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Adaptive and Reduced Basis methods for optimal control problems in environmental applications

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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

Adaptive and Reduced Basis methods for optimal control problems in environmental applications

Graph Chatbot

Chattez avec Graph Search

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

A combination between the reduced basis method and the ANOVA expansion: On the computation of sensitivity indices

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A Numerical Study on Wave Transmission Across Multiple Intersecting Joint Sets in Rock Masses with UDEC

A combination between the reduced basis method and the ANOVA expansion: On the computation of sensitivity indices

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

A Weighted Reduced Basis Method For Elliptic Partial Differential Equations With Random Input Data

BPX-preconditioning for isogeometric analysis

Reduced basis method for parametrized elliptic optimal control problems

Multilevel Monte Carlo methods for stochastic elliptic multiscale PDEs