Add to ORKGInternational audienceThe Reduced Basis Method Motivations • Modeling : multi-physics non-linear models, complex geometries, genericity • Uncertainty management / Risk analysis • Optimization in early design, certification or operating phase
For the real-time or many-query context classical discretization techniques such as finite element m...
In this paper, we are interested in applying the reduced basis methodology (RBM) to steady...
Abstract — The reduced basis (RB) method is proposed for the approximation of multi-parametrized equ...
International audienceThe Laboratoire National des Champs Magnétiques Intenses (LNCMI) is a French l...
Abstract. The reduced basis method is a model order reduction method for parametrized partial differ...
International audienceA novel algorithmic discussion of the methodological and numerical differences...
The book contains a selection of high quality papers, chosen among the best presentations during the...
This software contains code supporting the numerical experiments for the preprint A Training Set Sub...
Reduced basis approximation for shape optimization in thermal flows with a parametrized polynomial g...
CEMRACS 2012International audienceIn this paper we present applications of the reduced basis method ...
A novel algorithmic discussion of the methodological and numerical differences of competing parametr...
International audienceA weakly-invasive version of the LATIN-PGD method is described to build reduce...
In this paper we present applications of the reduced basis method (RBM) to large-scale non...
Abstract. Numerical approximation of the solution of partial differential equations plays an importa...
International audienceAn efficient, thus popular approach for approximating the response of a comput...
For the real-time or many-query context classical discretization techniques such as finite element m...
In this paper, we are interested in applying the reduced basis methodology (RBM) to steady...
Abstract — The reduced basis (RB) method is proposed for the approximation of multi-parametrized equ...
International audienceThe Laboratoire National des Champs Magnétiques Intenses (LNCMI) is a French l...
Abstract. The reduced basis method is a model order reduction method for parametrized partial differ...
International audienceA novel algorithmic discussion of the methodological and numerical differences...
The book contains a selection of high quality papers, chosen among the best presentations during the...
This software contains code supporting the numerical experiments for the preprint A Training Set Sub...
Reduced basis approximation for shape optimization in thermal flows with a parametrized polynomial g...
CEMRACS 2012International audienceIn this paper we present applications of the reduced basis method ...
A novel algorithmic discussion of the methodological and numerical differences of competing parametr...
International audienceA weakly-invasive version of the LATIN-PGD method is described to build reduce...
In this paper we present applications of the reduced basis method (RBM) to large-scale non...
Abstract. Numerical approximation of the solution of partial differential equations plays an importa...
International audienceAn efficient, thus popular approach for approximating the response of a comput...
For the real-time or many-query context classical discretization techniques such as finite element m...
In this paper, we are interested in applying the reduced basis methodology (RBM) to steady...
Abstract — The reduced basis (RB) method is proposed for the approximation of multi-parametrized equ...