Informatika1-2012/Gyakorlat11
A MathWikiből
(Változatok közti eltérés)
34. sor: | 34. sor: | ||
<latex> | <latex> | ||
\begin{thebibliography} | \begin{thebibliography} | ||
− | \bibitem {digg} Lerman, K., and Ghosh, R. ``Information contagion: an empirical study of the spread of news on Digg and Twitter social networks'' \textit{Proceedings | + | \bibitem {digg} Lerman, K., and Ghosh, R. ``Information contagion: an empirical study of the spread of news on Digg and Twitter social networks'' \textit{Proceedings ...} (2010). |
− | \bibitem {leskovec} Leskovec, J., McGlohon, M., Faloutsos, C., Glance, N., and Hurst, M. ``Cascading behavior in large blog graphs.'' \textit{Proceedings of SIAM | + | \bibitem {leskovec} Leskovec, J., McGlohon, M., Faloutsos, C., Glance, N., and Hurst, M. ``Cascading behavior in large blog graphs.'' \textit{Proceedings of SIAM ...} (2007). |
\end{thebibliography} | \end{thebibliography} | ||
</latex> | </latex> |
A lap 2012. november 15., 16:39-kori változata
Tartalomjegyzék |
Ismétlés, egy képlet
$\displaytyle\lim_{n \rightarrow \infty} \left ( 1 + \frac{1}{n} \right ) ^ {n+1} = \mathrm{e}$
Képek
\begin{figure}[h] \begin{center} \includegraphics[width=10cm]{roc.png} \end{center} \end{figure}
Táblázatok
\begin{center} \begin{tabular}{ l | c || r } \hline 1 & 2 & 3 \\ \hline 4 & 5 & 6 \\ \hline 7 & 8 & 9 \\ \hline \end{tabular} \end{center}
Hivatkozások
\begin{thebibliography} \bibitem {digg} Lerman, K., and Ghosh, R. ``Information contagion: an empirical study of the spread of news on Digg and Twitter social networks'' \textit{Proceedings ...} (2010). \bibitem {leskovec} Leskovec, J., McGlohon, M., Faloutsos, C., Glance, N., and Hurst, M. ``Cascading behavior in large blog graphs.'' \textit{Proceedings of SIAM ...} (2007). \end{thebibliography}
Forráskód részletek
Egyéb
Szövegméretek: