X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/book_gpu.git/blobdiff_plain/4932967a1c684dc3f7ed04c19144101278b79972..ecd01808b5702d940bd77107a2bf829d3832179b:/BookGPU/Chapters/chapter16/intro.tex

diff --git a/BookGPU/Chapters/chapter16/intro.tex b/BookGPU/Chapters/chapter16/intro.tex
index cbed054..dda1808 100644
--- a/BookGPU/Chapters/chapter16/intro.tex
+++ b/BookGPU/Chapters/chapter16/intro.tex
@@ -11,7 +11,7 @@ switching power converters. The new method first exploits the
 parallelisim in the envelope-following method and parallelize the
 Newton update solving part, which is the most computational expensive,
 in GPU platforms to boost the simulation performance.  To further
-speed up the iterative GMRES\index{GMRES} solving for Newton update equation in the
+speed up the iterative GMRES\index{iterative method!GMRES} solving for Newton update equation in the
 envelope-following method, we apply the matrix-free\index{matrix-free}
 Krylov subspace\index{Krylov subspace} basis
 generation technique, which was previously used for RF simulation.
@@ -76,13 +76,13 @@ next envelope step.
        {\resizebox{.9\textwidth}{!}{\input{./Chapters/chapter16/figures/envelope.pdf_t}}
             \label{fig:ef2} }
   \caption{Transient envelope-following\index{envelope-following} analysis.
-    (Both two figures reflect backward-Euler\index{backward-Euler} style envelope-following.)}
+    (Both two figures reflect backward Euler\index{Euler!backward Euler} style envelope-following.)}
   \label{fig:ef_intro}
 \end{figure}
 
 %\IEEEpubidadjcol
 
-Also, iterative GMRES\index{GMRES} solver is typically used in the
+Also, iterative GMRES\index{iterative method!GMRES} solver is typically used in the
 envelope-following method to compute the solution of Newton update
 due to its efficiency compared to direct LU\index{LU} method.
 However, as the Jacobian matrix\index{Jacobian matrix}