AsProposed

chapters/equations.tex

@@ -360,7 +360,7 @@ \subsubsection{Equations within When-Equations}\label{restrictions-on-equations-
 \end{lstlisting}
 \end{example}
 
-\subsubsection{Application of the Single-assignment Rule to When-Equations}\label{application-of-the-single-assignment-rule-to-when-equations}
+\subsubsection{Single Assignment Rule Applied to When-Equations}\label{application-of-the-single-assignment-rule-to-when-equations}\label{single-assignment-rule-applied-to-when-equations}
 
 The Modelica single-assignment rule (\cref{synchronous-data-flow-principle-and-single-assignment-rule}) has implications for \lstinline!when!-equations:
 \begin{itemize}
@@ -858,7 +858,7 @@ \section{Initialization, initial equation, and initial algorithm}\label{initiali
 \end{lstlisting}
 \end{example}
 
-\subsection{The Number of Equations Needed for Initialization}\label{the-number-of-equations-needed-for-initialization}
+\subsection{Equations Needed for Initialization}\label{the-number-of-equations-needed-for-initialization}\label{equations-needed-for-initialization}
 
 \begin{nonnormative}
 In general, for the case of a pure (first order) ordinary differential equation (ODE) system with $n$ state variables and $m$ output variables, we will have $n+m$ unknowns in the simulation problem.
@@ -883,7 +883,7 @@ \subsection{The Number of Equations Needed for Initialization}\label{the-number-
 As noted in \cref{initialization-initial-equation-and-initial-algorithm} a tool may add/remove initial equations to fulfill this requirement, if appropriate diagnostics are given.
 \end{example}
 
-\subsection{Recommended selection of start values}\label{recommended-selection-of-start-values}
+\subsection{Start value recommended Priority}\label{recommended-selection-of-start-values}\label{start-value-recommended-priority}
 
 In general many variables have \lstinline!start!-attributes that are not fixed and selecting a subset of these can give a consistent set of start values close to the user-expectations.
 The following gives a non-normative procedure for finding such a subset.