X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/GMRES2stage.git/blobdiff_plain/fc8e999ae15f3227ad6bfa96711b70236c809e77..fd0a7d17543c653d442bccd0c7ee035764e83650:/paper.tex

diff --git a/paper.tex b/paper.tex
index c559dda..e23ccc2 100644
--- a/paper.tex
+++ b/paper.tex
@@ -582,11 +582,11 @@ performances.
 
 The present paper is organized  as follows. In Section~\ref{sec:02} some related
 works are presented. Section~\ref{sec:03} presents our two-stage algorithm using
-a  least-square  residual   minimization.  Section~\ref{sec:04}  describes  some
-convergence results on this method.
-   Section~\ref{sec:05}  shows   some
+a  least-square  residual  minimization.   Section~\ref{sec:04}  describes  some
+convergence   results   on  this   method.    Section~\ref{sec:05}  shows   some
 experimental results obtained on large  clusters of our algorithm using routines
-of PETSc toolkit.
+of  PETSc  toolkit.  Finally   Section~\ref{sec:06}  concludes  and  gives  some
+perspectives.
 %%%*********************************************************
 %%%*********************************************************
 
@@ -684,7 +684,7 @@ table~\ref{tab:01},  we  show  the  matrices  we  have used  and  some  of  them
 characteristics. For all  the matrices, the name, the field,  the number of rows
 and the number of nonzero elements is given.
 
-\begin{table}
+\begin{table*}
 \begin{center}
 \begin{tabular}{|c|c|r|r|r|} 
 \hline
@@ -701,7 +701,7 @@ torso3             & 2D/3D problem & 259,156 & 4,429,042 \\
 \caption{Main characteristics of the sparse matrices chosen from the Davis collection}
 \label{tab:01}
 \end{center}
-\end{table}
+\end{table*}
 
 The following  parameters have been chosen  for our experiments.   As by default
 the restart  of GMRES is performed every  30 iterations, we have  chosen to stop
@@ -810,7 +810,7 @@ Larger experiments ....
 %%%*********************************************************
 %%%*********************************************************
 \section{Conclusion}
-\label{sec:05}
+\label{sec:06}
 %The conclusion goes here. this is more of the conclusion
 %%%*********************************************************
 %%%*********************************************************