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Convergence of Approximate Solutions and Values in Parametric Vector Optimization

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Vector Variational Inequalities and Vector Equilibria

Part of the book series: Nonconvex Optimization and Its Applications ((NOIA,volume 38))

Abstract

New concepts of approximate values and solutions for vector optimization problems are introduced. Then, under conditions of minimal character, we present convergence results involving the above mentioned concepts.

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Author information

Authors and Affiliations

  1. Université de Paris 1 CERMSEM, Paris, France

    Pierre Loridan

  2. Dept. of Matemathics and Applications, University of Napoli “Federico II”, Napoli, Italy

    Jacqueline Morgan

Authors
  1. Pierre Loridan
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  2. Jacqueline Morgan
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Editor information

Editors and Affiliations

  1. Department of Mathematics, University of Pisa, Pisa, Italy

    Franco Giannessi

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© 2000 Kluwer Academic Publishers

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Loridan, P., Morgan, J. (2000). Convergence of Approximate Solutions and Values in Parametric Vector Optimization. In: Giannessi, F. (eds) Vector Variational Inequalities and Vector Equilibria. Nonconvex Optimization and Its Applications, vol 38. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0299-5_19

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  • DOI: https://doi.org/10.1007/978-1-4613-0299-5_19

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7985-0

  • Online ISBN: 978-1-4613-0299-5

  • eBook Packages: Springer Book Archive

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