Abstract
In recent years, there have been several reports on duality in vector optimization. However, there seem 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, Lagrange duality of vector optimization will be overviewed along with a geometric interpretation. Moreover, Isermann’s duality in linear cases will be derived on the basis of the stated geometric consideration.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have