optoy

Because optimization is fun!

|unix| |cover| |docs|

.. |unix| image:: https://api.travis-ci.org/casadi/optoy.svg :target: http://travis-ci.org/casadi/optoy :alt: Build Status of the master branch on Linux

.. |docs| image:: https://readthedocs.org/projects/optoy/badge/?version=latest :target: https://readthedocs.org/projects/optoy/?badge=latest :alt: Documentation Status

.. |cover| image:: https://coveralls.io/repos/casadi/optoy/badge.svg?branch=master :target: https://coveralls.io/r/casadi/optoy?branch=master :alt: Coverage Status

Optoy combines the power of casadi <http://casadi.org>_ with a very compact Python user interface. Start optimizing in minutes...

Installation:

.. code-block:: bash

$ pip install git+git://github.com/casadi/optoy.git

Static optimization

.. code-block:: python

from optoy import *

x = var()
y = var()
print "cost = ", minimize((1-x)**2+100*(y-x**2)**2,[x**2+y**2<=1, x+y>=0])
print "sol = ", x.sol, y.sol

Dynamic optimization

.. code-block:: python

from optoy import *

x = state()
y = state()
q = state()
u = control()

T = var(lb=0,init=10)

x.dot = (1-y**2)*x-y+u
y.dot = x
q.dot = x**2+y**2

ocp(T,[u>=-1,u<=1,q.start==0,x.start==1,y.start==0,x.end==0,y.end==0],T=T,N=20)

plot(x.sol)
plot(y.sol)
plot(u.sol)

.. image:: https://cloud.githubusercontent.com/assets/329032/6380987/2a6fec10-bd3e-11e4-81b9-3b047d6e7066.png

Get started with some examples <http://nbviewer.ipython.org/github/casadi/optoy/tree/master/examples/> or by reading the API documentation <http://optoy.readthedocs.org/en/latest/optoy.html> .