Python numerical optimization toolbox
MIT License
This toolob aim at providing a unified interface to generic optimizers for standard (LP,QP) and gradient based optimization problems (LBFGS, Proximal Splitting, Projected gradient).
As of now it provides the following solvers:
Planned integration are:
The library has been tested on Linux, MacOSX and Windows.
The following Python modules are necessary and intalled automaticaly with:
The following modules are optional but obviously necessary to the solvers using them:
You can install the toolbox by downloading it and then running:
python setup.py install --user # for user install (no root)
The main contributors of this module are: