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Higher Order Parametric Duality Models

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Semi-Infinite Fractional Programming

Part of the book series: Infosys Science Foundation Series ((ISFM))

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Abstract

A hybrid class of second-order parametric duality theorems for a discrete minmax fractional programming problem regarding higher order necessary and sufficient optimality conditions is presented in this chapter.

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References

  1. Verma, R.U., Zalmai, G.J.: New formulations for higher order parametric duality models in discrete minmax fractional programming. PanAm. Math. J. 26(4), 24–43 (2016)

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  5. Zalmai, G.J.: Hanson-Antczak-type generalized \((\alpha,\beta,\gamma,\xi,\eta,\rho,\theta )\)-V-invex functions in semiinfinite multiobjective fractional programming, Part I: Sufficient efficiency conditions. Adv. Nonlinear Variational Inequalities 16(1), 91–114 (2013)

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Authors and Affiliations

  1. Department of Mathematics, Texas State University, San Marcos, TX, USA

    Ram U. Verma

Authors
  1. Ram U. Verma
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Correspondence to Ram U. Verma .

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© 2017 Springer Nature Singapore Pte Ltd.

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Verma, R. (2017). Higher Order Parametric Duality Models. In: Semi-Infinite Fractional Programming. Infosys Science Foundation Series(). Springer, Singapore. https://doi.org/10.1007/978-981-10-6256-8_1

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