Library to construct a binary quadratic model from a constraint
satisfaction problem with small constraints over binary variables.
If you want to run the tests set the environment variable TESTS=yes
this requires: blas, lapack, dimod, homebase, networkx, numpy3,
penaltymodel and scipy3.
Maintained by: William PC
Keywords: binary variables,binary quadratic models
ChangeLog: dwavebinarycsp
Homepage:
https://github.com/dwavesystems
Download SlackBuild:
dwavebinarycsp.tar.gz
dwavebinarycsp.tar.gz.asc (FAQ)
(the SlackBuild does not include the source)
Individual Files: |
README |
dwavebinarycsp.SlackBuild |
dwavebinarycsp.info |
slack-desc |
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