Record link: 
https://doi.org/10.34726/hss.2024.100422
http://hdl.handle.net/20.500.12708/200055
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Title: 
Optimal Bayesian inversion in computational uncertainty quantification for PDE models
en
Citation: 
Karimi, A. (2024). Optimal Bayesian inversion in computational uncertainty quantification for PDE models [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.100422
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reposiTUm DOI: 
10.34726/hss.2024.100422
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CatalogPlus: 
AC17281158
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Publication Type: 
Thesis - Dissertation
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Language: 
English
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Authors: 
Karimi, Ahmad 
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Advisor: 
Heitzinger, Clemens 
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Organisational Unit: 
E101 - Institut für Analysis und Scientific Computing 
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Date (published): 
2024
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Number of Pages: 
113
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Keywords: 
Uncertainty Quantification; Bayesian Inversion; Optimal Experimental Design; Expected Information Gain (EIG); PDE Models; Electrical Impedance Tomography (EIT); Computational Science and Engineering
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License: 
In Copyright
de
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