On the use of the Sparse Grid techniques coupled with Polynomial Chaos

Pietro Marco Congedo 1 Remi Abgrall 1, 2 Gianluca Geraci 1
1 BACCHUS - Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems
Inria Bordeaux - Sud-Ouest, UB - Université de Bordeaux, CNRS - Centre National de la Recherche Scientifique : UMR5800
Abstract : In this work we want to explore potentialities and deficiencies of Sparse Grid techniques coupled with Polynomial Chaos for multi dimensional (up to fifteen) stochastic problems. We used the sparse grid technique to compute the multi dimensional integrals needed to evaluate the coefficients of the polynomial expansion. Aim of this work is to compare several Sparse Grid techniques in terms of computational cost and accuracy with respect to Monte Carlo reference solution. We considered two problems: an algebraic function widely used in literature to test stochastic numerical methods, namely g-function, with poor regularity properties and a stochastic numerical simulation of a monodimensional compressible nozzle, where geometry and operating conditions are functions of random variables. After a detailed study on error computations and on the influence of the probability density function, we investigated the possibility of reducing the number of random variables by means of ANOVA analysis.
Type de document :
[Research Report] RR-7579, INRIA. 2011
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Soumis le : mercredi 23 mars 2011 - 11:32:38
Dernière modification le : jeudi 11 janvier 2018 - 06:22:35
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Pietro Marco Congedo, Remi Abgrall, Gianluca Geraci. On the use of the Sparse Grid techniques coupled with Polynomial Chaos. [Research Report] RR-7579, INRIA. 2011. 〈inria-00579205〉



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