Symplectic Gaussian process regression of maps in Hamiltonian systems

Katharina Rath, Christopher G. Albert, Bernd Bischl, Udo von Toussaint

Open source

DOI: 10.1063/5.0048129
Published: 2021-05-01
Container: Chaos: An Interdisciplinary Journal of Nonlinear Science
Publisher: AIP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1063/5.0048129,
  title = {Symplectic Gaussian process regression of maps in Hamiltonian systems},
  author = {Katharina Rath and Christopher G. Albert and Bernd Bischl and Udo von Toussaint},
  year = {2021},
  journal = {Chaos: An Interdisciplinary Journal of Nonlinear Science},
  doi = {10.1063/5.0048129},
  url = {https://doi.org/10.1063/5.0048129}
}

RIS

TY  - JOUR
TI  - Symplectic Gaussian process regression of maps in Hamiltonian systems
AU  - Katharina Rath
AU  - Christopher G. Albert
AU  - Bernd Bischl
AU  - Udo von Toussaint
PY  - 2021
JO  - Chaos: An Interdisciplinary Journal of Nonlinear Science
DO  - 10.1063/5.0048129
UR  - https://doi.org/10.1063/5.0048129
ER  -

APA

Rath, K., Albert, C. G., Bischl, B., & Toussaint, U. V. (2021). Symplectic Gaussian process regression of maps in Hamiltonian systems. Chaos: An Interdisciplinary Journal of Nonlinear Science. https://doi.org/10.1063/5.0048129

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crossref · retrieved 2026-09-24T18:34:20.404Z