Generalized parameter-free duality models in discrete minmax fractional programming based on second-order optimality conditions Metadata

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Title

  • Main Title Generalized parameter-free duality models in discrete minmax fractional programming based on second-order optimality conditions

Creator

  • Author: Zalmai, G. J.
    Creator Type: Personal
    Creator Info: Northern Michigan University
  • Author: Verma, Ram U.
    Creator Type: Personal
    Creator Info: University of North Texas

Publisher

  • Name: Springer Science+Business Media
    Place of Publication: London, UK

Date

  • Creation: 2016-11-08

Language

  • English

Description

  • Content Description: This article discusses the construction of six generalized second-order parameter-free duality models, and proves several weak, strong, and strict converse duality theorems for a discrete minmax fractional programming problem using two partitioning schemes and various types of generalized second-order (ℱ, β, ɸ, 𝜌, θ, 𝑚)-univexity assumptions.
  • Physical Description: 15 p.

Subject

  • Keyword: discrete minmax fractional programming
  • Keyword: duality theorems
  • Keyword: mathematical programming

Source

  • Journal: Mathematical Sciences, 10(4), Springer, November 8, 2016, pp. 1-15

Citation

  • Publication Title: Mathematical Sciences
  • Volume: 10
  • Issue: 4
  • Page Start: 185
  • Page End: 199
  • Peer Reviewed: True

Collection

  • Name: UNT Scholarly Works
    Code: UNTSW

Institution

  • Name: UNT College of Arts and Sciences
    Code: UNTCAS

Rights

  • Rights Access: public
  • Rights License: by

Resource Type

  • Article

Format

  • Text

Identifier

  • DOI: 10.1007/s40096-016-0193-x
  • Archival Resource Key: ark:/67531/metadc967166

Degree

  • Academic Department: Mathematics
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