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

Fabio Nobile, Lorenzo Tamellini

In this work we consider quasi-optimal versions of the Stochastic Galerkin method for solving linear elliptic PDEs with stochastic coefficients. In particular, we consider the case of a finite number

N

of random inputs and an analytic dependence of the s ...

2014

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On the Fusion Strategies for Federated Decision Making

RMSSD Is More Sensitive to Artifacts Than Frequency-Domain Parameters: Implication in Athletes? Monitoring

Examples of normal, not geometrically normal, projective Gorenstein del Pezzo surfaces with at most Du Val singularities

Association of Heart Rate Variability With Silent Brain Infarcts in Patients With Atrial Fibrillation

Complements to Mugge and Friedel's Theory of Twinning

Generalized maximum entropy estimation

Spatial Coupling as a Proof Technique and Three Applications

A Multi Level Monte Carlo Method with Control Variate for elliptic PDEs with log-normal coefficients

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

Sampling Curves with Finite Rate of Innovation

On the Fusion Strategies for Federated Decision Making

RMSSD Is More Sensitive to Artifacts Than Frequency-Domain Parameters: Implication in Athletes? Monitoring

Examples of normal, not geometrically normal, projective Gorenstein del Pezzo surfaces with at most Du Val singularities

Complements to Mugge and Friedel's Theory of Twinning

Spatial Coupling as a Proof Technique and Three Applications

A Multi Level Monte Carlo Method with Control Variate for elliptic PDEs with log-normal coefficients

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

Sampling Curves with Finite Rate of Innovation

Association of Heart Rate Variability With Silent Brain Infarcts in Patients With Atrial Fibrillation

Generalized maximum entropy estimation