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Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs

Dinh Dũng, Van Kien Nguyen, Christoph Schwab, Jakob Zech
Springer International Publishing
64.19 € · Paperback

Gaussian Measures Uncertainty Quantification Sparse-Grid Interpolation Smolyak Quadrature Finite Element Methods Parametric and Stochastic PDE Polynomial Chaos High-Dimensional Approximation Partial Differential Equations

The present book develops the mathematical and numerical analysis of linear, elliptic and parabolic partial differential equations (PDEs) with coefficients whose logarithms are modelled as Gaussian random fields (GRFs), in polygonal and polyhedral physical domains. Both, forward and Bayesian inverse...

Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs

Dinh Dũng, Van Kien Nguyen, Christoph Schwab, Jakob Zech
Springer International Publishing
64.19 € · eBook

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