https://github.com/casadi/optoy

Because optimization is fun!
https://github.com/casadi/optoy

Last synced: 6 months ago
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Because optimization is fun!

• Host: GitHub
• URL: https://github.com/casadi/optoy
• Owner: casadi
• License: lgpl-3.0
• Created: 2014-10-21T13:32:37.000Z (almost 11 years ago)
• Default Branch: master
• Last Pushed: 2015-10-06T22:48:07.000Z (about 10 years ago)
• Last Synced: 2025-03-27T04:12:56.653Z (7 months ago)
• Language: Python
• Homepage: http://optoy.casadi.org
• Size: 1.23 MB
• Stars: 8
• Watchers: 6
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

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README

          
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 `_ 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 `_ or by reading the `API documentation `_ .