Dimensionality reduction in thermal tomography

DOI10.1016/j.camwa.2019.04.019zbMath1443.80017OpenAlexW2944092117WikidataQ127920164 ScholiaQ127920164MaRDI QIDQ2203557

Yanyan Li

Publication date: 7 October 2020

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2019.04.019

zbMATH Keywords

random fieldBayesian inferenceheat transportKarhunen-Loève expansionthermal tomography

Mathematics Subject Classification ID

Random fields (60G60) Bayesian inference (62F15) Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs (65M60) Diffusive and convective heat and mass transfer, heat flow (80A19)

Related Items (2)

Sparse polynomial chaos expansions for uncertainty quantification in thermal tomography ⋮ Efficient inverse solvers for thermal tomography

Uses Software

• BayesDA

Cites Work

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• Inverse Problem Theory and Methods for Model Parameter Estimation
• An inverse problem in differential equations
• Random Fields
• Reconstruction of thermal conductivity and heat capacity using a tomographic approach

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