Sensitivity analysis of chaotic simulations
Project description
![Travis CI](https://travis-ci.org/qiqi/fds.svg?branch=master)
### Download and use
#### Using git ` git clone https://github.com/qiqi/fds.git ` Then add the directory to
### Tutorials
[First example – Van der Pol oscillator in Python](docs/tutorials/vanderpol_python.md)
[Lorenz attractor in C](docs/tutorials/lorenz_c.md)
[Lorenz 96 in MPI and C](docs/tutorials/lorenz96_mpi.md)
### Guides - [Chaos and statistical convergence](docs/guides/statistics.md) - [Lyapunov exponents and time segmentation](docs/guides/lyapunov.md) - [Save and restart](docs/guides/save_restart.md)
### Reference - [The least squares shadowing algorithm](docs/ref/lss_algorithm.md) - [Function reference](docs/ref/function_ref.md)
[License](LICENSE.md)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Hashes for fds-0.0.2.dev1-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | cb89285696b19c8d7e5f53e48298292686a949c44d3bbef3413432b11e77cf9d |
|
MD5 | 87f557c2e07b673121429cd07bc7b343 |
|
BLAKE2b-256 | 937a151cec0f136d711422f077a471a39506222b67a27a830a2931f7f4bec10a |