Hybrid Parametric Optimality Constraints for Discrete Minmax Fractional Programming

Ram U Verma
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Ram U Verma: Department of Mathematics, University of North Texas, USA

Biostatistics and Biometrics Open Access Journal, 2017, vol. 2, issue 1, 13-20

Abstract: Several classes of generalized higher order parametric sufficient optimality constraints for a discrete minmax fractional programming problem are investigated toward establishing advanced results on higher order fractional programming. These results are established by applying advanced partitioning schemes and various types of generalized second-order (F,β,Ï€,φ,Ï ,θ,m)-univexity assumptions. The obtained results are new and generalize most of the results on (F,β,φ,Ï ,θ)-univexity in the literature.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:2:y:2017:i:1:p:13-20

DOI: 10.19080/BBOAJ.2017.02.555579

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