Metadata-Version: 1.1
Name: pyodesys
Version: 0.5.3
Summary: Straightforward numerical integration of ODE systems from SymPy.
Home-page: https://github.com/bjodah/pyodesys
Author: Björn Dahlgren
Author-email: bjodah@DELETEMEgmail.com
License: BSD
Description: pyodesys
        ========
        
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           :alt: PyPI version
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           :alt: coverage
        
        `pyodesys <https://github.com/bjodah/pyodesys>`_ provides a straightforward way
        of numerically integrating systems of ordinary differential equations. It unifies
        the interface of several libraries. It also provides a convenience class for 
        representing and integrating ODE systems defined by `SymPy <http://www.sympy.org>`_
        expressions.
        
        The numerical integration is perfomed using eiher:
        
        - `scipy.integrate.ode <http://docs.scipy.org/doc/scipy/reference/generated/scipy.integrate.ode.html>`_
        - `pygslodeiv2 <https://github.com/bjodah/pygslodeiv2>`_
        - `pyodeint <https://github.com/bjodah/pyodeint>`_
        - `pycvodes <https://github.com/bjodah/pycvodes>`_
        
        
        Note that implicit steppers which require a user supplied
        callback for calculating the jacobian is provided automatically by pyodesys.
        
        Documentation
        -------------
        Autogenerated API documentation for latest stable release is found here:
        `<https://pythonhosted.org/pyodesys>`_
        (and development docs for the current master branch are found here:
        `<http://hera.physchem.kth.se/~pyodesys/branches/master/html>`_).
        
        
        Installation
        ------------
        Simplest way to install pyodesys and its (optional) dependencies is to use the `conda package manager <http://conda.pydata.org/docs/>`_:
        
        ::
        
           $ conda install -c bjodah pyodesys pytest
           $ python -m pytest --pyargs pyodesys
        
        alternatively you may also use `pip`:
        
        ::
        
           $ python -m pip install --user pyodesys[all]
        
        see `setup.py`_ for optional requirements.
        
        Source distribution is available here:
        `<https://pypi.python.org/pypi/pyodesys>`_
        
        Example
        -------
        The classic van der Pol oscillator (see `examples/van_der_pol.py <examples/van_der_pol.py>`_)
        
        .. code:: python
        
           >>> from pyodesys.symbolic import SymbolicSys
           >>> def f(t, y, p):
           ...     return [y[1], -y[0] + p[0]*y[1]*(1 - y[0]**2)]
           ...
           >>> odesys = SymbolicSys.from_callback(f, 2, 1)
           >>> xout, yout, info = odesys.integrate(10, [1, 0], [1], integrator='odeint')
           >>> _ = odesys.plot_result()
           >>> import matplotlib.pyplot as plt; plt.show()  # doctest: +SKIP
        
        .. image:: https://raw.githubusercontent.com/bjodah/pyodesys/master/examples/van_der_pol.png
        
        for more examples, see `examples/ <https://github.com/bjodah/pyodesys/tree/master/examples>`_, and rendered jupyter notebooks here:
        `<http://hera.physchem.kth.se/~pyodesys/branches/master/examples>`_
        
        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/pyodesys
        
        Author
        ------
        Björn I. Dahlgren, contact:
        
        - gmail address: bjodah
        - kth.se address: bda
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
