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UNIVERSITE PARIS-DAUPHINE PARIS 9

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  • project
    Funder: ANR Project Code: ANR-09-JCJC-0095
    Partners: UNIVERSITE PARIS-DAUPHINE PARIS 9

    The main goal of our project is to analyse the dynamics of the nonlinear Schrodinger equations with non-vanishing conditions at infinity. The typical example of such an equation is provided by the Gross-Pitaevskii equation, which appears as a model for different physica...

  • project
    Funder: ANR Project Code: ANR-09-JCJC-0066
    Partners: UNIVERSITE PARIS-DAUPHINE PARIS 9

    The project deals with problems at the interface between combinatorial optimization and game theory. Combinatorial optimization is a very active field in computer science. This is certainly due to the numerous real world applications (e.g. in telecommunications, transpo...

  • project
    Funder: ANR Project Code: ANR-09-BLAN-0361
    Partners: UNIVERSITE PARIS 6 PIERRE ET MARIE CURIE, UNIVERSITE PARIS-DAUPHINE PARIS 9, UNIVERSITE NANTES

    The growing complexity of real world applications in various domains (e.g. optimization of communication networks, transportation and location problems, therapy planning, elaboration of public policies, web search) has led researchers in Operations Research (OR) and Dec...

  • project . 2021 - 2023
    Funder: UKRI Project Code: EP/V00929X/1
    Funder Contribution: 293,008 GBP
    Partners: IMPA, Federal University of Minas Gerais, UNIVERSITE PARIS-DAUPHINE PARIS 9, University of Bath

    Random motions in random media have been intensively studied for over forty years and many interesting features of these models have been discovered. The aim is to understand the motion of a particle in a turbulent media. Most of the work has been focused on the case wh...

  • project . 2019 - 2027
    Funder: UKRI Project Code: EP/S023151/1
    Funder Contribution: 6,159,460 GBP
    Partners: TKU, University of California, Berkeley, Select Statistical Services, Amazon Development Centre Scotland, BASF, MTC, LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN, Filtered Technologies, Harvard University, Université Bocconi...

    The CDT will train the next generation of leaders in statistics and statistical machine learning, who will be able to develop widely-applicable novel methodology and theory, as well as create application-specific methods, leading to breakthroughs in real-world problems ...

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