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

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...

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Bibliographic Details

Main Authors:	Dũng, Dinh (Author), Nguyen, Van Kien (Author), Schwab, Christoph (Author), Zech, Jakob (Author)
Corporate Author:	SpringerLink (Online service)
Format:	Electronic eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Edition:	1st ed. 2023.
Series:	Lecture Notes in Mathematics, 2334
Subjects:	Differential equations. Probabilities. Numerical analysis. Functional analysis. Differential Equations. Probability Theory. Numerical Analysis. Functional Analysis.
Online Access:	https://doi.org/10.1007/978-3-031-38384-7
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