11th GAMM-Workshop on

Multigrid and Hierarchic Solution Techniques

 

     
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  Program  
  Registration  
  Participants  
  Abstracts
  A. Almendral  
  M. Bader  
  R. Bank  
  M. Bebendorf  
  S. Beuchler  
  D. Braess  
  C. Douglas  
  L. Grasedyck  
  B. Khoromskij  
  R. Kornhuber  
  B. Krukier  
  U. Langer  
  C. Oosterlee  
  G. Pöplau  
  A. Reusken  
  J. Schöberl  
  M.A. Schweitzer  
  S. Serra Capizzano  
  B. Seynaeve  
  D. Smits  
  O. Steinbach  
  R. Stevenson  
  M. Wabro  
  R. Wienands  
 
     
  Dominik Smits , Stefan Vandewalle, Nico Scheerlinck, Bart Nicoai : Algebraic multigrid for a 2D and 3D biological respiration-diffusion model


At the Laboratory of PostHarvest Technology (University of Leuven), a respiration-diffusion model is being developed and studied for the oxygen consumption and carbon dioxyde production inside harvested fruit (in particular for the Conference pear). The research aims at a better understanding of the respiratory activity of fruit and the causes that affect the onset of certain fruit diseases (e.g., the diseases 'brown and hollow' or 'core breakdown'). The current mathematical model consists of a set of two coupled non-linear reaction diffusion equations, defined on a two- or three-dimensional domain, with a mixed type of boundary condition.

In this talk, we will present our experiences with the use of an algebraic multigrid method for solving the set of equations obtained after a finite element discretization of the mathematical model. We have concentrated on the use of the recent version of the systems AMG code developed by Klaus St¨ben, at the Fraunhofer Institute for Algorithms and Scientific Computing, Sankt Augustin. We will consider its application for solving both the steady-state problem and the time-evolution problem. For the latter case, we will discuss the use of different time-discretisation methods of backward differentiation or implicit Runge-Kutta type. For the implicit Runge-Kutta method, we will describe how to exploit the structure of the coefficient matrix by performing the AMG set-up phase only for a submatrix. The AMG-results will be compared with the results obtained with classical, single-level solvers.


Impressum
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