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Integral Polyhedra Associated with Certain Submodular Functions Defined on 012-Vectors

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Integer Programming and Combinatorial Optimization (IPCO 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1610))

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Abstract

A new class of polyhedra, named greedy-type polyhedra, is introduced. This class contains polyhedra associated with submodular set functions. Greedy-type polyhedra are associated with submodular functions defined on 012-vectors and have 012-vectors as normal vectors of their facets. The face structure of greedy-type polyhedra is described with maximal chains of a certain partial order defined on 012-vectors. Integrality of polyhedra associated with integral greedy-type functions is shown through total dual integrality of the systems of inequalities defining polyhedra. Then a dual algorithm maximizing linear functions over these polyhedra is proposed. It is shown that feasible outputs of certain bipartite networks with gain make greedy-type polyhedra. A separation theorem for greedy-type functions is also proved.

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References

  1. Edmonds, J., Giles, R.: A min-max relation for submodular functions on graphs. Annals of Discrete Mathematics 1 (1977) 185–204

    Article  MathSciNet  Google Scholar 

  2. Frank, A.: An algorithm for submodular functions on graphs. Annals of Discrete Mathematics 16 (1982) 97–120

    MATH  Google Scholar 

  3. Fujishige, S.: Submodular Functions and Optimization. Annal of Discrete Mathematics 47 (1991)

    Google Scholar 

  4. Fujishige, S., Murota., K.: On the relationship between L-convex functions and submodular integrally convex functions. RIMS Preprint 1152, Research Institute for Mathematical Sciences, Kyoto University (1997)

    Google Scholar 

  5. Kashiwabara, K.: Set Functions and Polyhedra. PhD thesis, Tokyo Institute of Technology (1998)

    Google Scholar 

  6. Lovász, L.: Submodular functions and convexity. in Grötschel M,. Bachem, A., Korte B. (eds.), Mathematical Programming — The State of the Art. Springer-Verlag, Berlin (1983) 235–257

    Google Scholar 

  7. Murota, K.: Discrete convex analysis. Mathematical Programming. 83 (1998) 313–371

    Article  MathSciNet  MATH  Google Scholar 

  8. Rockafellar, R.T.: Convex Analysis. Princeton University Press (1970)

    Google Scholar 

  9. Scrijver, A.: Total dual integrality from directed graphs, crossing families, and sub-and supermodular functions. in Pulleyblank, W.R. (ed.), Progress in Combinatorial Optimization. Academic Press (1984) 315–361

    Google Scholar 

  10. Schrijver, A.: Theory of Linear and Integer Programming. Wiley (1986)

    Google Scholar 

  11. Takabatake, T.: Generalizations of Submodular Functions and Delta-Matroids. PhD thesis, Universtiy of Tokyo (1998)

    Google Scholar 

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© 1999 Springer-Verlag Berlin Heidelberg

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Kashiwabara, K., Nakamura, M., Takabatake, T. (1999). Integral Polyhedra Associated with Certain Submodular Functions Defined on 012-Vectors. In: Cornuéjols, G., Burkard, R.E., Woeginger, G.J. (eds) Integer Programming and Combinatorial Optimization. IPCO 1999. Lecture Notes in Computer Science, vol 1610. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48777-8_22

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  • DOI: https://doi.org/10.1007/3-540-48777-8_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66019-4

  • Online ISBN: 978-3-540-48777-7

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