Downloads provided by UsageCounts
In this release, the differential CLV method (preprint available soon) has been implemented for all the maps under examples/. The method itself is written in dclvclv in the file src/clvs.py. All the figures in the preprint can be generated by using files of the form plot[name of map].py under `utils/'. If you use this method, please cite Chandramoorthy, N., Wang, Q., An ergodic averaging method to differentiate covariant Lyapunov vectors, submitted.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 12 | |
| downloads | 2 |

Views provided by UsageCounts
Downloads provided by UsageCounts