LaTeX for Computer Science

Document Your Algorithms

From algorithms to complexity analysis, LaTeX helps you present computer science research with clarity and professionalism.

Essential LaTeX Features for Computer Science

Pseudocode

Beautiful algorithms with algorithm2e or algorithmicx

Code Listings

Syntax-highlighted code with listings or minted

Complexity Notation

Big-O notation and complexity classes

Graphs & Trees

Data structure visualizations with TikZ

Computer Science LaTeX Examples

Algorithm

Algorithm with pseudocode

\begin{algorithm}
  \While{$i < n$}{
    $sum \gets sum + a[i]$\;
    $i \gets i + 1$\;
  }
  \Return{$sum$}
\end{algorithm}

Complexity

Complexity analysis notation

The algorithm runs in $O(n \log n)$ time and $\Theta(n)$ space.

Code Listing

Syntax-highlighted code

\begin{lstlisting}[language=Python]
def hello():
    print("Hello, World!")
\end{lstlisting}

Essential Packages for Computer Science

algorithm2e

listings

minted

complexity

tikz

forest

All packages pre-installed in Thetapad. No configuration needed.

Computer Science Templates

CS Conference Paper

ACM/IEEE format

Use template

CS Thesis

Graduate thesis template

Use template

Technical Report

Internal documentation

Use template

Common Use Cases

Conference papers

Algorithm documentation

Technical reports

PhD dissertations

Course materials

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Computer Science LaTeX Examples

Algorithm

Algorithm with pseudocode

\begin{algorithm}
  \While{$i < n$}{
    $sum \gets sum + a[i]$\;
    $i \gets i + 1$\;
  }
  \Return{$sum$}
\end{algorithm}

Complexity

Complexity analysis notation

The algorithm runs in $O(n \log n)$ time and $\Theta(n)$ space.

Code Listing

Syntax-highlighted code

\begin{lstlisting}[language=Python]
def hello():
    print("Hello, World!")
\end{lstlisting}