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  Method for reconstructing nonlinear modes with adaptive structure from multidimensional data

Gavrilov, A., Mukhin, D., Loskutov, E., Volodin, E., Feigin, A., Kurths, J. (2016): Method for reconstructing nonlinear modes with adaptive structure from multidimensional data. - Chaos, 26, 123101.
https://doi.org/10.1063/1.4968852

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_21742 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_21742_2
Genre: Journal Article

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Gavrilov, A.1, Author
Mukhin, D.1, Author
Loskutov, E.1, Author
Volodin, E.1, Author
Feigin, A.1, Author
Kurths, Jürgen2, Author              
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1Potsdam Institute for Climate Impact Research and Cooperation Partners, ou_persistent13              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Dates: 2016
 Publication Status: Finally published
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 Identifiers: DOI: 10.1063/1.4968852
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 7668
Working Group: Development of advanced time series analysis techniques
Working Group: Network- and machine-learning-based prediction of extreme events
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Title: Chaos
Source Genre: Journal
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Pages: - Volume / Issue: 26 (123101) Sequence Number: - Start / End Page: - Identifier: -