The contribution of K.-H. Elster to generalized conjugation theory and nonconvex duality

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Abstract

© 2014 Taylor & Francis. This article surveys the main contributions of K.-H. Elster to the theory of generalized conjugate functions and its applications to duality in nonconvex optimization.
Original languageEnglish
Pages (from-to)87-96
JournalOptimization
Volume64
Issue number1
DOIs
Publication statusPublished - 1 Jan 2015

Keywords

  • duality theory
  • fractional programming
  • generalized conjugation
  • generalized convexity
  • geometric vector inequality
  • nonconvex optimization
  • optimality conditions

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