A C/C++ implementation of the MST2 multistart tabu search algorithm
for quadratic unconstrained binary optimization (QUBO) problems with
a dimod sampler Python interface.
For running tests set the environment variable TESTS=yes, this
requires dimod.
This requires: python3-numpy
Maintained by: William PC
Keywords: quantum,quantum annealing,quadratic unconstrained binary,dwave,d-wave
ChangeLog: dwave-tabu
Homepage:
https://github.com/dwavesystems/dwave-tabu
Download SlackBuild:
dwave-tabu.tar.gz
dwave-tabu.tar.gz.asc (FAQ)
(the SlackBuild does not include the source)
Individual Files: |
README |
dwave-tabu.SlackBuild |
dwave-tabu.info |
slack-desc |
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