Publications associées à MATHICSE Technical Report : Multilevel weighted least squares polynomial approximation

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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 : Multilevel weighted least squares polynomial approximation

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What's the Frequency, Kenneth?: Sublinear Fourier Sampling Off the Grid

MATHICSE Technical Report : Discrete least squares polynomial approximation with random evaluations – application to parametric and stochastic elliptic PDES

Analysis of Discrete L2 Projection on Polynomial Spaces with Random Evaluations

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

A preconditioned low-rank CG method for parameter-dependent Lyapunov matrix equations

High-throughput scanning electrochemical microscopy brushing of strongly tilted and curved surfaces

Learning Ridge Functions With Randomized Sampling In High Dimensions

MATHICSE Technical Report : Analysis of the discrete $L^2$ projection on polynomial spaces with random evaluations

Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

What's the Frequency, Kenneth?: Sublinear Fourier Sampling Off the Grid

Analysis of Discrete L2 Projection on Polynomial Spaces with Random Evaluations

Calibration and field application of passive sampling for episodic exposure to polar organic pesticides in streams

MATHICSE Technical Report : Discrete least squares polynomial approximation with random evaluations – application to parametric and stochastic elliptic PDES

High-throughput scanning electrochemical microscopy brushing of strongly tilted and curved surfaces

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

A preconditioned low-rank CG method for parameter-dependent Lyapunov matrix equations

Learning Ridge Functions With Randomized Sampling In High Dimensions

MATHICSE Technical Report : Analysis of the discrete $L^2$ projection on polynomial spaces with random evaluations

Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications