\label{eq:res}
R = \max_{i=1, \dots, N} \abs{X_i^{(k+1)} - X_i^k}
\end{equation}
-Where $N$ is the size of the vector $X$. Then, the iterative sequential algorithm stops iterating if the maximum error between the last two successive solution vectors, as in \ref{eq:res}, is less than or equal a threshold value. Otherwise, it replaces the new vector $X^{(k+1)}$ with the old vector $X^k$ and computes a new iteration.
+Where $N$ is the size of the vector $X$. Then, the iterative sequential algorithm stops iterating if the maximum error between the last two successive solution vectors, as in \ref{eq:res}, is less than or equal to a threshold value. Otherwise, it replaces the new vector $X^{(k+1)}$ with the old vector $X^k$ and computes a new iteration.
\subsection{Synchronous Parallel Iterative method}
\label{ch1:3:1}
\begin{figure}[h!]
\centering
\includegraphics[scale=0.75]{fig/ch1/sisc.pdf}
-\caption{The SICS Model}
+\caption{The SISC Model}
\label{fig:ch1:15}
\end{figure}
\begin{figure}[h!]
\centering
\includegraphics[scale=0.75]{fig/ch1/siac.pdf}
-\caption{The SIAS Model}
+\caption{The SIAC Model}
\label{fig:ch1:16}
\end{figure}