X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/mpi-energy.git/blobdiff_plain/44fd629ef4ec2b0ae723f92d30015d4930f34b16..902f3596f3c6f21def5c1d8374302b0962ad9345:/paper.tex?ds=inline

diff --git a/paper.tex b/paper.tex
index f3bc3db..a7a269f 100644
--- a/paper.tex
+++ b/paper.tex
@@ -359,11 +359,10 @@ performance as follows:
 \end{equation}
 \begin{figure}
   \centering
-  \subfloat[Converted relation.]{%
-    \includegraphics[width=.5\linewidth]{fig/file}\label{fig:r1}}%
   \subfloat[Real relation.]{%
-    \includegraphics[width=.5\linewidth]{fig/file3}\label{fig:r2}}
-  \label{fig:rel}
+    \includegraphics[width=.5\linewidth]{fig/file3}\label{fig:r2}}%
+  \subfloat[Converted relation.]{%
+    \includegraphics[width=.5\linewidth]{fig/file}\label{fig:r1}}
   \caption{The energy and performance relation}
 \end{figure}
 Then, we can model our objective function as finding the maximum distance
@@ -374,7 +373,7 @@ performance) at the same time, see Figure~(\ref{fig:r1}).  Then our objective
 function has the following form:
 \begin{equation}
   \label{eq:max}
-  Max Dist = \max_{j=1,2,\dots,F}
+  \textit{Max Dist} = \max_{j=1,2,\dots,F}
       (\overbrace{P^{-1}_\textit{Norm}(S_j)}^{\text{Maximize}} -
        \overbrace{E_\textit{Norm}(S_j)}^{\text{Minimize}} )
 \end{equation}
