Summer school on DDM à Nice 2018

Laboratoire Dieudonné

19 to 21 of june 2018

 

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Sponsors :

List of speakers :

  • Gabriele Ciaramella (Constance)
  • Martin J. Gander (Genève)
  • Laurence Halpern (Paris XIII)
  • Felix Kwok (Hong Kong)
  • Veronique Martin (Amiens)
  • Roland Masson (Nice)
  • Tommaso Vanzan (Genève)


Timetable :


Tuesday 19 june
Wednesday 20 june Thursday 21 june

9:00-10:30 Felix Kwok
Veronique Martin
10:30-11:00 Coffee Break Coffee Break

11:00-12:30 Laurence Halpern
Tommaso Vanzan
12:30-14:00 Lunch Lunch
14:00-15:30 Martin Gander
14:00-16:00 TP1 (Tommaso Vanzan and Martin Gander)
TP2 (Gabriele Ciaramella and Felix Kwok)
15:30-16:00 Coffee Break 16:00-16:30 Coffee Break
16:00-17:30 Gabriele Ciaramella
16:30-18:00 Roland Masson



Detailed program :

  • Gabriele Ciaramella Classical Schwarz Methods
    In this lecture, classical Schwarz methods are introduced and their convergence behavior discussed. Using a Fourier analysis the main convergence properties of these methods are presented. Moreover, some examples of modern applications of classical Schwarz methods are discussed underlying their unusual scalability in certain situations. If time permits, further classical techniques for convergence analysis, like maximum principle and orthogonal projection, will be treated.
  • Martin J. Gander Homogeneous and Heterogeneous Domain Decomposition Methods.
    I will first give an overview of classical domain decomposition methods of Schwarz, Dirichlet-Neumann and Neumann-Neumann type. I will then present the extension of these methods to time dependent problems, which leads to waveform relaxation variants of these methods. I will finally explain the difference between homogeneous and heterogeneous domain decomposition methods, and define two classes of heterogeneous domain decomposition problems.
  • Laurence Halpern Schwarz waveform relaxation and best approximation problem.
    For the heat equation, introduce rapidly the algorithm, give the behavior over long and short time intervals. Then define the complex best approximation problem in $\mathbb{P}_n$, and give details on the existence, uniqueness and approximation results, for the real and complex problems. I will show application to Robin and Ventcell transmission conditions.
  • Felix Kwok Dirichlet-Neumann and Neumann-Neumann Methods.
    In this lecture, we introduce the Dirichlet-Neumann (DN) and Neumann-Neumann (NN) methods, which are naturally formulated on non-overlapping domain decompositions. We will discuss their convergence behaviour on two subdomains, first in 1D, then in 2D using Fourier techniques seen in Lecture 1. The influence of geometry and relaxation parameters will be discussed. If time permits, we will explain how these methods can be extended to yield FETI and BDDC methods, which are very powerful methods that can be used for problems with complicated geometries.
  • Veronique Martin Heterogeneous Methods for Homogeneous Problems.
    In this talk we consider domain decomposition methods where different models are solved in different subdomains: we want to approximate a homogeneous object with different approximations with the aim to reduce the global cost. We will present a method based on the factorization of the operator, starting with a simple one dimensional case for advection reaction diffusion, then we will generalize to the space-time equation.
  • Roland Masson Heterogeneous Methods for drying problems.
    Robin Robin domain decomposition methods are discussed to solve the nonlinear coupling between liquid gas Darcy and free gas flow and transport. This type of drying models is of interest in various applications ranging from food processing, wood or paper production, salinization of agricultural land, prediction of convective heat and moisture transfer at exterior building surfaces, to the study of the mass and energy exchanges at the interface between a nuclear waste disposal and the ventilation galleries.
  • Tommaso Vanzan Heterogeneous domain decomposition methods
    The aim of the lecture is to introduce optimized Schwarz methods (OSM) which, due to their favorable convergence properties in the absence of overlap and their capability to take physical properties at the interfaces into account, are natural domain decomposition methods for heterogeneous problems. We will use mainly the Stokes-Darcy coupling as a model problem to present OSM and to investigate the limit of the classical approach used to optimize the parameters.


Organizing Committee:

Victorita Dolean, Martin J. Gander, Stella Krell, Marie-Cécile Lafont, Roland Masson and Chiara Soresi.

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