On Lagrangian Duality in Vector Optimization. Applications to the linear case
AbstractThe 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 InfoPaper provided by University of Verona, Department of Economics in its series Working Papers with number 59/2009.
Date of creation: Sep 2009
Date of revision:
Vector Optimization; Separation; Image Space Analysis; Lagrangian Duality; Set-Valued Function.;
Find related papers by JEL classification:
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-10-10 (All new papers)
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