pyLAPJV
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Jonker-Volgenant / LAPJV algorithm for the linear assignment problem, in Python
I'm running the minimalist example from [here](https://de.wikipedia.org/wiki/Ungarische_Methode#Beispiel_1): ```python import numpy import LAPJV a = numpy.array([[1, 1, 1, 2], [3, 2, 4, 1], [4, 4, 2, 4], [2, 3, 3, 3]])...
I'm seeing very large arrays being returned, with all the data after the initial "correct" data looking like old memory: ``` python import numpy as np import LAPJV n =...
Hello, I ported @yongyanghz 's C implementation to Javascript (https://github.com/Fil/lap-jv) and we were discussing the infinite loop problem (https://github.com/yongyanghz/LAPJV-algorithm-c/issues/2), for which I introduced an epsilon in the code (https://github.com/Fil/lap-jv/blob/master/lap.js#L42). This...
This is less of an issue and more of an idea. I [ported](https://gist.github.com/kylemcdonald/3dcce059060dbd50967970905cf54cd9) the C code to typed Cython code using numpy, and have gotten even better performance from it...
numpy dims must carry trailing zero sentinel