X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/rce2015.git/blobdiff_plain/bc2198a79238fd0624ab3465e8c2c41b0c84d640..7c8fb94ad3ce704f81876b1dade93846a931a5a8:/paper.tex?ds=inline

diff --git a/paper.tex b/paper.tex
index 4d0bfe2..46ecc39 100644
--- a/paper.tex
+++ b/paper.tex
@@ -715,7 +715,7 @@ get    the   highest    \textit{"relative    gain"}   (exec\_time$_{GMRES}$    /
 exec\_time$_{multisplitting}$) in comparison with the classical GMRES time.
 
 
-The test conditions are summarized in the table below : \\
+The test conditions are summarized in the table below: \\
 
 \begin{figure} [ht!]
 \centering
@@ -731,14 +731,14 @@ The test conditions are summarized in the table below : \\
 \end{figure}
 
 Again,  comprehensive and  extensive tests  have been  conducted with  different
-parametes as  the CPU power, the  network parameters (bandwidth and  latency) in
-the simulator tool  and with different problem size. The  relative gains greater
-than 1  between the  two algorithms have  been captured after  each step  of the
-test.   In  Figure~\ref{table:01}  are  reported the  best  grid  configurations
-allowing the  multisplitting method to  be more than  2.5 times faster  than the
+parameters as  the CPU power, the  network parameters (bandwidth and  latency)
+and with different problem size. The  relative gains greater than $1$  between the
+two algorithms have  been captured after  each step  of the test.   In
+Figure~\ref{table:01}  are  reported the  best  grid  configurations allowing
+the  multisplitting method to  be more than  $2.5$ times faster  than the
 classical  GMRES.  These  experiments also  show the  relative tolerance  of the
 multisplitting algorithm when using a low speed network as usually observed with
-geographically distant clusters throuth the internet.
+geographically distant clusters through the internet.
 
 % use the same column width for the following three tables
 \newlength{\mytablew}\settowidth{\mytablew}{\footnotesize\np{E-11}}