\documentclass[10pt]{book}

% Be sure to use PDF Latex
\pdfoutput=1

% links
\usepackage[bookmarks,bookmarksdepth=2, colorlinks=true, linkcolor=blue,citecolor=red, urlcolor=blue]{hyperref}



\usepackage{fullpage}

\usepackage[latin1]{inputenc}
\usepackage{mystyle}
\usepackage{wrapfig}
\usepackage{notations_ot} % for OT chapter
\usepackage{pdfpages} % to include multiple pages pdf

\graphicspath{{./figures/}{./figures/ot/}}


\newcommand{\myauthor}[3]{#1\protect\footnote{#2, \protect\url{#3}}}


\title{\Huge \sf Mathematical Foundations of Data Sciences\vspace{1cm}
\includegraphics[width=.9\linewidth]{wave}} 

\author{%
\begin{tabular}{c}
	Gabriel Peyr{\'e} \\ CNRS \& DMA \\
	 \'Ecole Normale Sup\'erieure \\
	 \url{gabriel.peyre@ens.fr}\\
	 \url{https://mathematical-tours.github.io}\\
	 \url{www.numerical-tours.com}
\end{tabular}
}


\date{\today}

%%

\begin{document}

\maketitle

\include{chapters/abstract}

\include{chapters/shannon}
\include{chapters/fourier}
%%%%% \include{chapters/meshes} % REMOVED
\include{chapters/wavelets}
%%%%%\include{chapters/meshes-multires} % REMOVED
\include{chapters/approximation}
\include{chapters/compression}
\include{chapters/denoising}
\include{chapters/variational-priors}
\include{chapters/inverse-problems}
\include{chapters/sparse-regularization}
\include{chapters/convex-analysis}
\include{chapters/optim-smooth}
\include{chapters/optim-nonsmooth}
\include{chapters/sparse-theory}
\include{chapters/compressed-sensing}
\include{chapters/machine-learning}
\include{chapters/deep-learning}
%%%% \include{chapters/optimal-transport}


% \nocite{*}

\bibliographystyle{plain}
\bibliography{biblio/biblio,biblio/image,biblio/meshes}

\end{document}
