Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs is popular PDF and ePub book, written by Dinh Dũng in 2023-11-16, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs can be Read Online from any device for your convenience.
Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs Book PDF Summary
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 PDE problems subject to GRF priors are considered. Adopting a pathwise, affine-parametric representation of the GRFs, turns the random PDEs into equivalent, countably-parametric, deterministic PDEs, with nonuniform ellipticity constants. A detailed sparsity analysis of Wiener-Hermite polynomial chaos expansions of the corresponding parametric PDE solution families by analytic continuation into the complex domain is developed, in corner- and edge-weighted function spaces on the physical domain. The presented Algorithms and results are relevant for the mathematical analysis of many approximation methods for PDEs with GRF inputs, such as model order reduction, neural network and tensor-formatted surrogates of parametric solution families. They are expected to impact computational uncertainty quantification subject to GRF models of uncertainty in PDEs, and are of interest for researchers and graduate students in both, applied and computational mathematics, as well as in computational science and engineering.
Detail Book of Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs PDF
- Author : Dinh Dũng
- Release : 16 November 2023
- Publisher : Springer Nature
- ISBN : 9783031383847
- Genre : Mathematics
- Total Page : 216 pages
- Language : English
- PDF File Size : 14,6 Mb
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