NewDocs

docs/html/node14.html

@@ -172,7 +172,7 @@ Furthermore, specifying block-Jacobi as coarsest-level
 solver implies that the coarsest-level matrix is distributed
 among the processes.
 Figure&nbsp;<A HREF="#fig:ex3">4</A> shows how to set a W-cycle preconditioner which
-applies no pre-smoother and 2 Gauss-Seidel sweeps as post-smoother,
+applies 2 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
@@ -180,15 +180,15 @@ replicated and distributed matrices, and by default
 it is used on replicated ones. Note the use of the parameter <code>pos</code>
 to specify a property only for the pre-smoother or the post-smoother
 (see Section&nbsp;<A HREF="node17.html#sec:precset">6.2</A> for more details).
-Note also that a Krylov method different from CG must be used to solve
-the preconditioned system, since the preconditione in nonsymmetric.
 The code fragments shown in Figures&nbsp;<A HREF="#fig:ex2">3</A> and <A HREF="#fig:ex3">4</A> are
 included in the example program file <code>mld_dexample_ml.f90</code> too.
 
 <P>
 Finally, Figure&nbsp;<A HREF="#fig:ex4">5</A> shows the setup of a one-level
-additive Schwarz preconditioner, i.e., RAS with overlap 2. The
+additive Schwarz preconditioner, i.e., RAS with overlap 2.
-corresponding example program is available in the file
+Note also that a Krylov method different from CG must be used to solve
+the preconditioned system, since the preconditione in nonsymmetric.
+The corresponding example program is available in the file
 <code>mld_dexample_1lev.f90</code>. 
 
 <P>
@@ -242,20 +242,18 @@ setup of a multi-level preconditioner</CAPTION>
 <PRE>
 ... ...
 ! build a W-cycle preconditioner with 2 Gauss-Seidel sweeps as 
-! post-smoother (and no pre-smoother), a distributed coarsest
+! 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',0,info,pos='PRE')
+  call P%set('SMOOTHER_SWEEPS',2,info,pos='PRE')
   call P%set('SMOOTHER_SWEEPS',2,info,pos='POST')
   call P%set('COARSE_SOLVE','MUMPS',info)
   call P%set('COARSE_MAT','DIST',info)
   call P%hierarchy_build(A,desc_A,info)
   call P%smoothers_build(A,desc_A,info)
 ... ...
-! solve Ax=b with preconditioned BiCGSTAB
-  call psb_krylov('BICGSTAB',A,P,b,x,tol,desc_A,info)
 </PRE>
 </TD></TR>
 </TABLE>
@@ -282,6 +280,8 @@ setup of a one-level Schwarz preconditioner.</CAPTION>
   call P%set('SUB_OVR',2,info)
   call P%bld(A,desc_A,info)
 ... ...
+! solve Ax=b with preconditioned BiCGSTAB
+  call psb_krylov('BICGSTAB',A,P,b,x,tol,desc_A,info)
 </PRE>
 </TD></TR>
 </TABLE>

docs/html/node28.html

@@ -63,7 +63,7 @@ Mathematics Department, Macquarie University, Sydney.
 The command line arguments were: <BR>
  <STRONG>latex2html</STRONG> <TT>-local_icons -noaddress -dir ../../html userhtml.tex</TT>
 <P>
-The translation was initiated by Salvatore Filippone on 2017-07-19
+The translation was initiated by Salvatore Filippone on 2017-07-20
 <BR><HR>
 
 </BODY>

docs/mld2p4-2.1-guide.pdf

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