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\title{Title\thanks{Thanks}}
\author{\begin{tabular}{ccc}
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\textsc{author 1}\thanks{author 1 details} & & \textsc{author 2}\thanks{author 2 details}\\
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author 1 affiliation & & author 2 affiliation\\
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\date{\today}
\maketitle

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\begin{abstract}
Abstract here
\end{abstract}

\newpage \doublespacing

\section{Introduction}\label{sec:intro}

Text here.\footnote{Footnote here.}

Some text styles: normal, \textbf{bold}, \emph{italics}, \texttt{programming}.

Some references: (in collection) \cite{aigner_etal84}, (journal) \cite{anderson_etal82}, (book) \cite{beazley01}, (other) \cite{dale_etal10}.

Reference to Section \ref{sec:intro}.

\subsection{A subsection}

\subsubsection{A subsubsection}

\begin{figure}[!htb]
\begin{center}
\includegraphics[height=10cm,width=16cm,angle=0]{./idle_screenshot.jpg}
\caption{Caption for jpg figure.}
\label{fig:idle_screenshot}
\end{center}
\end{figure}

Reference to Figure \ref{fig:idle_screenshot}.

\begin{figure}[!htb]
\begin{center}
\includegraphics[height=11cm,width=16cm,angle=0]{./descriptive.pdf}
\caption{Caption for pdf figure.}
\label{fig:rplots}
\end{center}
\end{figure}

Reference to Figure \ref{fig:rplots}.

An in-text equation: $\mathrm{Prob}(y_{i}=1)=\Phi(x_{i}'\beta)+u_{i}, \ i=1,2,\ldots,100$.

A numbered equation:
\begin{equation}\label{eq:loglik}
-\ln \mathcal{L}(\beta)=-\sum_{i=1}^{100}\{y_{i}\ln\Phi(x_{i}'\beta)+(1-y_{i})\ln(1-\Phi(x_{i}'\beta))\}.
\end{equation}

A reference to an equation: \ref{eq:loglik}.

A non-numbered equation:
\begin{equation*}
\frac{\partial(-\ln \mathcal{L}(\beta))}{\partial\beta}=
-\sum_{i=1}^{100}\left(\frac{\phi(x_{i}'\beta)(y_{i}-\Phi(x_{i}'\beta))}{\Phi(x_{i}'\beta)(1-\Phi(x_{i}'\beta))}\right)x_{i}.
\end{equation*}

A bullet list:

\begin{itemize}
\item one
\item two
\end{itemize}

A table (note the positioning of the Table):

\begin{table}
\footnotesize
\begin{center}
\begin{tabular}{lcccccc}
\textbf{Test} & \textbf{Python} & \textbf{GAUSS} & \textbf{Mathematica} & \textbf{Ox} & \textbf{R} & \textbf{Scilab}\\ \hline
\\
Fast Fourier Transform over vector & \colorbox{yellow}{0.2} & 2.2 & \colorbox{yellow}{0.2} & \colorbox{yellow}{0.2} & 0.6 & 0.7\\
Linear solve of $Xw=y$ for $w$ & \colorbox{yellow}{0.2} & 2.4 & \colorbox{yellow}{0.2} & 0.7 & 0.8 & \colorbox{yellow}{0.2}\\
Vector numerical sort & \colorbox{yellow}{0.2} & 0.9 & 0.5 & \colorbox{yellow}{0.2} & 0.4 & 0.3\\
Gaussian error function over matrix & 0.3 & 0.9 & 3.6 & \colorbox{yellow}{0.1} & 1.0 & 0.3\\
Random Fibonacci numbers & \colorbox{yellow}{0.3} & 0.4 & 2.3 & \colorbox{yellow}{0.3} & 0.6 & 0.5\\
Cholesky decomposition & 0.4 & 1.6 & 0.3 & 0.6 & 1.3 & \colorbox{yellow}{0.2}\\
Data import and statistics & 0.4 & \colorbox{yellow}{0.2} & 0.5 & 0.3 & 0.8 & 0.3\\
Gamma function over matrix & 0.5 & 0.7 & 3.3 & \colorbox{yellow}{0.2} & 0.7 & \colorbox{yellow}{0.2}\\
Matrix element-wise exponentiation & 0.5 & 0.7 & \colorbox{yellow}{0.2} & \colorbox{yellow}{0.2} & 0.8 & 0.6\\
Matrix determinant & 0.7 & 7.3 & 0.5 & 3.4 & 2.1 & \colorbox{yellow}{0.4}\\
Matrix dot product & 1.4 & 8.9 & \colorbox{yellow}{1.0} & 1.7 & 7.8 & \colorbox{yellow}{1.0}\\
Matrix inverse & 2.0 & 7.3 & 1.9 & 6.4 & 9.0 & \colorbox{yellow}{1.4}\\
Two nested loops$^{\star}$ & 8.1 & \colorbox{yellow}{4.3} & 84.7 & 4.8 & 58.0 & 295.9\\
Principal components analysis & \colorbox{yellow}{11.1} & 359.0 & 141.7 & n/a & 55.9 & 88.3\\
Computation of eigenvalues & 32.3 & 90.2 & 24.2 & 21.7 & \colorbox{yellow}{13.6} & 17.3\\
& & & & &\\ \hline
& & & & &\\
\textbf{Overall performance} & \textbf{67\%} & \textbf{30\%} & \textbf{53\%} & \textbf{70\%} & \textbf{29\%} & \textbf{65\%}\\
\end{tabular}
\caption{Caption here.}
\label{tab:speed_test_results}
\end{center}
\end{table}

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\bibliographystyle{acm}
\bibliography{refs}
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\appendix
\section{Appendix}\label{sec:appendix}
\subsection{An appendix}

\end{document}
