MN - Modèles Numériques

Markovian Modeling Tools and Environments – MARMOTE

Submission summary

The aim of the project is to realize a modeling environment dedicated to Markov models.
One part will develop the Perfect Simulation techniques, which allow to sample from the stationary
distribution of the process. A second one will develop parallelization techniques for Monte Carlo
simulation. A third one will develop numerical computation techniques for a wide class of Markov models.
All these developments will be integrated into a programming environment allowing the specification of
models and their solution strategy. Several applications will be studied in various scientific disciplines:
physics, biology, economics, network engineering.

Project coordination

Alain JEAN-MARIE (Organisme de recherche)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.


INRIA Paris-Rocquencourt - DYOGEN Institut National de Recherche en Informatique et Automatique
UVSQ/PRiSM Universite de Versailles St Quentin, laboratoire PRiSM
TSP/SAMOVAR Telecom SudParis, laboratoire SAMOVAR
UPEC/LACL Universite Paris-Est Creteil, laboratoire LACL
UPMC/LIP6 Universite Pierre et Marie Curie, laboratoire LIP6
CR Inria Grenoble Rhône-Alpes- EPI MESCAL Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche-Inria Grenoble Rhône-Alpes-EPI MESCAL
INRIA Sophia Antipolis Méditerranée Institut National de Recherche en informatique et en Automatique

Help of the ANR 881,267 euros
Beginning and duration of the scientific project: December 2012 - 48 Months

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