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chapters/chap02/chap02.tex

@@ -123,7 +123,7 @@ describe the application of these principles in epidemiological models.
 
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-\section{Epidemiological Models   3}
+\section{Epidemiological Models   4}
 \label{sec:epidemModel}
 
 Pandemics, like \emph{COVID-19}, which has resulted in a significant
@@ -150,7 +150,7 @@ and relations that are pivotal to understanding the problem.
 
 % -------------------------------------------------------------------
 
-\subsection{SIR Model   2}
+\subsection{SIR Model   3}
 \label{sec:pandemicModel:sir}
 
 In 1927, Kermack and McKendrick~\cite{1927} introduced the \emph{SIR Model},
@@ -518,7 +518,7 @@ systems.
 
 % -------------------------------------------------------------------
 
-\section{Physics Informed Neural Networks   5}
+\section{Physics Informed Neural Networks   4}
 \label{sec:pinn}
 
 In~\Cref{sec:mlp}, we describe the structure and training of MLP's, which are
@@ -629,7 +629,7 @@ parameter and the observation loss.
 
 % -------------------------------------------------------------------
 
-\subsection{Disease Informed Neural Networks   2}
+\subsection{Disease Informed Neural Networks   1}
 \label{sec:pinn:dinn}
 In this section, we describe the capability of MLP's to solve systems of
 differential equations. In~\Cref{sec:pandemicModel:sir}, we describe the SIR