Capitalize "Euclidean" in glossary.tex

doc/theory/glossary.tex

@@ -149,7 +149,7 @@
 	\begin{equation*}
 	\langle x, y \rangle = (x_1-y_1)^2 + \cdots + (x_n-y_n)^2.
 	\end{equation*}
-	This inner product is referred to as \textit{dot product} and the associated norm and distance function are respectively named \textit{euclidean norm} and \textit{euclidean distance}.
+	This inner product is referred to as \textit{dot product} and the associated norm and distance function are respectively named \textit{Euclidean norm} and \textit{Euclidean distance}.
 
 	For any $p \in (0,\infty]$ the pair $\mathbb R^n, ||-||_p$ with 
 	\begin{equation*}
@@ -168,8 +168,8 @@
 	metric space. A \textit{distance matrix} associated to it is obtained by choosing a total order on $X = {x_1 < \cdots < x_m}$ and setting the $(i,j)$-entry to be equal to $d(x_i, x_j)$.
 
 	A \textit{point cloud} is a finite subset of $\mathbb{R}^n$ (for some $n$) together with the metric induced from the
-	% \hyperref[euclidean_distance_and_norm]{eucliden distance}
-	euclidean distance.
+	% \hyperref[euclidean_distance_and_norm]{Eucliden distance}
+	Euclidean distance.
 
 	\subsection*{$L^p$-norms} \label{functional_lp}
 
@@ -635,4 +635,4 @@
 	\bibliography{bibliography}{}
 	\bibliographystyle{alpha}
 
-\end{document}
+\end{document}