python3-lap (Linear Assignment Problem solver LAPJV/LAPMOD).
lap is a linear assignment problem solver using Jonker-Volgenant
algorithm for dense LAPJV¹ or sparse LAPMOD² matrices. Both algorithms
are implemented from scratch based solely on the papers¹˒² and the
public domain Pascal implementation provided by A. Volgenant³. The
LAPMOD implementation seems to be faster than the LAPJV implementation
for matrices with a side of more than ~5000 and with less than 50%
finite coefficients.
NOTE: While python3-numpy will build without it I highly suggest
installing OpenBLAS before building numpy. I would add it to the
REQUIRES for python3-lap but it will not be in the proper order
for numpy to build against OpenBLAS.
This requires: python3-numpy, python3-setuptools-opt
Maintained by: fourtysixandtwo
Keywords: python,lap,LAPJV,LAPMOD
ChangeLog: python3-lap
Homepage:
https://github.com/gatagat/lap
Download SlackBuild:
python3-lap.tar.gz
python3-lap.tar.gz.asc (FAQ)
(the SlackBuild does not include the source)
| Individual Files: |
| README |
| python3-lap.SlackBuild |
| python3-lap.info |
| slack-desc |
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