preconditioners for linearized discrete compressible euler equations
preconditioners for linearized discrete compressible euler equations
preconditioners for linearized discrete compressible euler equations
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Bernhard Pollul<br />
bering, the PBGS-preconditioned BiCGSTAB method does not converge in most cases.<br />
With WRG numbering, though, even with large CFL-numbers (e.g. 1000, 5000) the linear<br />
solver converges in most cases if we use PBGS. The WRG algorithm is black-box<br />
and significantly improves the robustness and efficiency of the point-block Gauss-Seidel<br />
preconditioner. For further explanation and properties of this and other renumbering<br />
algorithms we refer to [33].<br />
5 CONCLUSIONS<br />
We summarize the main conclusions. Already <strong>for</strong> our relatively simple model problems<br />
the PBSPAI(0) method turns out to be a poor preconditioner. This method should not<br />
be used in a Newton-Krylov method <strong>for</strong> solving <strong>compressible</strong> Euler <strong>equations</strong>. Both <strong>for</strong><br />
model problems and a realistic application (QUADFLOW solver <strong>for</strong> NACA0012 airfoil)<br />
the efficiencies of the PBGS preconditioner and the PBILU(0) method are comparable.<br />
For our applications the PBILU(1) and PBILU(2) <strong>preconditioners</strong> are less efficient than<br />
the PBILU(0) preconditioner. To achieve a robust preconditioner PBILU(0) and PBGS<br />
can be coupled with a suitable ordering algorithm.<br />
Acknowledgement<br />
The experiments in section 4.3 are carried ot using the QUADFLOW solver developed<br />
in the Collaborative Research Center SFB 401 [37]. The authors acknowledge the fruitful<br />
collaboration with several members of the QUADFLOW research group.<br />
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