Contributing to the library

[MightyArty]

Hey, I'm a Computer Science student (in my last semester), and recently I've implemented an improved version of the well-known Munkers algorithm by backtracking as a part of my last course at the University.
This improved version is also faster than the original one and also gives the option of assigning each agent to more than 1 task, and each task to more than 1 agent.

The link for the paper research on which my code is based:
https://www.sciencedirect.com/science/article/pii/S0304397516000037?ref=pdf_download&fr=RR-2&rr=89adcd6b4d2ae3c7

Below is the comparison in the running time:

The size indicates a randomly generated matrix with sizes from 5 to 800.

I would like to contribute my implementation to this library if it's possible.

Thanks, would be glad to hear from you.
You can reach me at my email as well: tomshabalin95@gmail.com

[bmc]

@MightyArty I must confess that I have not been actively maintaining this library for awhile. I'm happy to merge your changes into this repo and publish a new version. However, here's another option: You can take over maintenance of it. (Call it munkres2 or something.)

If you're interested, of course. :-)

I originally developed this thing as part of a coding test for an employer back in 2008. I pushed it to pypy more or less on a whim. I rarely actually use it myself.