Pykinsol
Python wrapper around KINSOL (from the sundials library)
Install / Use
/learn @bjodah/PykinsolREADME
pykinsol
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pykinsol <https://github.com/bjodah/pykinsol>_ provides a
Python <http://www.python.org>_ binding to the
Nonlinear system of equation <https://en.wikipedia.org/wiki/Nonlinear_system>_
solver algorithms from kinsol <https://computation.llnl.gov/casc/sundials/description/description.html#descr_kinsol>_ in the
SUNDIALS suite <https://computation.llnl.gov/casc/sundials/main.html>_. pykinsol allows a user to numerically solve
(systems of) non-linear equations. Note that not all functionality of KINSOL are currently exposed in the python wrapper. Additional functionality is however easy to add if needed.
You may also want to know that you can use pykinsol from
pyneqsys <https://github.com/bjodah/pyneqsys>_
which can e.g. derive the Jacobian analytically for you.
Documentation
Autogenerated API documentation is found here <http://hera.physchem.kth.se/~pykinsol/branches/master/html>_.
Installation
Simplest way to install pykinsol is to use the
conda package manager <http://conda.pydata.org/docs/>_:
::
$ conda install -c bjodah pykinsol pytest $ python -m pytest --pyargs pykinsol
tests should pass.
Binary distribution is available here:
<https://anaconda.org/bjodah/pykinsol>_
Source distribution is available here:
<https://pypi.python.org/pypi/pykinsol>_
To compile from source you may proceed e.g. as follows:
::
$ LLAPACK=openblas python3.4 setup.py install --user
where we specified specifically what LAPACK implementation we used for building SUNDIALS.
Examples
See examples/ <https://github.com/bjodah/pykinsol/tree/master/examples>, and rendered jupyter notebooks here:
<http://hera.physchem.kth.se/~pykinsol/branches/master/examples>
Here is a simple example:
.. code:: python
def f(x, fout): ... fout[0] = x[0] + (x[0] - x[1])**3/2 - 1 ... fout[1] = x[1] + (x[1] - x[0])**3/2 ... def j(x, Jout, fx): ... Jout[0, 0] = 1 + 3/2 * (x[0] - x[1])**2 ... Jout[0, 1] = -3/2 * (x[0] - x[1])**2
... Jout[1, 0] = -3/2 * (x[1] - x[0])**2
... Jout[1, 1] = 1 + 3/2 * (x[1] - x[0])**2 ... from pykinsol import solve result = solve(f, j, [0, 0]) assert result['success'] print(result['x']) # doctest: +SKIP [ 0.84116389 0.15883611]
License
The source code is Open Source and is released under the simplified 2-clause BSD license. See LICENSE <LICENSE>_ for further details.
Contributors are welcome to suggest improvements at https://github.com/bjodah/pykinsol
Author
Björn I. Dahlgren, contact:
- gmail address: bjodah
