Nonparametric Duality Models for Semi-Infinite Discrete Minmax Fractional Programming Problems Involving Generalized (η, ρ)-Invex Functions

DOI10.1080/01630560600884976zbMath1141.90549OpenAlexW4240963890MaRDI QIDQ3432720

G. J. Zalmai, Qinghong Zhang

Publication date: 18 April 2007

Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01630560600884976

zbMATH Keywords

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

Mathematics Subject Classification ID

Minimax problems in mathematical programming (90C47) Nonlinear programming (90C30) Semi-infinite programming (90C34)

Related Items (3)

Global parametric sufficient efficiency conditions for semiinfinite multiobjective fractional programming problems containing generalized \((\alpha,\eta,\rho)\)-V-invex functions ⋮ Second-Order Parameter-Free Duality Models in Semi-Infinite Minmax Fractional Programming ⋮ Parametric duality models for semi-infinite discrete minmax fractional programming problems involving generalized \((\eta ,\rho )\)-invex functions

Cites Work

• On sufficiency of the Kuhn-Tucker conditions

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