Symmetric duality in non-differentiable programming using G-invexity
by Ramu Dubey; S.K. Gupta
International Journal of Mathematics in Operational Research (IJMOR), Vol. 9, No. 3, 2016

Abstract: Mond-Weir and Wolfe type non-differentiable primal and dual symmetric problems in mathematical programming are formulated. In this paper, we use a generalisation of convexity, namely G-invexity, to prove weak, strong and converse duality relations for the two non-differentiable symmetric programming problems. Some previous known results for symmetric programming problems turn out to be special cases of the results established in the paper.

Online publication date: Sat, 03-Sep-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Mathematics in Operational Research (IJMOR):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com