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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 ; Römer, Ulrich ; Casper, Thorben ; Schöps, Sebastian ; 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,
[Article]

Item Type: Article
Erschienen: 2018
Creators: Loukrezis, Dimitrios ; Römer, Ulrich ; Casper, Thorben ; Schöps, Sebastian ; 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
Journal 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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