semvec/pypi-packages huggingface dataset:
riccati 2.0.0
adaptive Riccati defect correction solver
License: Apache 2.0

![Riccati logo](https://github.com/fruzsinaagocs/riccati/blob/master/logo.png?raw=true)


# riccati

**A package implementing the adaptive Riccati defect correction (ARDC) method**

[![DOI](https://joss.theoj.org/papers/10.21105/joss.05430/status.svg)](https://doi.org/10.21105/joss.05430)
[![Documentation Status](https://readthedocs.org/projects/riccati/badge/?version=latest)](https://riccati.readthedocs.io/en/latest/?badge=latest)
[![codecov](https://codecov.io/gh/fruzsinaagocs/riccati/branch/master/graph/badge.svg?token=XA47G7P1XM)](https://codecov.io/gh/fruzsinaagocs/riccati)

## About

`riccati` is a `Python` package for solving ODEs of the form

$$ u''(t) + 2\gamma(t)u'(t) + \omega^2(t)u(t) = 0,$$

on some solution interval $t \in [t_0, t_1]$, and with initial conditions $u(t_0) = u_0$, $u'(t_0) = u'_0$.

`riccati` uses the adaptive Riccati defect correction method -- it switches
between using nonoscillatory (spectral Chebyshev) and a specialised oscillatory
solver (Riccati defect correction) to propagate the numerical solution based on
its behaviour. For more details on the algorithm, please see [Attribution](https://github.com/fruzsinaagocs/riccati/blob/master/README.md#Attribution).

## Documentation

Read the documentation at [riccati.readthedocs.io](http://riccati.readthedocs.io).

## Attribution

If you find this code useful in your research, please cite 
[Agocs & Barnett (2022)](https://arxiv.org/abs/2212.06924). Its BibTeX entry is

    @ARTICLE{ardc,
           author = {{Agocs}, Fruzsina J. and {Barnett}, Alex H.},
            title = "{An adaptive spectral method for oscillatory second-order
            linear ODEs with frequency-independent cost}",
          journal = {arXiv e-prints},
         keywords = {Mathematics - Numerical Analysis},
             year = 2022,
            month = dec,
              eid = {arXiv:2212.06924},
            pages = {arXiv:2212.06924},
              doi = {10.48550/arXiv.2212.06924},
    archivePrefix = {arXiv},
           eprint = {2212.06924},
     primaryClass = {math.NA},
           adsurl = {https://ui.adsabs.harvard.edu/abs/2022arXiv221206924A},
          adsnote = {Provided by the SAO/NASA Astrophysics Data System}
    }

## License 

Copyright 2022-2023 The Simons Foundation, Inc.

**riccati** is free software available under the Apache License 2.0, for
details see the [LICENSE](https://github.com/fruzsinaagocs/riccati/blob/master/LICENSE).