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Title: Saddle point criteria for second order $\eta $-approximated vector optimization problems (English)
Author: Jayswal, Anurag
Author: Jha, Shalini
Author: Choudhury, Sarita
Language: English
Journal: Kybernetika
ISSN: 0023-5954 (print)
ISSN: 1805-949X (online)
Volume: 52
Issue: 3
Year: 2016
Pages: 359-378
Summary lang: English
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Category: math
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Summary: The purpose of this paper is to apply second order $\eta$-approximation method introduced to optimization theory by Antczak [2] to obtain a new second order $\eta$-saddle point criteria for vector optimization problems involving second order invex functions. Therefore, a second order $\eta$-saddle point and the second order $\eta$-Lagrange function are defined for the second order $\eta$-approximated vector optimization problem constructed in this approach. Then, the equivalence between an (weak) efficient solution of the considered vector optimization problem and a second order $\eta$-saddle point of the second order $\eta$-Lagrangian in the associated second order $\eta$-approximated vector optimization problem is established under the assumption of second order invexity. (English)
Keyword: efficient solution
Keyword: second order $\eta $-approximation
Keyword: saddle point criteria
Keyword: optimality condition
MSC: 90C26
MSC: 90C29
MSC: 90C30
MSC: 90C46
idZBL: Zbl 06644300
idMR: MR3532512
DOI: 10.14736/kyb-2016-3-0359
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Date available: 2016-07-17T12:13:27Z
Last updated: 2018-01-10
Stable URL: http://hdl.handle.net/10338.dmlcz/145781
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