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  Symplectic Gaussian process regression of maps in Hamiltonian systems

Rath, K., Albert, C. G., Bischl, B., & Toussaint, U. v. (2021). Symplectic Gaussian process regression of maps in Hamiltonian systems. Chaos, 31: 053121. doi:10.1063/5.0048129.

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rath_symplectic.pdf (Supplementary material), 9MB
 
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https://doi.org/10.1063/5.0048129 (Publisher version)
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 Creators:
Rath, K.1, 2, Author           
Albert, C. G.1, Author           
Bischl, B.2, Author
Toussaint, U. von1, Author           
Affiliations:
1Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856344              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20202021
 Publication Status: Issued
 Pages: 24 p.
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1063/5.0048129
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Title: Chaos
  Other : Chaos : an interdisciplinary journal of nonlinear science
Source Genre: Journal
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Publ. Info: Woodbury, NY : American Institute of Physics
Pages: - Volume / Issue: 31 Sequence Number: 053121 Start / End Page: - Identifier: ISSN: 1054-1500
CoNE: https://pure.mpg.de/cone/journals/resource/954922836228