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eth-summaries/semester2/algorithms-and-probability/aw-summary.tex

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\documentclass{article}
\newcommand{\dir}{../../latex}
\input{\dir/include.tex}
\load{recommended}
\setup{Algorithms and Probability}
\begin{document}
\startDocument
\usetcolorboxes
\setcounter{numberingConfig}{3}
\vspace{2cm}
\begin{Huge}
\begin{align*}
& \Pr[X|Y] \geq \Pr[X|\overline{Y}] \\
X & := \text{I pass the exam} \\
Y & := \text{I read this summary}
\end{align*}
\end{Huge}
\vspace{4cm}
\begin{center}
\begin{Large}
``\textit{Dieses Algorithmus mapped $E$ nach $E$ Strich}''
\end{Large}
\hspace{3cm} - Rasmus Kyng, 2025
\end{center}
\vspace{3cm}
\begin{center}
FS2025, ETHZ\\[0.2cm]
\begin{Large}
Summary of the Script and Lectures
\end{Large}\\[0.2cm]
\end{center}
\newpage
\printtoc{ForestGreen}
% Graph algorithms
\input{parts/graphs/intro.tex}
\input{parts/graphs/connectivity.tex}
\input{parts/graphs/cycles.tex}
\input{parts/graphs/matchings.tex}
\input{parts/graphs/colourings.tex}
% Section on combinatorics
\input{parts/combinatorics.tex}
% Probability
\input{parts/probability/intro.tex}
\input{parts/probability/conditional-probability.tex}
\input{parts/probability/independence.tex}
\input{parts/probability/random-variable.tex}
\input{parts/probability/discrete-distribution.tex}
\input{parts/probability/multiple-random-variales.tex}
\input{parts/probability/approximating-probabilities.tex}
\input{parts/probability/algorithms.tex}
% Algorithms
\input{parts/algorithms/long-path.tex}
\input{parts/algorithms/flows/intro.tex}
\input{parts/algorithms/flows/max-flow-min-cut.tex}
\input{parts/algorithms/flows/algorithms.tex}
\input{parts/algorithms/flows/examples.tex}
\input{parts/algorithms/}
\input{parts/coding.tex}
\end{document}