Towards Combinatorial Min-Max Relations from Extended Linear Programming Formulations

  • Marcel K. de Carli Silva USP
  • Mario Leston-Rey UFABC
  • Henri M. F. Oliveira USP
  • Cristiane M. Sato UFABC

Resumo


We study the concept of extended total dual integrality and the combinatorial min-max relations that can be derived from this notion. In this work, we prove the extended total dual integrality property for compact extended linear programming formulations for the minimum-cost r-arborescence problem and the maximum-weight perfectly matchable subset problem. From this, we derive dual integer programming problems and show how to solve each pair of primal-dual problems algorithmically and efficiently by adapting classical methods. We also provide a combinatorial interpretation to the dual problem of the minimum-cost r-arborescence problem as a distance splitting problem.

Referências

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Publicado
20/07/2025
SILVA, Marcel K. de Carli; LESTON-REY, Mario; OLIVEIRA, Henri M. F.; SATO, Cristiane M.. Towards Combinatorial Min-Max Relations from Extended Linear Programming Formulations. In: ENCONTRO DE TEORIA DA COMPUTAÇÃO (ETC), 10. , 2025, Maceió/AL. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2025 . p. 36-40. ISSN 2595-6116. DOI: https://doi.org/10.5753/etc.2025.8198.