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.