oBB 0.2a

Parallel global optimization of Hessian Lipschitz continuous functions.

oBB is an algorithm for the parallel global optimization of functions with Lipchitz continuous gradient or Hessian.

Documentation

HTML documentation is available at http://packages.python.org/oBB

Requirements

oBB requires the following software to be installed:

• Python 2.6 to 2.7 (http://www.python.org/)

• A working implementation of MPI-2 (e.g. OpenMPI, http://www.open-mpi.org/)

Additionally, the following python packages should be installed (these will be installed automatically if using pip, see Installation using pip (recommended)):

• NumPy 1.3.0 or higher (http://www.numpy.org/)

• MPI for Python 1.3 or higher (http://mpi4py.scipy.org/)

• CVXOPT 1.1.3 or higher (http://cvxopt.org/)

Optionally, the following software may be manually installed for added functionality:

• matplotlib 1.1.0 or higher (http://www.matplotlib.org/) - for visualising the algorithm in 2D

Installation using pip (recommended)

For easy installation, use pip (http://www.pip-installer.org/):

$ [sudo] pip install obb

or alternatively easy_install (deprecated):

$ [sudo] easy_install obb

If you do not have root privileges or you want to install oBB for your private use, you can use:

$ pip install --user obb

which will install oBB in your home directory.

Manual installation

Alternatively, you can download the source code and unpack as follows:

$ wget http://pypi.python.org/packages/source/o/oBB/oBB-X.X.tar.gz
$ tar -xzvf oBB-X.X.tar.gz
$ cd oBB-X.X

and then build and install manually using:

$ python setup.py build
$ python setup.py install

If you do not have root privileges or you want to install oBB for your private use, you can use:

$ python setup.py install --user

instead.

Uninstallation

If oBB was installed using pip you can uninstall as follows:

$ [sudo] pip uninstall obb

If oBB was installed manually you have to remove the installed files by hand (located in your python site-packages directory).