Intervenant: Yassine Kaouane  (LMPA Joseph Liouville)
Date et lieu: vendredi 2 juin à 14h30 en salle B014.

Titre : Adaptive tangential Krylov subspaces methods for model
reduction in large-scale dynamical systems

Résumé:

In this paper, we present two new approaches for model order reduction
problem, with multiple inputs and multiple outputs (MIMO). The
Adaptive Global Tangentiel Arlondi Algorithms (AGTAA), and the
Adaptive Global Tangentiel Lanczos Algorithms (AGTLA).These methods
are based on a generalization of the global Arnoldi and the global
Laczos algorithms. The selection of the shifts and the tangent
directions is done with an adaptive procedure.  We give some algebraic
properties for the global case. Finally, some numerical examples are
presented to show the effectiveness of the proposed algorithms.

Key words: Global, Arnoldi, Lanczos, Model reduction, Tangential directions.