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

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 18 Department of Electrical Engineering and Information Technology > Institute of Electromagnetic Field Theory > Computational Engineering (2019 umbenannt in 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
Related URLs:	https://arxiv.org/abs/1610.03863
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