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From scalar to vector optimization

Author

Listed:
  • Ginchev Ivan

    (Department of Mathematics, Technical University of Varna, Bulgaria)

  • Guerraggio Angelo

    (Department of Economics, University of Insubria, Italy)

  • Rocca Matteo

    (Department of Economics, University of Insubria, Italy)

Abstract

No abstract is available for this item.

Suggested Citation

  • Ginchev Ivan & Guerraggio Angelo & Rocca Matteo, 2003. "From scalar to vector optimization," Economics and Quantitative Methods qf0305, Department of Economics, University of Insubria.
    • Handle: RePEc:ins:quaeco:qf0305
    as

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    File URL: https://www.eco.uninsubria.it/RePEc/pdf/QF2003_17.pdf
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    References listed on IDEAS

    as
    1. La Torre Davide & Rocca Matteo, 2002. "C 1,1 functions and optimality conditions," Economics and Quantitative Methods qf0208, Department of Economics, University of Insubria.
    2. S. Bolintinéanu & M. El Maghri, 1998. "Second-Order Efficiency Conditions and Sensitivity of Efficient Points," Journal of Optimization Theory and Applications, Springer, vol. 98(3), pages 569-592, September.
    3. J. B. Hiriart-Urruty, 1979. "Tangent Cones, Generalized Gradients and Mathematical Programming in Banach Spaces," Mathematics of Operations Research, INFORMS, vol. 4(1), pages 79-97, February.
    4. Ginchev Ivan & Guerraggio Angelo & Rocca Matteo, 2002. "On second-order conditions in vector optimization," Economics and Quantitative Methods qf0218, Department of Economics, University of Insubria.
    5. E. Miglierina & E. Molho, 2002. "Scalarization and Stability in Vector Optimization," Journal of Optimization Theory and Applications, Springer, vol. 114(3), pages 657-670, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Scalar and vector optimization; C1; 1 functions; Hadamard and Dini derivatives; second-order optimality conditions; Lagrange multipliers.;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

    NEP fields

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