Python binding for odeint from boost.
Project description
pyodeint provides a Python binding to odeint. Currently, the following steppers are exposed:
4th order Rosenbrock (implicit) stepper
5th order DOPRI5 (explicit runge-kutta)
Bulirsch-Stoer stepper (modified midpoint rule).
The Rosenbrock4 stepper requires that the user provides a routine for calculating the Jacobian.
Installation
Binary distribution is available here: https://anaconda.org/bjodah/pyodeint
Source distribution is available here: https://pypi.python.org/pypi/pyodeint
Example
The classic van der Pol oscillator (see examples/van_der_pol.py)
>>> from pyodeint import integrate_adaptive # also: integrate_predefined
>>> mu = 1.0
>>> def f(t, y, dydt):
... dydt[0] = y[1]
... dydt[1] = -y[0] + mu*y[1]*(1 - y[0]**2)
...
>>> def j(t, y, Jmat, dfdt):
... Jmat[0, 0] = 0
... Jmat[0, 1] = 1
... Jmat[1, 0] = -1 -mu*2*y[1]*y[0]
... Jmat[1, 1] = mu*(1 - y[0]**2)
... dfdt[0] = 0
... dfdt[1] = 0
...
>>> y0 = [1, 0]; tend=10.0; dt0=1e-8; t0=0.0; atol=1e-8; rtol=1e-8
>>> tout, yout = integrate_adaptive(f, j, y0, t0, tend, dt0, atol, rtol,
... method='rosenbrock4')
>>> import matplotlib.pyplot as plt
>>> plt.plot(tout, yout) # doctest: +SKIP
License
The source code is Open Source and is released under the very permissive “simplified (2-clause) BSD license”. See LICENSE for further details. Contributors are welcome to suggest improvements at https://github.com/bjodah/pyodeint
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.