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.

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Year of publication:	2009-09
Authors:	Pagani, Elisa
Institutions:	Dipartimento di Scienze Economiche, Facoltà di Economia
Subject:	Vector Optimization \| Separation \| Image Space Analysis \| Lagrangian Duality \| Set-Valued Function

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Extent:	application/pdf
Series:	Working Papers.
Type of publication:	Book / Working Paper
Language:	English
Notes:	Number 59/2009 1 pages long
Classification:	C61 - Optimization Techniques; Programming Models; Dynamic Analysis
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008566273