Home |
Welcome on benchmark section
|
This section offers acces to cost function network instances collected from various sources
Quick Start
1. Select your instances in the tree directory. (please click on the Add button on the top the page )
2. Click on "Your selection" for access to the selection menu management
. This menu allows to manage selection and download a shell script on your computer.
3. Execute the script on your computer. the selected instances will be fetch to the SVN server to your computer by your SVN client.
Warning
Instances can be huge . (repository space used is around 5 go) . So be careful to select only wanted instances
Required application :
the shell script generated by this web is based on SVN client call.
Under Linux like distro
install subversion client (apt-get install subversion subversion-tools )
execute the script downloaded
Under windows
install svn client
change script extension from .sh to .bat
(we work under linux so feedback is welcome from user working on other OS, please contact me . )
INSTANCES FIELDS
Graph decomposition
Graph representation correspond to a binary projection of the graph of constraints(i.e : global constraint will be replace by the corresponding click )
MCS decomposition : graph decomposition following the maximum cardinality search variable ordering
Min-fill decomposition : graph decomposition following Min fill variable ordering
Maximum space separator :(max_sep_space_size) is the cartesian product of domains of the variables included in the largest separator
total_separator_space : is the sum of the cartesian product of domains of the variables included in separators.
degree distribution
represent the degree distribution in the constraint network after binary projection of nary constraint
Persistence of selection
By default your selection is not persistent. But for registered users, it is possible to store "your selection" for further usage or keep a pointer in the aims of allowing to the reproduction or the comparaison of articule results.
If you want to propose new instances , or suggest improvement please contact us :
(costfunction_AT_toulouse.inra.fr )