X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/book_gpu.git/blobdiff_plain/c08513a856650905e4751c8b52c7cbb661368a5f..063fd4437e9bfbefc2f6ed6c932744bb20514751:/BookGPU/Chapters/chapter6/PartieAsync.tex?ds=inline

diff --git a/BookGPU/Chapters/chapter6/PartieAsync.tex b/BookGPU/Chapters/chapter6/PartieAsync.tex
index 1623f8c..1617ffb 100644
--- a/BookGPU/Chapters/chapter6/PartieAsync.tex
+++ b/BookGPU/Chapters/chapter6/PartieAsync.tex
@@ -621,7 +621,7 @@ execution. They are similar to the mechanism used for managing the end messages
 at the end of the entire process.  Line~23 directly updates the
 number of other nodes that are in local convergence by adding the
 received state of the source node. This is possible due to the encoding that is used to
-represent the local convergence (1) and the non convergence (0).
+represent the local convergence (1) and the nonconvergence (0).
 
 %\begin{algorithm}[H]
 %  \caption{Reception function in the synchronized scheme.}
@@ -1174,7 +1174,7 @@ account in  the main computations  when it is  relevant. So, the  Newton process
 should be  accelerated a little bit.
 
 We  compare the  performance obtained  with overlapped  Jacobian  updatings and
-non overlapped ones for several problem sizes (see~\Fig{fig:ch6p2aux}).
+nonoverlapped ones for several problem sizes (see~\Fig{fig:ch6p2aux}).
 \begin{figure}[h]
   \centering
   \includegraphics[width=.75\columnwidth]{Chapters/chapter6/curves/recouvs.pdf}