On interval-valued optimization problems with generalized invex functions

Autor:	Izhar Ahmad, Jonaki Banerjee, Anurag Jayswal
Rok vydání:	2013
Předmět:	Optimization problem Duality gap Applied Mathematics Duality (optimization) Weak duality Nonlinear programming Combinatorics Converse Discrete Mathematics and Combinatorics Applied mathematics Dual polyhedron Solution concept Analysis Mathematics
Zdroj:	Journal of Inequalities and Applications. 2013
ISSN:	1029-242X
DOI:	10.1186/1029-242x-2013-313
Popis:	This paper is devoted to study interval-valued optimization problems. Sufficient optimality conditions are established for LU optimal solution concept under generalized -invexity. Weak, strong and strict converse duality theorems for Wolfe and Mond-Weir type duals are derived in order to relate the LU optimal solutions of primal and dual problems. MSC: 90C46, 90C26, 90C30.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::271581d35506009fcb7fdfb74ad7f7fc https://doi.org/10.1186/1029-242x-2013-313 Zobrazit plný text záznamu Full text from SpringerLink