Geometric Approach to Iserman Duality in Linear Vector Optimization

Nakayama H (1986). Geometric Approach to Iserman Duality in Linear Vector Optimization. IIASA Collaborative Paper. IIASA, Laxenburg, Austria: CP-86-002

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Abstract

In recent years, there have been several reports on duality in vector optimization. However, there seems to be no unified approach to dualization. In the author's previous paper, a geometric consideration was given to duality in nonlinear vector optimization. In this paper, some relationship among duality, stability (normality) and condition of alternative will be reported on the basis of some geometric consideration. In addition, Isermann's duality in linear cases will be derived from the stated geometric approach.

Item Type: Monograph (IIASA Collaborative Paper)
Research Programs: System and Decision Sciences - Core (SDS)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 01:57
Last Modified: 20 Jul 2016 21:42
URI: http://pure.iiasa.ac.at/2883

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