Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ashish Kumar Prasad"'
Autor:
Sony Khatri, Ashish Kumar Prasad
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9789811993060
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cf61bd9e95a5d4a77a5e37e19248d3f
https://doi.org/10.1007/978-981-19-9307-7_37
https://doi.org/10.1007/978-981-19-9307-7_37
Publikováno v:
Journal of Applied Analysis. 20:155-165
In the present paper, we examine duality results for Wolfe-type second-order fractional symmetric dual programs. These duality results are then used to investigate minimax mixed integer symmetric dual fractional programs. We also discuss self-duality
Publikováno v:
Journal of applied mathematics & informatics. 32:99-111
Publikováno v:
Journal of Industrial & Management Optimization. 10:1001-1018
In the present paper, we move forward in the study of minimax fractional programming problem and establish sufficient optimality conditions under the assumptions of generalized $(H_p,r)$-invexity. Weak, strong and strict converse duality theorems are
Autor:
Ashish Kumar Prasad, Anurag Jayswal
Publikováno v:
Journal of Applied Mathematics and Computing. 45:15-33
In the present paper, we consider Mond-Weir type nondifferentiable second order fractional symmetric dual programs over arbitrary cones and derive duality results under second order K−F-convexity/K−F-pseudoconvexity assumptions. Our results gener
Publikováno v:
Yugoslav Journal of Operations Research, Vol 23, Iss 3, Pp 367-386 (2013)
A class of multiobjective fractional programming problems (MFP) is considered where the involved functions are locally Lipschitz. In order to deduce our main results, we introduce the definition of (p,r)?? ?(?,?)-invex class about the Clarke generali
Publikováno v:
Journal of Optimization, Vol 2013 (2013)
We start our discussion with a class of nondifferentiable minimax programming problems in complex space and establish sufficient optimality conditions under generalized convexity assumptions. Furthermore, we derive weak, strong, and strict converse d
Publikováno v:
Asia-Pacific Journal of Operational Research. 35:1850028
In the present paper, we introduce a pair of multiobjective second-order symmetric variational control programs over cone constraints and derive weak, strong and converse duality theorems under second-order [Formula: see text]-convexity assumption. M
Publikováno v:
Journal of Inequalities and Applications. 2013
The present paper is framed to study weak, strong and strict converse duality relations for a semi-infinite programming problem and its Wolfe and Mond-Weir-type dual programs under generalized (Hp, r)-invexity. MSC: 90C32; 49K35; 49N15