Global parametric sufficient optimality conditions for discrete minmax fractional programming problems containing generalized (θ, η, ρ)-V-invex functions and arbitrary norms

The purpose of this paper is to develop a fairly large number of sets of global parametric sufficient optimality conditions under various generalized([theta], η, ρ)-V-invexity assumptions for a discrete minmax fractional programming problem involving arbitrary norms.[PUBLICATION ABSTRACT]

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Bibliographic Details
Published in:Journal of applied mathematics & computing Vol. 23; no. 1-2; pp. 1 - 23
Main Author: Zalmai, G. J.
Format: Journal Article
Language:English
Published: Dordrecht Springer Nature B.V 01.01.2007
Subjects:
Computation
Mathematical analysis
Mathematical models
Norms
Operations research
Optimization
Programming
ISSN:1598-5865, 1865-2085
Online Access:Get full text
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Summary:The purpose of this paper is to develop a fairly large number of sets of global parametric sufficient optimality conditions under various generalized([theta], η, ρ)-V-invexity assumptions for a discrete minmax fractional programming problem involving arbitrary norms.[PUBLICATION ABSTRACT]
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ISSN:1598-5865
1865-2085
DOI:10.1007/BF02831955