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Changes from Pasqua to example files and docs.

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Pasqua D'Ambra
2017-07-20 20:35:05 +02:00
parent 3fc588520f
commit d45c198b48
10 changed files with 55 additions and 61 deletions
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docs/src/gettingstarted.tex
+10 -10
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@@ -219,14 +219,15 @@ Furthermore, specifying block-Jacobi as coarsest-level
solver implies that the coarsest-level matrix is distributed
among the processes.
Figure~\ref{fig:ex3} shows how to set a W-cycle preconditioner which
applies 2 Gauss-Seidel sweeps as pre- and post-smoother,
applies 2 hybrid Gauss-Seidel sweeps as pre- and post-smoother,
and solves the coarsest-level system with the multifrontal LU factorization
implemented in MUMPS. It is specified that the coarsest-level
matrix is distributed, since MUMPS can be used on both
replicated and distributed matrices, and by default
it is used on replicated ones. Note the use of the parameter \verb|pos|
to specify a property only for the pre-smoother or the post-smoother
(see Section~\ref{sec:precset} for more details).
it is used on replicated ones.
%Note the use of the parameter \verb|pos|
%to specify a property only for the pre-smoother or the post-smoother
%(see Section~\ref{sec:precset} for more details).
The code fragments shown in Figures~\ref{fig:ex2} and \ref{fig:ex3} are
included in the example program file \verb|mld_dexample_ml.f90| too.
@@ -281,14 +282,13 @@ boundary conditions are also available in the directory \verb|examples/pdegen|.
{\small
\begin{verbatim}
... ...
! build a W-cycle preconditioner with 2 Gauss-Seidel sweeps as
! pre- and post-smoother, a distributed coarsest
! build a W-cycle preconditioner with 2 hybrid Gauss-Seidel sweeps
! as pre- and post-smoother, a distributed coarsest
! matrix, and MUMPS as coarsest-level solver
call P%init('ML',info)
call P%set('ML_TYPE','WCYCLE',info)
call P%set('SMOOTHER_TYPE','GS',info)
call P%set('SMOOTHER_SWEEPS',2,info,pos='PRE')
call P%set('SMOOTHER_SWEEPS',2,info,pos='POST')
call P%set('ML_CYCLE','WCYCLE',info)
call P%set('SMOOTHER_TYPE','FBGS',info)
call P%set('SMOOTHER_SWEEPS',2,info)
call P%set('COARSE_SOLVE','MUMPS',info)
call P%set('COARSE_MAT','DIST',info)
call P%hierarchy_build(A,desc_A,info)