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

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).

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0028-E3FA-F Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-9FEA-B
Genre: Conference Paper

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2223025_yue.pdf (Publisher version), 371KB
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 Creators:
Yue, Yao1, Author           
Feng, Lihong1, Author           
Meuris, Peter2, Author
Schoenmaker, Wim2, Author
Benner, Peter1, Author           
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
2MAGWEL NV, Martelarenplein 13, Leuven B-3000, Belgium, ou_persistent22              

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 Dates: 2015
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: URI: http://piers.org/piersproceedings/piers2015PragueProc.php?searchname=Lihong+Feng
DOI: 10.17617/2.2223025
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Title: 36th Progress In Electromagnetics Research Symposium
Place of Event: Prague, Czech Republic
Start-/End Date: 2015-07-06 - 2015-07-09

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Project name : nanoCOPS - Nanoelectronic COupled Problems Solutions
Grant ID : 619166
Funding program : Funding Programme 7 (FP7)
Funding organization : European Commission (EC)

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Title: Proceedings of the Progress In Electromagnetics Research Symposium (PIERS 2015)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 379 - 384 Identifier: -