Parametric duality models for semi-infinite discrete minmax fractional programming problems involving generalized \((\eta ,\rho )\)-invex functions

DOI10.1007/s10255-007-0377-0zbMath1145.90097OpenAlexW2064527572MaRDI QIDQ2468783

Qinghong Zhang, G. J. Zalmai

Publication date: 25 January 2008

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10255-007-0377-0

zbMATH Keywords

duality theoremssemi-infinite programminginfinitely many equality and inequality constraintsgeneralized invex functionsdiscrete minmax fractional programmingparametric duality models

Mathematics Subject Classification ID

Optimality conditions and duality in mathematical programming (90C46) Fractional programming (90C32) Semi-infinite programming (90C34)

Related Items

Global parametric sufficient efficiency conditions for semiinfinite multiobjective fractional programming problems containing generalized \((\alpha,\eta,\rho)\)-V-invex functions ⋮ Global parametric sufficient optimality conditions for semi-infinite discrete minmax fractional programming problems involving generalized \((\eta ,\rho )\)-invex functions

Cites Work

• Global parametric sufficient optimality conditions for semi-infinite discrete minmax fractional programming problems involving generalized \((\eta ,\rho )\)-invex functions
• On sufficiency of the Kuhn-Tucker conditions
• Global Nonparametric Sufficient Optimality Conditions for Semi-Infinite Discrete Minmax Fractional Programming Problems Involving Generalized (η, ρ)-Invex Functions
• Nonparametric Duality Models for Semi-Infinite Discrete Minmax Fractional Programming Problems Involving Generalized (η, ρ)-Invex Functions
• Unnamed Item

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