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High Dimensional Uncertainty Quantification for an Electrothermal Field Problem using Stochastic Collocation on Sparse Grids and Tensor Train Decomposition

Loukrezis, Dimitrios and Römer, Ulrich and Casper, Thorben and Schöps, Sebastian and De Gersem, Herbert (2018):
High Dimensional Uncertainty Quantification for an Electrothermal Field Problem using Stochastic Collocation on Sparse Grids and Tensor Train Decomposition.
In: International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 31 (2), ISSN 1099-1204,
[Online-Edition: https://doi.org/10.1002/jnm.2222],
[Article]

Item Type: Article
Erschienen: 2018
Creators: Loukrezis, Dimitrios and Römer, Ulrich and Casper, Thorben and Schöps, Sebastian and De Gersem, Herbert
Title: High Dimensional Uncertainty Quantification for an Electrothermal Field Problem using Stochastic Collocation on Sparse Grids and Tensor Train Decomposition
Language: English
Journal or Publication Title: International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
Volume: 31
Number: 2
Uncontrolled Keywords: uq
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute of Electromagnetic Field Theory (from 01.01.2019 renamed Institute for Accelerator Science and Electromagnetic Fields)
18 Department of Electrical Engineering and Information Technology > Institute of Electromagnetic Field Theory (from 01.01.2019 renamed Institute for Accelerator Science and Electromagnetic Fields) > Computational Engineering (from 01.01.2019 renamed Computational Electromagnetics)
Exzellenzinitiative
Exzellenzinitiative > Graduate Schools
Exzellenzinitiative > Graduate Schools > Graduate School of Computational Engineering (CE)
Date Deposited: 23 Sep 2017 16:56
Official URL: https://doi.org/10.1002/jnm.2222
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