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On Lagrangian Duality in Vector Optimization. Applications to the linear case

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  • Elisa Pagani

    ()
    (Department of Economics (University of Verona))

Abstract

The paper deals with vector constrained extremum problems. A separation scheme is recalled; starting from it, a vector Lagrangian duality theory is developed. The linear duality due to Isermann can be embedded in this separation approach. Some classical applications are extended to the multiobjective framework in the linear case, exploiting the duality theory of Isermann.

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Bibliographic Info

Paper provided by University of Verona, Department of Economics in its series Working Papers with number 59/2009.

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Length: 16
Date of creation: Sep 2009
Date of revision:
Handle: RePEc:ver:wpaper:59/2009

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Related research

Keywords: Vector Optimization; Separation; Image Space Analysis; Lagrangian Duality; Set-Valued Function.;

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Cited by:
  1. Elisa Pagani, 2013. "Tricks for maximizing collective utility functions," Working Papers, University of Verona, Department of Economics 02/2013, University of Verona, Department of Economics.

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