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Sensitivity analysis of chaotic simulations

Project description

.. figure::
:alt: Travis CI

.. toctree::
:maxdepth: 5


What's it for

fds is a research tool for computational simulations that exhibis
chaotic dynamics. It computes sensitivity derivatives of time averaged
quantities, a.k.a. statistics, with respect simulation parameters.

For an introduction of chaotic dynamics, I highly recommend `Strogatz's
excellent book <>`__. For a
statistical view of chaotic dynamical systems, please refer to
article <>`__
Algorithm used in this software is described in `the upcoming AIAA
paper <>`__

Download and use

The best way to download fds is using pip. Pip is likely included in
your Python installation. If not, see `instruction
here <>`__. To install fds
using pip, simply type


sudo pip install fds


- `First example -- Van der Pol oscillator in Python <tutorials/src/vanderpol_python/vanderpol>`__
- `Lorenz attractor in C <docs/tutorials/>`__
- `Lorenz 96 in MPI and C <docs/tutorials/>`__


- `Chaos and statistical convergence <docs/guides/>`__
- `Lyapunov exponents and time
segmentation <docs/guides/>`__
- `Save and restart <docs/guides/>`__


- `The least squares shadowing algorithm <docs/ref/>`__
- `Function reference <docs/ref/>`__
- `License <>`__

Project details

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