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The purpose of the research at Centre de Mathématiques Appliquées (CMAP) is the modelling, mathematical analysis, numerical analysis and effective scientific computation for phenomena appearing in the physical, chemical, economical and information sciences. This covers the whole range from theoretical results to effective numerical simulation, and takes into account the true complexity of phenomena, in particular when there are random effects. The centre has numerous national and international contacts in mathematics and physics, and is part of several organized research groups. It participates in delivering graduate diplomas and collaborates with industry, and often provides Ph.D. students with industrial grants leading to jobs.

Research teams

The research activities are structured into a few strategic themes.

Random Modeling and Applications

- PEIPS (Populations Evolution, ans INteracting Particles Systems): Sylvie Méléard)
- Financial Mathematics: Nizar Touzi
- SIMPAS (Signal, Image, Numerical Probabilites and Statistical Learning): Emmanuel Gobet ans Erwan Le Pennec

Nonlinear Analysis

- Mechanics, Materials and shape optimization: Grégoire Allaire
- DEFI (Shape Identification and Inverse Problems) (CMAP-INRIA): Houssem Haddar
- Nonlinear PDEs in physics: François Alouges

Automatic, Control and Information science

- MAXPLUS (CMAP- INRIA) : Stéphane Gaubert
- COMMANDS (CMAP-INRIA): Fréderic Bonnans
- GECO (CMAP-INRIA): Mario Sigalotti

The CMAP has many interactions with industrial and financial companies, through research grants and doctoral funding (CIFRE). The CMAP academic staff consists of research professors: professors, associate professors or lecturers, full or part time, but also CNRS and INRIA researchers. The research staff is supported by an administrative team.

CMAP UMR 7641 École Polytechnique CNRS, Route de Saclay, 91128 Palaiseau Cedex France, Tél: +33 1 69 33 46 23 Fax: +33 1 69 33 46 46