SHD
SHD algorithm for minimal hitting set computations
More Information: //research.nii.ac.jp/~uno/code/shd.html
Packaged by: Andrew Gainer-Dewar, Ph.D.
Run
Enter input data below and hit the RUN button to launch the computation.
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About
See the documentation for inputs and outputs and the original container source code on GitHub.
Introduced in Efficient algorithms for dualizing large-scale hypergraphs by Murakami and Uno. Can be run in 'mmcs' or 'rs' mode. Container sources available at the CompSysMed group Github page.
This interface was automatically generated by AlgoRun. AlgoRun aims at providing computational scientists with an easy way to use and publish their algorithms.
More Information: http://algorun.org
Web API
This algorithm can be run via the web interface above or via the following web API
HTTP POST /v1/run
Parameters
- input: the input for the algorithm in its accepted format. See: sample-input-format
Results
- output: the result of the computation in the following format. See: sample-output-format
HTTP POST /v1/config
Parameters
- JSON Object
key: parameter name
value: the new value of parameter
You can change more than one parameter per API call
Results
- Success or failure message
Download
To download and run this algorithm on your PC, you need to have Docker installed. Then, just run the following command:
docker run -it -p 31331:8765 --name <container_name> compsysmed/shd
The algorithm can now be used locally from your computer :
- via the web interface : http://localhost:31331
- via the web api: http://localhost:31331/v1/run (see Web API above)
- via command line :
docker exec -i <container_name> /bin/algorun < sample_input.txt
