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        "description": "pyodeint\n========\n\n.. image:: http://hera.physchem.kth.se:9090/api/badges/bjodah/pyodeint/status.svg\n   :target: http://hera.physchem.kth.se:9090/bjodah/pyodeint\n   :alt: Build status\n.. image:: https://circleci.com/gh/bjodah/pyodeint.svg?style=svg\n   :target: https://circleci.com/gh/bjodah/pyodeint\n   :alt: Build status on CircleCI\n.. image:: https://secure.travis-ci.org/bjodah/pyodeint.svg?branch=master\n   :target: http://travis-ci.org/bjodah/pyodeint\n   :alt: Build status on Travis-CI\n.. image:: https://ci.appveyor.com/api/projects/status/d1vrxhurajou324f?svg=true\n   :target: https://ci.appveyor.com/project/bjodah/pyodeint\n   :alt: Build status on AppVeyor\n.. image:: https://img.shields.io/pypi/v/pyodeint.svg\n   :target: https://pypi.python.org/pypi/pyodeint\n   :alt: PyPI version\n.. image:: https://img.shields.io/pypi/l/pyodeint.svg\n   :target: https://github.com/bjodah/pyodeint/blob/master/LICENSE\n   :alt: License\n.. image:: http://hera.physchem.kth.se/~pyodeint/branches/master/htmlcov/coverage.svg\n   :target: http://hera.physchem.kth.se/~pyodeint/branches/master/htmlcov\n   :alt: coverage\n.. image:: https://zenodo.org/badge/41257136.svg\n   :target: https://zenodo.org/badge/latestdoi/41257136\n\n`pyodeint <https://github.com/bjodah/pyodeint>`_ provides a\n`Python <http://www.python.org>`_ binding to `odeint <http://www.odeint.com>`_.\nCurrently, the following steppers are exposed:\n\n- ``rosenbrock4``: 4th order Rosenbrock (implicit multistep) stepper\n- ``dopri5``: 5th order DOPRI5 (explicit runge-kutta)\n- ``bs``: Bulirsch-Stoer stepper (modified midpoint rule).\n\nThe Rosenbrock4 stepper requires that the user provides a routine for\ncalculating the Jacobian.\n\nYou may also want to know that you can use ``pyodeint`` from\n`pyodesys <https://github.com/bjodah/pyodesys>`_\nwhich can e.g. derive the Jacobian analytically for you (pyodesys also provides\nplotting functions, C++ code-generation and more).\n\nDocumentation\n-------------\nAutogenerated API documentation for latest stable release is found here:\n`<https://bjodah.github.io/pyodeint/latest>`_\n(and the development version for the current master branch are found here:\n`<http://hera.physchem.kth.se/~pyodeint/branches/master/html>`_).\n\n\nInstallation\n------------\nSimplest way to install is to use the `conda package manager <http://conda.pydata.org/docs/>`_:\n\n::\n\n   $ conda install -c conda-forge pyodeint pytest\n   $ python -m pytest --pyargs pyodeint\n\ntests should pass.\n\nBinary distribution is available here:\n`<https://anaconda.org/bjodah/pyodeint>`_\n\nSource distribution is available here:\n`<https://pypi.python.org/pypi/pyodeint>`_\n\nhere is an example of how to build from source::\n\n   $ CPATH=/opt/boost_1_65_0/include python3 setup.py build_ext -i\n\n\nExamples\n--------\nThe classic van der Pol oscillator (see `examples/van_der_pol.py <examples/van_der_pol.py>`_)\n\n.. code:: python\n\n   >>> from pyodeint import integrate_adaptive  # also: integrate_predefined\n   >>> mu = 1.0\n   >>> def f(t, y, dydt):\n   ...     dydt[0] = y[1]\n   ...     dydt[1] = -y[0] + mu*y[1]*(1 - y[0]**2)\n   ... \n   >>> def j(t, y, Jmat, dfdt, fy=None):\n   ...     Jmat[0, 0] = 0\n   ...     Jmat[0, 1] = 1\n   ...     Jmat[1, 0] = -1 -mu*2*y[1]*y[0]\n   ...     Jmat[1, 1] = mu*(1 - y[0]**2)\n   ...     dfdt[0] = 0\n   ...     dfdt[1] = 0\n   ...\n   >>> y0 = [1, 0]; tend=10.0; dt0=1e-8; t0=0.0; atol=1e-8; rtol=1e-8\n   >>> tout, yout, info = integrate_adaptive(f, j, y0, t0, tend, dt0, atol, rtol,\n   ...                                       method='rosenbrock4', nsteps=1000)\n   >>> import matplotlib.pyplot as plt\n   >>> series = plt.plot(tout, yout)\n   >>> plt.show()  # doctest: +SKIP\n\n\n.. image:: https://raw.githubusercontent.com/bjodah/pyodeint/master/examples/van_der_pol.png\n\nFor more examples see `examples/ <https://github.com/bjodah/pyodeint/tree/master/examples>`_, and rendered jupyter notebooks here:\n`<http://hera.physchem.kth.se/~pyodeint/branches/master/examples>`_\n\nSee also\n--------\n`pyodesys <https://github.com/bjodah/pyodesys>`_ for how to automatically\ngenerate the jacobian callback function (and easily swtich to other solvers).\n\nLicense\n-------\nThe source code is Open Source and is released under the very permissive\n\"simplified (2-clause) BSD license\". See ``LICENSE`` for further details.\nContributors are welcome to suggest improvements at https://github.com/bjodah/pyodeint\n\nAuthor\n------\nBj\u00f6rn I. Dahlgren, contact:\n\n- gmail address: bjodah\n- kth.se address: bda",
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