International audienceThere are many recent studies concerning reduced-order computational methods, especially reductions by projection on a small-sized basis. But it is difficult to control the quality of the solutions if the basis is fixed once and for all. This is why we attempt to define efficient and low-cost strategies for correction and updating of the basis. These correction steps re-use previously computed quantities such as: vectors and triangulated matrices. The proposed algorithms use alternately full and reduced-size steps, allowing a strong reduction in the number of full-size tangent matrices. Two classes of applications are discussed. First, we consider an algorithm for determining Hopf bifurcation points in 2D Navier-Stokes...
Numerical simulations currently represent one of the most efficient ways of studying complex physica...
Model order reduction is an essential tool for control design and multi-query simulation in real-tim...
We consider the Hyper-reduction technique [1], in the framework of parametric structural dynamic pro...
International audienceThere are many recent studies concerning reduced-order computational methods, ...
International audienceThis work deals with the computation of Hopf bifurcation points in the framewo...
In this paper we apply a reduced basis framework for the computation of flow bifurcation (and stabil...
International audienceThis paper deals with the extension of proper generalized decomposition method...
This paper deals with the extension of Proper Generalized Decomposition (PGD) methods to non-linear ...
In this thesis we consider the reduced basis element method for approximating the solution of parame...
In structural dynamics, the prediction of the response of systems with localized nonlinearities, suc...
This paper presents a computational framework for model order reduction of viscoelastic fluid flows,...
The subject of the paper is numerical computation of Hopf bifurcations applied to Navier-Stokes equa...
Abstract. The reduced basis method is a model order reduction method for parametrized partial differ...
The reduced basis method allows to propose accurate approximations for many parameter dependent part...
International audienceThis paper deals with the computation of Hopf bifurcation points in fluid mech...
Numerical simulations currently represent one of the most efficient ways of studying complex physica...
Model order reduction is an essential tool for control design and multi-query simulation in real-tim...
We consider the Hyper-reduction technique [1], in the framework of parametric structural dynamic pro...
International audienceThere are many recent studies concerning reduced-order computational methods, ...
International audienceThis work deals with the computation of Hopf bifurcation points in the framewo...
In this paper we apply a reduced basis framework for the computation of flow bifurcation (and stabil...
International audienceThis paper deals with the extension of proper generalized decomposition method...
This paper deals with the extension of Proper Generalized Decomposition (PGD) methods to non-linear ...
In this thesis we consider the reduced basis element method for approximating the solution of parame...
In structural dynamics, the prediction of the response of systems with localized nonlinearities, suc...
This paper presents a computational framework for model order reduction of viscoelastic fluid flows,...
The subject of the paper is numerical computation of Hopf bifurcations applied to Navier-Stokes equa...
Abstract. The reduced basis method is a model order reduction method for parametrized partial differ...
The reduced basis method allows to propose accurate approximations for many parameter dependent part...
International audienceThis paper deals with the computation of Hopf bifurcation points in fluid mech...
Numerical simulations currently represent one of the most efficient ways of studying complex physica...
Model order reduction is an essential tool for control design and multi-query simulation in real-tim...
We consider the Hyper-reduction technique [1], in the framework of parametric structural dynamic pro...