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Computers & Mathematics with Applications
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Computers & Mathematics with Applications
Article . 2014 . Peer-reviewed
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Article . 2014
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Convergence of quasi-optimal Stochastic Galerkin methods for a class of PDES with random coefficients

Convergence of quasi-optimal stochastic Galerkin methods for a class of PDES with random coefficients
Authors: Beck, Joakim; Nobile, Fabio; Tamellini, Lorenzo; Tempone, Raul;

Convergence of quasi-optimal Stochastic Galerkin methods for a class of PDES with random coefficients

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Keywords

Numerical solutions to stochastic differential and integral equations, Elliptic PDEs with random data, uncertainty quantification, elliptic partial differential equations with random data, subexponential convergence, Best M-terms polynomial approximation, best \(M\)-terms polynomial approximation, Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs, Stability and convergence of numerical methods for boundary value problems involving PDEs, Multivariate polynomial approximation, Subexponential convergence, Stochastic partial differential equations (aspects of stochastic analysis), numerical result, Stochastic Galerkin method, PDEs with randomness, stochastic partial differential equations, stochastic Galerkin method, Uncertainty quantification, Computational methods for stochastic equations (aspects of stochastic analysis), multivariate polynomial approximation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
44
Top 10%
Top 10%
Top 10%
hybrid