Abstract
Based on the new notion of the generalized second-order \((\phi ,\eta ,\omega ,\rho ,\theta ,\tilde{m})\)-invexity, a set of higher order parametric necessary optimality conditions and several sets of higher order sufficient optimality conditions in a semi-infinite framework for a discrete minmax fractional programming problem are planned to be established in this chapter.
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Verma, R.U., Zalmai, G.J.: Generalized parametric duality models in discrete minmax fractional programming based on second-order optimality conditions. Commun. Appl. Nonlin. Anal. 22(2), 17–36 (2015)
Verma, R., Zalmai, G.J.: Generalized second-order parameter-free optimality conditions in discrete minmax fractional programming. Commun. Appl. Nonlin. Anal. 22(2), 57–78 (2015)
Verma, R.U., Zalmai, G.J.: Parameter-free duality models in discrete minmax fractional programming based on second-order optimality conditions. Trans. Math. Programm. Appl. 2(11), 1–37 (2014)
Zalmai, G.J.: Generalized second-order \((\cal{F},\beta,\phi,\rho,\theta )\)-univex functions and parametric duality models in semiinfinite discrete minmax fractional programming. Advan. Nonlin. Variation. Inequal. 15(2), 63–91 (2012)
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Verma, R. (2017). Accelerated Roles for Parametric Optimality. In: Semi-Infinite Fractional Programming. Infosys Science Foundation Series(). Springer, Singapore. https://doi.org/10.1007/978-981-10-6256-8_3
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DOI: https://doi.org/10.1007/978-981-10-6256-8_3
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