Data for: Self-regularization of Hamiltonian systems

Published: 25 Jun 2019 | Version 1 | DOI: 10.17632/xbw4vf53dh.1

Description of this data

Python scripts with an implementation of self-regularized rigid body rotation.

Experiment data files

This data is associated with the following publication:

Ehrenfest regularization of Hamiltonian systems

Published in: Physica D: Nonlinear Phenomena

Latest version

  • Version 1


    Published: 2019-06-25

    DOI: 10.17632/xbw4vf53dh.1

    Cite this dataset

    Pavelka, Michal; Klika, Vaclav (2019), “Data for: Self-regularization of Hamiltonian systems”, Mendeley Data, v1


Views: 41
Downloads: 2


Computer Simulation


CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.