Organisation: Department of Mathematics

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• Research Projects Pages

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• Research Projects Pages

  MATHCODA: Mathematical Tools for Complex Data Structures

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• Core Research Projects

  Mathematical Tools for Complex Data Structures (MATHCODA)

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• News

  Statistically Enhanced Learning (SEL): Revolutionising predictions in sports and equine medicine

  First developed in 2018 by Professor Christophe Ley from the Department of Mathematics at the University of Luxembourg, this innovative approach to machine learning is making waves far beyond the lab. By blending statistical insights with machine learning models, SEL (Statistically Enhanced Learning) unlocks new predictive power. Let’s check in on how this brainchild is…

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• Research Groups

  Research

  Partial Differential Equations (PDEs) are equations where the unknown is a function—or sometimes a vector field—depending on several variables, often time and space. These equations involve one or more partial derivatives of the unknown.

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• Research Groups

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• Research Groups

  Analysis and controllability of Partial Differential Equations

  Our group investigates some theoretical questions on some partial differential equations from physics.

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• Events

  Inaugural lecture Prof. Franck Sueur: Transferring properties from one linear operator to another

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• Events

  From Chaos to Structure: statistics and probability in today’s world

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