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@@ -104,8 +104,6 @@ this does not necessarily correspond to the shortest execution time
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on parallel computers.
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{\em DA MODIFICARE PER INSERIRE TIPO DI AGGREGAZIONE}
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\subsection{Examples\label{sec:examples}}
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The code reported in Figure~\ref{fig:ex1} shows how to set and apply the default
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@@ -211,8 +209,7 @@ with block-Jacobi and set by~\verb|P%init|.
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Furthermore, specifying block-Jacobi as coarsest-level
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solver implies that the coarsest-level matrix is distributed
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among the processes.
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Figure~\ref{fig:ex3} shows how to set a W-cycle preconditioner using
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the Coarsening based on Compatible Weighted Matching. It applies
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Figure~\ref{fig:ex3} shows how to set a W-cycle preconditioner using the Coarsening based on Compatible Weighted Matching. It applies
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2 hybrid Gauss-Seidel sweeps as pre- and post-smoother,
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and solves the coarsest-level system with the multifrontal LU factorization
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implemented in MUMPS. It is specified that the coarsest-level
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