下给出使用latex进行算法排版的几个例子，以供参考：
\usepackage[english]{babel}
\usepackage{blindtext}
\usepackage{algorithm} %format of the algorithm
\usepackage{algorithmic} %format of the algorithm
<?xml:namespace prefix = o />
\begin{document}
\blindtext
\begin{algorithm}[htb] %算法的开始
\renewcommand{\algorithmicrequire}{\textbf{Input:}}
\renewcommand\algorithmicensure {\textbf{Output:} }
\caption{ Framework of ensemble learning for our system.} %算法的标题
\label{alg:Framwork} %给算法一个标签，这样方便在文中对算法的引用
\begin{algorithmic}[1] %这个1 表示每一行都显示数字
\REQUIRE ~~\\ %算法的输入参数：Input
The set of positive samples for current batch, $P_n$;\\
The set of unlabelled samples for current batch, $U_n$;\\
Ensemble of classifiers on former batches, $E_{n-1}$;
\ENSURE ~~\\ %算法的输出：Output
Ensemble of classifiers on the current batch, $E_n$;\\
\STATE Extracting the set of reliable negative and/or positive samples $T_n$ from $U_n$ with help of $P_n$; label{code:fram:extract} %算法的一个陈述，对应算法的一个步骤或公式之类的； label{ code:fram:extract }对此行的标记，方便在文中引用算法的某个步骤
\STATE Training ensemble of classifiers $E$ on $T_n cup P_n$, with help of data in former batches; label{code:fram:trainbase}
\STATE $E_n=E_{n-1}cup E$; label{code:fram:add}
\STATE Classifying samples in $U_n-T_n$ by $E_n$; label{code:fram:classify}
\STATE Deleting some weak classifiers in $E_n$ so as to keep the capacity of $E_n$; label{code:fram:select}
\RETURN $E_n$; %算法的返回值
\end{algorithmic}
\end{algorithm}
\blindtext
\end{document}
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2.
\documentclass{article}
\usepackage[english]{babel}
\usepackage{blindtext}
\usepackage{algorithm} %format of the algorithm
\usepackage{algorithmic} %format of the algorithm
\begin{document}
\blindtext
\begin{algorithm}[h]
\caption{An example for format For While Loop in Algorithm}
\begin{algorithmic}[1]
\FOR{each $iin [1,9]$}
\STATE initialize a tree $T_{i}$ with only a leaf (the root);\
\STATE $T_{i};$\
\ENDFOR
\FOR{$i=1$; $i<n$; $i++$ }
\STATE $//$ Your source here;
\ENDFOR
\WHILE {$(|E_n| leq L_1 )and(Deq phi)$}
\STATE Selecting the most recent classifier $c_i$ from $D$;
\STATE $D=D-c_i$;
\STATE $E_n=E_n+c_i$;
\ENDWHILE \label{code:recentEnd}
\end{algorithmic}
\end{algorithm}
\blindtext
\end{document}
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转：http://hi.baidu.com/chong_jing/item/1e6a9832c05bf0352f0f817f