Modelling, numerical analysis and scientific computing in PDEs

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  • Ariane Trescases
  • Gregory FAYE
  • Jean-François Coulombel

The modelling and understanding of physical and natural phenomena is an important field of research in the applied mathematical community. The models of interest arise in the physical sciences, in biology, engineering, etc. In many cases, a phenomenon of interest is modeled by some (system of) partial differential equations and the main goals of the mathematical community are to understand how the solutions to these equations, when shown to exist, can be approximated by algorithms that are efficiently implemented on computers. Such questions as stability issues, rigorous justifications of asymptotic behaviors, or convergence of numerical algorithms have been much developed for decades.

This semester aims at exploring up to date questions in this field, which are of interest for researchers in mathematics and related fields (fluid dynamics, quantum mechanics, ecology, biology and so on) with a balance between the derivation and theoretical analysis of models, the construction of efficient (possibly high order) numerical methods and their practical implementation on a computer.


Parabolic and kinetic models in population dynamics, 26 sept. - 30 sept. 2022

Coastal flow models and boundary conditions, 24 oct. - 27 oct. 2022

Numerical methods for fluid, structure and interactions problems 14 nov. - 18 nov. 2022

Kinetic and hyperbolic equations: modeling, analysis and numerics 12 déc. - 16 déc. 2022

Numerical and theoretical advances in quantum mechanics 16 janv. - 20 janv. 2023

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