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CEMRACS 2006

Centre d'Été Mathématique de Recherche Avancée en Calcul Scientifique

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Program of the research center (July 28 - September 1, 2006)

In the research program, every participant will work in a team on a project proposed by an industrial or an academic partner. Each team will be composed of young researchers assisted by one or more senior researchers. The commitment for the young researchers is to be present for the whole period of the research center. The commitment for the senior researchers is to ensure the management of the project that is mainly precise definition of the subject and supervision of the project. Other visiting scientists, interested in the ongoing research, can be associated to the program for shorter periods. The projects will be posted on the CEMRACS 2006 web site. Possible topics are:
  • Spectral polynomial chaos expansions.
  • Karhunen-Loeve representations.
  • Experimental design.
  • Galerkin methods for stochastic partial differential equations.
  • Sensitivity analysis.
  • Monte Carlo methods.
  • Rare event simulations.
  • Wave propagation in random media.
  • Imaging in disordered media.
  • Radiative transfer.
  • Homogenization.
  • Diffusion approximation.
If you intend to propose a project, please contact us.

Here is a preliminary list of projects (to be completed):
  • Propagation des incertitudes en dynamique des fluides compressibles, proposed by CEA/DIF (detailed description)
  • Evaluation de quantiles dans le code cathare, proposed by CEA/Cadarache (detailed description)
  • Incertitudes dans la gestion des déchets nucléaires, proposed by GdR MoMaS (A. Bourgeat)
  • Incertitudes dans des interactions fluide structure, proposed by EDF (detailed description)
  • Modeling and numerical simulation of wave propagation in a random waveguide, proposed by ANR MIRTEC (J. Garnier)
  • 2 projects proposed by CEA/Saclay (detailed description).
  • 3 projects proposed by EADS (F. Mangeant, R. Lebrun, P. Rabbat)
    1. Optimisation sous contraintes aléatoires (optimisation d'une fonction de coût sur un domaine de forme aléatoire) (detailed description)
    2. Optimisation d'un paramètre aléatoire (problème d'optimisation avec une fonction de coût aléatoire) (detailed description in the above file)
    3. Problèmes de mécanique (detailed description)