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implementing the Blossom algorithm for maximum weight matching [$1000] #14

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@Krastanov

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@Krastanov

Implement the well-known Blossom algorithm for maximum weight (perfect) matching in generic graphs.

Two bounties are available here:

  • a 500$ bounty for implementing a pure-julia Blossom with tests and documentation, making it the default here, and moving BlossomV.jl from a dependency to a weak dependency (so that it is not necessary during installation)
  • a 500$ bounty on improving the performance of the new implementation to no-worse than 90% of BlossomV.jl

Required skills: Both skills in graph theory and high-performance julia.

Reviewer: @Krastanov or @gdalle or members of the JuliaGraphs community

Duration: 1 month per stage (except potential review overhead)

Payout procedure (for this particular bounty program):

The Funding for these bounties comes from the National Science Foundation and from the NSF Center for Quantum Networks. The payouts are managed by the NumFOCUS foundation and processed in bulk once every two months. If you live in a country in which NumFOCUS can make payments, you can participate in this bounty program.

Click here for more details about the bug bounty program.

Bug bounty logistic details (click to expand)

To claim exclusive time to work on this bounty either post a comment here or message skrastanov@umass.edu with:

  • your name
  • github username
  • (optional) a brief list of previous pertinent projects you have engaged in

Currently the project is claimed by no one until ....

If you want to, you can work on this project without making a claim, however claims are encouraged to give you and other contributors peace of mind. Whoever has made a claim takes precedence when solutions are considered.

You can always propose your own funded project, if you would like to contribute something of value that is not yet covered by an official bounty.

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