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

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Author Info
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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File URL: http://dse.univr.it//workingpapers/WP59.pdf
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Publisher Info
Paper provided by Università di Verona, Dipartimento di Scienze economiche 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.;

Find related papers by JEL classification:
C61 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Optimization Techniques; Programming Models; Dynamic Analysis

This paper has been announced in the following NEP Reports:

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This page was last updated on 2009-12-16.

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