diff --git a/gen_doc/LaTeX/annexes.tex b/gen_doc/LaTeX/annexes.tex
index 582a3c47a55d5aa197806b79768869ac3b74ec00..96ba14c714b720e7a78b4de9d6cca91e1e2dd00b 100644
--- a/gen_doc/LaTeX/annexes.tex
+++ b/gen_doc/LaTeX/annexes.tex
@@ -1,26 +1,25 @@
 \chapter{Annexes}\label{sec:Annexes}
 
 \section{Required packages}\label{sec:ANNEXERequiredPackages}
-\paragraph{}Here is a list of packages used in the FA$\mu$ST project. The installation of this packages are automatically done. There are nothing to do. (see the source directory "./externals").
+Here is a list of packages used in the FA$\mu$ST project. The installation of this packages are automatically done. There are nothing to do. (see the source directory "./externals").
 \begin{itemize}
-\item Library eigen \url{http://eigen.tuxfamily.org}
-\item Library openBlas \url{http://www.openblas.net}
-\item Library xml2 \url{http://xmlsoft.org}
-\item Library matio \url{https://sourceforge.net/projects/matio}
+\item Library \textbf{Eigen} \url{http://eigen.tuxfamily.org}: C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.
+\item Library \textbf{OpenBLAS} \url{http://www.openblas.net}:  Optimized BLAS library based on GotoBLAS2 1.13 BSD version.
+\item Library \textbf{xml2} \url{http://xmlsoft.org}
+\item Library \textbf{matio} \url{https://sourceforge.net/projects/matio}
 \end{itemize}
 
 \section{Compatibility between MATLAB and compiler gcc}\label{sec:ANNEXECompatibilityMatlabCompiler}
-\paragraph{Compatibility between MATLAB and compiler gcc} \textbf{Adjust your version of GCC compiler} in order to run the installation properly. The use of the mex function in Matlab requires that you have a third-party compiler installed on your system. The latest version of Matlab (2016a in our case) only supports up to GCC 4.7 (see \url{http://fr.mathworks.com/support/compilers/R2016a/index.html?sec=glnxa64} for more detail).
-To temporally change your version of gcc compiler, you can modify the environment variable CC an CXX: 
+Adjust your version of GCC compiler in order to run the installation properly. The use of the mex function in Matlab requires that you have a third-party compiler installed on your system. The latest version of Matlab (2016a in our case) only supports up to GCC 4.7 (see \url{http://fr.mathworks.com/support/compilers/R2016a/index.html?sec=glnxa64} for more detail).
+To temporally change your version of gcc compiler, you can modify the environment variable CC an CXX. For that, export your CC and CXX variables corresponding to gcc and g++ binaries path :
 \begin{itemize}
-\item \textbf{export CC and CXX variables} corresponding to gcc and g++ binaries path :\\
 \item find your gcc and g++ version path using \texttt{which} command in a terminal :
 \begin{lstlisting}
 > which gcc
 > which g++
 \end{lstlisting}
 
-\item Open your ~/.bashrc file and save the return-path of gcc and g++ like : \\
+\item Open your ~/.bashrc file and save the return-path of gcc and g++ like:
 \begin{lstlisting}[backgroundcolor=\color{white}]
 # export version of gcc
 export CC=/usr/lib64/ccache/gcc
@@ -28,23 +27,23 @@ export CXX=/usr/lib64/ccache/g++
 \end{lstlisting}
 \end{itemize}
 
-You can change the version of compiler use by mex function from matlab command: 
+An other way to change the version of compiler use by mex function from matlab command is : 
 \begin{lstlisting}
 > mex -setup
 \end{lstlisting}
 
 
 \section{Further information about Build \& Install process}\label{sec:ANNEXEInfoBuildInstall}
-\paragraph{Further information:}When using the \textbf{cmake} command to generate the build system, \textbf{cmake} performs a list of tests to determine the system configuration and manage the build system. If the configuration is correct then the build system is generated and written. In this case, the three last lines of the console log of \textbf{cmake} command should be:
+When using the \textbf{cmake} command to generate the build system, \textbf{cmake} performs a list of tests to determine the system configuration and manage the build system. If the configuration is correct then the build system is generated and written. In this case, the three last lines of the console log of \textbf{cmake} command should be:
 \begin{lstlisting}[backgroundcolor=\color{white}]
 -- Configuring done 
 -- Generating done 
 -- Build files have been written to: <YOUR/LOCAL/DIRECTORY/build>
 \end{lstlisting}
 
-\paragraph{Further information:}The command \textbf{make} will compile the build files.
+The command \textbf{make} will compile the build files.\\
 
-\paragraph{Further information:}The command \textbf{sudo make install} will install the library and others components in the default directory: \\
+The command \textbf{sudo make install} will install the library and others components in the default directory: \\
 \texttt{/usr/local/lib/libfaust.a} for the FA$\mu$ST library, \\
 \texttt{\textasciitilde /Documents/MATLAB/faust/} for the wrapper matlab.\\
 You must have administrator privilege because the library file \texttt{libfaust.a} is copied in an root path directory. If you do not have administrator privilege, you can realize a local install using \texttt{cmake} optional parameter \texttt{-DCMAKE\_INSTALL\_PREFIX="<Your/Install/Dir>"}. 
@@ -57,11 +56,9 @@ The \texttt{cmake} optional parameter \texttt{-G "Xcode"} allows to generate the
 
 
 
-
-
 %for windows
 \section{Required packages on Windows platform}\label{sec:WinRequiredPackages}
-\paragraph{}Here is a list of packages used in the FA$\mu$ST project. Eigen and OpenBlas library are automatically installed : there are nothing to do (see the directory "./externals/win/").
+Here is a list of packages used in the FA$\mu$ST project. Eigen and OpenBlas library are automatically installed : there are nothing to do (see the directory "./externals/win/").
 \begin{itemize}
 \item \textbf{Eigen} is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms (see \url{http://eigen.tuxfamily.org}).
 \item \textbf{OpenBLAS} is an optimized BLAS library based on GotoBLAS2 1.13 BSD version. (see \url{http://www.openblas.net}). To install OpenBlas, refer to \url{https://github.com/xianyi/OpenBLAS/wiki/Installation-Guide}. You can directly download precompiled binary here \url{https://sourceforge.net/projects/openblas/files/v0.2.14/}
diff --git a/gen_doc/LaTeX/chapExample.tex b/gen_doc/LaTeX/chapExample.tex
index 4bdc08ab4fd6139772234be161d84f69fb0c7342..3ccb580a63c07771f8bba10fb8b27e5434a1859d 100755
--- a/gen_doc/LaTeX/chapExample.tex
+++ b/gen_doc/LaTeX/chapExample.tex
@@ -5,14 +5,18 @@
 
 
 
-\paragraph{} An experience of Brain Source Localization using several gain matrices including FAuSTs and several solvers is provided. After configuring the matlab path (cf section \ref{sec:firstUseMatlabPath}). You can execute the matlab script \textbf{demo/Brain\_source\_localization/BSL.m} to run this experiment and \textbf{demo/Brain\_source\_localization/Fig\_BSL.m} to display the following pictures illustrating the speed-up using a Faµst.
-In the Matlab terminal, you just need to type :
+\paragraph{} An experience of Brain Source Localization using several gain matrices including FA$\mu$ST and several solvers is provided. After configuring the Matlab path (cf section \ref{sec:firstUseMatlabPath}), you can execute the Matlab script: \\
+\texttt{/<HOMEDIR>/Documents/MATLAB/Faust/demo/Brain\_source\_localization/BSL.m}\\
+to run this experiment and the file:\\
+\texttt{/<HOMEDIR>/Documents/MATLAB/Faust/demo/Brain\_source\_localization/Fig\_BSL.m} \\
+to display the following pictures illustrating the speed-up using a FA$\mu$ST.\\
+In the Matlab Command Window, you just need to type :
 \begin{lstlisting}
 >> BSL
 >> Fig_BSL
 \end{lstlisting}
 
-Wich allows you to visualize this figure illustrating the speed-up with a Faust ($\mathbf{M}$ is the gain dense matrix and $\widehat{\mathbf{M}}_{6},\widehat{\mathbf{M}}_{9},\widehat{\mathbf{M}}_{16},\widehat{\mathbf{M}}_{26}$ are different Faust representing  $\mathbf{M}$):
+Which allows you to visualize this figure illustrating the speed-up with a FA$\mu$ST ($\mathbf{M}$ is the gain dense matrix and $\widehat{\mathbf{M}}_{6},\widehat{\mathbf{M}}_{9},\widehat{\mathbf{M}}_{16},\widehat{\mathbf{M}}_{26}$ are different FA$\mu$ST representing  $\mathbf{M}$):
 
 \begin{figure}[!htbp]
 \label{fig:BSL}
diff --git a/gen_doc/LaTeX/chapFirstUse.tex b/gen_doc/LaTeX/chapFirstUse.tex
index 00a0c46228f024db87164696f98998fb3c4ea30a..d067a822260b160b6b808fcb5ee6979bcd237ae9 100755
--- a/gen_doc/LaTeX/chapFirstUse.tex
+++ b/gen_doc/LaTeX/chapFirstUse.tex
@@ -5,22 +5,29 @@
 It provides a user friendly new class of matrix \textbf{Faust} efficient for the multiplication with matlab built-in dense matrix class.\newline
 
 \section{Configure Matlab path}\label{sec:firstUseMatlabPath}
-In order to use matlab wrapper after the installation of Faust, launch Matlab.
-In the Matlab terminal, set your working directory to /"HOMEDIR"/Documents/MATLAB/Faust and configure the Matlab path by typing the following commands :
-
+In order to use matlab wrapper, follow the instructions :
+\begin{itemize}
+\item \textbf{Install} FA$\mu$ST tool (see preceding chapter)
+\item \textbf{Launch} Matlab.
+\item \textbf{Set the working directory} of the Matlab Command Window to :\\
+\texttt{/<HOMEDIR>/Documents/MATLAB/Faust}
+\item \textbf{Configure} the Matlab path by typing the following commands :
 \begin{lstlisting}
->> cd /"HOMEDIR"/Documents/MATLAB/Faust
+>> cd /<HOMEDIR>/Documents/MATLAB/Faust
 >> setup_Faust
 \end{lstlisting}
 
-
+\end{itemize}
 
 \section{Use a faust from a saved one}\label{sec:firstUseBuildFromSave}
-\paragraph{} Now, you can run quick\_start.m script in the Matlab terminal by typing :
+\paragraph{} Now, you can run \texttt{quick\_start.m} script in the Matlab Command Window by typing :
 \begin{lstlisting}
 >> quick_start
 \end{lstlisting}
-\paragraph{}In this script, first of all, a Faust of size 4000x5000 is loaded from a previous one that is saved into a matfile :
+\texttt{quick\_start.m} script is located in following path :\\
+\texttt{<HOMEDIR>/Documents/MATLAB/faust/demo/Quick\_start/quick\_start.m} \\
+In this script, first of all, a Faust of size 4000x5000 is loaded from a previous one that is saved into a matfile located in :\\
+\texttt{<HOMEDIR>/Documents/MATLAB/faust/demo/Quick\_start/faust\_quick\_start.mat}
 \lstinputlisting[firstline=47,lastline=48,backgroundcolor=\color{white}]{../../misc/demo/Quick_start/quick_start.m}
 \newpage
 \paragraph{}Secondly, a list of overloaded matlab function shows that a Faust is handled as a normal Matlab builtin matrix.
@@ -33,16 +40,22 @@ This is in order to illustrate the speed-up induced by the Faust. This speed-up
 
 \newpage
 \section{Construct a Faust from a given matrix}\label{sec:firstUseBuildFromMatrix}
-\paragraph{} To see an example of building a Faust from a matrix, you can run factorise\_matrix.m in the Matlab terminal by typing :
+\paragraph{} To see an example of building a Faust from a matrix, you can run \texttt{factorise\_matrix.m} in the Matlab Command Window by typing :
 \begin{lstlisting}
 >> factorise_matrix
 \end{lstlisting}
+\texttt{factorise\_matrix.m} script is located in following path :\\
+\texttt{<HOMEDIR>/Documents/MATLAB/faust/demo/Quick\_start/factorise\_matrix.m} \\
+
 In this script, from a given matrix A of size 100x200 :
 \lstinputlisting[firstline=42,lastline=47,backgroundcolor=\color{white}]{../../misc/demo/Quick_start/factorise_matrix.m}
-We generate the parameters of the factorisation from :\newline
--the dimension of A (\textbf{dim1} and \textbf{dim2}),\newline
--\textbf{nb\_factor} the number of factor of the Faust,\newline
-- and \textbf{rcg} the Rational Complexity Gain, which represents the theoretical memory gain and multiplication speed-up of the Faust compared to the initial matrix 
+We generate the parameters of the factorisation from :
+\begin{itemize}
+\item The dimension of A (\textbf{dim1} and \textbf{dim2}),
+\item \textbf{nb\_factor} the number of factor of the Faust,
+\item \textbf{rcg} the Rational Complexity Gain, which represents the theoretical memory gain and multiplication speed-up of the Faust compared to the initial matrix 
+\end{itemize}
+
 \lstinputlisting[firstline=51,lastline=56,backgroundcolor=\color{white}]{../../misc/demo/Quick_start/factorise_matrix.m}
 Then we factorize the matrix \textbf{A} into a Faust \textbf{Faust\_A}
 \lstinputlisting[firstline=58,lastline=59,backgroundcolor=\color{white}]{../../misc/demo/Quick_start/factorise_matrix.m}
@@ -50,7 +63,7 @@ And as for quickstart.m, we make some time comparison at the end.
 
 \newpage
 \section{Construct a Faust from its factor}\label{sec:firstUseBuildFactors}
-To see an example of building a Faust from its factors, you can run construct\_Faust\_from\_factors.m in the Matlab terminal by typing :
+To see an example of building a Faust from its factors, you can run construct\_Faust\_from\_factors.m in the Matlab Command Window by typing :
 \begin{lstlisting}
 >> construct_Faust_from_factors
 \end{lstlisting}