https://github.com/rcv911/lyapunov-indicators
Calculating Lyapunov indicators with multiprocessing in Python
https://github.com/rcv911/lyapunov-indicators
data-analysis lyapunov lyapunov-indicators multiprocessing
Last synced: 5 months ago
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Calculating Lyapunov indicators with multiprocessing in Python
- Host: GitHub
- URL: https://github.com/rcv911/lyapunov-indicators
- Owner: rcv911
- Created: 2017-12-22T16:30:29.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-12-22T17:09:55.000Z (over 8 years ago)
- Last Synced: 2023-11-29T20:43:08.413Z (over 2 years ago)
- Topics: data-analysis, lyapunov, lyapunov-indicators, multiprocessing
- Language: Python
- Homepage:
- Size: 5.15 MB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Lyapunov indicators
## Description
It's characteristic of a dynamical system in nonlinear dynamic.
We are going to use [this function](http://www.wolframalpha.com/input/?i=lambda-x%5E2) like test data.
## Motivation
It's part of data analysis. We use simple function, but here's [example](doc/aa25878-15.pdf) of why we should calculate Lyapunov indicators.
It helps in the study of chaos.
## Learn more
- [Wiki](https://en.wikipedia.org/wiki/Lyapunov_exponent)
- [Celestial Mechanics](doc/Celletti-Stability-Celestial-Mechanics.pdf)
- [Theory and Applications of the Fast Lyapunov Indicator (FLI) Method](https://www.researchgate.net/publication/298787936_Theory_and_Applications_of_the_Fast_Lyapunov_Indicator_FLI_Method)
## Installation
You can use [Python](https://www.python.org/) with data package: [Anaconda](https://www.anaconda.com/) or [Miniconda](https://conda.io/miniconda).
There's another way - use [Portable Python](http://portablepython.com/). Also you can use whatever IDE for Python.
## License
Free