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Type: yago:Abstraction100002137yago:Cognition100023271yago:Explanation105793000yago:HigherCognitiveProcess105770664yago:Process105701363yago:PsychologicalFeature100023100yago:Theory105989479yago:Thinking105770926yago:WikicatDualityTheories New Facet based on Instances of this Class

In mathematics and mathematical optimization, the convex conjugate of a function is a generalization of the Legendre transformation which applies to non-convex functions. It is also known as Legendre–Fenchel transformation, Fenchel transformation, or Fenchel conjugate (after Adrien-Marie Legendre and Werner Fenchel). It allows in particular for a far reaching generalization of Lagrangian duality.