X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/mpi-energy.git/blobdiff_plain/b2a65ca728f5564e5df441385c2069715aad9368..22da3d2280f6f57d0a1f1776c7eeeda78b648ee3:/paper.tex?ds=inline

diff --git a/paper.tex b/paper.tex
index 613e83b..190a50a 100644
--- a/paper.tex
+++ b/paper.tex
@@ -386,7 +386,7 @@ performance as follows:
 Then, we can modelize our objective function as finding the maximum distance
 between the energy curve EQ~(\ref{eq:enorm}) and the inverse of performance
 curve EQ~(\ref{eq:pnorm_en}) over all available scaling factors $S_j$. This represent
-the minimum energy consumption with minimum execution time (better performwhere F is the number of available frequenciesance)
+the minimum energy consumption with minimum execution time (better performance)
 in the same time, see figure~(\ref{fig:r1}). Then our objective function has the
 following form:
 \begin{equation}
