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
\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}}
