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2019 Project-Team Activity Report
SIMSMART
SIMulating Stochastic Models with pARTicles
Research centre: Rennes - Bretagne-Atlantique
In partnership with: CNRS, Université Rennes 1

In collaboration with: Institut de recherche mathématique de Rennes (IRMAR)



Field: Applied Mathematics, Computation and Simulation

Theme: Stochastic approaches
Keywords:
Computer Science and Digital Science:
  • A6. - Modeling, simulation and control
  • A6.1. - Methods in mathematical modeling
  • A6.1.1. - Continuous Modeling (PDE, ODE)
  • A6.1.2. - Stochastic Modeling
  • A6.1.4. - Multiscale modeling
  • A6.2. - Scientific computing, Numerical Analysis & Optimization
  • A6.2.1. - Numerical analysis of PDE and ODE
  • A6.2.2. - Numerical probability
  • A6.2.3. - Probabilistic methods
  • A6.2.4. - Statistical methods
  • A6.2.5. - Numerical Linear Algebra
  • A6.3. - Computation-data interaction
  • A6.3.1. - Inverse problems
  • A6.3.2. - Data assimilation
  • A6.3.4. - Model reduction
  • A6.3.5. - Uncertainty Quantification
  • A6.5. - Mathematical modeling for physical sciences
  • A6.5.2. - Fluid mechanics
  • A6.5.5. - Chemistry
Other Research Topics and Application Domains:
  • B1. - Life sciences
  • B1.1. - Biology
  • B1.1.1. - Structural biology
  • B3. - Environment and planet
  • B3.2. - Climate and meteorology
  • B4. - Energy
  • B4.2. - Nuclear Energy Production
  • B4.2.1. - Fission