Optimality Conditions and Duality in Nondifferentiable Minimax Fractional Programming with Generalized Convexity

I. Ahmad and Z. Husain
Additional contact information
I. Ahmad: Aligarh Muslim University
Z. Husain: Aligarh Muslim University

Journal of Optimization Theory and Applications, 2006, vol. 129, issue 2, No 2, 255-275

Abstract: Abstract We establish sufficient optimality conditions for a class of nondifferentiable minimax fractional programming problems involving (F, α, ρ, d)-convexity. Subsequently, we apply the optimality conditions to formulate two types of dual problems and prove appropriate duality theorems.

Keywords: Minimax fractional programming; sublinear functionals; optimality conditions; duality; generalized convexity (search for similar items in EconPapers)
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://link.springer.com/10.1007/s10957-006-9057-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:129:y:2006:i:2:d:10.1007_s10957-006-9057-0

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-006-9057-0

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().