Added todos

latex/thesis/chapters/decoding_techniques.tex

@@ -199,6 +199,8 @@ of the \acp{LLR} $\gamma_i$ \cite[Sec. 2.5]{feldman_thesis}:%
         {f_{Y_i | C_i} \left( y_i \mid C_i = 1 \right) } \right)
 .\end{align*}
 %
+\todo{$C_i$ or $c_i$?}%
+%
 The authors propose the following cost function%
 \footnote{In this context, \textit{cost function} and \textit{objective function}
 have the same meaning.}
@@ -208,6 +210,8 @@ for the \ac{LP} decoding problem:%
     g\left( \boldsymbol{c} \right) = \sum_{i=1}^{n} \gamma_i c_i
 .\end{align*}
 %
+\todo{Write as dot product}
+%
 With this cost function, the exact integer linear program formulation of \ac{ML}
 decoding is the following:%
 %
@@ -234,6 +238,8 @@ decoding, redefining the constraints in terms of the \text{codeword polytope}
         \sum_{\boldsymbol{c} \in \mathcal{C}} \lambda_{\boldsymbol{c}} = 1 \right\} 
 ,\end{align*} %
 %
+\todo{$\lambda$ might be confusing here}%
+%
 which represents the \textit{convex hull} of all possible codewords,
 i.e., the convex set of linear combinations of all codewords.
 This corresponds to simply lifting the integer requirement.