Publications associées à MATHICSE Technical Report : Automatic reduction of PDEs defined on domains with variable shape

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Approximation of Quantities of Interest in Stochastic PDEs by the Random Discrete $L^2$ Projection on Polynomial Spaces

Fabio Nobile, Giovanni Migliorati, Erik Gustaf Bogislaw Von Schwerin

In this work we consider the random discrete

L^2

projection on polynomial spaces (hereafter RDP) for the approximation of scalar quantities of interest (QOIs) related to the solution of a partial differential equation model with random input parameters. ...

Siam Publications2013

MATHICSE Technical Report : Automatic reduction of PDEs defined on domains with variable shape

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MATHICSE Technical Report : Efficient model reduction of parametrized systems by matrix discrete empirical interpolation

Efficient model reduction of parametrized systems by matrix discrete empirical interpolation

Inexact accurate partitioned algorithms for fluid-structure interaction problems with finite elasticity in haemodynamics

Reduced basis method for the Stokes equations in decomposable parametrized domains using greedy optimization

An improvement on geometrical parameterizations by transfinite maps

Approximation of Quantities of Interest in Stochastic PDEs by the Random Discrete $L^2$ Projection on Polynomial Spaces

Reduction strategies for shape dependent inverse problems in haemodynamics

Reduced Models for Optimal Control, Shape Optimization and Inverse Problems in Haemodynamics

A reduced basis hybrid method for the coupling of parametrized domains represented by fluidic networks

On the optimal polynomial approximation of stochastic PDEs by Galerkin and Collocation methods

Reduced Models for Optimal Control, Shape Optimization and Inverse Problems in Haemodynamics

Inexact accurate partitioned algorithms for fluid-structure interaction problems with finite elasticity in haemodynamics

An improvement on geometrical parameterizations by transfinite maps

Reduction strategies for shape dependent inverse problems in haemodynamics

Approximation of Quantities of Interest in Stochastic PDEs by the Random Discrete $L^2$ Projection on Polynomial Spaces

On the optimal polynomial approximation of stochastic PDEs by Galerkin and Collocation methods

Reduced basis method for the Stokes equations in decomposable parametrized domains using greedy optimization

Efficient model reduction of parametrized systems by matrix discrete empirical interpolation

A reduced basis hybrid method for the coupling of parametrized domains represented by fluidic networks

MATHICSE Technical Report : Efficient model reduction of parametrized systems by matrix discrete empirical interpolation