\documentclass[11pt,a4paper]{scrartcl}
\usepackage[ngerman]{babel} % Deutsches Wörterbuch usw.
\usepackage[T1]{fontenc}
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\usepackage{times} % Skalierbarer und lesbarer Zeichensatz
\usepackage{amsmath}
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\usepackage[usenames,dvipsnames]{xcolor}
\inputencoding{utf8} % Wir wollen UTF8(=keine Probleme mit Umlauten etc.)
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\usepackage[lmargin=2cm,rmargin=3.5cm,tmargin=2cm,bmargin=2cm]{geometry}
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\usepackage{fancyhdr}
\pagestyle{fancy}
%opening
\fancyhf{}
\fancyhead[L]{\textbf{Message Passing Programming\\Parallele Algorithmen und Datenverarbeitung}}
\fancyhead[R]{\textbf{Stefan Dresselhaus\\Thomas Pajenkamp}}
\fancyfoot[C]{\thepage}
\fancyfoot[R]{24. November 2013}

\usepackage{algorithm}
\usepackage[noend]{algpseudocode}

\newcommand{\abs}[1]{\ensuremath{\left\lvert#1\right\rvert}}
\newcommand{\norm}[1]{\ensuremath{\left\lVert#1\right\rVert}}
\newcommand{\mean}[1]{\ensuremath{\overline{#1}}}
\newcommand{\transp}[1]{\ensuremath{#1^{\mathsf{T}}}}

% Ende der Voreinstellungen
\begin{document}

%\title{Message Passing Programming}
%\author{Stefan Dresselhaus \and Thomas Pajenkamp}
%\date{24. November 2013}
%\maketitle

\section*{Heuristik für \glqq{}Densely-connected Biclustering\grqq{}}

\begin{algorithm*}
\caption{Densely-connected Biclustering}
\begin{algorithmic}[1]
\Function{testHomogenity}{$A$, $\omega$, $\delta$, $g$}
 \State $l \gets (\transp{A})_{g_0}$, $l \gets u$
 \ForAll {nodes $i$ from $g \setminus \lbrace g_0\rbrace$}
   \ForAll {dimensions $d$ of attribute matrix $A$}
     \State $l \gets \min\lbrace l_d, A_{id}\rbrace$, $u \gets \max\lbrace l_d, A_{id}\rbrace$
   \EndFor
 \EndFor
 \State $c \gets 0$
 \ForAll {dimensions $d$ of attribute matrix $A$}
    \If {$\abs{u_d - l_d} \leq \omega_d $}
      \State $c \gets c+1$
      \If {$c \geq \delta$}
        \State \Return {true}
      \EndIf
    \EndIf
 \EndFor
 \Return {false}
\EndFunction
\end{algorithmic}
\begin{algorithmic}[1]
\Function{preprocessGraph}{$M$, $A$, $\omega$, $\delta$}
 \State $G \gets \emptyset$
 \ForAll {rows $i$ of adjacency matrix $M$}
   \ForAll {columns $j$ of adjacency matrix $M$}
     \If {$M_{ij} = 1$}
       \If {\Call{testHomogenity}{$A$, $\omega$, $\delta$, $\lbrace i , j\rbrace$}}
         \State $G \gets G \cup \lbrace \lbrace i, j\rbrace \rbrace$
       \Else
         \State $M_{ij} = 0$, $M_{ji} = 0$
       \EndIf
     \EndIf
   \EndFor
 \EndFor
 \Return {$G$}
\EndFunction
\end{algorithmic}
\begin{algorithmic}[1]
\Function{DCB}{$M$, $A$, $\alpha$, $\omega$, $\delta$}
 \State $G \gets $ \Call{preprocessGraph}{$M$, $A$, $\omega$, $\delta$}
 \State $F \gets \emptyset$
 \While {$G \neq \emptyset$}
   \State $G' \gets G$, $G \gets \emptyset$
   \ForAll {node sets $g$ in $G'$}
     \State $b \gets \text{true}$
     \ForAll {connected nodes $h$ with $h > \max g$}
       \State $\hat{g} \gets g \cup \lbrace h\rbrace$
       \If {\Call{testHomogenity}{$A$, $\omega$, $\delta$, $\hat{g}$} $\wedge$ \Call{graphDensity}{$M$, $\hat{g}$} $\leq$ $\alpha$}
         \State $G \gets G \cup \lbrace \hat{g} \rbrace$
         \State $b \gets \text{false}$
       \EndIf
     \EndFor
     \If {$b$}
       \State $F \gets F \cup \lbrace g\rbrace$
     \EndIf
   \EndFor
 \EndWhile
 \State \Return $F$
\EndFunction
\end{algorithmic}
\end{algorithm*}

\end{document}