as the combination of the well-known parallelepiped and
QR-factorization methods for reducing the wrapping effect. We analyze 
their blunting method and show that, over sufficiently long integration 
intervals, it behaves like the QR-factorization method.

Joint work with Ken Jackson, University of Toronto.