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    Mixed symmetric duality in nondifferentiable mathematical programming

    135963_19604_2003-11 Mixed symmetric duality in non-differentiable multiobjective mathematical programming.pdf (480.7Kb)
    Access Status
    Open access
    Authors
    Yang, X.
    Teo, Kok Lay
    Yang, X.
    Date
    2003
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Yang, Xin and Teo, Kok and Yang, Xiao. 2003. Mixed symmetric duality in nondifferentiable mathematical programming. Indian Journal of Pure and Applied Mathematics. 34 (5): pp. 805-815.
    Source Title
    Indian Journal of Pure and Applied Mathematics
    ISSN
    00195588
    Faculty
    School of Science and Computing
    Department of Mathematics and Statistics
    Faculty of Science and Engineering
    URI
    http://hdl.handle.net/20.500.11937/36086
    Collection
    • Curtin Research Publications
    Abstract

    A mixed symmetric dual formulation is presented for a class of nondifferentiable nonlinear programming problems with multiple arguments. Weak, strong and converse duality theorems are established. The mixed symmetric dual formulation unifies the two existing symmetric dual formulations in the literature.

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