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Error Analysis of the Dynamically Orthogonal Approximation of Time Dependent Random PDEs

Publications associées (50)

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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

Error Analysis of the Dynamically Orthogonal Approximation of Time Dependent Random PDEs

Graph Chatbot

Chattez avec Graph Search

MATHICSE Technical Report : Multi-index stochastic collocation convergence rates for random PDEs with parametric regularity

A continuation multilevel Monte Carlo algorithm

Analysis and Computation of Hyperbolic PDEs with Random Data

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Lyapunov exponents of random walks in small random potential: the upper bound

MATHICSE Technical Report : On the dynamically orthogonal approximation of time dependent random PDEs

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Isogeometric Analysis of Electrophysiological Models on Surfaces

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

MATHICSE Technical Report : On the dynamically orthogonal approximation of time dependent random PDEs

MATHICSE Technical Report : Optimization of mesh hierarchies in multilevel Monte Carlo samplers

Isogeometric Analysis of Electrophysiological Models on Surfaces

Lyapunov exponents of random walks in small random potential: the upper bound

Incentive Schemes for Participatory Sensing

MATHICSE Technical Report : Multi-index stochastic collocation convergence rates for random PDEs with parametric regularity

Analysis and Computation of Hyperbolic PDEs with Random Data

A continuation multilevel Monte Carlo algorithm

MATHICSE Technical Report : A continuation multilevel Monte Carlo algorithm

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