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Computing minimum-weight perfect matching by linear programming.
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Start by modeling the LP problem as in the bipartite case and solving it.
- If the subgraph induced by the found solution has odd cycles, it's necessary to add the corresponding "blossom inequality constraints" to the LP model in order "to break" the odd cycles.
-Then you solve again the augmented LP model.
By repeating this steps, eventually, a solution corresponding to a matching arises.
- If the subgraph induced by the found solution has odd cycles, it's necessary to add the corresponding "blossom inequality constraints" to the LP model in order "to break" the odd cycles.
-Then you solve again the augmented LP model.
By repeating this steps, eventually, a solution corresponding to a matching arises.
Computing minimum-weight perfect matching by linear programming.
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