Adaptive rational block Arnoldi methods for model reductions in large-scale MIMO dynamical systems
In recent years, a great interest has been shown towards Krylov subspace techniques applied to model order reduction of large-scale dynamical systems. A special interest has been devoted to single-input single-output (SISO) systems by using moment matching techniques based on Arnoldi or Lanczos algo...
Main Authors: | Khalide Jbilou, mustapha hached, oussama Abidi |
---|---|
Format: | Article |
Language: | English |
Published: |
BİSKA Bilisim Company
2016-04-01
|
Series: | New Trends in Mathematical Sciences |
Subjects: | |
Online Access: | https://ntmsci.com/ajaxtool/GetArticleByPublishedArticleId?PublishedArticleId=7148 |
Similar Items
-
A Multidimensional Principal Component Analysis via the C-Product Golub–Kahan–SVD for Classification and Face Recognition †
by: Mustapha Hached, et al.
Published: (2021-05-01) -
Méthodes de sous-espaces de Krylov rationnelles pour le contrôle et la réduction de modèles
by: Abidi, Oussama
Published: (2016) -
On Some Extended Block Krylov Based Methods for Large Scale Nonsymmetric Stein Matrix Equations
by: Abdeslem Hafid Bentbib, et al.
Published: (2017-03-01) -
A Preconditioned Variant of the Refined Arnoldi Method for Computing PageRank Eigenvectors
by: Zhao-Li Shen, et al.
Published: (2021-07-01) -
Rational Lanczos-type methods for model order reduction
by: Barkouki, Houda
Published: (2016)