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  Uncertainty Quantification for Maxwell's Equations Using Stochastic Collocation and Model Order Reduction

Benner, P., & Schneider, J. (2015). Uncertainty Quantification for Maxwell's Equations Using Stochastic Collocation and Model Order Reduction. International Journal for Uncertainty Quantification, 5(3), 195-208. doi:10.1615/Int.J.UncertaintyQuantification.2015010170.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0026-CA83-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0000-60C9-1
Genre: Journal Article

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 Creators:
Benner, Peter1, Author           
Schneider, Judith1, Author           
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              

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 Dates: 2015
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1615/Int.J.UncertaintyQuantification.2015010170
Other: 7/15
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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: International Journal for Uncertainty Quantification
Source Genre: Journal
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Pages: - Volume / Issue: 5 (3) Sequence Number: - Start / End Page: 195 - 208 Identifier: -