On Lagrangian Duality in Vector Optimization. Applications to the linear case
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.
|Date of creation:||Sep 2009|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.dse.univr.it
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:ver:wpaper:59/2009. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael Reiter)
If references are entirely missing, you can add them using this form.