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CUTEst is the latest evolution of CUTE, the constrained and unconstrained testing environment for numerical optimization.
Linux and OSX users wishing to install with gcc/gfortran may install CUTEst using the Homebrew package manager.
To use CUTEst, you will need to install three packages, ARCHDefs, SIFDecode and CUTEst. To keep things simple, install all three packages in the same directory:
- To download ARCHDefs using svn,
svn checkout --username anonymous https://github.com/ralna/ARCHDefs/trunk ./archdefs
(with a blank password if prompted), or, using git,
git clone https://github.com/ralna/ARCHDefs ./archdefs
or go to the web page
https://github.com/optimizers/archdefs-mirror/releases
and download/unpack one of the available stable zip or tar bundles.
- To download SIFDecode using svn,
svn checkout --username anonymous https://github.com/ralna/SIFDecode/trunk ./sifdecode
(with a blank password if prompted), or, using git,
git clone https://github.com/ralna/SIFDecode ./sifdecode
or go to the web page
https://github.com/optimizers/sifdecode-mirror/releases
and download/unpack one of the available stable zip or tar bundles.
- To download CUTEst using svn,
svn checkout --username anonymous https://github.com/ralna/CUTEst/trunk ./cutest
(with a blank password if prompted), or, using git,
git clone https://github.com/ralna/CUTEst ./cutest
or go to the web page
https://github.com/optimizers/cutest-mirror/releases
and download/unpack one of the available stable zip or tar bundles.
Next, set the environment variables $ARCHDEFS, $SIFDECODE and $CUTEST, respectively, to point to the instalation directories used above. If you intend to use the Matlab interfaces, also set the environment variable $MYMATLAB to point to the directory containing your installed Matlab; Matlab's mex executable should be found under $MYMATLAB/bin. You may also wish to consult the README in $CUTEST.
Now move to the ./cutest directory, enter the command $ARCHDEFS/install_optrove and follow the instructions.
Remember to set the environment variables as indicated by the installation scripts.
To obtain the test problem set, either download it using
git clone https://bitbucket.org/optrove/sif ./sif
or download/unpack one of the available stable zip or tar bundles from
https://gitlab.com/dpo/mastsif-mirror/tags
or see
https://www.cuter.rl.ac.uk/mastsif.html
A further set of quadratic programming test problems by Maros and Meszaros may be downloaded using
git clone https://bitbucket.org/optrove/maros-meszaros ./marosmeszaros
or download/unpack one of the available stable zip or tar bundles from
https://github.com/optimizers/maros-meszaros-mirror/releases
or see
https://www.cuter.rl.ac.uk/marosmeszaros/marmes.html
A short description of the design and scope of CUTEst is available as
http://purl.org/net/epubs/work/65540.
If you wish to use CUTEst with python, Jari Fowkes and Lindon Roberts from Oxford University have kindly provided an interface:
https://github.com/jfowkes/pycutest.
In order to uninstall a particular brand of CUTEst, execute
$CUTEST/bin/uninstall_cutest
To completely remove CUTEst, execute
rm -rf $CUTEST ~/.cutest