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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

Polynôme

Graph Chatbot

Chattez avec Graph Search

Ramsey-type results for semi-algebraic relations

Extensions of a result of Elekes and Rónyai

Single machine scheduling with scenarios

Linear Interpolation Of Biomedical Images Using A Data-Adaptive Kernel

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

Sponsored search, market equilibria, and the Hungarian Method

Iterative FBP For Improved Reconstruction Of X-Ray Differential Phase-Contrast Tomograms

Decentralized Anti-coordination Through Multi-agent Learning

Phage display libraries of differently sized bicyclic peptides

On the Sparsity of Wavelet Coefficients for Signals on Graphs

Sponsored search, market equilibria, and the Hungarian Method

Single machine scheduling with scenarios

Linear Interpolation Of Biomedical Images Using A Data-Adaptive Kernel

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

Iterative FBP For Improved Reconstruction Of X-Ray Differential Phase-Contrast Tomograms

Decentralized Anti-coordination Through Multi-agent Learning

Phage display libraries of differently sized bicyclic peptides

On the Sparsity of Wavelet Coefficients for Signals on Graphs

Ramsey-type results for semi-algebraic relations

Extensions of a result of Elekes and Rónyai