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

Author

Listed:
  • 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.

Suggested Citation

  • Elisa Pagani, 2009. "On Lagrangian Duality in Vector Optimization. Applications to the linear case," Working Papers 59/2009, University of Verona, Department of Economics.
    • Handle: RePEc:ver:wpaper:59/2009
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    File URL: http://dse.univr.it//workingpapers/WP59.pdf
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    Cited by:

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

    More about this item

    Keywords

    Vector Optimization; Separation; Image Space Analysis; Lagrangian Duality; Set-Valued Function.;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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