pyneqsys 0.1.4

Numerical solving of symbolic systems of non-linear equations.

pyneqsys provides a convenience class for representing and solving non-linear equation systems from SymPy expressions.

The numerical root finding is perfomed using either:

• scipy: scipy.optimize.root

• nleq2: pynleq2.solve (unsettled API)

Documentation

Autogenerated API documentation is found here: https://bjodah.github.com/pyneqsys

Installation

Simplest way to install pyneqsys and its dependencies is through the conda package manager:

$ conda install -c bjodah pyneqsys pytest
$ python -m pytest --pyargs pyneqsys

Source distribution is available here: https://pypi.python.org/pypi/pyneqsys

Example

Example reformulated from SciPy documentation:

>>> from pyneqsys import SymbolicSys
>>> neqsys = SymbolicSys.from_callback(
...     lambda x: [(x[0] - x[1])**3/2 + x[0] - 1,
...                (x[1] - x[0])**3/2 + x[1]], 2)
>>> x, sol = neqsys.solve('scipy', [1, 0])
>>> assert sol.success
>>> print(x)
[ 0.8411639  0.1588361]

here we did not need to enter the jacobian manually, SymPy did that for us. For more examples look see examples/, and rendered jupyter notebooks here: http://hera.physchem.kth.se/~pyneqsys/master/examples

License

The source code is Open Source and is released under the simplified 2-clause BSD license. See LICENSE for further details. Contributors are welcome to suggest improvements at https://github.com/bjodah/pyneqsys

Author

Björn I. Dahlgren, contact:

• gmail address: bjodah

• kth.se address: bda