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Article . 2020
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Asian-European Journal of Mathematics
Article . 2018 . Peer-reviewed
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Duality relations for second-order programming problem under (G,αf)-bonvexity assumptions

Duality relations for second-order programming problem under \((G, \alpha_f)\)-bonvexity assumptions
Authors: Dubey, Ramu; Mishra, Vishnu Narayan; Tomar, Puneet;

Duality relations for second-order programming problem under (G,αf)-bonvexity assumptions

Abstract

In this paper, we introduce the definition of [Formula: see text]-bonvex/[Formula: see text]-pseudobonvex functions and to show the existence of such functions, we construct nontrivial numerical examples. In the next section, we formulate a pair of second-order symmetric dual model in optimization problem and proved the duality results under [Formula: see text]-bonvexity/[Formula: see text]-pseudobonvexity assumptions. Further, we also construct nontrivial concrete examples which justifying definitions as well as the weak duality theorem presented in the paper.

Country
Italy
Keywords

\alpha_f)\)-pseudobonvexity, Nonlinear programming, \((G, \alpha_f)\)-bonvexity/\((G, Optimality conditions and duality in mathematical programming, Fractional programming, Nonconvex programming, global optimization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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