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Conference Paper

Application of Krylov-type Parametric Model Order Reduction in Efficient Uncertainty Quantification of Electro-thermal Circuit Models

MPS-Authors
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Yue,  Yao
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Feng,  Lihong
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Benner,  Peter
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Fulltext (public)

2223025_yue.pdf
(Publisher version), 371KB

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Citation

Yue, Y., Feng, L., Meuris, P., Schoenmaker, W., & Benner, P. (2015). Application of Krylov-type Parametric Model Order Reduction in Efficient Uncertainty Quantification of Electro-thermal Circuit Models. In Proceedings of the Progress In Electromagnetics Research Symposium (PIERS 2015) (pp. 379-384).


Cite as: http://hdl.handle.net/11858/00-001M-0000-0028-E3FA-F
Abstract
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