PDF file - Johannes Kepler University, Linz - JKU
PDF file - Johannes Kepler University, Linz - JKU
PDF file - Johannes Kepler University, Linz - JKU
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CHAPTER 4. AMG METHODS FOR THE MIXED PROBLEM 50<br />
Figure 4.1 Using the FE-AMG-isomorphism we can associate coarse basis functions with<br />
basis vectors of R m l . Here we have three basis functions for a certain Ql .<br />
Both are especially delicate in the multigrid setting, because if the modes illustrated in<br />
Figures 2.1 and 2.4 occur on a coarse level, then the smoother on the finer level might not<br />
damp them (they have lower frequency than the modes the smoother is intended to reduce)<br />
and the whole iteration might fail. As both terms have a non-standard h-dependence we<br />
try to reproduce this on coarser levels to avoid a ‘flattening’ of the stabilization. Numerical<br />
tests show that for the SUPG term a S in (2.27) it is sufficient to do a simple scaling, i.e.<br />
A Sl+1 = d √<br />
nl<br />
n l+1<br />
Ĩ l+1<br />
l<br />
A Si Ĩ l l+1. (4.1)<br />
The scaling of the element stabilization will be dealt with later (Section 4.1.2).<br />
Another major part of our strategy is to somehow project the relation of the velocity<br />
and pressure unknowns, which is indicated by the specific finite element, to the coarser<br />
levels. This makes it obvious that we will not construct a “black box” method, i.e. a<br />
method where the user just has to feed in the matrix, and the solution is found in optimal<br />
computation time. We try to exploit more information and hope that this will pay off.<br />
We will now construct coarse level systems, which comply with this strategy, for the<br />
conforming linear elements of Section 2.2.1, namely the modified Taylor-Hood element<br />
P 1 isoP 2 -P 1 , the P 1 -P 1 -stab element, and the Crouzeix-Raviart element P nc<br />
1 -P 0 .