~/talk

Computing the Nucleolus of Weighted Cooperative Matching Games in Polynomial Time

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Proves a polynomial-time algorithm to compute the nucleolus for weighted cooperative matching games on general graphs, not just bipartite or unit-weight cases. Constructs a compact linear description of the optimal face via Edmonds matching polytope, finds a relative interior point to identify tight matchings, and exploits a resulting laminar family structure to reduce constraints. Claims this yields an efficient, implementable procedure that extends prior special-case algorithms to fully weighted, general graphs.

AI-written summary · about

  1. 0:00Introduction and context
  2. 0:45Problem definition
  3. 2:52Allocation concepts
  4. 4:05Defining the excess vector
  5. 7:01The nucleolus concept
  6. 7:53Previous work and results
  7. 10:47Outline of the method
  8. 12:34Linear program formulation
  9. 16:01Optimal solution analysis
  10. 18:30Using Edmonds' formulation
  11. 21:18Properties of optimal face
  12. 23:12Key properties of solution
  13. 26:00Questions and conclusion
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